Argbit
Enterprise integration

AI is only useful where the work already lives.

An AI system creates value when it can read the records, act on the platforms and respond to the events that make up an operation.

Argbit treats integration as first-class engineering: typed access paths, propagated identity, reversible writes and observability wired into the platform your engineers already use.

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System architectureEvents flowing
ingress
Events
Requests
gateway
Tool gatewayauthz + audit
systems
CRM / ERP
Warehouse
Documents
Internal APIs
telemetry
Traces & metrics
Reference architectureIdentity travels with every call; every write is auditable.
What we connect

Connect AI with your systems of record.

Integration surface

  • APIs
  • CRMs
  • ERP platforms
  • Data warehouses
  • Databases
  • Document systems
  • Messaging infrastructure
  • SaaS applications
  • Internal platforms
Integration engineering

The integration layer usually sets the timeline.

In most programmes the schedule is decided by identity, entitlements, event infrastructure and record systems — not by model work. We plan for that explicitly.

Access

  • Identity propagation
  • Entitlement mapping
  • Least-privilege tool scopes
  • Environment separation

Data

  • Retrieval pipelines
  • Document ingestion
  • Change data capture
  • Warehouse and lake reads

Actions

  • Idempotent writes
  • Approval gates
  • Reversal semantics
  • Audit records per action

Need AI inside systems that were never designed for it?

Tell us which platforms are involved. We will describe the integration surface, the permission model and the sequencing required.

Start a conversationNo AI theatre. Just engineering.