See sample roadmaps across manufacturing, finance, and support contexts.
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Resources for turning ranked AI opportunities into practical pilot plans
Use these guides, examples, and templates to assess AI opportunities with evidence rather than generic idea lists—and see how the strongest ones become adoption plans, safe simulations, supervised pilots, and engineering handoffs.
What this establishes
The decision in view.
Learn how to separate quick wins from strategic bets and evidence gaps.
Explore 101 opportunity patterns across operations, finance, customer work, software, analytics, governance, and more. Ideas appear only when the company evidence supports them.
See how a ranked opportunity becomes an adoption plan, safe simulation, agent design, supervised pilot, and downloadable starter code.
Export a self-contained evidence map with its sources so reviewers can open it without the app.
Compare evidence-backed prioritization against idea generators, spreadsheets, and generic agent builders.
Start here
Sample roadmap outputs
Concrete examples showing what the product produces and how the work is ordered.
Start here
Sample pre-assessment
Company-specific evidence, optional pressure context, and a seeded discovery backlog.
Start here AI diligence memoExample investment memo, 100-day plan, and portfolio comparison.
Start here Manufacturing roadmapEstimator workflow, order of work, and missing evidence.
Start here Finance roadmapClose and reconciliation opportunities with guardrails.
Start here Support roadmapSupport operations prioritization by pain and data access.
Go further
Adoption, simulation, and agent readiness
How the strongest opportunities become adoption plans, safe simulations, agent designs, supervised pilots, and production handoff packages.
Go further
AI adoption planning
Order the foundations, owners, controls, readiness questions, and rollout route.
Go further Agent simulation sandboxTest agent behavior on historical or clearly labeled synthetic cases before live work.
Go further Supervised reconciliation pilotA focused cloud pilot for finance and controllership.
Go further Agent deployment readinessThe checks from agent design to production handoff.
Go further Agent starter-code generatorService design, test suite, and downloadable starter code.
Go further Production agent handoffIntegrations, ownership, monitoring, and final approval.
Evaluate trust
Methodology and buyer confidence
Explain how recommendations are produced, reviewed, and defended with stakeholders.
Evaluate trust
AI consulting framework
The Foundry Method: a repeatable process from evidence to a funded decision.
Evaluate trust Automated opportunity discoveryHow Foundry gathers evidence automatically while people control what becomes truth.
Evaluate trust Demand intelligenceHow public pressure becomes a sourced, reviewable discovery agenda.
Evaluate trust MethodHow evidence, scoring, and order of work fit together.
Evaluate trust Trust and evidence boundaryHow private evidence and human review are handled.
Evaluate trust How you buyNamed offers, starting prices, and what the first engagement includes.
Evaluate trust FAQAnswers for common implementation and buyer concerns.
Positioning
Comparison pages
High-intent pages for buyers comparing ways to prioritize AI opportunities.
Positioning
vs AI idea generators
Why evidence-backed ranking beats generic lists.
Positioning vs AI readiness assessmentsEvidence maps and ranked opportunities versus self-reported maturity scores.
Positioning vs prioritization spreadsheetsWhere manual methods break at scale.
Positioning vs consulting templatesTemplate reuse vs structured assessment workflows.
Positioning Before Azure AI FoundryChoose what deserves a build before moving into implementation tooling.
Positioning vs generic agent buildersWhy evidence gates beat wiring a prompt to tools.
Teach the method
Practical use-case guides
Educational articles that help visitors recognize better AI roadmap decisions.
Teach the method
AI use case identification
How reviewed evidence identifies and prioritizes company-specific opportunities.
Teach the method AI discovery workshopStart discovery automatically, then use workshop time only on the gaps that matter.
Teach the method Pain Discovery StudioUse guided interviews when operators cannot give a clear list of problems.
Teach the method From public signal to funded agentTrace one Meridian Fab signal through validation, ranking, and an engineering package.
Teach the method Why AI use-case lists failThe root causes behind weak prioritization outcomes.
Teach the method Why AI pilots failWhy promising demos stall, and how evidence gates improve the path to production.
Teach the method Quick wins vs larger betsHow to order the work instead of mixing near- and long-term goals.
Teach the method AI opportunities competitors cannot easily copyEvidence that makes an AI investment worth defending.
Practical assets
Templates
Reusable worksheets and guides for use before or during a product evaluation.
Practical assets
AI scoring worksheet
A structured worksheet for value, practicality, company advantage, and risk.
Practical assets Discovery interview guidePrompts for gathering operational and data evidence.
Practical assets Roadmap review checklistA review checklist before socializing roadmap decisions.
Next steps
Keep following the evidence.
Use the complete library to move between discovery, prioritization, examples, readiness, comparisons, and trust.