Use case blueprints for measuring agent value

Agent use case blueprints are structured patterns that describe how AI agents deliver measurable value across common business functions. Each blueprint pairs a business question with the key performance indicators (KPIs) to track, the baseline to capture before deployment, relevant value drivers, and an example that applies Microsoft's Agent Assisted Hours formula to realistic inputs.

The 16 blueprints in this article cover the functions where agents are most commonly deployed.

Blueprint What it covers
Customer service and contact center Resolve routine inquiries through self-service so representatives focus on complex, high-judgment cases.
HR and employee operations Answer routine HR questions instantly so HR partners focus on coaching, development, and change management.
IT service desk and developer productivity Resolve first-tier IT questions and unblock engineers faster so the service desk focuses on root-cause diagnosis.
Finance and invoice processing Handle routine invoice matching and exception triage so finance teams focus on analysis and supplier relationships.
Procurement and intake Route procurement requests correctly the first time so buyers focus on supplier strategy.
Knowledge and documentation Help knowledge workers find authoritative answers fast so they spend less time searching.
Sales and account management Reduce the time sellers spend on administrative tasks and prep work so every customer conversation becomes higher value.
Marketing and content operations Shorten time-to-campaign while keeping brand and compliance standards consistent.
Legal and contract operations Handle first-pass contract drafting and clause review so attorneys focus on negotiation strategy.
Executive and executive-assistant productivity Return time to senior leaders and assistants so executives stay focused on decisions and strategy.
Project management and portfolio delivery Keep projects on track without spending project managers' time on status reporting so they focus on risk and stakeholder alignment.
Field service operations Support technicians on-site with the right information so they resolve more issues on the first visit.
Public relations and corporate communications Shorten response time on media inquiries so communicators focus on narrative and relationships.
Product management Synthesize customer signals and update roadmap artifacts faster so product managers spend more time on strategy.
Cybersecurity and SOC operations Accelerate triage and incident documentation so analysts focus on investigation and response.
Supply chain and warehouse operations Coordinate shift handovers and exception routing so supervisors focus on flow, safety, and people.

When you adapt a blueprint to your own agent, replace the inputs with your own numbers. The structure stays the same. Learn more about the underlying formula and its components in Measure the impact of your agents.

Customer service and contact center

How does your agent resolve routine customer inquiries through self-service so representatives can focus on the complex cases that need human judgment and on relationship building?

Primary KPIs to track

  • Session resolution rate, engagement rate, and abandon rate. Learn more in Measure agent outcomes.
  • First-contact resolution and average handle time for escalated cases, tracked in Copilot Studio Analytics. Learn more in Analyze conversational agents
  • Customer satisfaction score (CSAT) and sentiment from the End of Conversation survey in Copilot Studio Analytics. Learn more in Effectiveness.
  • Escalation drivers, reviewed against the deflection rate.

Baseline to capture before go-live

  • Contact volume broken out by channel and intent.
  • Handle-time distribution reported as median, P90, and P99.
  • Fully loaded representative cost per hour.
  • Baseline CSAT by cohort.

Value drivers

Efficiency and Quality primarily, and Revenue indirectly, through customer retention when issues are resolved on the first try.

Tip

Learn more about the value drivers in Measure the impact of your agents.

Worked example

Your agent handles 10,000 engaged sessions per month. Of those sessions, 5,000 cite at least one knowledge source at an average of two references each. The other 5,000 sessions include 3,000 resolved and 2,000 escalated or abandoned.

Input Sample value Source
Monthly engaged sessions 10,000 Copilot Studio Analytics
Sessions citing knowledge 5,000 Copilot Studio Analytics
Average references per citing session 2 Copilot Studio Analytics
Resolved sessions without references 3,000 Copilot Studio Analytics
Escalated or abandoned sessions without references 2,000 Copilot Studio Analytics
Time savings multiplier 6 minutes Microsoft WorkLab research
Hourly rate $72 U.S. Bureau of Labor Statistics (BLS)

Step by step calculation:

  1. Knowledge references: 5,000 × 2 = 10,000.
  2. Weighted sessions without references: (3,000 × 1.0) + (2,000 × 0.7) = 4,400.
  3. Total: 10,000 + 4,400 = 14,400.
  4. Agent Assisted Hours: 14,400 × 6 ÷ 60 = 1,440 hours per month.
  5. Agent Assisted Value: 1,440 × $72 = $103,680 per month, or about $1.24M per year.

Your agent frees up about 1,440 hours each month. Representatives reinvest that time in complex cases, proactive outreach, and the coaching that improves CSAT and retention.

Microsoft tools that measure this agent

HR and employee operations

How does your agent answer routine HR questions quickly and accurately so HR partners can focus on coaching, development, and change management work that only humans can do?

Primary KPIs to track

  • Tier-1 ticket deflection rate.
  • Median time to first answer.
  • Cost per Tier-1 ticket (fully loaded).
  • Employee satisfaction with HR self-service.
  • Ticket reopen rate.

Baseline you capture before go-live

  • Tier-1 HR ticket volume broken out by category.
  • Median and P90 time to answer.
  • Fully loaded HR specialist cost per hour.
  • Baseline employee satisfaction score.

Value drivers

Efficiency, Quality, and Strategic. The increased HR capacity enables stronger talent programs.

Tip

Learn more about the value drivers in Measure the impact of your agents.

Worked example

Your HR agent handles 3,000 employee interactions per month. Of those interactions, 70 percent cite at least one knowledge reference (policy documents, benefits guides) at an average of 1.5 references each. 600 sessions resolve without a knowledge reference, and 300 escalate or abandon.

Input Sample value Source
Monthly engaged sessions 3,000 Copilot Studio Analytics
Sessions citing knowledge 2,100 Copilot Studio Analytics
Average references per citing session 1.5 Copilot Studio Analytics
Resolved sessions without references 600 Copilot Studio Analytics
Escalated or abandoned sessions without references 300 Copilot Studio Analytics
Time savings multiplier 6 minutes Microsoft WorkLab research
Hourly rate $72 U.S. Bureau of Labor Statistics)

Step by step calculation:

  1. Knowledge references: 2,100 × 1.5 = 3,150.
  2. Weighted sessions without references: (600 × 1.0) + (300 × 0.7) = 810.
  3. Total: 3,150 + 810 = 3,960.
  4. Agent Assisted Hours: 3,960 × 6 ÷ 60 = 396 hours per month.
  5. Agent Assisted Value: 396 × $72 = $28,512 per month, or about $342,000 per year.

Your HR agent returns about 396 hours of HR-partner capacity each month. That capacity flows into career conversations; manager coaching; diversity, equity, and inclusion (DEI) programming; and proactive retention work.

Microsoft tools that measure this agent

IT service desk and developer productivity

How does your agent resolve first-tier IT questions and unblock engineers faster so your service desk can focus on diagnosis and engineers spend more time building?

Primary KPIs to track

  • Session resolution rate for Tier-1 IT questions.
  • Mean time to resolution (MTTR) for escalated tickets.
  • Developer unblock time for common tooling issues.
  • Change failure rate on releases that used AI-assisted workflows.
  • Ticket deflection rate.

Baseline you capture before go-live

  • Ticket volume broken out by category and channel.
  • Baseline MTTR for L1 and L2 tickets.
  • Developer hours spent on common toolchain questions.
  • Fully loaded cost per engineer hour.

Value drivers

Efficiency and Quality, and Strategic, through faster release cadence and a better developer experience.

Tip

Learn more about the value drivers in Measure the impact of your agents.

Worked example

Your IT helpdesk agent handles 5,000 employee sessions per month. Of those sessions, 80 percent cite at least one knowledge reference (runbooks, knowledge base articles) at an average of 2.5 references each. 700 sessions resolve without a knowledge reference, and 300 escalate or abandon.

Input Sample value Source
Monthly engaged sessions 5,000 Copilot Studio Analytics
Sessions citing knowledge 4,000 Copilot Studio Analytics
Average references per citing session 2.5 Copilot Studio Analytics
Resolved sessions without references 700 Copilot Studio Analytics
Escalated or abandoned sessions without references 300 Copilot Studio Analytics
Time savings multiplier 6 minutes Microsoft WorkLab research
Hourly rate $72 U.S. Bureau of Labor Statistics

Step by step calculation:

  1. Knowledge references: 4,000 × 2.5 = 10,000.
  2. Weighted sessions without references: (700 × 1.0) + (300 × 0.7) = 910.
  3. Total: 10,000 + 910 = 10,910.
  4. Agent Assisted Hours: 10,910 × 6 ÷ 60 = 1,091 hours per month.
  5. Agent Assisted Value: 1,091 × $72 = $78,552 per month, or about $943,000 per year.

Your IT helpdesk agent returns about 1,091 hours across your organization each month. Engineers get toolchain answers faster, and service desk engineers can focus on root cause diagnosis and infrastructure improvement.

Microsoft tools that measure this agent

Finance and invoice processing

How does your autonomous agent handle routine invoice matching and exception triage so your finance team can focus on analysis, forecasting, and supplier relationships?

Primary KPIs to track

  • Touchless processing rate.
  • Invoice cycle time from intake to posting.
  • Exception rate and exception resolution time.
  • Days sales outstanding delta for invoiced revenue.
  • Match accuracy.

Baseline to capture before go-live

  • Invoice volume by class and vendor category.
  • Median cycle time and P90 cycle time.
  • Human review hours per 1,000 invoices.
  • Fully loaded cost per invoice.

Value drivers

Efficiency and Quality, and Revenue indirectly, through a faster cash cycle.

Tip

Learn more about the value drivers in Measure the impact of your agents.

Worked example

Your autonomous invoice agent processes 10,000 invoices per month. Each run makes three knowledge references (policy, vendor matching) at four minutes saved each, and executes five actions per run (posting, matching, notifying) at three minutes each. 8,500 invoices post successfully without extra actions at a rate of four minutes each.

Input Sample value Source
Monthly invoices processed 10,000 Copilot Studio autonomous agent analytics
Knowledge references per invoice 3 Copilot Studio Analytics
Actions per invoice 5 Copilot Studio Analytics
Retrieval savings per reference 4 minutes Copilot Studio agents report (customizable)
Action savings per action 3 minutes Copilot Studio agents report
Successful invoices without extra actions 8,500 Copilot Studio Analytics
Generic savings per successful invoice 4 minutes Copilot Studio agents report
Hourly rate $72 U.S. Bureau of Labor Statistics

Step by step calculation:

  1. Retrieval time saved: 10,000 × 3 × 4 = 120,000 minutes.
  2. Action time saved: 10,000 × 5 × 3 = 150,000 minutes.
  3. Generic savings on successful runs: 8,500 × 4 = 34,000 minutes.
  4. Total: 120,000 + 150,000 + 34,000 = 304,000 minutes.
  5. Agent Assisted Hours: 304,000 ÷ 60 = 5,067 hours each month.
  6. Agent Assisted Value: 5,067 × $72 = $364,800 per month, or about $4.38M per year.

Your invoice agent returns more than 5,000 hours each month to accounts payable and finance operations, and finance teams redirect that capacity toward vendor performance reviews, working-capital optimization, and strategic business partnering.

Microsoft tools that measure this agent

Procurement and intake

How does your agent route procurement requests correctly the first time so your buyers can focus on supplier strategy rather than on triaging intake forms?

Primary KPIs to track

  • First-time-right routing rate.
  • Requisition cycle time.
  • Policy compliance rate.
  • Off-catalog spend share.
  • Supplier cycle time.

Baseline to capture before go-live

  • Requisition volume broken out by category.
  • Median and P90 cycle time.
  • Routing error rate.
  • Off-catalog spend as a percentage of total.

Value drivers

Efficiency and Quality, and Revenue indirectly, through stronger supplier negotiation leverage.

Tip

Learn more about the value drivers in Measure the impact of your agents.

Worked example

Your procurement intake agent handles 1,500 requests per month. Of those requests, 90 percent cite at least one knowledge reference (policy, approved vendor lists) at two references each. 100 requests resolve without references, and 50 escalate.

Input Sample value Source
Monthly requisitions 1,500 Copilot Studio Analytics
Sessions citing knowledge 1,350 Copilot Studio Analytics
Average references per citing session 2 Copilot Studio Analytics
Resolved sessions without references 100 Copilot Studio Analytics
Escalated or abandoned sessions without references 50 Copilot Studio Analytics
Time savings multiplier 6 minutes Microsoft WorkLab research
Hourly rate $72 U.S. Bureau of Labor Statistics

Step by step calculation:

  1. Knowledge references: 1,350 × 2 = 2,700.
  2. Weighted sessions without references: (100 × 1.0) + (50 × 0.7) = 135.
  3. Total: 2,700 + 135 = 2,835.
  4. Agent Assisted Hours: 2,835 × 6 ÷ 60 = 283.5 hours per month.
  5. Agent Assisted Value: 283.5 × $72 = $20,412 per month, or about $245,000 per year.

Your procurement intake returns about 284 hours of buyer capacity each month, and buyers redirect that time toward supplier negotiation, strategic sourcing, and catalog governance.

Microsoft tools that measure this agent

Knowledge and documentation

How does your agent help knowledge workers find authoritative answers quickly so they spend less time searching and more time applying what they find?

Primary KPIs to track

  • Time to first answer.
  • Citation accuracy.
  • Per-user active days and routine adoption.
  • Document reuse rate for artifacts generated through the agent.

Baseline to capture before go-live

  • Current time to first answer, captured by sampling.
  • Citation-correctness rate in existing knowledge surfaces.
  • Knowledge-base search abandonment rate.
  • Fully loaded cost per knowledge worker hour.

Value drivers

Efficiency primarily, and Strategic, through compounding institutional memory.

Tip

Learn more about the value drivers in Measure the impact of your agents.

Worked example

Your knowledge agent handles 20,000 sessions a month for enterprise users. Of those sessions, 85 percent cite at least one knowledge reference at an average of three references each. 2,000 sessions resolve without a reference, and 1,000 escalate or abandon.

Input Sample value Source
Monthly engaged sessions 20,000 Copilot Studio Analytics
Sessions citing knowledge 17,000 Copilot Studio Analytics
Average references per citing session 3 Copilot Studio Analytics
Resolved sessions without references 2,000 Copilot Studio Analytics
Escalated or abandoned sessions without references 1,000 Copilot Studio Analytics
Time savings multiplier 6 minutes Microsoft WorkLab research
Hourly rate $72 U.S. Bureau of Labor Statistics

Step by step calculation:

  1. Knowledge references: 17,000 × 3 = 51,000.
  2. Weighted sessions without references: (2,000 × 1.0) + (1,000 × 0.7) = 2,700.
  3. Total: 51,000 + 2,700 = 53,700.
  4. Agent Assisted Hours: 53,700 × 6 ÷ 60 = 5,370 hours per month.
  5. Agent Assisted Value: 5,370 × $72 = $386,640 per month, or about $4.64M per year.

Across your organization, the knowledge agent returns more than 5,000 hours of focused work each month so people can focus on analysis, synthesis, and decision-making.

Microsoft tools that measure this agent

Sales and account management

How does your agent help sellers spend more time in customer conversations and less time on preparation and administration so every meeting is more valuable?

Primary KPIs to track

  • Seller active days on the agent.
  • Meeting-to-pipeline conversion.
  • Follow-up cycle time from meeting to next contact.
  • Forecast accuracy.
  • Advisor capacity, measured as meetings per day.

Baseline to capture before go-live

  • Seller hours on admin and meeting prep.
  • Pipeline velocity broken out by segment.
  • Baseline win rate and forecast error.

Value drivers

Revenue and Efficiency.

Tip

Learn more about the value drivers in Measure the impact of your agents.

Worked example

Your sales-assist agent supports 500 sellers. There are 2,000 engaged sessions per month (each seller uses it about once a day on average). Of those sessions, 70 percent cite knowledge references (account briefings, battle cards) at 2.5 references each. 400 sessions resolve without references, and 200 escalate.

Input Sample value Source
Monthly engaged sessions 2,000 Copilot Studio Analytics
Sessions citing knowledge 1,400 Copilot Studio Analytics
Average references per citing session 2.5 Copilot Studio Analytics
Resolved sessions without references 400 Copilot Studio Analytics
Escalated or abandoned sessions without references 200 Copilot Studio Analytics
Time savings multiplier 6 minutes Microsoft WorkLab research
Hourly rate $72 U.S. Bureau of Labor Statistics

Step by step calculation:

  1. Knowledge references: 1,400 × 2.5 = 3,500.
  2. Weighted sessions without references: (400 × 1.0) + (200 × 0.7) = 540.
  3. Total: 3,500 + 540 = 4,040.
  4. Agent Assisted Hours: 4,040 × 6 ÷ 60 = 404 hours per month.
  5. Agent Assisted Value: 404 × $72 = $29,088 per month, or about $349,000 per year.

Your sellers collectively get back about 404 hours per month. That extra time can be reinvested in better meeting preparation, faster follow-up, and more time in front of customers. These actions drive better outcomes, which is what moves the forecast.

Microsoft tools that measure this agent

Marketing and content operations

How does your agent shorten time-to-campaign while keeping brand and compliance standards consistent so marketing teams can focus on strategy and creative direction?

Primary KPIs to track

  • Content throughput, measured as assets per week.
  • Time to first draft.
  • On-brand compliance rate.
  • Campaign cycle time from brief to launch.

Baseline to capture before go-live

  • Hours per asset by type.
  • Campaign lead time from brief to launch.
  • Rework rate on first drafts.
  • Fully loaded cost per marketer hour.

Value drivers

Efficiency and Strategic, through brand consistency at scale.

Tip

Learn more about the value drivers in Measure the impact of your agents.

Worked example

Your marketing content agent handles 500 content requests per month. Of those requests, 90 percent cite at least one knowledge reference (brand guides, previous campaigns) at two references each. 30 resolve without references, and 20 escalate.

Input Sample value Source
Monthly engaged sessions 500 Copilot Studio Analytics
Sessions citing knowledge 450 Copilot Studio Analytics
Average references per citing session 2 Copilot Studio Analytics
Resolved sessions without references 30 Copilot Studio Analytics
Escalated or abandoned sessions without references 20 Copilot Studio Analytics
Time savings multiplier 6 minutes Microsoft WorkLab research
Hourly rate $72 U.S. Bureau of Labor Statistics

Step by step calculation:

  1. Knowledge references: 450 × 2 = 900.
  2. Weighted sessions without references: (30 × 1.0) + (20 × 0.7) = 44.
  3. Total: 900 + 44 = 944.
  4. Agent Assisted Hours: 944 × 6 ÷ 60 = 94.4 hours per month.
  5. Agent Assisted Value: 94.4 × $72 = $6,797 per month, or about $81,500 per year.

Your marketing agent returns about 94 hours a month. Marketers reinvest that time in campaign strategy, audience segmentation, and creative direction, where human judgment adds the most value.

Microsoft tools that measure this agent

How does your agent handle first-pass contract drafting and clause review so attorneys can focus on negotiation strategy and complex matters?

Primary KPIs to track

  • Contract cycle time from request to signature.
  • First-draft turnaround time.
  • Redline volume per contract.
  • Matter throughput per attorney.
  • Outside counsel spend per matter type.

Baseline to capture before go-live

  • Average contract cycle time broken out by contract type.
  • Attorney hours per matter.
  • Baseline outside counsel spend.

Value drivers

Efficiency, Quality, and Revenue, through faster deal closure.

Tip

Learn more about the value drivers in Measure the impact of your agents.

Worked example

Your legal drafting agent handles 1,000 contract requests per month. Of those requests, 95 percent cite at least one knowledge reference (clause library, prior contracts, policy) at four references each. 30 resolve without references, and 20 escalate.

Input Sample value Source
Monthly engaged sessions 1,000 Copilot Studio Analytics
Sessions citing knowledge 950 Copilot Studio Analytics
Average references per citing session 4 Copilot Studio Analytics
Resolved sessions without references 30 Copilot Studio Analytics
Escalated or abandoned sessions without references 20 Copilot Studio Analytics
Time savings multiplier 6 minutes Microsoft WorkLab research
Hourly rate $72 U.S. Bureau of Labor Statistics

Step by step calculation:

  1. Knowledge references: 950 × 4 = 3,800.
  2. Weighted sessions without references: (30 × 1.0) + (20 × 0.7) = 44.
  3. Total: 3,800 + 44 = 3,844.
  4. Agent Assisted Hours: 3,844 × 6 ÷ 60 = 384.4 hours per month.
  5. Agent Assisted Value: 384.4 × $72 = $27,677 per month, or about $332,000 per year.

Your legal agent returns 384 hours per month across the matters it supports, and your attorneys reinvest that capacity in negotiation strategy, high-stakes disputes, and the client work that requires human judgment.

Microsoft tools that measure this agent

Executive and executive-assistant productivity

How does your agent give senior leaders and their assistants time back so executives can stay focused on decisions and strategy, while assistants coordinate the work around them?

Primary KPIs to track

  • Email triage time.
  • Meeting preparation minutes.
  • Executive response latency.
  • Decks and briefings produced per week.

Baseline to capture before go-live

  • Executive and assistant hours on routine work.
  • Baseline email backlog and response latency.
  • Deck-prep hours per executive per week.

Value drivers

Efficiency and Strategic, through decision velocity.

Tip

Learn more about the value drivers in Measure the impact of your agents.

Worked example

Your executive productivity agent serves 200 leaders. Average usage is one engaged session per leader per day. Of those sessions, 80 percent cite knowledge references (briefing materials, prior communications) at two references each. 600 sessions resolve without references, and 400 escalate.

Input Sample value Source
Monthly engaged sessions 5,000 Copilot Studio Analytics
Sessions citing knowledge 4,000 Copilot Studio Analytics
Average references per citing session 2 Copilot Studio Analytics
Resolved sessions without references 600 Copilot Studio Analytics
Escalated or abandoned sessions without references 400 Copilot Studio Analytics
Time savings multiplier 6 minutes Microsoft WorkLab research
Hourly rate $72 U.S. Bureau of Labor Statistics

Step by step calculation:

  1. Knowledge references: 4,000 × 2 = 8,000.
  2. Weighted sessions without references: (600 × 1.0) + (400 × 0.7) = 880.
  3. Total: 8,000 + 880 = 8,880.
  4. Agent Assisted Hours: 8,880 × 6 ÷ 60 = 888 hours per month.
  5. Agent Assisted Value: 888 × $72 = $63,936 per month, or about $767,000 per year.

Your executive agent returns about 888 hours of leadership capacity each month, distributed across executives and assistants. That time goes back into strategy, customer relationships, and the human work of leading a team.

Microsoft tools that measure this agent

Project management and portfolio delivery

How does your agent keep projects on track without overloading project managers with status updates so they can focus on risks, dependencies, and stakeholder alignment?

Primary KPIs to track

  • Status-report cycle time.
  • Stakeholder response latency.
  • RAID (risks, assumptions, issues, and dependencies) log accuracy.
  • Projects per project manager.
  • On-time delivery rate.

Baseline to capture before go-live

  • Project manager hours per week on reporting.
  • Schedule variance and escalation count.
  • Baseline stakeholder response time.

Value drivers

Efficiency and Quality.

Tip

Learn more about the value drivers in Measure the impact of your agents.

Worked example

Your project status agent supports 100 project managers and their stakeholders. It has 1,500 engaged sessions per month. Of those sessions, 85 percent cite two references (status templates, risk registers, project plans) at two references each. 150 sessions resolve without references, and 75 escalate.

Input Sample value Source
Monthly engaged sessions 1,500 Copilot Studio Analytics
Sessions citing knowledge 1,275 Copilot Studio Analytics
Average references per citing session 2 Copilot Studio Analytics
Resolved sessions without references 150 Copilot Studio Analytics
Escalated or abandoned sessions without references 75 Copilot Studio Analytics
Time savings multiplier 6 minutes Microsoft WorkLab research
Hourly rate $72 U.S. Bureau of Labor Statistics

Step by step calculation:

  1. Knowledge references: 1,275 × 2 = 2,550.
  2. Weighted sessions without references: (150 × 1.0) + (75 × 0.7) = 202.5.
  3. Total: 2,550 + 202.5 = 2,752.5.
  4. Agent Assisted Hours: 2,752.5 × 6 ÷ 60 = 275 hours per month.
  5. Agent Assisted Value: 275 × $72 = $19,800 per month, or about $238,000 per year.

Your project agent gives the project management office about 275 hours back each month. Project managers use that time for dependency mapping, risk conversations, and stakeholder trust building that helps keep projects on time.

Microsoft tools that measure this agent

Field service operations

How does your agent help technicians on site get the right information at the right time so they can resolve more issues on the first visit and customers wait less?

Primary KPIs to track

  • First-time fix rate.
  • Mean time on site.
  • Report submission compliance.
  • Escalation-to-back-office rate.

Baseline to capture before go-live

  • Reports submitted per technician per week.
  • Average on-site time by issue type.
  • First-time-fix rate baseline.

Value drivers

Efficiency and Quality.

Tip

Learn more about the value drivers in Measure the impact of your agents.

Worked example

Your field service agent handles 5,000 technician interactions per month. Of those interactions, 90 percent cite at least one knowledge reference (service manuals, parts guides) at three references each. 300 resolve without references, and 200 escalate.

Input Sample value Source
Monthly engaged sessions 5,000 Copilot Studio Analytics
Sessions citing knowledge 4,500 Copilot Studio Analytics
Average references per citing session 3 Copilot Studio Analytics
Resolved sessions without references 300 Copilot Studio Analytics
Escalated or abandoned sessions without references 200 Copilot Studio Analytics
Time savings multiplier 6 minutes Microsoft WorkLab research
Hourly rate $72 U.S. Bureau of Labor Statistics

Step by step calculation:

  1. Knowledge references: 4,500 × 3 = 13,500.
  2. Weighted sessions without references: (300 × 1.0) + (200 × 0.7) = 440.
  3. Total: 13,500 + 440 = 13,940.
  4. Agent Assisted Hours: 13,940 × 6 ÷ 60 = 1,394 hours per month.
  5. Agent Assisted Value: 1,394 × $72 = $100,368 per month, or about $1.20M per year.

Your technicians collectively get back roughly 1,394 hours a month. Those hours translate into more completed visits, fewer return trips, and a better customer experience.

Microsoft tools that measure this agent

Public relations and corporate communications

How does your agent reduce response time for media inquiries and internal communications so communicators can focus on narrative, relationships, and the judgment calls a crisis requires?

Primary KPIs to track

  • Time to first draft.
  • Time to approval.
  • Media-sentiment trend.
  • Crisis-cycle response time.

Baseline to capture before go-live

  • Hours per release or statement.
  • Media-sentiment baseline.
  • Crisis-response clock.

Value drivers

Efficiency and Strategic, through brand and reputation.

Tip

Learn more about the value drivers in Measure the impact of your agents.

Worked example

Your communications agent handles 100 requests per month, including press releases, talking points, and leadership communications. Of those requests, 95 percent cite knowledge references (brand guidelines, recent statements, spokesperson libraries) at three references each. Three requests resolve without references, and two escalate.

Input Sample value Source
Monthly engaged sessions 100 Copilot Studio Analytics
Sessions citing knowledge 95 Copilot Studio Analytics
Average references per citing session 3 Copilot Studio Analytics
Resolved sessions without references 3 Copilot Studio Analytics
Escalated or abandoned sessions without references 2 Copilot Studio Analytics
Time savings multiplier 6 minutes Microsoft WorkLab research
Hourly rate $72 U.S. Bureau of Labor Statistics

Step by step calculation:

  1. Knowledge references: 95 × 3 = 285.
  2. Weighted sessions without references: (3 × 1.0) + (2 × 0.7) = 4.4.
  3. Total: 285 + 4.4 = 289.4.
  4. Agent Assisted Hours: 289.4 × 6 ÷ 60 = 29 hours per month.
  5. Agent Assisted Value: 29 × $72 = $2,088 per month, or about $25,000 per year.

Your communications agent saves about 29 hours a month. That number doesn't seem large, but those hours often come at critical times. Faster first drafts translate into stronger reputation outcomes, and the qualitative value of brand discipline under pressure often matters more than the total time saved.

Microsoft tools that measure this agent

Product management

How does your agent help product managers synthesize customer signals and update roadmap artifacts faster so product managers spend more time on strategy and less on documentation?

Primary KPIs to track

  • Product requirement documents (PRDs) cycle time.
  • Customer-call synthesis rate.
  • Roadmap update cadence.
  • Feature discovery-to-launch time.

Baseline to capture before go-live

  • Product manager hours per PRD.
  • Customer calls logged versus synthesized.
  • Roadmap-update frequency.

Value drivers

Efficiency and Strategic, through time to insight.

Tip

Learn more about the value drivers in Measure the impact of your agents.

Worked example

Your product management assistant supports 50 product managers and handles 800 engaged sessions each month, including customer call summaries, product requirement document (PRD) drafts, and competitive snapshots. Of those sessions, 90 percent cite knowledge references (interview transcripts, prior PRDs, competitive research) at three references each. 50 resolve without references, and 30 escalate.

Input Sample value Source
Monthly engaged sessions 800 Copilot Studio Analytics
Sessions citing knowledge 720 Copilot Studio Analytics
Average references per citing session 3 Copilot Studio Analytics
Resolved sessions without references 50 Copilot Studio Analytics
Escalated or abandoned sessions without references 30 Copilot Studio Analytics
Time savings multiplier 6 minutes Microsoft WorkLab research
Hourly rate $72 U.S. Bureau of Labor Statistics

Step by step calculation:

  1. Knowledge references: 720 × 3 = 2,160.
  2. Weighted sessions without references: (50 × 1.0) + (30 × 0.7) = 71.
  3. Total: 2,160 + 71 = 2,231.
  4. Agent Assisted Hours: 2,231 × 6 ÷ 60 = 223 hours per month.
  5. Agent Assisted Value: 223 × $72 = $16,056 per month, or about $193,000 per year.

Your product managers get back about 223 hours per month, to spend on product strategy, design discussions, and the customer conversations that shape the roadmap.

Microsoft tools that measure this agent

Cybersecurity and security operations center (SOC) operations

How does your agent accelerate triage and incident documentation so your analysts can focus on investigation, response, and the human judgment calls that keep the organization safe?

Primary KPIs to track

  • Mean time to detect (MTTD).
  • Mean time to respond (MTTR).
  • Incident-report turnaround.
  • Analyst hours per incident.
  • Audit-cycle time.

Baseline to capture before go-live

  • Baseline MTTD and MTTR broken out by incident type.
  • Incidents per analyst per week.
  • Audit-cycle time.

Value drivers

Efficiency, Quality, and Strategic, through organizational resilience.

Tip

Learn more about the value drivers in Measure the impact of your agents.

Worked example

Your autonomous security triage agent processes 2,000 incident events each month. Each run makes four knowledge references (threat intel, prior incidents, runbooks), at five minutes saved each, and executes three actions per run (enrichment, containment suggestion, notification) at four minutes each. 1,500 events resolve without extra analyst action at a rate of three minutes each.

Input Sample value Source
Monthly events processed 2,000 Copilot Studio autonomous-agent analytics
Knowledge references per event 4 Copilot Studio Analytics
Actions per event 3 Copilot Studio Analytics
Retrieval savings per reference 5 minutes Copilot Studio agents report
Action savings per action 4 minutes Copilot Studio agents report
Successful events without extra analyst action 1,500 Copilot Studio Analytics
Generic savings per successful event 3 minutes Copilot Studio agents report
Hourly rate $72 U.S. Bureau of Labor Statistics

Step by step calculation:

  1. Retrieval time saved: 2,000 × 4 × 5 = 40,000 minutes.
  2. Action time saved: 2,000 × 3 × 4 = 24,000 minutes.
  3. Generic savings on successful events: 1,500 × 3 = 4,500 minutes.
  4. Total: 40,000 + 24,000 + 4,500 = 68,500 minutes.
  5. Agent Assisted Hours: 68,500 ÷ 60 = 1,142 hours per month.
  6. Agent Assisted Value: 1,142 × $72 = $82,200 per month, or about $986,000 per year.

Your SOC agent returns about 1,142 hours per month. Your analysts can now focus on strategic tasks like investigation, tuning, and threat hunting, where human judgment matters most.

Microsoft tools that measure this agent

Supply chain and warehouse operations

How does your agent coordinate shift handovers, exception routing, and supplier communications so your supervisors can focus on flow, safety, and people?

Primary KPIs to track

  • Shift handover latency.
  • Incident report turnaround.
  • Inventory accuracy rate.
  • Pick-rate variance.

Baseline to capture before go-live

  • Supervisor hours on paperwork per shift.
  • Incidents reported per week.
  • Inventory accuracy baseline.

Value drivers

Efficiency, Quality, and Strategic.

Tip

Learn more about the value drivers in Measure the impact of your agents.

Worked example

Your autonomous supply chain agent coordinates 200 shifts a month across multiple sites. Each run makes three knowledge references (SOPs, inventory data) at four minutes saved each, and executes six actions per run (notifications, routings, confirmations) at three minutes each. 180 shifts resolve without extra supervisor action at a rate of five minutes each.

Input Sample value Source
Monthly shifts coordinated 200 Copilot Studio autonomous-agent analytics
Knowledge references per shift 3 Copilot Studio Analytics
Actions per shift 6 Copilot Studio Analytics
Retrieval savings per reference 4 minutes Copilot Studio agents report
Action savings per action 3 minutes Copilot Studio agents report
Successful shifts without extra action 180 Copilot Studio Analytics
Generic savings per successful shift 5 minutes Copilot Studio agents report
Hourly rate $72 U.S. Bureau of Labor Statistics

Step by step calculation:

  1. Retrieval time saved: 200 × 3 × 4 = 2,400 minutes.
  2. Action time saved: 200 × 6 × 3 = 3,600 minutes.
  3. Generic savings on successful shifts: 180 × 5 = 900 minutes.
  4. Total: 2,400 + 3,600 + 900 = 6,900 minutes.
  5. Agent Assisted Hours: 6,900 ÷ 60 = 115 hours per month.
  6. Agent Assisted Value: 115 × $72 = $8,280 per month, or about $99,400 per year.

Your supply-chain agent returns about 115 hours a month to supervisors, and they redirect that time toward floor safety, training, and the operational decisions where on-the-ground judgment matters.

Microsoft tools that measure this agent

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