Cut through the AI hype and ship what actually moves the business.
AI roadmaps for teams that need to make smart bets — not chase every new model release. We help you pick use cases that compound, sequence builds for fastest payback, and avoid the most expensive AI mistakes.
AI strategy work is short and high-leverage. Most teams have too many AI ideas + too little clarity on which ones matter. We help you pick the 2–3 highest-leverage use cases, sequence builds, and avoid the wrong-tool/wrong-cost decisions.
- ·AI opportunity assessment: top use cases ranked by impact × feasibility
- ·Use-case selection + ROI estimation per top 3
- ·Build vs buy vs partner decision per use case
- ·Model selection guidance (cost / latency / accuracy / data residency)
- ·Implementation roadmap with sequencing
- ·Risk register (data, regulatory, reputational)
- ◇Custom impact × feasibility scoring framework
- ◇Vendor + model landscape map
- ◇Cost modeling spreadsheet
- ◇Risk register template
Workshops with product + engineering + ops. Identify candidate use cases.
Score every candidate. Eliminate the low-value or infeasible.
For each top use case: architecture, cost model, build estimate, ROI.
Sequenced plan. Phase 1 = highest-leverage + lowest-risk to prove value.
- ◆DPDPA + GDPR vendor due diligence
- ◆Sector-specific AI guidance (RBI, MeitY, EU AI Act for regulated use cases)
AI Roadmap document — candidate use cases scored, top 3 selected with architecture sketch + cost model + ROI estimate, plus a 90-day sequenced build plan that delivers value at the end of each phase.
Is this just consulting fluff?+
No. We deliver a documented decision + roadmap + rationale. You can fire us after the engagement and execute internally if you prefer.
How long does this take?+
Typical: 4 weeks for a focused engagement. Faster if scope is narrow.
Do you do the implementation after?+
Optional. You can engage us for build via /ai/ai-development, or hand the roadmap to your team.