Know where AI will pay off first — and what has to be true before it does.
Diagnostics, strategy, and readiness work that turns board-level intent into a funded, prioritised portfolio with owners, a value model, and a credible path to production.
Most AI programmes fail in the first decision, not the last line of code: the wrong use case, an unfunded data prerequisite, or a governance constraint discovered at go-live. Our Strategy & Readiness practice exists to make the first decision right.
We work in weeks, not quarters. Every engagement ends with artefacts your teams can execute against: a scored use-case portfolio, a value model the CFO accepts, a target architecture, and a roadmap with the dependencies made explicit.
AI Opportunity Assessment
A rapid diagnostic of where AI creates value in your business. We interview leaders and operators, inventory data and systems, and score every candidate use case on value, feasibility, and risk — so you fund the two or three that will work, and park the rest with a reason.
Prioritised use-case portfolio (value /...Value model per shortlisted use case, wi...12-month roadmap with data, platform, an...Executive readout and board-ready summar...
Enterprise AI strategy aligned to corporate goals: where to play, how to win, and how to organise. We design the AI studio or centre of excellence, the funding and stage-gate model, build-buy-partner rules, and the governance charter that keeps the portfolio honest.
Strategy document with explicit choices...Operating model: roles, decision rights,...Funding model and stage-gate criteriaGovernance charter and talent plan
An audit of data quality, access, lineage, and infrastructure fit for AI workloads — including sovereignty and residency requirements. You get a scorecard, a prioritised remediation backlog, and a target architecture that the first production system can be built on.
Readiness scorecard across data, platfor...Remediation backlog, sized and sequencedTarget architecture (reference design, d...Sovereignty and residency requirements r...
For organisations not ready to hire a full-time Chief AI Officer. A Neuronetix partner joins your leadership cadence, steers the portfolio, reports to the board, manages vendors, and builds the internal capability to replace themselves.
Monthly portfolio steering and board rep...Vendor and partner managementHiring and succession plan for an in-hou...
Independent assessment of what an AI capability is really worth: the models, data rights, engineering quality, regulatory exposure, and the gap between the pitch deck and the codebase. For acquirers, investors, and buyers choosing between vendors.
Red-flag reportValuation inputs: defensibility, data ri...100-day plan for post-close
