FinSenseFINSENSEAFRICA

AI Integration & Engineering

Connect AI to the systems you already use.

We connect AI to core banking, EHR, CRM and ERP systems through secure pipelines, then harden it for production.

Take the AI readiness testDiscuss your team's needs

For technology teams taking AI from a demo to production

System integrationData pipelinesProduction hardening
From

AI tools beside your systems, fed by copy and paste

To

AI inside your everyday systems

What we offer

How we work
  1. Map the systems and the data each use case needs
  2. Build integrations and APIs to your standards
  3. Test end to end with your team
01

System Integration

AI inside core banking, EHR, CRM and ERP.

The challenge

AI tools that sit outside core systems create copy-paste work, data leaks and low adoption.

What you receive
  • System integrations and APIs
  • Integration documentation your team can own
  • End-to-end test results
The outcome

AI that works inside your everyday systems, not beside them.

  1. 01 / 03

    System Integration

    AI inside core banking, EHR, CRM and ERP.

    The challenge

    AI tools that sit outside core systems create copy-paste work, data leaks and low adoption.

    How we work
    1. Map the systems and the data each use case needs
    2. Build integrations and APIs to your standards
    3. Test end to end with your team
    What you receive
    • System integrations and APIs
    • Integration documentation your team can own
    • End-to-end test results
    The outcome

    AI that works inside your everyday systems, not beside them.

  2. 02 / 03

    Data Pipelines & Knowledge Bases

    The right data, governed, in the right place.

    The challenge

    AI is only as good as the data it can reach, and in most institutions that data is scattered and unmanaged.

    How we work
    1. Find and assess the data sources
    2. Build secure pipelines with access controls
    3. Load knowledge bases the AI can search
    What you receive
    • Secure data pipelines
    • Knowledge bases with access controls
    • Data lineage and quality checks
    The outcome

    AI answers built on data you trust and control.

  3. 03 / 03

    Production Engineering

    Hardened, monitored and supported.

    The challenge

    Prototypes break under real traffic, real data and real security reviews.

    How we work
    1. Harden for security and performance
    2. Set up monitoring and alerting
    3. Deploy, support and scale
    What you receive
    • Production deployment
    • Monitoring, alerting and runbooks
    • Ongoing support
    The outcome

    AI your operations can depend on.

How an engagement runs

Integrate, harden, then scale.

  1. Discover

    Systems, data and security requirements.

  2. Integrate

    APIs and pipelines built to your standards.

  3. Harden

    Security, performance and failure testing.

  4. Run

    Deploy, monitor and support in production.

More in Techset

Where this fits.

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Tell us which systems it has to work with.

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Take the AI readiness testDiscuss your team's needs