Pursuits & Proposals
A proposal built from everything you’ve won before.
Agents assemble the proposal from your win library, credentials, case studies, pricing, the right team, tailored to the brief. Partners refine instead of starting from a blank page.
Replaces: Blank-page proposals, weekend deck-building
How it works
Pursuits & Proposals, end to end.
01
Connect
Connect your past proposals, case studies and credentials. Agents learn what wins for you.
02
The agents work
Brief the pursuit. The agent assembles a first draft from your best prior work.
03
You stay in control
Your team sharpens and owns it. The weekend deck-build is gone.
Shipped, on real work
In production at a professional-services firm.
Trust & governance
Run it under control.
Governed. Measured. And you can see exactly what it costs.
monō does the same work for a fraction of the spend. It only sends the AI what it actually needs to answer, not the whole history. So a typical task can use up to 70% fewer tokens than running an agent the standard way. Routine, high-volume work runs on cheaper models; the hard calls go to the best models available. And for the work you do most, we tune smaller, faster models built for the job.
You see the cost per agent, in plain numbers.
Governance
Every agent runs under policy. Every action logged, reproducible and reviewable.
Eval & monitoring
Every output scored against your standard before it ships. Drift caught early.
Cost & efficiency
Far fewer tokens than running an agent raw, and the right model for each job.
The pack your risk team will ask for.
Deployed in your cloud. Inference-only, your data is never training data. ISO 27001 certified. The controls map, data-flow diagrams and sub-processor list.
PDF · 4 pages
Pursuits & Proposals, asked and answered.
Will it sound like us, or like a template?
Like you. It builds from your own winning proposals and credentials, so the draft carries your method and your voice, not a generic shell.
How fast is a first draft?
Same day. The agent assembles a structured first draft from your best prior work, so the team starts editing, not staring at a blank page.
Where does our data live, and can we use our own model accounts?
Inside your cloud or tenancy. monō is inference-only, your data never trains anyone's models and never leaves your control. Bring your own API keys: your accounts, your rates, zero markup.
One platform, two ways in
Where this runs.
Put Pursuits & Proposals to work.
See it on your own data, or start with the Revenue collection.