Human intent,
orchestrated by AI.
Governed end to end.
You set the intent. AI does the work — reading the request, drafting every document, pricing the job. A person signs off at every handoff. Speed, without giving up control.
- NDA-first
- Human sign-off at every step
- Full audit trail
[01 — How the work divides]
Three moves. People keep the two that matter.
WorkHub splits the work cleanly: people bring the intent and the judgement, AI carries the labour in between.
Declare the intent
Log the request and say what a good outcome looks like. That's your part — and it takes minutes, not days.
Orchestrate the work
A team of agents reads the documents, drafts every artifact, and prices the job — grounded in your own data.
Govern the outcome
Review, adjust, and approve at every handoff. Nothing goes to a client without a human sign-off.
[02 — The problem]
The slowest, most expensive part happens before the proposal is even written.
A busy testing lab fields hundreds of proposals a year, each taking days of manual assembly. Often the technical team doesn't even see a request until the commercial clock has already been running for days.
The work is skilled but repetitive — thousand-line pricing sheets, standards to cross-check, and a polished proposal to write under deadline. It's exactly the kind of work AI should carry.
[03 — The workflow]
One governed motion, from request to issued proposal.
Every step is automated. Every handoff is approved by a person.
- 01
Log the request
You capture the inbound request and declare what's needed.
- 02
AI reads the docs
Agents ingest and understand every source document.
- 03
Instant qualification
A qualification brief with gaps flagged — in minutes.
- 04
AI drafts the work
Test plan, pricing, and proposal, all drafted for you.
- 05
Review & approve
AI self-reviews; a person approves before it moves on.
- 06
Issue to the client
The finished proposal goes out through the right channel.
- 07
Learn from the result
Won or lost, the outcome improves the next one.
[04 — What it unlocks]
Move faster — without losing the thread.
Decisions you can explain
Transparent reasoning and an auditable path sit behind every draft, so you can always show your work.
Expert time, given back
AI absorbs the repetitive assembly, so your specialists spend their hours on judgement — not formatting.
Outcomes you can measure
At least half of proposal content is drafted by AI from day one, with the rest returned as expert time.
[05 — The outcomes]
Value, built in from day one.
Minutes
Request → qualification brief
from 1–5 days today
≥0%
Proposal content drafted by AI
from ~0% today
≥0%
Less manual drafting time
expert hours returned
0
Proposals validated end-to-end
calibration cohort
[06 — Trust & governance]
Governance isn't a setting. It's the product.
Speed only matters if you can stand behind the result. Every safeguard is built into the motion, not bolted on afterwards.
NDA-first
No request advances past declared intent without an executed NDA.
Human-in-the-loop
AI drafts every document; a person approves at every handoff.
Full audit trail
Every state change, approval, and AI generation is logged and retained.
Scoped access
Each role sees only its own governed slice of the data — never more.
[07 — Who it's for]
Built for the person who owns the request.
For operationally complex enterprises onboarded with guidance — not self-serve. Each role keeps its own responsibility and its own governed view of the data.
Business lead
Owns the client relationship, the opportunity summary, and follow-up.
Testing engineer
Owns the test plan; validates scope, methods, and the technical story.
Operations approver
Signs off on higher-value proposals above the escalation threshold.
Peer reviewer
A second technical check, drawn from a shared reviewer pool.
Delivery manager
Runs delivery once the work is won (read-only in the MVP).
[08 — Honest scope]
What's live today — and what's deliberately not, yet.
Live today
- Physical & functional testing, to start
- UK, US, and Germany legal entities
- Qualification brief, test plan, deterministic pricing, proposal, AI review
- Standard and escalated approval routing
Not yet
- Client self-service intake
- Other testing lines or business units
- Removing any human sign-off
- Automated regulatory certification
[09 — Questions]
The questions business teams actually ask.
It takes an inbound request and turns it into a finished, client-ready proposal. AI reads the documents, drafts every artifact, and prices the job — while a person reviews and approves at each step.
[ Delegated execution, governed ]