We run an AI engagement the way our firm runs a transaction: audit the reality, quantify the upside, control the risk, and hand you something you own. Six steps, one team accountable throughout.
A 30-minute call. You describe the business and the workflow that hurts. We tell you plainly where AI pays back and where it does not.
You get: An honest read on whether a build is worth it.
Two weeks inside your real workflows, data sources and bottlenecks. We score each automation candidate on hours saved or revenue recovered against the cost to build.
You get: A written audit and a prioritised shortlist, yours to keep.
We build the workflow with the largest payback on your real data: agents, automations and integrations wired to the tools you already use.
You get: Working software on your stack inside the first month.
Human approval steps wherever money or messages leave the business, plus monitoring, audit trails and reporting, built in from the first day.
You get: AI you can defend to a board or an auditor.
Production rollout, team training and documentation. You see the system run against real traffic before you commit to autonomy.
You get: A deployed system and a team that can run it.
A flat monthly retainer for ongoing builds and new workflows, or take the repository and run it yourself. The choice is yours.
You get: Full ownership of the code, the prompts and the data.
Every engagement runs on the same backbone: map the workflows and where time and money leak, score each candidate on payback divided by build cost, build the highest-return workflow first, and define the controls and reporting before anything goes live. It is why our recommendations tie to one measurable number and our systems hold up in production.
Thirty minutes. If a build does not pay back, we will tell you. The audit is yours either way.
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