Enterprise AI Integration

Wiring AI into the systems you already run, without breaking them

The unglamorous half of every AI programme: CRM, ERP, core banking, identity and the interface nobody wants to touch.

  • Salesforce, Dynamics, SAP
  • SAML, OIDC, SCIM, SSO
  • SOAP, AS2, MQ, mainframe
  1. Data contract Agreed with the owner, versioned, not inferred
  2. Identity and entitlement The user's permissions, propagated every hop
  3. Pattern per flow Synchronous, event or batch — one per flow
  4. Idempotent write Keys, retries with jitter, dead-letter replay
  5. Reconciliation Daily exception report with a named owner
Every AI write is a production integration: a contract, an identity, an error path and a daily reconciliation.

The method

A well-behaved system among your other systems

An AI service that writes to your CRM carries every obligation any other consumer does: a versioned contract, an owner, a rate budget, an error path and an audit trail. We build to the standard your platform team applies, so the security architect signs it.

  • Contracts agreed with system owners, not sampled
  • Idempotent writes and end-of-day reconciliation
  • Security review starts in week one, not at go-live

Delivery

Exactly once

The guarantee no distributed integration has. Idempotency keys get you there anyway.

Review

4–10 weeks

Typical enterprise security and architecture review — hence week one

Records

CRM, ERP and the cores that stay

Where a modern API exists we use it and respect its limits. Where the route is a queue, an ISO 20022 message or a nightly extract, we design around the latency and say so up front.

  • Salesforce
  • Dynamics 365
  • SAP
  • Oracle

Identity

Who is asking, and what may they see

Retrieval and agent tools inherit the user's permissions or they become a data leak with a chat interface. Entitlements are enforced at the data layer, never in the prompt.

  • SAML 2.0
  • OIDC
  • SCIM
  • Entra ID

Legacy

SOAP, flat files and the mainframe

We prefer an ODBC or MQ route to anything screen-based. RPA is a last resort with a written retirement plan, because a bot driving a screen breaks on the next vendor update.

  • SOAP / WSDL
  • AS2 / EDI
  • IBM MQ
  • CICS / DB2

CRM and ERP

  • Salesforce
  • Dynamics 365
  • SAP S/4HANA
  • Oracle Fusion
  • HubSpot

Financial systems

  • core banking APIs
  • ISO 20022
  • SWIFT
  • ACORD

Identity

  • Entra ID
  • Okta
  • Keycloak
  • SAML
  • OIDC / SCIM

Integration

  • Kafka
  • Azure Service Bus
  • MuleSoft
  • Logic Apps
  • IBM MQ

Legacy

  • SOAP / WSDL
  • SFTP
  • AS2 / EDI
  • CICS / DB2
  • ODBC / JDBC

Who we do this for

  • Banks and payment providers
  • Insurers and brokers
  • Government and public sector
  • Healthcare providers and payers
  • Large legacy estates

Three ways in. Stop after any of them.

3–4 weeks

Integration assessment

System-by-system audit of interfaces, data quality, volumes, rate limits and ownership.

Per-flow architecture, data contracts, risk register, sequenced plan

8–20 weeks

Connector build and go-live

Build, harden and certify the agreed flows through security review, cutover and hypercare.

Production connectors, reconciliation jobs, security evidence pack, cutover plan

Ongoing

Integration ownership

We hold the connectors under an SLA, including vendor API upgrades and quota management.

Monitoring, exception triage, daily exception report, joint change management

Questions

iPaaS where the flow is standard, low-volume and the platform is already licensed and staffed — MuleSoft or Logic Apps will beat hand-written code on time to value. Custom where volume is high, the transformation is complex, or per-message pricing is absurd at your throughput. Most estates end up with both.

Usually, but it changes what you can promise the business. If the only route is a nightly extract, the assistant can tell a customer what was true this morning and cannot confirm a payment made an hour ago, so we design around that. RPA is a last resort with a written retirement plan.

When the systems on the other side have no owner. If nobody can say which of three customer records is authoritative, or the vendor contract forbids API access, integration will stall whoever engineers it. It is also premature if the use case is undecided — connectors built for a moving target are rework.

Talk to someone who has built this

Send us the constraint you are actually up against — budget, latency, regulator, deadline.