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An ASX-listed medtech brings two AI agents into its ERP.

Manifest is deploying two ERP-integrated AI agents, connected to enterprise knowledge repositories, through a structured pilot with success criteria agreed before go-live.

ClientASX-listed medtech
Agents2, ERP-integrated
StageStructured pilot
95%+accuracy, agreed as a go-live criterion
Pilot success criteriaPilot in progress
we back ourselves to perform
2ERP-integrated AI agents
95%+accuracy, a go-live criterion
80%+end-to-end automation rate, a go-live criterion
01 · CHALLENGE

Manual reconciliation at high volume.

A business team processes a high volume of transactions through an ERP system. Manual reconciliation was creating bottlenecks, exception handling was taking disproportionate effort, and together they were holding back business agility.

exceptions taking disproportionate effort
02 · APPROACH

Two agents, connected to the ERP and the knowledge base.

Manifest is deploying two ERP-integrated AI agents, purpose-built for automation and connected to enterprise knowledge repositories. The work runs as a structured pilot, with go-live success criteria agreed up front.

AGENTSTwo, ERP-integratedPurpose-built for automation.
KNOWLEDGEConnectedTo enterprise knowledge repositories.
PILOTStructuredGo-live criteria agreed up front.
03 · OUTCOME

What the pilot needs to show.

The pilot must reach 95%+ accuracy and an 80%+ end-to-end automation rate before going live. More to come as the pilot progresses.

How we think about enterprise AI

Valuable. Accurate. Auditable.

It should just do the work correctly.

Navigating AI in a regulated industry?

If you're adopting AI in a regulated industry or a complex ERP environment, we'd love to hear what you're seeing.

Book a proof of value →
Agreed go-live criteria
Accuracy
95%+
Automation
80%+
we back ourselves to perform