Discovery report
Workflow analysis, data assessment, and prioritized opportunity portfolio.
Service · Where to start100× faster delivery
AI assessment and strategy
grounded in real engineering
A sharp, forward-deployed sprint that turns AI ambition into a fundable, executable plan - with a working prototype, real cost model, gap analysis on what your team has already built, and a phased rollout your engineers can actually run.
4 wkTypical sprint length1Working prototype shipped per sprint
Overview
Most AI strategies die in the deck. Ours ship a working prototype.
Slideware doesn't ship agents. Boards approve plans they don't understand. AI roadmaps treat "adopt AI" as a goal instead of a hypothesis to test.
Our assessment sprints are different. Senior forward-deployed engineers walk your floor, audit what your team has already vibe-coded, and ground every recommendation in a working prototype - typically inside 4 weeks.
- Opportunity scanMap agentic AI value across your top workflows and surface the highest-ROI bets.
- Target architectureReference architecture for runtime, evals, RAG, governance, and integrations.
- Risk & rescue readHonest audit of what your team has already shipped - what to keep, harden, or rebuild.
- Operating modelPod design, hiring profiles, and rituals that survive past pilot - not org-chart theatre.
What we deliver
Strategy artifacts your CIO and CFO will both accept
Tangible, evidence-backed deliverables - never just a slide deck.
Working prototype
A live, end-to-end agentic workflow demo built during the sprint - on your data.
Reference architecture
Target-state diagrams, vendor selection, and build/buy recommendations.
Roadmap
Phased 12-24 month plan with explicit funding gates, milestones, and dependencies.
Org plan
Pod structures, hiring profiles, and an AI Centre of Excellence model.
Governance framework
AI policy, model risk reviews, and audit-ready evidence collection.
Data readiness
Data inventory, gaps, and a phased ingestion plan for your knowledge layer.
Vendor strategy
Model providers, hyperscalers, and platforms - what to use where, with cost models.
Outcomes
Numbers that move the business
4 wk
Typical sprint length
1
Working prototype shipped per sprint
5+
High-ROI bets per portfolio
100%
Recommendations grounded in code
How we work
A 4-week sprint that ends with a fundable plan
Sharp scope, real artifacts, daily syncs with your leaders. No waterfall.
- Phase 01
Frame
Stakeholder interviews, workflow walks, and the one big bet to validate first.
- Phase 02
Investigate
Data assessment, vendor scan, eval design, and target architecture options.
- Phase 03
Prototype
Build a real working prototype against real data - the proof point.
- Phase 04
Plan
Roadmap, ROI model, org plan, and governance framework. Board-ready.
FAQs
Frequently asked questions
Everything decision-makers and engineers ask before kicking off.
Big-4 decks are written by people who haven't shipped agents. Our sprints are run by senior forward-deployed engineers with production scars. Every recommendation is anchored in a working prototype, real cost data, and a team that could execute the plan tomorrow.
Yes - this is one of the most useful parts. We do an honest read of internal AI tools your HR, ops, sales, or engineering teams have already vibe-coded, and tell you which to keep, harden, or rebuild.
A focused sprint covers one major business unit or one strategic AI bet. Typically 4 weeks with 2-4 senior leads embedded with your stakeholders. Larger enterprise-wide AI assessments run as multiple sequential sprints.
Yes - many assessment sprints transition into delivery engagements with our agentic AI engineering, product engineering, AI rescue, or Lightning Pod services. You're never required to continue with us, and the deliverables are designed for any team to execute.
A focused 4-week sprint typically runs USD 60-150K depending on the number of leads and prototype scope. We provide fixed-fee proposals after a free 30-minute scoping call.
Yes. We provide engineering and AI due diligence for M&A, investment, and platform consolidation decisions - typically a 1-2 week engagement covering codebase health, AI roadmap viability, talent depth, and risk-flagged findings.
Free working session with a forward-deployed engineer
Show us the problem. We'll send back a written plan to fix it.
In 60 minutes with a senior engineer, you walk away with the gaps mapped, the agent worth building first, a risk read on what your team has already shipped, and a reference architecture - at zero cost, no obligation.
- Workflow map
Where the work breaks down today and which gap an agent should close first - calibrated to your business.
- Velocity diagnostic
Where engineering and ops hours actually go - and where forward-deployed delivery takes you next.
- Risk & rescue read
An honest view of what your team has already vibe-coded and what it needs to survive production.
- Architecture sketch
Reference architecture for your runtime, evals, RAG, and integrations - vendor-agnostic.
60-minute working sessionSenior forward-deployed engineerTwo follow-ups + written summaryFree of charge for qualified businesses
Most teams walk away with a fixed-scope plan in a single session.
Book your free assessment
Reserve a 60-minute working session with a senior AI engineer and practice lead.
Get a working AI strategy in 4 weeks.
Tell us your most ambitious AI bet. We'll come back with a sprint scope and a clear path to a fundable plan.