AI Strategy & Roadmap — One-Page Overview

What this one‑page does

This page helps a leadership team turn a high-level strategic goal into a small, prioritized set of AI initiatives that are clearly scoped, measurable, and ready for a funded pilot. Use it to align decision‑makers, reduce wasted exploratory work, and sequence early delivery so learning can scale.

When to use it

Run this as a 60–90 minute workshop when you have a business priority that could benefit from AI (customer service, demand forecasting, process automation, clinical decision support, R&D acceleration, etc.) and you need a fast, executable plan that connects value, feasibility, and governance.

One‑page sections (with practical prompts)

1. Outcome statement — what success looks like

   Write a clear, measurable outcome framed for the business owner. Template: “By [date], reduce from X to Y for so we achieve .” Keep it specific and time‑bound.

2. Top 3 use cases (prioritized)

   For each use case capture: name, brief description, estimated impact (quantified where possible), feasibility summary (data, people, integration), and a simple score. Example row: Use case: Automated Triage of Support Tickets — Impact: 30% faster response = $X/yr — Feasibility: medium (historical tickets + labels) — Score: 8/10.

3. Required capabilities

   List the minimum capabilities to run a pilot: data sources (where, who owns it), people/roles (SME, data engineer, product owner), infra (cloud, model hosting, integrations), and any tools or vendor needs.

4. Pilot plan & success criteria

   For the top candidate, define: scope (what will/can’t be done), timeline (90 days recommended), owner, milestone checkpoints, and 2–3 success metrics (primary KPI, quality metric, business metric). State acceptance criteria explicitly (e.g., precision >= 85% and X% uplift in throughput).

5. Risks and governance checkpoints

   Identify top risks (data privacy, model bias, integration blockers, regulatory concerns) and list scheduled governance checkpoints (design review, security review, go/no-go for pilot scale, post‑pilot evaluation). Assign owners for mitigation actions.

Scoring method (quick, pragmatic)

Use a simple Impact × Feasibility score to prioritize. Score each on 1–5 (1 low, 5 high), then multiply.

• Impact: estimated annual value, customer experience, risk reduction, or strategic importance.
• Feasibility: data readiness, implementation complexity, regulatory friction, and availability of skills.

Example: Impact 4 × Feasibility 3 = 12. Rank use cases by that product; focus pilots on the top 1–2 with a clear learning plan for the rest.

Facilitator's 60–90 minute workshop agenda

1. Opening (5–10 min): state the strategic goal, constraints, and desired horizon (90–180 days).
2. Use case sketch (20–30 min): capture 4–6 candidate use cases, one‑sentence descriptions, quick impact and feasibility estimates.
3. Prioritize (10–15 min): score and pick top 1–2 candidates for pilots.
4. Pilot plan (15–25 min): define scope, owner, timeline, metrics, and required capabilities.
5. Risks & governance (10 min): capture top risks and checkpoints; agree immediate next steps and who will write the funding/backlog request.

Roles—who should attend

• Decision owner (exec or senior leader) — commits resources and criteria.
• Product / process owner — defines desired outcome and constraints.
• Data lead — knows data availability and quality.
• Technical lead or vendor rep — provides feasibility estimates.
• Facilitator — keeps time, captures decisions.

Prework (5–30 minutes) — quick inputs that speed the workshop

• One‑line business outcome and target metric.
• A list of current systems and data owners relevant to the use cases.
• Any recent estimates of expected annual value or cost of current process problems.

Common pitfalls and how this page helps avoid them

• Running exploratory pilots without measurable outcomes — mitigated by a clear outcome statement and acceptance criteria.
• Underestimating integration effort — mitigated by capturing required capabilities and owners up front.
• Pilots that don’t produce learning — mitigated by timeboxed pilots, explicit checkpoints, and defined success metrics.

Immediate next steps after the workshop

1. Create a short funding/backlog request including the one‑page as an appendix.
2. Schedule the first governance checkpoint (design/security review) in the pilot timeline.
3. Assign a two‑week discovery sprint to validate data access and baseline metrics.

Tips & examples

Be conservative with impact estimates—use a range. When feasibility is uncertain, prefer a discovery pilot that resolves unknowns quickly (2–4 weeks) before a larger build. Capture what you will learn explicitly: a pilot’s primary value is validated assumptions.

Template and reuse

Copy this page into your team’s domain or toolkit and adapt the scoring, success criteria, and governance checkpoints to your organization’s risk profile and compliance needs.