A team of AI agents interviews your stakeholders, maps your processes, and surfaces findings from the first week. Insight that compounds inside the engagement, rather than landing after it.
discovery console · illustrative engagement · day 6
read-only view
18 of 26 stakeholders
Interview completed: Senior Estimator (voice, 42 min). Coverage 68%.
by Arc
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01The problem
Every transformation starts with discovery: workshops, notes, and a report that lands months later, half stale on arrival.
The bottleneck is the format. No human team can interview thirty stakeholders in parallel, analyse while they work, or verify a claim in real time.
Agentic Discovery inverts that. Interviews, analysis and synthesis run together, from day one.
workshops → notes → report
to the first traceable finding
02How it works
Six specialised agents, each with one job. Three run the pipeline; three support it.
Setup
Scaffolds the engagement from your documents and context.
Interview
Talks to every stakeholder, on their schedule, on their channel.
Analyse
Builds live service blueprints as responses arrive.
Synthesise
Turns findings into a ranked, evidence-linked roadmap.
Deliver
Keep operators steering and deliverables sharp.
03The agent team
Each has a single job and hands off to the next. Select any of them for what it does and where it sits.
04Side by side
Same objective. A different mechanism for reaching it.
| Dimension | Traditional | Agent One |
|---|---|---|
| Scheduling | Calendar gymnastics with busy stakeholders | Async — stakeholders respond on their schedule |
| Capture | Consultant notes and memory | Every message stored, embedded and searchable |
| Analysis | Post-engagement synthesis, months later | Real-time and incremental, as interviews arrive |
| Traceability | “I think someone mentioned…” | Every finding linked to its source transcript |
| Coverage | What the consultant remembered to ask | Blueprint-driven goals with coverage tracking |
| Speed | Months before the first deliverable | Continuous output from day one |
| Scale | One consultant, a handful of interviews a week | Scout handles stakeholders in parallel, no practical limit |
05What you get
Scout interviews, Lens analyses, Arc synthesises, Research contextualises, Pulse answers, Forge edits.
Web voice, Microsoft Teams, phone and text chat — whichever they already have open.
Its own project, network and database. Nothing is shared between two clients’ engagements.
Physical evidence, customer actions, frontstage, backstage, support processes, analytics.
06Working with Agent One
You have a business to transform. We deploy Agent One to interview your stakeholders, map your processes and deliver a roadmap. You get the insight; we run the platform. The fee is quoted up front and fixed for the engagement, never metered per interview.
Explore the enterprise modelYou sell discovery every week. Deploy Agent One as your discovery engine — your client relationship, your methodology, your pricing — and run more engagements at greater depth without growing headcount.
Explore the partner platform07Common questions
A consulting firm sends people to interview your stakeholders and write it up. Agent One runs that fieldwork directly, in parallel, and keeps every finding linked to the sentence that evidenced it. The human role shifts from interviewer and note-taker to strategic director. Many consulting firms run Agent One inside their own engagements.
A professional interviewer available whenever they are, on the channel they already use — Teams, web voice, phone or text. One or two questions at a time, never a questionnaire. They can pause mid-thought on Tuesday and pick it up on Thursday without losing the thread.
In a dedicated Google Cloud project and VPC in an Australian region, isolated per engagement and locked there by organisation policy. It is never aggregated across clients, never used to train models, and can be exported or deleted on request. Model inference is the one thing that leaves: it runs through Google Cloud Vertex AI, and for models not served in Australia that processing happens in another Google Cloud region under Google’s data processing terms. The trust page has the detail.
A setup fee and a discovery fee, quoted up front and fixed for the engagement, with optional agent build and subscription stages after. The quote reflects the scale and complexity of what you are mapping — process areas, depth, the size of the business. Nothing is metered after that, so an extra stakeholder or a longer conversation never changes the invoice.
First findings typically land within the first week, and the console is live from day one. There is no waiting for a report — you watch coverage and findings accumulate as the interviews happen.
Thirty minutes with the team: a live engagement on screen, and what Agentic Discovery would look like in your organisation.