APIS, INTEGRATIONS & CONNECTORS

Connect AI with the systems you already use.

I build API integrations and connectors that give AI systems controlled access to the data and functions they need. This turns isolated models into useful components within websites, CRM systems, databases and operational software.

  • Connect existing systems instead of replacing them
  • Define read/write permissions explicitly
  • Build stable interfaces with logging and error handling
WHAT I CONNECT

APIs turn isolated tools into one working system.

Many AI projects fail because the model sits outside the systems where work actually happens. A well-designed integration layer connects the right data and actions without exposing more access than necessary.

Data sources

Databases, internal APIs, document stores, spreadsheets and structured business data can be made available through defined, testable interfaces.

Third-party services

CRM systems, email platforms, booking tools, payment providers and other services can be connected through their available APIs and webhooks.

Authentication & permissions

API keys, OAuth, service accounts, scopes and role-based controls are planned deliberately so integrations do not receive unnecessary access.

TYPICAL APPLICATIONS

Interfaces for useful AI applications.

The connector layer can support both visible AI applications and background automation. The same principle applies: data and actions are exposed through a controlled contract rather than improvised direct access.

Read & understand

  • Retrieve CRM or customer data
  • Search structured business information
  • Read availability, orders or project status
  • Combine data from several systems

Act & synchronise

  • Create or update records
  • Trigger workflows and notifications
  • Write approved results back to business systems
  • Synchronise selected data between services
TECHNICAL IMPLEMENTATION

Good integrations are boring in the best way.

Authentication, validation, rate limits, retries, timeouts and predictable error handling matter as much as the AI model. I design connectors so they can be operated and maintained as normal software components.

Step 01Define interfacesIdentify the exact data and actions the use case needs.
Step 02Secure accessChoose authentication, scopes and permissions.
Step 03Map & validateNormalise data and reject invalid or unsafe requests.
Step 04Monitor behaviourLog failures, usage and important system events.

An API is a boundary, not just a connection

A connector should make the allowed interaction explicit. Clear boundaries simplify testing, improve security and make it easier to replace individual services later without rebuilding the entire application.

Need to connect AI with an existing business system?

Tell me which systems are involved, what data needs to move and which actions should be possible. I will assess the API options, permissions and connector architecture needed for a reliable integration.

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