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Ztream

AI automation service

Custom AI Integration Services

Our custom AI integration services connect your apps, APIs and legacy systems with AI in the middle, building the bespoke links that standard connectors cannot provide.

  • Businesses with systems that have no ready-made connector
  • Teams needing AI wired into bespoke or legacy software
  • Operations and product leads with complex data flows

The problem we fix

Where custom AI integration services pays off

Where time and leads leak

  • Off-the-shelf connectors do not cover your systems
  • Legacy software keeps useful data locked away
  • Existing integrations are brittle and poorly documented

What changes once it is automated

  • Systems connected that had no off-the-shelf option
  • Data freed from legacy tools and kept in sync
  • Robust integrations with logging and fallbacks

What we automate

What this service automates

  • Bespoke connectors between systems with no standard integration

  • AI placed in the data flow to read, classify and enrich

  • Two-way sync that keeps records consistent everywhere

  • Middleware that orchestrates several systems at once

  • Error handling, logging and alerts around each link

How it connects

Tools and systems we connect

  • Internal and legacy APIs
  • CRM, ERP and operational systems
  • Databases and data warehouses
  • Third-party SaaS tools
  • LLM and AI service providers
Example workflow
  1. Event in system A
  2. AI processes data
  3. Mapped to system B
  4. Confirmation logged
  5. Errors alerted

How delivery works

A clear, low-risk delivery process

  1. 1

    Systems and data review

    We study the systems involved, their APIs and the data that needs to move, including the constraints around each.

  2. 2

    Integration architecture

    We design a robust architecture with the right controls, error handling and place for AI in the flow.

  3. 3

    Build and harden

    We build the integration, add logging and fallbacks and test it against the cases most likely to break it.

  4. 4

    Maintain and adapt

    We monitor the integration and update it when an API or requirement changes, so it stays dependable.

Who it is for

Is this right for your business?

  • Businesses with systems that have no ready-made connector
  • Teams needing AI wired into bespoke or legacy software
  • Operations and product leads with complex data flows

Guide pricing

Bespoke integrations are scoped and fixed-priced per project, with ongoing maintenance on a support plan.

View pricing and packages

FAQs

Frequently asked questions

What makes an integration custom rather than standard?

A standard integration uses a ready-made connector between popular tools. A custom one is built specifically for your systems, usually because no connector exists or your data and rules are unique.

Can you connect AI to a legacy or in-house system?

In most cases yes. If the system exposes an API, or we can read its database safely, we can build a connector and place AI in the flow to enrich or act on the data.

How do you stop custom integrations from breaking?

We build in error handling, logging and fallbacks, and on a support plan we watch for API changes and update the integration before they cause problems.

Do you document the work for our team?

Yes. We hand over clear documentation of how each integration works, so your team or another developer can understand and maintain it later.

Find the 3 manual tasks costing your business the most

Book a free AI Workflow Leak Audit. We review where leads, time and follow-ups slip through the cracks, then show you the quickest practical win.

Free AI Workflow Audit