Data sources
Databases, internal APIs, document stores, spreadsheets and structured business data can be made available through defined, testable interfaces.
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.
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.
Databases, internal APIs, document stores, spreadsheets and structured business data can be made available through defined, testable interfaces.
CRM systems, email platforms, booking tools, payment providers and other services can be connected through their available APIs and webhooks.
API keys, OAuth, service accounts, scopes and role-based controls are planned deliberately so integrations do not receive unnecessary access.
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.
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.
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.
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.