Ask your own people
Fifteen months of workshops, with the CEO in the room — and the distinction that mattered still surfaced in production, after the workshops designed to find it. Four senior answers, all sincere, all different.
Beam Discovery interviews the people who actually do the work — nothing installed, no system access — and returns every process in a department, ranked, priced, and evidenced.
10 minutes, free — your hypothesis ranked on screen. No email to see the result.
Processing >10M AI agent tasks for Fortune 500 companies & scale-ups
Case studies
Volkswagen Group ↓·BID ↓
Every one of them is telling the truth. Nobody holds the whole of it — and every route to a truthful answer is already closed.
Fifteen months of workshops, with the CEO in the room — and the distinction that mattered still surfaced in production, after the workshops designed to find it. Four senior answers, all sincere, all different.
The SOP listed eleven email classifications; the team used six. The “30 GB” database was 132 GB. The documents describe the process as it was designed — not as it runs on a Friday afternoon.
Mining reads every click and none of the logic — no judgment, no reason a decision was made. And a client-side install puts you behind an IT security review before it has shown you anything.
Four sincere answers from four senior people, and not one you could defend to a board — so the AI budget line reads “in progress” for a third quarter.
Evidence from your people becomes a ranked list of what to automate — and a runbook your builders can start from. Nothing installed to begin with.
“Where do approvals tend to stall or get stuck?”
Talk to everyone who touches invoice approval — this week, not next quarter.
Show me every process worth automating — ranked and priced, on one page.
Hand my team a spec they can build from — and the cases it has to pass.
this is the shape of the answer. The opportunity view — every process in the department on one field, every candidate ranked by volume, cycle time and automation fit, and every euro figure carrying its confidence: observed, estimated or assumed. Nothing is averaged into a tidier number.
Maria has approved payouts over €50k by email for eleven years. Nobody had written it down. It isn't in the SOP, it isn't in NetSuite, and it would never appear in an event log — because the decision happens before anything is keyed in.
The graph surfaced it in the third interview, marked it disputed, and held it there until two more people confirmed it. It was never averaged away into a tidier answer.
That rule is now a guardrail in the claims agent — and Maria approves the edge cases.
Large enterprises with tons of processes they don't understand that they wanna layer AI into them — you're giving them the tools to figure that out… I have not, frankly, seen anything like it.
— Chief Software Architect, Fortune 500 insurerrelayed
In every one of these, the money and the months went on working out what to build. The building itself took days — that gap is what Discovery closes.
Six months of engagement produced no use case at all, and nobody could say which process should be next.
Months to describe. Days to build. Two weeks, one department, every opportunity ranked and priced — and the description is yours either way.
The rest are decisions about how the product works — which is the part a security review actually reads.
Independently audited, end to end — discovery, the graph, and the agents that run from it. Not a single component in scope while the rest sits outside it.
Zero retention. Not by us, and not by our model providers — the same clause holds all the way down the chain, and it is in the contract rather than in a blog post.
Agents prefill and propose; your people decide. Review points are defined during discovery, not bolted on when compliance asks.
Discovery starts with interviews, not integrations. Access is earned later, when production data is actually needed — so nothing waits on a data project.
Process mining reads the exhaust — what your systems recorded after the fact. It can tell you a case took fourteen days across six systems. It cannot tell you why someone overrode the credit check, that the real approval happens over email before anyone keys it in, or that a spreadsheet is holding the process together. We watch the work instead: the people doing it, on real cases, including the parts no system ever saw.
No — not to begin. Discovery runs on voice interviews and the documents you already have, plus an optional screen-share on one real case. Integrations come later, after there is a build spec and production data is genuinely needed. That ordering is deliberate: a discovery method that requires a security review before it produces anything becomes a transformation project.
Five artefacts: the opportunity map — every process in the department, ranked and priced, with the evidence behind each number; the discrepancy report — where what you believe about the work diverges from how it is actually done; the build spec for the top process; the agent itself, run against cases your team already handled, with an accuracy figure; and the baseline — volumes and handling times recorded before anything changes, so the win is provable later. You keep all five whether or not you go further.
About twenty people, thirty minutes each, once — on their own time. No workshop series, no room to book, no calendar block for your best operators: we schedule, invite and chase. You name a department; you don't even pick the process. If it costs more than that, the method is wrong.
No. Zero retention, no training use — ours or our model providers'. It is contractual, it is in scope for the SOC 2 Type II audit, and it holds for interview recordings, transcripts, documents and production traces alike.
Everything the graph marked as a decision. Agents prefill and propose; a person approves. Which steps carry a human review point is settled during discovery, from the way your organisation already draws that line — not from a default we picked.
That is the signal, not the noise. Contradictions are kept as contradictions, marked disputed, and traced back to who said what and when. The graph then asks the question that resolves them. Averaging five accounts into a tidy sixth one is exactly how the fairy tale gets built — so we don't.
And one agent proven against your own team's decisions.
You keep all five — whether or not you go further.