HUMAN-APPROVED AI OPERATIONS

OpSphere AI agents completereal-estate operations withapproval, audit, and control.

Every agent runs inside your tenant, role, module, document, and audit model. Agents can draft, classify, reconcile, route, schedule, and prepare approvals — while regulated and financial actions stay human-approved.

ADD-ON — PREVIEWDRY-RUN MODE · APPROVAL-FIRST

ENCRYPTED IN TRANSIT & AT REST · AI NEVER WRITES TO TRUST OR ACCOUNTING RECORDS

BUILT FOR — OPERATIONS LEADERS WHO WANT AI WITH CONTROLS

HUMAN-APPROVED, DRY-RUN MODE

Illustrative product data

THE FAILURE MODES

What breaks without it

01

AI tools act before anyone reviews

Generic AI bolt-ons write to your records on their own say-so. In regulated workflows, that is a liability generator.

02

No record of what the AI did

When an auditor or a managing broker asks why a change happened, “the AI did it” with no trail is not an answer.

03

Every module gets its own disconnected AI

Point tools bolt AI onto one silo at a time — none of them see the deal, the project, and the office together.

SYSTEM CAPABILITIES

Inside AI Intelligence

Agent registry

Every agent and every typed tool is registered before it can run — no anonymous automation anywhere in the platform.

  • Registered agents with defined scopes
  • Typed tool registry
  • Per-module agents arrive through the registry

Human approval queue

Consequential agent output waits for a person. Approve, reject, or resolve — with the decision recorded.

  • Approval required on gated runs
  • Admin-gated approve / reject
  • Decisions land in the record

Immutable run ledger

Every run is recorded — inputs, outputs, tools called, and the decision trail. Terminal runs cannot be rewritten.

  • Run-by-run ledger
  • Inputs & outputs snapshotted
  • Terminal records immutable

Dry-run mode, by design

The preview runs dry: agents draft, summarize, and flag — they do not write to live records, and they never touch accounting or trust data.

  • Dry-run default in preview
  • No AI writes to accounting or trust records
  • Live actions only behind approvals

How we mitigate AI errors

AI can be wrong — we design for that instead of pretending otherwise. Nothing consequential happens until a person clicks approve, and every run is inspectable after the fact.

  • Approval-first: a human clicks approve before consequential output lands
  • Agents draft from your tenant’s own records — retrieval is tenant-scoped, never cross-tenant
  • Dry-run mode lets you evaluate output with zero writes to live records
  • The immutable run ledger makes every draft traceable to its inputs
  • AI never writes to trust or accounting records, by standing policy

What arrives next

Live model providers, per-module task agents, worker queues, and cost tracking are staged behind the same controls — none of it ships without the ledger and the queue.

  • Live providers (staged)
  • Per-module task agents (staged)
  • Cost tracking (staged)

The autonomy ladder

Five autonomy levels, policy-gated per workflow. The preview runs in dry-run / advise mode today; full autonomy is policy-gated and off by default.

  • Observe
  • Advise
  • Act with approval
  • Limited autonomy
  • Full autonomy by policy

OPERATING SEQUENCE

Request to record, with a human gate

  1. STEP 01

    Request

    A user or module asks a registered agent for work

  2. STEP 02

    Dry run

    The agent drafts output — no live records touched

  3. STEP 03

    Queue

    Gated output waits in the human approval queue

  4. STEP 04

    Decision

    An authorized person approves or rejects, on the record

  5. STEP 05

    Ledger

    The full run — inputs, tools, outcome — is preserved immutably

HUMAN-APPROVED

Dry-run first. Approvals always.

OpSphere agents do not autonomously release trust funds, close deals, submit FINTRAC reports, approve change orders, release lien holdbacks, issue legal notices, or deny warranty coverage. They prepare the work and route it to the right human for approval. The AI control plane is built for regulated operations: registered agents, an approval queue in front of consequential output, an immutable run ledger behind every action, and a standing policy that AI never writes to accounting or trust records. It previews in dry-run mode so your team can evaluate it without risk to live data.

Dry-run mode in previewON RECORD
Human approval queueON RECORD
Immutable run ledgerON RECORD
Regulated actions always human-approvedON RECORD

COMMERCIALS

Add-on — preview

AI Intelligence is an add-on in preview, running human-approved and dry-run. It is not sold standalone — preview access is scoped with your plan at demo.

  • Agent & tool registry
  • Human approval queue
  • Immutable run ledger
  • Dry-run evaluation mode

Preview the approval queue.

A demo runs on your workflows, not a canned script. Thirty minutes, your scenarios.