AI Consulting

Most AI strategies fail before a line of code is written

The pattern is consistent across the mid-market: a leadership team knows AI matters, commissions a strategy exercise, and receives a document long on possibility and short on numbers. Twelve months later nothing is in production. The problem is rarely ambition — it is that nobody ranked the opportunities by payback, nobody scoped the data and security constraints, and nobody was accountable for a shipping date.

CortexIntel’s consulting practice exists to close that gap. We are an engineering firm that consults, not a consultancy that subcontracts engineering — the people who run your discovery workshops are the same people who deploy workflow automations and custom AI systems for clients in legal, healthcare, retail, finance and education.

What the engagement looks like

Week 1 — Process discovery. We sit with the people who actually do the work: operations, finance, customer service, compliance. We map each candidate process for volume, error rate, cycle time and fully loaded cost. A process that consumes 30 hours a week of a £45K employee’s time is a £35K-a-year problem before you count error cost — making the maths explicit is half the value of the exercise.

Week 2 — Feasibility and ranking. Each opportunity is scored on three axes: financial impact, technical feasibility with your current systems, and change-management risk. This is where we kill the seductive-but-wrong projects — the chatbot nobody asked for, the forecasting model with no decision attached to it — and promote the unglamorous winners like invoice matching and report assembly.

Week 3 — Architecture and roadmap. For the top two or three processes we design the target architecture: which components are commodity (and should be bought), which are differentiating (and should be built), where data lives, how access is controlled, and what the audit trail looks like. You receive a costed 90-day delivery plan with success metrics we are prepared to be judged against.

What you get

The deliverable is a working plan, not a vision document: an ROI-ranked automation backlog, an architecture decision record for each shortlisted process, a data-governance and security brief shaped by our decade of cybersecurity practice, and a fixed-price proposal for the build phase. Clients like the financial services firm in our reporting automation case study went from first workshop to production system in under 90 days on exactly this path.

Who it’s for

Our consulting clients are typically 50–500-person businesses in the UK or India with real operational volume — thousands of documents, orders, calls or applications a month — and no appetite for a two-year transformation programme. If your board wants an “AI strategy” but what your P&L needs is 20 hours a week back, this engagement is built for you.

Why CortexIntel

We publish our numbers and repeat them everywhere because we track them: clients save 85% of the time on processes we automate, and we have delivered over £2M in measured savings across 50+ production deployments. We operate from London and Kochi, which means senior UK-market judgement and deep engineering capacity on one team — and we say no to projects where the ROI case doesn’t survive week two. That discipline is cheaper for you and better for our track record.