AI is capable of operational work: preparing quotes, chasing receivables, answering customers, producing the reports from disparate sources that currently take a day, and answering questions about your business. The AI Opportunity Assessment establishes which opportunities are worth the most inside your business, and sets the order to build them in.
It happened one workaround at a time. See how many of these you recognize:
The numbers only line up when you personally carry them between systems.
Growth doesn’t bring freedom. It brings more exceptions, and they all have your name on them.
Headcount went up. Capacity barely moved. The work simply spread.
Nobody dropped the ball on purpose. Everyone was heads-down on the last thing.
Cash, margin, who’s slipping — the data exists, just never in one place at one time.
Nothing is written down. Every holiday, resignation or sick day is a risk you absorb personally.
In most founder-led businesses, a small number of workflows account for the majority of recoverable time and margin: the ones that run constantly, touch several systems, and depend on people to carry information between them. Those are where AI earns its keep. The Assessment locates them, establishes what each transformation is worth, and sets out what’s needed to capture it. The output is a costed plan, and a prioritization for what gets built.
Sessions with leadership, and with the people doing the work. Leadership sets out what the business is accountable for. The operators show what actually happens, including the workarounds.
The interviews are worked into a single inventory of pain points and transformation opportunities across the business, each traced back to the process it comes from and the people it affects. Nothing is filtered out at this stage.
Effort concentrates on the processes that touch the measures leadership is judged on: margin, cycle time, conversion, cost to serve. Those are mapped in depth, scored for impact and effort, and placed on the opportunity matrix. A baseline is taken at the same time, so the return can be proven once the work is live.
Every process is positioned on two axes: what it returns, and what it costs to capture. The same discipline used to allocate capital anywhere else in the business, applied to AI. Which quadrant an initiative lands in decides if and when it gets built.
Identified early and named, so the budget goes somewhere it earns more.
The genuinely transformative work, sequenced once the foundations under it are in place.
Picked up alongside larger builds when the marginal cost of doing so is close to zero.
Where the roadmap starts. Returns land inside the first phase and help pay for what follows.
The engagement concludes with:
The order to build in, front-loaded so the first returns arrive early and help fund the phases behind them.
The full portfolio of identified initiatives, positioned by impact and effort on a single view suitable for the board.
Built from your own cost and volume data: the capacity recovered, and the revenue it supports once it is freed.
Eliminate, remediate, automate, augment or retain. Automation is recommended only where the process underneath it is sound.
Every process examined, written up as a standard operating procedure. It outlives the engagement and takes key-person risk out of the business.
Each priority initiative defined in enough detail to start work immediately: scope, the systems involved, the data required, and the measures that will prove it worked.
Eleven questions, three minutes. You get an AI Strategy Brief — where you stand, where your market is heading, and the three transformations with the highest return — instantly.
A senior partner maps your critical paths, gives each process a triage verdict, sequences the fixes and provides a quote. Watch a live demonstration of Cortex on real company data.
Define success criteria before building. Remediate processes, install Cortex and connect workflows. Parallel testing and fine-tuning, followed by go-live. Decoding AI cultural change and adoption sessions follow.
The most common reason AI investment fails: usage stalls at superficial experimentation. Cultural change catalyst "Decoding AI" is our answer — a structured, hands-on training that turns your own people into confident AI operators.
They train on the systems we build for you and on the tools you already hear about — Claude, OpenAI, etc. The outcome is independence: your team running AI-enabled workflows on its own. Capability, not dependence.
For founder-led businesses at $3–15m, where you’ve become the operator and integrator of systems that don’t talk. Cortex runs the routines and provides the insight — so you can run and scale your business.
Cortex is the intelligence layer that brings together all your systems, tasks and reporting.
Watch as queries run against a real client stack.
Business processes and workflows are wired into Cortex and governed from one intelligence layer. A representative view of what can be connected and automated:
Approval chains, re-keying and repetitive admin run themselves — so the work scales without the headcount that usually comes with it.
Every enquiry captured, qualified and followed up within minutes, from any channel — recovering the ones that used to go cold while everyone was heads-down.
On-brand content across Instagram, LinkedIn, TikTok, X and more, with replies drafted for your review — so presence stops depending on finding the time.
One live view of the operation, current at all times — so decisions get made on today’s numbers instead of last month’s export.
Ask in plain language and get the number, with the source it came from. The day-long reconciliation exercise stops being part of the job.
Order status, common questions and internal FAQs handled instantly, with customer-facing replies proposed for a human to approve before they send.
Paid-channel spend tied to what it returned, so budget follows evidence instead of instinct.
Each workflow we build comes with a written SOP — so the process is transferable, reviewable, and owned by you.
Your operation keeps the systems it already runs on — but the broken paths get repaired and the routine stops needing a person. You stop being the integration layer, and capacity stops being capped by your attention.
How Foundry worksCash, margin, who’s slipping, what’s stuck — answered from live data with its sources shown, in seconds rather than a day of spreadsheets. It acts within limits you set in writing, and logs everything it does.
See Cortex liveFor a new business or a step-change. Everything speaks one data model from day one, every process is born documented, and you skip the years of accumulated workarounds the rest of this page exists to undo.
How Genesis works