Strategy written by people who ship.
Most AI strategy decks fail on first contact with engineering, because the authors never built anything. Our roadmaps come from engineers — every recommendation carries an architecture, a cost model, and a falsifiable milestone.
✓ deliverable: roadmap + reference architecture + cost model
✓ ip transfer: complete · lock-in: none
✓ delivery: hyderabad · timezone overlap: US/EU
# every claim on this page is contractually testable
The expensive failure mode isn't bad AI. It's the wrong project.
Enterprises don't usually fail at AI because the model underperforms — they fail by selecting initiatives with no data foundation, no owner, and no measurable baseline. Selection is a strategy problem, and it's solvable with engineering discipline applied before any code exists.
Capabilities
Opportunity audit
We score your candidate use cases on data readiness, integration cost, and value density — and tell you, explicitly, which candidates to retire.
Build vs buy vs wait
Honest analysis including ‘wait’ — sometimes the right move is letting the ecosystem mature six months. We model all three paths with costs.
Reference architecture
Target-state architecture grounded in your actual estate: identity, data platforms, network topology, compliance constraints.
Unit economics modeling
Cost per request, per document, per decision — modeled before you commit. AI initiatives die of unit economics more than accuracy.
Governance & risk frame
EU AI Act classification, model risk tiers, human-oversight design — built into the roadmap, not bolted on at audit time.
Executive alignment
Board-ready material that survives technical scrutiny, because the people writing it can defend every line.
The approach
A sequence, because the order is the point: each phase gates the next on evidence.
Discover
Two weeks of structured interviews, data-estate review, and candidate use-case collection across your org.
Score & select
Each candidate scored on value, feasibility, data readiness, and risk. You get a ranked portfolio and explicit kill recommendations.
Blueprint
Reference architecture, unit-economics model, and governance frame for the top initiatives — detailed enough for an engineering team to start.
Roadmap & handoff
A sequenced 12-month plan with falsifiable milestones, budget envelopes, and decision gates. Optionally, we build phase one.
Deliverables
- Scored and ranked AI opportunity portfolio
- Build/buy/wait analysis with cost models
- Target-state reference architecture
- Unit economics model per initiative
- Governance and risk classification frame
- 12-month sequenced roadmap with gates
- Executive presentation pack
- Optional: phase-one delivery proposal