You don’t have an AI problem. You have a foundations problem.
The technology is rarely what stops enterprise AI. Broken data infrastructure, absent governance, and operating models never designed for agents are what do it. Kallidin’s consulting finds what is broken, designs the fix, and builds the foundation your AI can actually run on.
What we keep hearing.
Three proofs of concept. Nothing in production.
The technology worked. The foundations did not. This is the pattern we hear most.
We know AI matters. We don’t know what to do first.
The answer starts with an assessment of where you are, not a strategy document about where you could be.
We have a target operating model. We have no idea if it will work.
Ours are designed by people who have run the function, not just advised on it.
The board is asking questions we can’t answer yet.
Governance is easier to build before the questions arrive than after.
Our customer programme is ready. The data behind it isn’t.
A stalled marketing or customer programme is usually a data foundation problem underneath, and it can be unblocked.
How the work runs.
The diagnostic2 to 4 weeks · flat fee
We map before we build: where your data lives, how it moves, who owns it, where it breaks, often the first time that picture has existed in one place. You get a maturity heatmap, a gap analysis and a prioritised 12 month action plan, with no obligation to go further. The lowest risk way to find out if we’re right.
Design
The strategy and architecture for enterprise decision making that scales: what to build, what to fix, what to retire, and the order that takes the risk out.
Transformation
The operating model and ways of working redesigned for a world where agents do part of the work: who does what, what gets checked, and how the function runs day to day.
Retained advisory
Ongoing senior counsel, monthly, with a defined scope. For the leader who wants the advice without a programme running.
One rule holds across all of it: no phase runs longer than a quarter, every phase is built to show measurable impact inside 90 days, and success is evidenced as you go, not argued at the end.
Every engagement starts with the diagnostic. Book a discovery call and we’ll tell you straight whether it fits.
Who does the work.
The people in the room are the people on this site. Kallidin’s consulting is led by its founders: operators who built and sold two data businesses and spent careers inside enterprise programmes, not a rotating bench. You will know who is doing your work, because you will have met them.
John Brodie
Co-founder
Built and sold Aquila Insight, to Merkle in 2017.
Warwick Beresford-Jones
Co-founder
Built and sold Forth Point, to Blend360 in 2023.
Sam Riddington
Consulting
25+ years in enterprise consulting. IBM, Accenture and Optima.
Anders Uhrenholt
Chief Engineer
PhD in machine learning; Amazon recommenders serving 500m+ people.
Whatever we build sits inside your environment, in the UK, with every answer checked and auditable. The full detail, residency, audit trails, access, versioning and exit, is published openly on our trust page.
Read the trust page →Where this leads.
Sometimes the diagnostic and the foundation work are the whole engagement. Sometimes they’re the start: a bespoke multi-agent system built around your workflows, or KAL, the Autonomous Data Office, the platform that runs the daily work of your data function with every answer checked, traced and auditable. And for private equity firms the same thinking runs on a track shaped for the hold period, starting with a Portfolio AI Value Scan.
Questions buyers ask.
How long does the diagnostic take?
Do we have to commit to the platform to work with you?
Will this replace our data team?
We’ve already run pilots that stalled. Why would this be different?
Tell us where you’re stuck.
A discovery call is a conversation with someone senior, no deck, no pitch. Tell us where you’re stuck and we’ll tell you straight whether the diagnostic fits, and what we would look at first if it does.