Live
Agents running in production across Asia Pacific

AI agents that do
the actual work.

IIVPA designs, builds and runs autonomous agents for large organisations — reading documents, acting inside your systems, and asking a person when it matters.

IIVPA Agent Console — Claims operations 18,420 actions today
Agents
Claims intake 1,284
Policy servicing 1,655
Fraud screening 2,026
Broker comms 2,397
Reinsurance recon 2,768
Claim HK-20931 Marine cargo · Broker submission Working
Inbox Broker email received
3 attachments · claim ref HK-20931
Read Policy schedule parsed
42 pages · 18 fields extracted with citations
Check Coverage verified in core system
Policy active · deductible HK$5,000
Reason Mismatch on declared value
Invoice HK$182,400 vs schedule HK$150,000
Route Escalated for approval
Above HK$25,000 authority limit
Act Settlement letter sent to broker
Approved by M. Chan · 14:02
Log Case closed, audit trail sealed
27 actions recorded
Needs your decision
Approve settlement offer
Agent recommends settling at the scheduled value of HK$150,000 and has drafted the letter to the broker.
Confidence0.94
Evidence4 documents
Every step is logged with its inputs, reasoning and the person who signed off.
Built for organisations where mistakes are expensive
BankingInsuranceLogisticsHealthcarePublic sectorReal estateRetailEnergyBankingInsuranceLogisticsHealthcarePublic sectorReal estateRetailEnergy

MostAItalks.Oursdoesthework—reading,decidingandactingacrossyoursystems,andaskingapersonwhenitmatters.

Capabilities

Everything an agent needs to be trusted with real work.

Reads anything you send it.

Contracts, invoices, scanned forms, emails in three languages. Fields are extracted with the source line attached, so every answer can be checked.

supplier_agreement_v7.pdf · p.12
Counterparty Kowloon Freight Ltd. cited
Term 36 months cited
Payment terms Net 45 cited
Liability cap HK$12,000,000 cited
Governing law Hong Kong SAR cited

Acts inside your systems.

Not a chat window on the side. Agents create, update and reconcile records where your teams already work.

SAP
Salesforce
ServiceNow
Workday
Oracle
SharePoint
Outlook
Teams

People approve what matters.

You set the thresholds. Above them, the agent prepares the decision and waits.

Payments over HK$25,000
New vendor onboarding
Customer-facing replies

Every action on the record.

A complete, tamper-evident trail your auditors can read.

14:02agent.read invoice_4471.pdf
14:03agent.match PO-88213
14:04agent.post SAP FB60 doc 5100293
14:05human.approve M. Chan

Agents that work as a team.

Specialists hand work to each other — intake, analysis, action — with one coordinator keeping score.

I Intake
A Analyst
Action
Solutions

An agent for every desk.

Close the books without the chase.

Invoices are read, matched to purchase orders and receipts, and posted to the ledger. Only genuine exceptions reach your controllers — with the evidence attached.

3-way
match, automated
Day 2
month-end close
01
Invoice arrives
Email, portal or EDI
02
Matched to PO and receipt
Matching agent
03
Posted to ERP
Action agent · SAP
04
Exceptions to controller
Human decision
How we deploy

First agent in production in four weeks.

No pilot purgatory. One workflow, end to end, on real data — then we widen it.

WEEK 1

Map the real work.

We sit with the people doing the job and write down what actually happens — including the spreadsheet nobody mentions.

WEEKS 2–3

Build one agent, properly.

Connected to your systems, with guardrails, approvals and evaluation sets agreed with your risk team.

WEEK 4

Go live, then widen.

In production on real volume. Then the neighbouring workflows — and a full handover to your team.

Your cloud.
Your data.
Your agents.

Runs in your tenancy
AWS, Azure, Google Cloud or on-premise. Data never leaves your perimeter.
Model-agnostic
Use the best model for each task, and switch without rebuilding.
You own the code
No proprietary runtime, no per-seat licence. Everything is handed over.
Governed by default
Role-based access, PII redaction and evaluation gates before every release.

Questions, answered honestly.

Production AI agents for large organisations: agents that read documents, make bounded decisions and take actions inside your existing systems — plus the orchestration, approvals and audit layer that makes them safe to run.

No. A chat interface is optional. Our agents work in the background on real queues — claims, invoices, requests, filings — and surface to people only when a decision is needed.

Nowhere new. Agents are deployed in your own cloud tenancy or on-premise, and connect to models through your approved endpoints.

Yes. Code, infrastructure definitions, prompts, evaluation sets and documentation are transferred to you. No proprietary runtime, no per-seat licence.

Typically four weeks from the first session to an agent running on real volume for one workflow, end to end.

Which work should your agents take on first?

Bring one process. In a 90-minute session we’ll map it, show you what an agent would do, and tell you what it costs.