AI Consulting
Where AI produces return, costed and sequenced.
AI Consulting establishes which AI investments an institution should make, in what order, and at what cost, before engineering spend begins.
AI Consulting establishes which AI investments an institution should make, in what order, and at what cost, before engineering spend begins.
A fixed-scope diagnostic with a defined start, end, and deliverable.
The assessment reviews the client's data, workflows, and systems against candidate use cases. Each use case is scored on operational value, data readiness, integration effort, and risk, then costed and sequenced into a roadmap. The client owns the roadmap and can execute it with Nexa or another vendor.
Investment sequenced by return, dependency, and risk.
Each prioritised use case carries a cost estimate, an expected operational return, its data and integration dependencies, and its place in the build sequence. The roadmap is written for the executive committee and the board, and it specifies the first build in enough detail to tender or to start with Nexa.
The controls an institution needs before AI reaches customers or decisions.
Nexa drafts the policies, approval workflows, and risk assessments that govern how the institution adopts AI: which use cases require human review, how models are evaluated before release, and how data is handled under the client's regulatory obligations.
Independent evaluation against the client's own data.
Test sets built from the client's documents, queries, and workflows.
Commercial and open models scored on accuracy, latency, cost, and data residency.
Third-party AI products assessed against the client's requirements and contract terms.
A written recommendation with the evaluation results behind it.
Four inputs from the client set the depth of the assessment.
The assessment runs on access, documents, and time from the people who run the operation. Nexa requests each input at the scoping call so the assessment starts on an agreed date.
The first build on the roadmap moves into AI Engineering.
The specification produced by the assessment becomes the brief for the first build, delivered by the same team that wrote it.
View AI EngineeringSend a short description of the operation and the problem. A 30-minute scoping call follows.