Engagement DeliveryBeta
Status that keeps itself current.
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
How it works
Engagement Delivery, end to end.
01
Connect
Connect your project tools, time and comms. Agents sense progress from the work itself.
02
The agents work
Agents flag scope drift and overrun risk early, with the evidence attached.
03
You stay in control
Your engagement leads decide. The Friday status scramble disappears.
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
Engagement Delivery, asked and answered.
Does the team have to update another tool?
No. Agents read the tools you already use and keep status current from the work, so nobody fills in a tracker on Friday afternoon.
What does it flag?
Scope drift, overrun risk and slipping milestones, early and with the evidence, so the engagement lead acts before Friday.
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 Engagement Delivery to work.
See it on your own data, or start with the Executive Intelligence collection.