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Ami Handover

Checks each unit's handover conditions — paperwork, payment stage, inspection — and shows exactly where it is stuck.

A unit that misses its handover date is usually missing exactly one thing, and nobody has the whole picture. The agent checks every handover condition per unit and shows precisely which unit is stuck at which step.

Job in hand — here is what the agent does

You handed it over once, above. From there the agent watches the data, runs when a business event happens, does the part you delegated and brings the rest back with its evidence. This is what it has done — and what is still waiting for you.

Ami HandoverProject & Portfolio – PM/PPMOn dutyNo office hours · no days off

Done by the agent — nobody had to ask

  1. Reviewed legal paperwork status per unit
  2. Compared payment progress against the schedule
  3. Read the signed acceptance records
  4. Listed the snags still outstanding
  5. Ranked units by handover readiness

Waiting on you

  1. Three units with snags still unresolvedfor you to review
  2. Handover of a unit short one instalmentfor you to approve
Agent handled 5 · you decide 2Open within your permissions
Ami HandoverON REQUEST

Which units are ready to hand over this week?

Most are ready; three units still carry snags and one is short of an instalment.

Schedule handover for the units that are ready; the shortfalls leave for me.

Scheduled handover for units with complete paperwork, full payment and no snags outstanding.

Handing over a unit short one instalment is outside what you delegated — waiting for your approval.

What is holding up the three with snags?

All three are held by the same group of finishing items, from the same subcontractor. I merged them into one work request instead of three separate ones.

Audit log · Ami Handover · delegated by Head of Handover

The figures in this example are illustrative. In production the agent creates no numbers — it reads and reorders what your system already holds.

  1. Reads inside your permissions
  2. Acts only where you delegated
  3. Every action leaves a trace

Where you meet the agent

  • Right inside the module screenSuggestions appear beside the document you already have open, not in a separate app.
  • Ask Ami in plain wordsType or speak, in the same language you already use across the system.
  • Runs by itself when there is workFires on a business event and brings the work to you, instead of waiting for you to remember.

Where the agent gets its data

The agent has no data store of its own, syncs nothing outward and keeps no copy. It reads directly on the permissioned data layer the module already runs on — within the exact rights of whoever called it.

The usual way
AI sitting outside the system
A copy has to be built
  • Data leaves the company
  • Permissions get rebuilt a second time — and can drift
  • Figures lag behind the sync cycle
The Apus wayNothing sits in between — no copy to protect, to synchronise, or to re-permission.
Ami HandoverStanding on the data layer itself
Permissioned data layer · Project & Portfolio – PM/PPM
  • Status and legal file per unit
  • Payment progress by instalment
  • Inspection reports and snag lists
Because it stands inside, the agent sees exactly what the calling account may see — not one row more.

And where does the AI model run?

Tasks that touch sensitive dataRun on Internal AI · Local LLM, inside your own infrastructure
Tasks that touch no sensitive dataUse External AI · External LLM, where reasoning power is highest

The diagram above is about where the DATA sits; this is about where the MODEL runs — two different things. Routing follows data sensitivity automatically; you do not pick per task.

See the hybrid AI model

What this agent does not do

  • It grants itself nothing.The agent pre-fills forms and can write to the system — but only within what you delegated; beyond that it stops at a suggestion.
  • There is no data shortcut.The agent sees exactly what the calling account may see — no private connection of its own.
  • It never acts anonymously.The log records which agent acted, under whose delegation and who approved — accountability stays with people.

How to switch this agent on

  1. Your company needs to be running the Project & Portfolio – PM/PPM module — the agent reads that module's own data.
  2. No separate permission setup: the agent's rights are the rights of whoever calls it.
  3. Switched on and tuned during rollout, following your existing approval flow.

The exact scope and the order modules are switched on get settled in the demo, against your current setup.

Questions people usually ask

Can the agent change data on its own initiative?+

Not on its own initiative — but it does more than read. The agent pre-fills forms and writes to the system within exactly the scope you delegated to it; anything beyond that stops at a suggestion and waits for someone with authority. Either route, every action lands in the audit log.

What if the agent suggests the wrong thing?+

Every suggestion carries its evidence: which document, which line, and why. The reviewer edits or rejects it before anything is written — and both of those actions leave an audit trail too.

How is this different from a chatbot?+

A chatbot only answers when asked. An agent also takes a job you hand over once, then watches the data on its own, runs when a business event fires, and reports back — that is the half a chatbot never does.

How is this different from an automation flow?+

An automation flow runs the steps it was configured with. An agent reads business data, ranks it by situation and picks what needs doing — within exactly the scope you delegated, and anything needing approval still goes through your existing approver.

Does data leave the company?+

Tasks that touch sensitive data run on Internal AI placed inside your own infrastructure; only non-sensitive tasks use an external model. Routing follows the sensitivity of the data automatically.

See the agents run on your own data.

Book a demo scoped to the modules and industry you actually need.

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