Map the work
Follow the decisions, handoffs, data, and exceptions—not the org chart.
AI consulting that ends in a buildable decision
Find the useful AI opportunity, test the assumptions, and leave with a roadmap your team can execute.
We turn a wide field of possibilities into a small set of justified moves—each tied to a workflow, an owner, and a measurable operating result.
what changes when it works
- A shared view of where AI belongs—and where it does not
- Prioritised opportunities scored for value, feasibility, and risk
- A production architecture and delivery sequence
- An investment case grounded in operating reality
what the work includes
- Stakeholder and workflow interviews
- AI readiness and data assessment
- Opportunity map and prioritisation matrix
- Prototype or technical spike for the highest-risk assumption
- Architecture, governance, and 90-day delivery roadmap
how we move from uncertainty to use
Test the hard part
Prototype the assumption most likely to sink the project.
Make the call
Recommend build, buy, redesign, or stop, with the reasoning made explicit.
this is likely useful when
- You have executive urgency but no trustworthy AI roadmap.
- A pilot worked in a demo and stalled before production.
- You need an independent technical view before committing budget.
before we start
Do you start with a workshop?
Usually with a short evidence-gathering phase. Workshops are useful after we understand the work well enough to make them concrete.
Will you recommend not using AI?
Yes. A simpler workflow, search system, or conventional automation is sometimes the stronger answer.
Can the same team build the roadmap?
Yes. Discovery is structured so it can hand cleanly to Coznix, your internal team, or another delivery partner.
proof before expansion
Each delivery stage should leave usable evidence about the work, the system, and the team that will own it.
task evidence
Real examples show whether the system improves the named workflow and where it still fails.
operating evidence
Quality, latency, cost, permissions, escalation, and recovery are visible before scope grows.
ownership evidence
The code, decisions, infrastructure, tests, and runbook support durable client control.