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Copy file name to clipboardExpand all lines: learn-pr/wwl/evaluate-costs-benefits-ai-powered-business-solution/includes/3-create-roi-analysis-proposed-ai-solution-business-process.md
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@@ -6,7 +6,7 @@ Creating a rigorous ROI analysis is essential for evaluating whether an AI solut
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- Productivity and efficiency metrics
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-Costsavings calculations
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-Cost savings calculations
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- Total cost of ownership (TCO)
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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 agent-level savings model (perrun and pertool) and translate savings into financial benefits that align to enterprise KPIs.
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-**Quantify time and cost savings** using an agent-level savings model (per-run and per-tool) 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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Support each lever with _observations you can measure_ (e.g., the step the agent automates, the decision it accelerates, or the draft it prepares).
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### 3. Quantify savings with the Savings Calculator (perrun and pertool)
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### 3. Quantify savings with the Savings Calculator (per-run and per-tool)
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Use the agent **Savings** capability to estimate and then track time or money saved. You can configure:
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-_Fully loaded labor rate_ (currency/hour) for the role(s) impacted.
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-_(Optional)_ Tool specific time/cost deltas when using the pertool model.
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-_(Optional)_ Tool specific time/cost deltas when using the per-tool model.
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**Savings model (example)**
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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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**Evidence to calibrate your ranges.** Early field studies on Copilot style 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.
**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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**Why add ranges?** Stakeholders can see upside and risk. Use the research anchored 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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