We help founder-led teams identify which workflows are ready for AI, which need operational cleanup first, and which should not be automated at all.
They fail on the operations underneath it. The same seven gaps show up almost every time.
The tool is rarely the problem. The system around it is. AI works best when the work is already clear.
We score every workflow against the same checklist before a single tool is discussed. The score, not the hype, decides what happens next.
Does this happen often enough to matter? Automating a monthly task rarely pays back the build.
Is the process consistent enough? If it runs differently every week, there is nothing stable to automate.
Does someone own the outcome? An automation without an owner is an orphan waiting to fail.
Is the required data accessible and reliable? Rubbish in still means rubbish out, just faster.
Are the edge cases known and documented? The exceptions, not the happy path, are where automations break.
Is the impact of a failure acceptable? Some workflows can tolerate a wrong output. Others cannot.
Can success be tracked? If you cannot measure the workflow today, you cannot tell whether the automation helped.
Score a workflow against all seven and it lands in one of three verdicts.
High volume, stable, owned, measurable. We build it, test it against the edge cases, and hand it over with documentation.
Worth automating, but the process, ownership or data is not ready. We clean up the operating layer, then automate on solid ground.
Too rare, too risky, or genuinely better done by a person. We say so plainly and save you the build cost.
Every engagement starts with the audit and ends with your team running the result without us.
We map how your core workflows actually run: steps, handoffs, inputs, owners and the exceptions nobody wrote down.
Every workflow scored against the seven criteria, with a clear verdict: automate now, fix first, or do not automate.
The right tools for your stack and your team, chosen on fit. We build on what you already use wherever possible.
A sequenced plan with owners, timelines and dependencies, so the quick wins land first and nothing stalls halfway.
Where the score says go, we build the automation, test it against the documented edge cases, and monitor the first runs.
Your team learns how it works, how to maintain it, and what to do when it breaks. No dependency on us to keep it running.
We are independent and tool-agnostic. No referral deals, no commissions. Every recommendation is based only on fit for your business.
Built by an operator who shipped production AI systems inside a live business, including a feasibility agent that compressed a multi-week bottleneck into a 2 to 5 minute check.
Read the founder storyUnclear ownership, missing standards and invisible handoffs are Performance Engine problems. We fix those first, then automate on top of a system that holds.