As-is process discovery audit recommend prove
See how your company actually runs, not how the org chart says it does.
A structured interview engine and document intake map your real processes across every department, find where automation pays off, and produce the plan to build it — with a source behind every claim.
The problem
The map is not the territory, and the documented process is not the real one.
It lives in people's heads
The way work really happens is undocumented, inconsistent between teams, and changes faster than any wiki keeps up.
Consulting is slow and costly
A traditional audit takes a quarter and a seven-figure budget, and still leaves you with slides instead of a living model.
Automation is guesswork
Without an honest as-is, you automate the wrong steps — and you can't prove what the change was worth.
How it works
Four steps from first interview to a plan you can build.
Onboard & calibrate
Set industry, country, and the systems you run. The agents load the relevant domain knowledge and ask questions that fit your business — not a generic script.
Interview & extract
Respondents answer a focused interview in their own language. Each answer becomes structured steps, roles, decisions, inputs and outputs — with confidence and a source reference.
Map & reconcile
Answers across departments are merged into one model. Contradictions are surfaced, not silently resolved; gaps are flagged for follow-up.
Recommend & prove
The system scores each process, proposes where agents and automation pay off, designs the target operating model, and tracks the savings once you build it.
As-is → to-be
From the process you have to the one worth building.
Every recommendation is anchored to the validated as-is model and its evidence, so the to-be is a defensible plan rather than an opinion.
Side-by-side diff of every changed step
Traceability from each change back to its source
Exportable as BPMN, Mermaid, and document
What actually happens
Manual hand-offs, re-keyed data, approvals waiting in inboxes, and steps no one owns — captured exactly as your teams described them.
What the work becomes
Agents handle the repetitive judgement and routing, people own the exceptions, and the path is measured end to end.
Before & after
The same audit, on a different clock and budget.
| Before — the manual audit | After — Process Discovery | |
|---|---|---|
| Time to a first model | 8–12 weeks of workshops | Days, as interviews come in |
| Coverage | The processes you remembered to scope | Every department, tracked for gaps |
| Evidence | Notes and recollection | A source reference on every claim |
| Output | A slide deck that ages | A living model, blueprint, and documents |
| Proof of value | Estimated in the proposal | Measured against a real baseline |
Figures shown on this page are illustrative ranges, not a quote.
Feature & value
What it does, and why it matters to you.
By industry
Calibrated to your sector, because every industry runs differently.
Problem-loan monitoring
Template distribution, branch data collection, validation, risk classification, and board reporting — mapped and de-bottlenecked.
Claims intake & triage
First-notice capture, document checks, and routing — where agents handle the routine and adjusters own the exceptions.
Patient onboarding
Eligibility, records, and scheduling reconciled across systems, with hand-offs made visible and owned.
Procure-to-pay
Requisition, approval, receipt, and invoice matching — the approvals that wait in inboxes get routed and tracked.
Order-to-delivery
Booking, exceptions, and status updates across handlers — surfaced as one interrelated flow, not silos.
Case & permit handling
Submission, review, and approval — made transparent and auditable, with every decision traceable.
Returns & reverse logistics
Return authorisation, inspection, restock, and refund — the manual look-ups and re-keying mapped and routed.
Field service work orders
Intake, scheduling, dispatch, and close-out — handed between systems and crews, made one tracked flow.
Time saved
Where the weeks go, and where they come back.
The four-step pipeline takes back the time a manual audit spends on scheduling, transcription, reconciliation, and slide-building — at each step, not just at the end.
Calibration replaces the kickoff workshops; the relevant domain knowledge loads before the first interview.
Each answer is recorded as steps, roles, and decisions with evidence — there is no notes-to-model write-up afterward.
Cross-department contradictions and gaps are flagged automatically instead of found by hand in a review meeting.
Realised savings track against the baseline as the change goes live — you do not commission a second study to prove value.
Every figure on this page is an illustrative range, not a quote or a guarantee. Actual results depend on your processes, systems, data quality, and the scope of the engagement. Numbers describe the kind of change customers in a sector typically pursue; they are not a commitment and reference no specific client.
Governance
Smart like an analyst, strict like an audit system.
The model never runs the show. State transitions are deterministic, outputs are schema-checked, and nothing enters the record without evidence.
Bounded autonomy
The system controls the workflow and state; the model proposes, it does not decide.
Evidence-based
Every step, decision, and number carries a source reference and a confidence score.
Traceable
Every action is logged and linked to its campaign, interview, and process.
Yours to keep
A living model you own and re-run — not a deck that ages the day it ships.
What you get
Four deliverables, one continuous engagement.
Process map
Your interrelated as-is processes across departments, with evidence and coverage.
Agentic blueprint
The target multi-agent operating model and where it cuts cost and time.
Requirement docs
PRD, BRD, technical and software requirements, ready to hand to a build team.
Value monitoring
Realised savings measured against the baseline, once the change is live.
Get started
Start with one process, prove it, then scale.
Run a single discovery campaign on a process that matters. See the model, the blueprint, and the numbers — then decide how far to take it.