Consilix is founder-led. Small projects are delivered directly; larger ones are delivered by a specialist team assembled from a curated network of freelance engineers, designers and consultants. The sales call, the strategy and the accountability stay with the founder. The rest scales with the scope of the engagement.
I spent five years inside early-stage startups before starting Consilix. In each one I ended up building the AI systems myself, not because anyone asked me to but because the off-the-shelf tools stopped halfway and someone had to finish the job. That pattern is the thesis of this firm.
I formally grounded the technical side by completing a software development programme after the commercial years, which means I sit at an unusual intersection: I can hold a full P&L conversation with a managing partner, then go and write the code for the thing we just agreed to build. Most AI vendors can do one of those things; very few can do both without a handoff.
Over those years I have built a trusted network of freelance specialists: senior engineers, data people, designers and domain consultants. For small engagements, I deliver directly. For larger ones, I assemble the right team, run the engagement and remain the single point of accountability from first call to handover.
A workflow that should not exist cannot be fixed by automating it faster. The first question is whether the work needs doing at all; whether a process redesign would halve it and only then whether a piece of software should take over. A lot of the best consulting hours are spent deleting things, not building them.
A prototype that demos brilliantly and nobody uses is worth nothing. A rougher build that actually removes two hours from a Tuesday afternoon is worth a great deal. The bar for "done" is not whether it looks clever in a screenshare; it is whether the team doing the work prefers it to what they were doing before.
The interesting problems are not solved by a better prompt or a bigger model. They are solved by connecting existing tools, existing data and existing people in ways that compound. Most Consilix builds are less about AI in isolation and more about plumbing, with the AI picking up the parts that plumbing cannot.
Consilix is deliberately not a SaaS company. There is no platform to renew. There is no seat-based pricing pushing us to find users who do not need the thing. Every client relationship is an engagement that can be ended at a month's notice and the builds are yours the moment they ship.
No month-long ramp. The first on-site day is already observing real work. You see value from Stage 01 before you sign anything larger.
Small projects are delivered directly. Larger ones are delivered by a team assembled from a curated network of freelance engineers, designers and domain specialists, briefed and run by James end to end.
The audit is a fixed fee scoped to your team size. Every build is a fixed fee, scoped from the audit, with a one-page SOW. The monthly retainer is rolling. No day-rate creep, no change-order gamesmanship.
Every build Consilix ships belongs to the client, including the prompts, the code and the documentation. You can replace us with someone cheaper the day after handover. That constraint keeps us honest about making builds maintainable.
The audit runs on-site because watching the work is how you learn what the work is. Build sprints are mostly remote. The monthly retainer is flexible: whatever cadence the engagement needs.
We default to tools you already hold data-processing agreements with. Custom infrastructure goes in a UK region with a signed DPA. No fishing expeditions through client data.
Consilix is small enough that every engagement needs to be the right shape. A handful of categories are rarely a good fit.
Book a call and we will walk through it with you. You leave knowing whether it is worth doing, what it would cost and whether Consilix is the right partner for it.
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