They interview every stakeholder on the channel they already use, and surface findings from the first week. Insight that compounds inside the project, rather than landing after it.
discovery console · illustrative project · day 6
read-only view
18 of 26 stakeholders
Interview completed: Operations Manager (voice, 42 min). Coverage 68%.
Daily report ready: 3 new findings, 2 goals closed, 1 gap flagged.
Proposal drafted: one owner for the triage decision. 9 sources.
Context loaded: 6 comparable processes in the sector.
by Arc
One owner for the triage decision
9 sources
Remove the duplicate data entry at intake
6 sources
Automate the handover into delivery
5 sources
Reusable response content library
4 sources
3 of 6 shown
Scout
Interviewing the Operations Manager, 18 min in
Lens
Cross-checking a claim against two earlier interviews
Arc
Scoring effort against impact
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
Illustrative. Durations vary with scope and stakeholder availability.
02How it works
Four core agents, each with one job, plus two that support them. No handover, no queue between them.
Setup
Scaffolds the project 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
Interview, analyse, synthesise, steer. Each one has a single job, and it starts the moment the one before it produces anything.
04Side by side
Same objective. A different mechanism for reaching it.
| Dimension | Discovery as it's done today | AgentOne |
|---|---|---|
| Scheduling | Calendar gymnastics with busy stakeholders | Async — stakeholders respond on their schedule |
| Capture | Notes and recall, written up after the fact | Every message stored, embedded and searchable |
| Analysis | Synthesis after fieldwork closes, months later | Real-time and incremental, as interviews arrive |
| Traceability | “I think someone mentioned…” | Every finding linked to its source transcript |
| Coverage | Whatever there was time to ask on the day | Blueprint-driven goals with coverage tracking |
| Speed | Months before the first deliverable | Continuous output from day one |
| Scale | Bounded by the calendar — interviews run one at a time | Scout runs many stakeholder conversations in parallel |
05What you get
Four fixed measures of the model itself — not a traction count, and checkable on any project.
Scout interviews, Lens analyses, Arc synthesises, Pulse answers — with Research and Forge supporting them.
Web voice, Microsoft Teams, phone and text chat — whichever they already have open.
Its own Google Cloud project, network and database. Nothing is shared between two projects.
Physical evidence, customer actions, frontstage, backstage, support processes, analytics.
06Working with AgentOne
You have a business to transform. We deploy AgentOne 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 project, never metered per interview.
Explore the enterprise modelYou sell discovery every week. Deploy AgentOne as your discovery engine — your client relationship, your methodology, your pricing — and run more projects at greater depth without growing headcount.
Explore the partner platform07Common questions
A traditional project sends a team to interview your stakeholders sequentially and write it up afterwards. AgentOne runs that fieldwork agentically — in parallel, analysed as it arrives, every finding linked to the sentence that evidenced it. The human role shifts from interviewer and note-taker to strategic director. Firms that sell discovery run AgentOne inside their own projects for exactly that reason.
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 project 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 project, 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 project on screen, and what Agentic Discovery would look like in your organisation.