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Get a QuoteMost AI initiatives stall before they start. Not because the technology isn't ready, but because no one has mapped which problems AI should actually solve first. This workshop changes that in 10 business days.
You get a scored AI opportunity map, a prioritized 90-day roadmap, and an return on investment model your board can act on. Your team commits roughly 4 hours. We handle everything else.
Your team's time investment across a full discovery workshop is 3 to 4 hours over 10 days: one facilitation session, async brief review, and final roadmap sign-off. We conduct all interviews, audits, and documentation.
business days to your prioritized AI roadmap. Scoped. Scored. Ready to build.

Without a structured discovery phase, enterprise AI spend gets allocated to the wrong problems. The result isn't failure from poor technology. It's failure from solving the wrong thing.
Pain · Enterprise operations team before AI strategy

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You get a complete, board-ready AI strategy in 10 business days. Every phase has a fixed outcome and a defined deliverable your team can review and approve.
| Participant | Role | Focus Area |
|---|---|---|
| Priya S. | Chief Technology Officer | Technical strategy |
| Marcus R. | VP Operations | Process friction |
| Sarah T. | Head of Data and Analytics | Data readiness |
| David W. | Finance Director | Return on investment expectations |
| Leila M. | Transformation Lead | Roadmap ownership |
| Process | Type | Hours/WeekHrs/wk | AI PriorityPriority |
|---|---|---|---|
| Invoice processing | Manual | 38 | HIGH |
| Demand forecasting | Spreadsheet | 22 | HIGH |
| Quality control checks | Manual | 17 | MED |
| Customer onboarding | Email-based | 11 | MED |
| Regulatory reporting | Manual | 9 | MED |
| Use Case | Impact | Feasibility | Decision |
|---|---|---|---|
| Invoice AI | 9.2 | 8.7 | LAUNCH |
| Demand Forecast AI | 8.8 | 7.2 | LAUNCH |
| Document Intelligence | 7.5 | 9.1 | LAUNCH |
| Customer Service Bot | 8.1 | 6.4 | PILOT |
| Quality Vision AI | 6.9 | 5.8 | DEFER |
You leave the workshop with five complete outputs ready to present to your board, fund with a budget, and hand to a build team. No follow-on strategy engagement required.
Every AI use case your operation can support, mapped by business unit, data availability, and technical readiness. Not a list of ideas, but a structured view of where AI fits your actual workflows, with notes on what each use case requires to go live.
Five readiness dimensions scored and explained. Governance, data, team, infrastructure, and compliance. You'll know exactly what needs to be resolved before each sprint begins and which blockers are low-effort to clear.
Sprint-by-sprint plan with named use cases, team requirements, and estimated effort. Sprint 1 is scoped and ready to brief a build team the week after you receive it. No ambiguity about what comes first.
Financial model for the top three AI use cases: hours saved, error reduction, and revenue impact with conservative and optimistic ranges. Built for board presentations and budget approval. Cited to your actual data, not industry benchmarks.
See AI services pricing for workshop investment detailA board-ready executive summary that translates every technical output into business language. Risk summary, investment rationale, recommended Sprint 1 use case, and what approval unlocks. Designed to move a budget decision forward in one meeting.
Structured assessment is what turns an AI ambition into an enterprise program. See what that looks like at scale.
Proof · Enterprise transformation team reviewing strategy documents

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A multinational energy organization operating 19 global legal entities across multiple countries with complex multi-unit finance and operations.
19 business units ran on disconnected systems with no unified view across operations. Strategic decisions were made on incomplete data. AI readiness was impossible to assess without a structured discovery process first.
Every legal entity unified on a single platform after structured discovery identified the roadmap. Multi-level workflow automation deployed. Project-by-project budget control resolved.
Structured enterprise assessment mapped every business unit's data landscape, integration points, and process friction. The resulting roadmap enabled phased unification without disruption to live operations.
See more AI case studies from our delivery practiceOther implementation partners approach discovery with a brand pitch and a broad engagement proposal. Redefine delivers specific, scoped, and ready-to-fund outputs inside 10 days.
An AI discovery workshop is a structured 10-day assessment that maps every AI opportunity across your operation, scores each by business impact and technical feasibility, and delivers a prioritized build roadmap. It works best for enterprise organizations with 100 or more employees that have identified AI as a strategic priority but have not yet validated which specific problems to solve first. Chief technology officers, transformation leads, and operations directors typically sponsor the engagement.
Your team's total time commitment is 3 to 4 hours across the full 10 days. That breaks down into one facilitated discovery session on Day 1 or 2 lasting roughly 2 hours, async feedback rounds that take about 30 minutes, and a final roadmap review session on Day 10. We conduct all stakeholder interviews, process audits, use-case research, and documentation independently between your touchpoints.
You receive five complete outputs: an AI Opportunity Map covering every identified use case by business unit; a Risk and Readiness Scorecard across five dimensions; a prioritized 90-Day Roadmap with Sprint 1 scoped and ready; a Return on Investment Projection Model with conservative and optimistic financial ranges for the top three use cases; and a Stakeholder Alignment Brief formatted for board-level review. All five are delivered in formats you can share and act on immediately without any further engagement.
A standard consulting engagement produces recommendations. This workshop produces build-ready outputs scoped to your actual operation and data. The scope, timeline, and five deliverables are fixed before you pay a deposit. There is no upsell into a follow-on strategy phase. If your team wants to move into implementation after the workshop, you have a complete handoff document ready for any build partner, including ours. No consulting lock-in required.
After the Day 10 roadmap review, your team owns all five deliverables with no restrictions. If you choose to build with Redefine, Sprint 1 can begin within one week of sign-off on the build scope. We carry all discovery context forward with no re-briefing required. If you choose a different build partner, the Stakeholder Alignment Brief and AI Roadmap give that partner everything they need to start without a second discovery phase. You also have 30 days of async support to ask follow-up questions about any roadmap item at no additional cost.
Not sure? Tell us your situation and we'll be straight with you.
No commitment. No pitch. A call within 48 hours and a scoped workshop proposal in 3 business days.
Intake · Leadership reviewing discovery workshop outputs

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We clarify scope, stakeholders, and data access needs.
Fixed workshop fee, deliverables, and start date options.
Discovery begins after sign-off, roadmap in 10 business days.
10 business days. Five board-ready deliverables. A prioritized AI roadmap your team can fund and act on immediately. No commitment until you've reviewed the scoped proposal.
No commitment. No pitch.
Pre-footer · Enterprise leaders reviewing AI roadmap

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