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### Overview
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Creating a rigorous ROI analysis is essential for evaluating whether an AI solution will deliver measurable business value.
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Creating a rigorous ROI analysis is essential for evaluating whether an AI solution delivers measurable business value.
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### This unit equips solution architects to build a complete ROI analysis using:
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- **Define a defensible ROI scope** for an AI solution mapped to a single business process, with clear baselines and guardrails.
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- **Quantify time and cost savings** using an agentlevel savings model (perrun and pertool) and translate those savings into financial benefits that align to enterprise KPIs.
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- **Quantify time and cost savings** using an agent-level savings model (perrun and pertool) and translate savings into financial benefits that align to enterprise KPIs.
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- **Build a complete ROI model** that balances benefits against **total cost of ownership (TCO)** across infrastructure, development/integration, data quality, expertise, and ongoing operations.
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- **Add evidence and ranges** using a simple sensitivity analysis informed by recent field research on knowledgeworker productivity with Copilotstyle tools.
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- **Add evidence and ranges** using a simple sensitivity analysis informed by recent field research on knowledge worker productivity with Copilot style tools.
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- **Package the analysis for executive review** with a oneslide summary and a clear pilottoscale recommendation.
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- **Package the analysis for executive review** with a one slide summary and a clear pilottoscale recommendation.
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### 1. Frame the ROI scope (what, where, who)
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- **Goal:** Keep the analysis crisp, measurable, and attributable to a single process.
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- **Name the process:** e.g., "Tier1 HR case triage," "Invoice exception handling," "Customer email response."
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- **Define boundaries:** inscope steps (A→B→C), handoffs, systems touched, and _what will not change_.
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- **Define boundaries:** inscope steps (A→B→C), handoffs, systems touched, and _what won't change_.
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- **Baseline period:** typical month or quarter representing steadystate operations.
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- **Savings per tool** (granular estimate when an agent uses multiple tools with different impacts).
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Admins can disable moneybased savings; if so, keep tracking _time_ and convert to currency in your ROI workbook. Add or edit the Savings panel on the agent's **Analytics** page to keep the model current.
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Admins can disable money based savings; if so, keep tracking _time_ and convert to currency in your ROI workbook. Add or edit the Savings panel on the agent's **Analytics** page to keep the model current.
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#### Inputs you'll need
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- _Fully loaded labor rate_ (currency/hour) for the role(s) impacted.
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- _(Optional)_ Toolspecific time/cost deltas when using the pertool model.
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- _(Optional)_ Tool specific time/cost deltas when using the pertool model.
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**Text chart — Savings model (example)**
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**Savings model (example)**
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| **Parameter** | **Value** |
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- Show more lines
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**Evidence to calibrate your ranges.** Early field studies on Copilotstyle tools show measurable time reductions in common knowledgework (e.g., faster document creation and reduced time spent reading email). Use these as _directional_ anchors when setting optimistic/expected/conservative ranges—always validated against your baseline.
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**Evidence to calibrate your ranges.** Early field studies on Copilotstyle tools show measurable time reductions in common knowledge work (e.g., faster document creation and reduced time spent reading email). Use these as _directional_ anchors when setting optimistic/expected/conservative ranges—always validated against your baseline.
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### 5. Model TCO (the five cost drivers)
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Build a transparent TCO view so your ROI is durable beyond the pilot:
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- **Infrastructure** compute (CPU/GPU) for inference, storage, network/egress, resiliency/HA.
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- **Infrastructure**: compute (CPU/GPU) for inference, storage, network/egress, resiliency/HA.
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- **Development and integration** agent design, orchestration, connectors/APIs, auth, compliance, testing.
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- **Development and integration**: agent design, orchestration, connectors/APIs, auth, compliance, testing.
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- **Data quality and preparation** cleansing/labeling, grounding/indexing, refresh schedules, drift monitoring.
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- **Data quality and preparation**: cleansing/labeling, grounding/indexing, refresh schedules, drift monitoring.
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- **Expertise and staffing** architects, AI/ML engineers, MLOps, SMEs, change management/training.
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- **Expertise and staffing**: architects, AI/ML engineers, MLOps, SMEs, change management/training.
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- **Operations and licensing** monitoring/telemetry, evaluation/retuning, incident response, consumption or subscription fees.
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- **Operations and licensing**: monitoring/telemetry, evaluation/retuning, incident response, consumption or subscription fees.
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- **Text visual TCO matrix**
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- **Text visual: TCO matrix**
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Infrastructure | Compute, storage, network, HA
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- Labor rates or mix of roles impacted.
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- Quality/rework effects (use errorrate deltas).
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- Quality/rework effects (use error rate deltas).
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**Why add ranges?** Stakeholders can see upside and risk. Use the researchanchored directional effects on knowledgework time as justification for your bands while keeping your _own telemetry_ in the driver's seat.
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**Why add ranges?** Stakeholders can see upside and risk. Use the researchanchored directional effects on knowledge work time as justification for your bands while keeping your _own telemetry_ in the driver's seat.
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### 7. Package the executive oneslide
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### 7. Package the executive one slide
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Use a concise summary that decisionmakers can act on:
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Use a concise summary that decision makers can act on:
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- **Problem and scope** where the waste is today.
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- **Problem and scope**: where the waste is today.
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- **AI intervention** what the agent automates/augments.
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- **AI intervention**: what the agent automates/augments.
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- **Measured impact** minutes saved, resolved runs, quality lift (from Analytics).
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- **Measured impact**: minutes saved, resolved runs, quality lift (from Analytics).
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- **Financials** annual benefit, TCO, ROI %, payback.
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- **Financials**: annual benefit, TCO, ROI %, payback.
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- **Confidence and risks** sensitivity band and key assumptions.
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- **Confidence and risks**: sensitivity band and key assumptions.
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- **Decision** "Pilot for 8 weeks with success criteria X; scale to Y units on pass."
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- **Decision**: "Pilot for 8 weeks with success criteria X; scale to Y units on pass."
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#### Worked example (illustrative)
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- <https://arxiv.org/html/2504.11443v1>
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- [https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-cost-savings](/microsoft-copilot-studio/analytics-cost-savings)
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- [https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-cost-savings](/microsoft-copilot-studio/analytics-cost-savings)

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