Professional Services
Proposals built from everything you have won. Delivery tracked in real time. Your people judge, they do not assemble.
Your margin is your people’s time. monō puts agents on the assembly work, proposals, research, status, resourcing, so fee-earning judgement goes to clients and confidential work stays inside your firm.
Where agents land
01
Pursuits & Proposals
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.
In production at a professional-services firm.
Replaces: Blank-page proposals, weekend deck-building
02
Knowledge & MethodsBeta
Frameworks, prior deliverables and methods become living knowledge agents can apply, so every engagement starts from the firm’s best thinking, not the nearest person’s memory.
Replaces: Tribal knowledge, reinventing frameworks
03
Engagement DeliveryBeta
Agents track workstreams, risks and deliverables across the engagement, draft the status report, and flag slippage before the steering committee does.
Replaces: Friday status scrambles, surprise overruns
04
ResourcingComing soon
Agents match people to engagements on skills, availability and development goals, and flag over- and under-utilisation before it hits margin or morale.
Replaces: Spreadsheet staffing, utilisation surprises
05
Relationship IntelligenceComing soon
Living profiles of every client and alum, history, warmth, who owns the relationship and what to do next, with outreach drafted in the partner’s voice.
Replaces: Forgotten alumni, cold follow-ups
06
Ask the FirmBeta
Ask anything across engagements, deliverables and clients. Get prioritised actions and the firm’s best prior thinking, not a folder to go searching in.
Replaces: Knowledge hunting, partner bottlenecks
Proof
Professional-services firm · pursuits
Proposals built from the firm’s best wins, in minutes.
A professional-services firm put agents on its pursuit process. Proposals now assemble from the win library, the right credentials, case studies and team, tailored to each brief. Partners refine and send instead of building decks on weekends.
Two ways to start. One platform underneath.
Stand up a ready-made set of agents and watch them work a real desk in weeks. You see value before you commit to scale.
Our engineers deploy inside your firm, on your infrastructure, and rebuild the operation around agents. One platform underneath both.
One platform, two ways in
Trust
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
Yes. Every project deepens the firm's playbook, and the next team starts from everything the last one learned. The expertise compounds instead of walking out the door.
Yes. monō runs inside your perimeter on your infrastructure. Confidential engagement material never leaves your environment.
Yes, your accounts, your negotiated rates, no markup on your tokens.
No. monō sits on top of the tools you already use and makes them work harder.
Weeks. A forward-deployed monō engineer starts you on one workflow, pursuits or delivery, and the rest follows once it has proven itself.
Materially less than running the same work through a frontier model raw. The architecture sends fewer tokens and routes volume to smaller models, with your own rates underneath.
Start with pursuits, or run the firm AI-native end to end. One platform underneath.
4 sectors, one platform, two ways to start.