An AI Roadmap Tied to Your Weakest Gaps, Not the Hype Cycle
AI strategy consulting grounded in maturity diagnostics: where you actually stand across data, platform, talent, governance, and use cases — and the 90-day moves that compound from there.
Why AI Strategy & Roadmap Programs Stall
Enterprise AI strategy usually fails before the first model: initiatives picked by executive enthusiasm rather than data readiness, roadmaps that assume a foundation the estate doesn't have, and pilots that can't scale because governance and platform were somebody's phase 2. The result is the familiar graveyard — 80% of AI projects that never reach production.
The Apptad Approach to AI Strategy & Roadmap
We start with an honest diagnostic — five dimensions that actually predict whether AI ships: data readiness, platform, talent, governance, and use-case discipline. The roadmap that follows sequences investments so each quarter's work unblocks the next, with business cases tied to measurable operations, not innovation theater.
Maturity before roadmap
Our 45-question assessment benchmarks you against sector data (Stanford AI Index, McKinsey, Gartner sources) and locates the gaps that will actually stall you.
Use-case portfolio discipline
Score candidates on value, feasibility, and data readiness — fund the compounding ones, kill the demos.
Foundation sequencing
Data, platform, and governance investments ordered so AI delivery never waits on a foundation that was deferred.
90-day operating rhythm
Strategy lands as quarterly moves with owners and metrics — not a 60-page deck that ages in a drawer.
AI Strategy & Roadmap in Production
Tier-1 Telecom GCC Stands Up a 60-Person GenAI & ML Team in 14 Weeks
A North American carrier's India Global Capability Center had a board-approved GenAI and ML mandate but no bench. Apptad built the team — specialists, leads, and pod structure — and ran it shoulder-to-shoulder until it was self-sufficient.
Read the case study
Top-10 Pharma Cuts Clinical Trial Prep 50% with LLM-Powered Research Assistant
Domain-tuned LLM on Databricks Mosaic AI accelerates literature review, protocol drafting, and inclusion-criteria modeling.
Read the case studyAccelerators & Products for AI Strategy & Roadmap
AI Strategy & Roadmap, Answered Straight
What does an AI maturity assessment cover?
Five dimensions: data readiness, platform & engineering, talent & operating model, governance & risk, and use-case portfolio. Each is scored against tier definitions and sector benchmarks, producing a profile plus a prioritized 90-day playbook. Ours is free, self-serve, and takes about 15 minutes.
Should we build AI capability in-house or bring in a partner?
Both, sequenced. The pattern that works: partner-led delivery pods that ship while structured upskilling and conversion build your bench — our telecom GCC program placed 60 specialists, and 18 converted to client FTEs within a year. Pure outsourcing builds nothing; pure in-house takes years you may not have.
How do we avoid the 80% AI failure rate?
The failures share causes: use cases chosen without data readiness checks, governance deferred, and no evaluation discipline. Fixing selection alone changes the odds dramatically — score every candidate on value, feasibility, and data readiness before funding, and kill projects that can't state their production metric.
Part of our AI / ML practice.
Have a AI Strategy & Roadmap Question? Ask the People Who Ship It
Our AI / ML practice is led hands-on. Connect on LinkedIn or send a note through the form — a practitioner (not a sales rep) replies within one business day.
