Most AI projects don't fail at the model. They fail at the runway.
Pilot piles, governance gaps, and stack debt are why agentic AI stays at the prototype stage. The Sprint closes that gap in 2 weeks.
Three reasons agentic AI stalls in your stack today.
You have AI pilots running. None are in production. Your team can't agree which to scale, which to kill, or what's blocking the rest.
/ Disconnected experiments / No prioritized buildable list / ROI never proven
The data is there. The retrieval indexes, schemas, and access controls aren't. Agents fail silently and your team blames the LLM.
/ No vector storage where it matters / Permission model isn't agent-aware / Lineage and audit trails missing
Without guardrails, evals, and audit trails, every shipped agent is a future incident. The longer you wait, the more expensive the cleanup.
/ No eval framework in CI / Tool allowlists informal / Compliance teams blocking ship
From audit to action
Ready to put a roadmap on the table?
Two weeks from now you'll have a scored opportunity matrix and a buildable roadmap. Whether you build it with us or your own team is your call.
You'll talk with one of our AI strategy leads.
Built for teams that have decided. Now they need direction.
Series B to D companies with active AI roadmaps and product surface to deploy agents into.
/ FinTech, RegTech, MarTech / Hospitality, Marketplaces / In-house engineering team
Operating partners or PortCo CTOs deploying AI across the portfolio with measurable EBITDA impact.
/ Operations and BPO / Customer service and support / Compliance-heavy environments
Established companies with regulated workflows or operations-heavy environments where agents reduce headcount-bound costs.
/ Insurance, healthcare / Legal services / Manufacturing operations
A roadmap your engineering team can build from on day one.
Stack and data readiness scorecard. Color-coded by what to fix first.
/ Stack maturity by capability / Data + retrieval gap analysis / Risk and governance posture
8 to 15 candidate agent and automation opportunities scored on ROI, build complexity, and time-to-value. Top-3 picks called out.
/ Opportunity scoring rubric / Buy vs build per opportunity / Sequenced backlog
System diagrams, model and tool selection, retrieval and orchestration patterns. Plus a 90-day production roadmap.
/ Architectures for top 3 opportunities / Governance & eval framework / Sprint-shaped, scoped, resourced roadmap
Two weeks. Three phases. One roadmap.
Stakeholder interviews, stack walkthrough, data inventory, current AI initiatives review. We map what's there before we recommend what's next.
We score opportunities, model architectures, and stress-test the data and governance assumptions. You see drafts as we go.
Final scorecard, opportunity matrix, reference architectures, and a 90-day production roadmap. Delivered as both a deck and a working doc your team can edit.
Investment
AI Readiness Sprint starts at €15,000.
Fixed scope, fixed fee, fixed timeline. Includes 3 stakeholder interviews, the full audit deliverables, and a 60-minute roadmap walkthrough with your engineering and product leads. The Sprint fee is credited toward the first build engagement if you continue with us.
selected case studies
From Sprint to production.
AI Readiness Sprint FAQ
What people ask before booking the Sprint.
SELECTED clients
Behind every logo is a system we engineered, shipped, and scaled.
Let’s talk.
If you’re excited to solve real problems and work with teams who move fast and think big, we’d love to meet you.
next steps:
→ We’ll get back to you within 24 hours.
→ Let us know if you require an NDA.
→ You’ll be speaking with one of our tech project managers.
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