Government & Education
Briefings ready before the day starts. Budgets reconciled daily. Service that answers, inside your perimeter.
For years, nobody could answer “where does our data go?” with “nowhere.” monō can. It runs inside your environment, on your approved models, so institutions can adopt agentic AI without sending citizen or student data anywhere it shouldn’t be.
Where agents land
01
Agents assemble the daily brief from across the institution, decisions due, correspondence, media, risks, so the Secretary or Vice-Chancellor starts informed, not buried.
Built on the same chief-of-staff pattern in production at monō.
Replaces: Manual briefing packs, early-morning scrambles
02
Budgeting & AppropriationsBeta
Agents track spend against appropriation, model scenarios and draft the variance explanations, so finance teams answer questions in minutes, not budget-night weeks.
Replaces: Manual budget consolidation, slow variance analysis
03
Grants & AcquittalsBeta
Agents process applications against criteria, track milestones and chase acquittals, surfacing the exceptions and keeping the programme audit-ready.
Replaces: Manual grant assessment, acquittal backlogs
04
Citizen & Student ServicesComing soon
Agents handle routine enquiries from citizens or students end to end, grounded in policy, with the hard cases escalated to a human with the context already assembled.
Replaces: Queues, repetitive tier-1 enquiries
05
Research & Programme AdminComing soon
Agents take on the administrative load of research and programmes, reporting, compliance, coordination, so academics and programme staff spend their time on the work that matters.
Replaces: Administrative overload, reporting fatigue
06
Records & FOIComing soon
Agents search records, identify responsive documents, propose redactions against exemptions and assemble the release pack, keeping the institution inside its statutory timeframes.
Replaces: Manual record searches, missed FOI deadlines
Proof
Public institution · sovereignty
Agentic AI adopted without data leaving the perimeter.
An institution that had been unable to adopt commercial AI tools, because none could keep data in-jurisdiction, ran monō inside its own environment on approved models. The answer to “where does the data go?” was, finally, “nowhere.”
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
Nowhere. monō runs inside your perimeter on your approved models. We are inference-only and never hold your data, which is what makes adoption possible in regulated public institutions.
Yes. Institutional memory that outlasts the electoral cycle, every decision, every case, every cohort, remembered. Sovereign, inside your tenancy, never shared.
Yes, monō deploys into your cloud and region. Specific accreditations (IRAP, Essential Eight, residency) are confirmed in writing during procurement.
No. monō sits on top of the systems you already run and keeps the record where your mandate requires it.
Inside one office or one programme, with a forward-deployed monō engineer alongside your team. Agents are working in weeks, and the institution widens scope as confidence grows.
Your people, under your controls. Every action is governed, logged and auditable inside your perimeter, so accountability for service delivery stays with the institution.
Start with one office, or go AI-native across the institution. Sovereign, either way.
4 sectors, one platform, two ways to start.