Current & Future Process Map
Channels, systems, decisions and exceptions as they work today, and how they would work automated.
Most AI projects stall because the wrong process was chosen first. We audit where automation would actually pay, check whether your data can support it, and hand you a costed blueprint — yours to keep, whoever builds it.
Book an AI Opportunity Audit
An AI readiness audit takes 1 to 2 weeks for a single process and returns a blueprint: the current process mapped, a baseline of volume and cost, an inventory of the systems and data involved, the actions classified by risk, acceptance criteria, and an investment range. You keep the document whether or not you build with us.
The audit exists because the expensive mistake is not picking the wrong tool — it is automating a process whose data cannot support it. Initiatives stall at exactly that point: the pilot works beautifully on clean examples, then meets the real records and the exceptions nobody wrote down.
If the audit finds no measurable case, that is the finding. We would rather tell you the process is not ready than sell an implementation that quietly degrades six months in.
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Channels, systems, decisions and exceptions as they work today, and how they would work automated.
Volume, timing, cost and error rate measured now — the number every later claim is compared against.
What data exists, who can authorise it, which systems expose an API and where the gaps are.
Every action sorted by consequence, with the ones that must keep a human approval flagged.
Scope, exclusions, acceptance criteria, timeline and investment range for the recommended first build.
The audit starts with your operation, not with a product we already decided to sell you.
The blueprint is a standalone deliverable. Take it to any implementer, including your own team.
We classify what an agent may do before anyone writes code, not after an incident.
A written baseline and acceptance criteria, so "it worked" becomes something you can check.
If the case is weak we say so in the report. A "no" now is cheaper than a stalled build later.
Interviews, workshops and the final blueprint delivered in the language your team works in.
Saying so up front is cheaper for both of us than finding out three weeks into a build.
It depends on how many systems, how clean the data is and how much risk the actions carry. The audit is what produces a defensible number: we map the process, check the integrations and return an investment range with the assumptions written down, rather than quoting blind.
The honest test is six things: enough repetitive volume, a countable result, an owner with authority, systems reachable by API or export, data you are allowed to use, and willingness to start supervised. The audit checks all six and tells you which ones fail.
A written blueprint: current and future process maps, a prioritised opportunity matrix, an inventory of systems and data sources, success criteria and a measurement plan, an initial risk register, and a pilot proposal with scope, exclusions and timeline.
Then that is the deliverable, and it is the cheapest result in the engagement. You get the reason — usually data quality, an undefined process, or no owner — plus what would have to change before the case becomes viable.
No. The blueprint is a standalone deliverable and it is written to be executable by anyone, including your internal team. We propose a pilot only when the audit found a measurable case, a process owner and sufficient data.
Your team answers the same questions every day while real buyers wait. We build a chat agent that answers from your own approved content, books the appointment, and escalates the moment it is out of its depth.
Learn more →Copying data between systems, chasing approvals, re-keying invoices. We turn the steps your team repeats every week into flows that run on their own — with validation, logs and a person in the loop where it matters.
Learn more →30 minutes, no commitment. We'll look at the process you want to automate and tell you whether it is ready.
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Start with a single measurable process. Scale it once it has proven the number it was supposed to move.
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