Guides & Resources
AI Implementation Roadmap
Stop planning endlessly and start executing. This 90-day roadmap takes you from “we should do something with AI” to measurable business results, with specific milestones at every stage.
Phase 1: Assessment (Days 1-30)
Week 1-2: Process Audit. Interview 10-15 employees across departments. Ask three questions: What tasks take the most time? What decisions rely on gut feeling rather than data? Where do errors or bottlenecks occur most often? Document every answer. You will identify 20-30 potential AI use cases.
Week 3: Prioritization. Score each use case on three criteria (1-5 scale): business impact (revenue or cost savings potential), data readiness (do you have the data needed?), and implementation complexity (how hard is this technically?). Multiply impact by data readiness, then divide by complexity. Your top 3-5 scores are your pilot candidates.
Week 4: Foundation. Draft a one-page AI policy (approved tools, data handling rules, governance structure). Set up measurement baselines for your chosen pilot use cases. Select 2-3 pilot projects and identify an owner for each. Milestone: Signed-off pilot plan with defined KPIs and baselines.
Phase 2: Pilot (Days 31-60)
Week 5-6: Build and Deploy. For each pilot, select tools (build vs. buy decision), configure integrations, and deploy to a small group of users (5-15 people). Keep scope deliberately narrow: one workflow, one team, one metric. Document everything: setup steps, configuration decisions, and initial user feedback.
Week 7-8: Iterate and Measure. Collect weekly data on your KPIs. Hold brief check-ins with pilot users every 3-4 days. Expect to make 5-10 adjustments during this period (prompt refinements, workflow tweaks, integration fixes). The goal is not perfection but proof of value. Milestone: Quantified results showing AI impact vs. baseline for each pilot.
Key KPIs to track: Time saved per task (hours/week). Error reduction rate (% decrease). User satisfaction (1-5 rating from pilot participants). Cost savings (tools cost vs. labor cost saved). Output quality (rated by stakeholders on a rubric).
Phase 3: Scale (Days 61-90)
Week 9-10: Evaluate and Decide. Compile pilot results into a one-page executive summary per project. For each pilot: if ROI exceeds 2x, approve for expansion. If ROI is 1-2x, extend the pilot for 30 more days with specific optimization targets. If ROI is below 1x, document learnings and sunset the project. No guilt about killing unsuccessful pilots.
Week 11-12: Expand and Plan. For approved projects, expand to additional teams or departments. Create training materials and self-service documentation. Identify the next wave of 5-10 AI use cases using insights from Phase 1. Present results and next-phase plan to leadership. Milestone: At least one AI system in production use with a published playbook for replication.
Common Failure Points and How to Avoid Them
1. Analysis paralysis in Phase 1. Set a hard deadline for the assessment and force a prioritization decision even if data is imperfect. 2. Scope creep in Phase 2. Resist adding features or use cases to active pilots. 3. Declaring victory too early in Phase 3. One successful pilot is not organizational transformation; it is proof that transformation is possible. Build the infrastructure for sustained adoption.
Frequently Asked Questions
Can this roadmap work for a small team (under 20 people)?
Yes. Compress Phase 1 to 2 weeks (fewer people to interview), run 1 pilot instead of 2-3, and combine Phases 2 and 3. A small team can go from assessment to production AI in 45-60 days.
What if leadership is not bought in yet?
Run a stealth pilot. Find one process you own, apply AI to it, measure results, and present the data. Nothing convinces leadership like proven ROI from their own organization. Then use this roadmap for the formal rollout.
How much budget should I allocate for the 90-day roadmap?
For SMBs: $2,000-5,000 (mostly SaaS tool subscriptions and a small amount for training). For enterprises: $20,000-50,000 (tools, dedicated project manager time, and external advisory if needed). The first pilot should be designed to pay for itself within the 90 days.