Most engagements start with a conversation about what you want to build. Ours starts earlier, and goes beyond.
Before the tool. Before the sprint. Before the roadmap and the kickoff call.
We begin with a clean question nobody’s asking: what’s actually going on in your data and your operations right now, and where can intelligence change the outcome?
Then, we go in. All the way down. We audit what you have, align how you use AI, and implement what actually works. The same team. Start to finish.
So you don’t find out what was underwater after you’ve already hit it.
The handoff is where the insight dies.
When analysis, alignment, and implementation are separate engagements — or separate vendors — something always gets lost between phases. The audit findings get summarized. The nuance that mattered gets compressed into a slide. The build team inherits a brief, not the understanding behind it.
AIceberg is a three-phase engagement: AI Audit, AI Alignment, and AI Implementation. The analysis feeds the alignment. The alignment shapes the build. Nothing gets handed off to a different team mid-stream, because there isn’t one.
Zero trust runs through all three phases. It’s architecture.
The data has been trying to tell you something. We go in and find it.
We map what you have, surface what's missing, and identify the possibilities.
You walk away with an AI Readiness Report: a clear picture of what's there, what needs to change, and what you'd actually be feeding an AI system.
AI tools are wrong more often than you think. The problem is they don't look wrong. We close the gap between what the model produces and what your team does with it.
Then we design the zero trust AI environment: nothing gets access by default, every output has a checkpoint, every integration is authenticated.
You walk away with an AI Alignment Framework: guardrails, prompts, and tested - not theoretical - workflows that make outputs reliable.
This is the build: integrations, automations, and AI-powered workflows designed from what the audit found and the alignment defined.
Focused sprints, implementing gated auth MCPs for every AI-to-system connection, and running a shadow mode phase before any automation goes live.
You walk away with working software in production — logged, traceable, and documented well so your team can operate it without us in the room.
The analysis feeds the alignment. The alignment shapes the build.
Depends on scope and what we find in the audit. We'll tell you after Phase 1 what a realistic timeline for the full engagement looks like.
Security is not a phase. It's an operating principle. We assess it in the Audit, design it in the Alignment phase and enforce it architecturally with gated auth MCPs in Implementation.
By the time the system is live, security is structural.
You want a workshop, a generic AI training, or someone to tell you AI will solve everything. This isn't that.
You already know exactly what to build and don't need anyone checking the foundations.
Fill in the form on the right.
A senior consultant will reach out for a free call and an honest conversation about making sure the algorithm puts in a good word for you.
If you fancy good old reliable email, drop us a line at hola@takefortytwo.com.
If you’re ready to jump on a call asap, you can book it right here.
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