AI Consulting
From a promising demo to a system that survives production.
Senior guidance on where AI pays off, which architecture fits, and how to ship it for real. We pressure-test ideas, design the right system, and tell you honestly what to build — and what not to.
Why our AI consulting delivers results
The difference between AI that demos well and AI that ships is not the model — it is the engineering around it. That is what we focus on.
The right architecture
Most AI fails in production because the architecture was an afterthought. We design routing, tool access, and control flow for the real system from day one — not for the demo.
Memory that holds context
A memory triad — short-term, long-term, and working context — so the system remembers what matters across a task instead of starting blind every call.
Evaluations, not vibes
We define what “correct” means and measure against it continuously. You get evidence the system works, including on the edge cases that quietly break demos.
Built for production scale
A flow that works once in a meeting falls apart at volume, with messy data and real users. We pressure-test for exactly those conditions before you commit budget.
How we can help
Engagements scoped to where you are — from a first roadmap to de-risking work already in flight.
AI strategy & roadmap
Where AI pays off in your business, in what order, and what it will take — a prioritized roadmap tied to real outcomes, not a list of trends.
Architecture & feasibility
Pressure-test an idea before you build: is it feasible, what is the right design, what are the risks, and what will it actually cost to run.
Governance & compliance
Data handling, EU AI Act classification, and human-in-the-loop design — so what you ship is defensible as well as capable.
Team & delivery review
A check on AI work already underway: what is solid, what will not scale, and the fastest path to getting it into production.
AI consulting in action: where it pays off
The same principles, applied to the problems each industry actually has.
Financial services
A retrieval copilot over policy and product documents that gives front-line staff accurate, cited answers in seconds — cutting research time and inconsistent advice.
Healthcare
An AI pipeline that turns unstructured results into structured, reviewable summaries, with a clinician in the loop on every decision that matters.
Procurement & sales
A real-time negotiation copilot that surfaces the right precedent and terms mid-conversation, shortening prep and strengthening outcomes.
Operations & back office
Agentic workflows that read, classify, and route documents end to end — replacing manual re-keying with an audited, reliable process.
Customer support
Triage and drafting that resolves the routine fast and escalates the rest with full context, so the team spends its time where judgement is needed.
Product & engineering
Internal copilots over your own codebase and knowledge — accelerating the work your team already does, grounded in your actual systems.
How an engagement runs
Discover, design, deliver — with the system measured against production conditions throughout.
01
Discover
We map your goals, processes, data, and constraints — and find where AI creates real leverage and where it does not.
02
Design
We design the architecture, the evaluation criteria, and the governance, then put a realistic scope, cost, and timeline against it.
03
Deliver
We build in small, reviewable increments — or hand the plan to your team — with the system measured against production conditions throughout.
Consulting FAQ
What teams ask before engaging.
Something else?
Ask us directly.
Ready to start your AI transformation?
Bring us the idea, the demo that stalled, or the team that needs direction. We will tell you what it takes to make it production-real — and whether it is worth it.