// AI Consulting
AI Consulting Services
Our AI consulting services help you make the expensive decisions before you write code: whether AI fits the problem at all, which approach is cheapest, what it will cost to run at scale, and where the risks live. Most failed AI projects fail at the decision, not the build, so that's where we spend our time with you.
Is this you?
- Leadership wants an AI strategy but the team needs a straight, vendor-neutral read.
- You're weighing build vs. buy vs. API and want the arithmetic before committing.
- A stalled or over-budget AI initiative needs an honest second opinion.
What you get
Opportunity and feasibility review
We map where AI could pay off in your business and, just as usefully, where it would burn money for no return.
Approach and architecture
A recommended approach (rules, ML, LLM, RAG, custom) with the trade-offs and a reference architecture you can hand to any team.
Cost and risk model
Build and running-cost estimates at real volume, plus the security, data and accuracy risks spelled out plainly.
A prioritised roadmap
What to do first, what to defer, and what to deliberately not build, sequenced by value and risk.
How we work
- 01
Listen and frame
We learn your goals, constraints and data reality, then frame each opportunity as a problem rather than a technology.
- 02
Assess each idea
Every candidate goes through the same checks: is it fuzzy, can you tolerate wrong answers, does the value clear the cost.
- 03
Recommend and cost
Clear recommendations with numbers behind them, including the cheaper non-AI options where they win.
- 04
Hand over or build
You get a roadmap your team can run with, and we can build it with you if you'd like us to.
// FAQ
Frequently asked questions
Independent AI consulting helps you decide where AI fits, which approach is cheapest, what it will cost to build and run, and what the risks are, then hands you a prioritised roadmap. The goal is to spend a few weeks getting the decision right so you don't spend a quarter building the wrong thing.
Developers build what they're told to build. Consulting decides what's worth building in the first place, including the option of not using AI at all when a rule, a classic ML model or an off-the-shelf product is the better answer. The decision is where most of the money is saved or lost.
Yes, often. The goal was never to use AI, it was to solve the problem well. If a knowable rule, a smaller model or buying an existing product solves it more cheaply and reliably, that's what we'll recommend.
A focused feasibility and roadmap engagement is usually a few weeks, depending on how many opportunities you want assessed and how accessible your data and stakeholders are. You leave with recommendations, costs and a sequence, not a slide deck of generalities.
Want a vendor-neutral read on your AI plans?
Bring the idea, the stalled project or the strategy. We'll tell you what's worth doing and what isn't.