C

Contoso Industrial — Agent Scenario Portfolio

Use Case Assessment Dashboard · Cross-functional agent portfolio

Working assessment · Generated · AI Use Case Assessment (informal framework)

Portfolio prioritization report

Bubble chart first for portfolio triage, followed by use-case tiles that open detailed assessment pages. Scope reflects four candidate agents spanning Finance, Manufacturing Quality, Manufacturing Process, and Customer Experience.

Impact vs Complexity Matrix

X = Complexity | Y = Impact | Size = Reach | Color = Agentic Fit

How to read this report

use cases in this report
  • Impact1–5Higher is more business impact (Y-axis)
  • Complexity1–5Higher is harder to build and run (X-axis)
  • Reach1–100How many people or transactions benefit (bubble size)
  • Agentic Fit1–5How well an agent form fits vs a simpler tool (bubble colour)

Reading the chart

The shaded sweet-spot zone is high-impact, lower-to-mid-complexity. Bubble size reflects Reach; bubble colour reflects Agentic Fit on the scale below.

Fit 1 — low / deterministic (a simple tool would do)
Fit 2 — mostly deterministic with light reasoning
Fit 3 — hybrid (reasoning + retrieval)
Fit 4 — multi-step orchestration with action-taking
Fit 5 — fully agentic autonomous workflow

Use cases

Select a tile to open the detailed report page with score cards, factor bars, narrative sections, and additional context.

Intake quality and routing

Pass = ready as-is. Conditional = usable but must be closed before delivery kick-off. Fail = blocker that prevents delivery from starting.

Overall: Conditional Pass

5 of 8 intake dimensions pass cleanly. 3 conditional gaps must close before delivery kick-off: quantified KPI baselines across all four agents, integration footprint (multi-system access to the ERP, MES, industrial test platform, and central product catalog), and data/PII classification for customer-facing and manufacturing data. No hard fails - sponsorship is named, all four agents are scoped with explicit human-in-the-loop boundaries.

DimensionQualityDecisionEvidenceFollow-up needed
Problem statement3 / 3PassAll four agents have crisp problem statements: manual invoice handling, slow expert-bottlenecked investigation, manual work-instruction creation during NPI, and fragmented successor lookup.None.
Business outcome and metrics2 / 3ConditionalInvoice agent has a directional 60-80% processing-time reduction. Quality Investigation, Work Instruction, and Product Successor benefits are qualitative (faster, more consistent, better customer experience).Quantify baseline KPIs per agent (current cycle time, error rate, expert-hours, support deflection) and target uplifts.
Audience and reach2 / 3PassPersonas are explicit per agent: finance analysts and AP teams; quality assurance engineers and factory experts; process and industrial engineers; external external business customers plus internal KAMs and field quality.Confirm pilot user count, target plants/markets, and rollout cadence per agent.
Integration footprint1 / 3ConditionalHeavy and varied: the ERP system, the manufacturing execution system (MES), the industrial test platform, the customer-service system, the central product catalog product e-catalog, plus the corporate document store and the corporate email system. Product Successor is still on Excel today.Confirm read/write boundaries, data-access approvals, and migration plan from Excel to governed database for Product Successor before delivery kick-off.
Data, PII and compliance2 / 3ConditionalManufacturing and quality data, vendor master data, support request/customer complaint history, and an-customer-facing chatbot. No personal PII for the manufacturing agents but commercial sensitivity is real.Confirm data classification, DLP policies, customer-vs-internal segmentation for the chatbot, and SSO model on the customer self-service portal.
Risk profile and HITL3 / 3PassInvoice agent flags discrepancies for human approval; the Quality Investigation agent proposes hypotheses with mandatory expert validation; Work Instruction generates editable templates; Product Successor is read-only / advisory.None.
Agentic fit signal3 / 3PassClean spread: Invoice and Quality Investigation reason across multi-source data with HITL; Work Instruction is event-triggered content generation; Product Successor is declarative knowledge search and already has a working Copilot Studio prototype.Validate against latest Copilot Studio / Foundry capabilities, especially for Product Successor orchestration into the sales orchestration agent.
Sponsorship and readiness3 / 3PassSponsors named across the portfolio: CFO / Head of Finance, Head of Quality / Manufacturing Quality Leadership, Manufacturing & Process Engineering Leadership, Tools & Services Leadership. Working contacts include Quality Engineering Lead (quality investigation), Process Engineering Lead (Work Instruction), Customer Experience Leads.Confirm delivery timeline sign-off and Business / Technical / Governance contacts per agent.

Impact vs Complexity Matrix

Description

Problem Addressed

Proposed Solution

Expected Benefits

Potential Risks & Barriers

Additional Context