AI Integration with Existing Systems
Connect AI to the systems where
work happens.
Integrate AI into CRMs, ERPs, helpdesks, databases, document systems, internal tools, communication platforms, and legacy software — safely and with proper data flows.
Overview
What we deliver.
AI creates value when it reaches the systems where work happens. We connect AI workflows to CRMs, ERPs, helpdesks, databases, data warehouses, communication platforms, document stores, payment systems, and legacy applications — with the APIs, webhooks, authentication, and data flows designed properly.
Why PROSYS
Outcome-Focused
Every deliverable tied to a business outcome
Enterprise Security
Built to SOC 2 control objectives, encrypted by default
Predictable Delivery
Iterative releases with transparent reporting
Production-Grade
Tested, documented, deployed to production
Methodology
How we deliver.
Integration Architecture
Design how AI connects to each system, what it reads, and what it can write back.
API & Webhook Implementation
Build the API and webhook layer that connects AI to operational tools.
Auth & Permissions
Design authentication and authorization so AI access is scoped and safe.
Data Flow Documentation
Document data flows so the integration is understandable and maintainable.
Legacy Wrappers
Wrap legacy systems that lack clean APIs so AI can integrate safely.
Operational Handoff
Hand off with event-driven workflow logic and documentation.
Technology Stack
Our AI Integration with Existing Systems toolkit
Hand-picked tools and frameworks we use to ship production-grade ai integration with existing systems projects.
PostgreSQLBusiness Outcomes
What you get with every engagement.
Beyond the deliverable — measurable business impact, clean handoffs, and a partnership built to scale with you.
Case Study
AI Assistant Connected to a CRM
The Challenge
A team's AI pilot was disconnected from operational tools, so it could not read or update the CRM that the business actually ran on.
The Result
Built an integration layer with API and webhook architecture, scoped authentication, and documented data flows, letting the AI assistant read and update CRM records safely.
FAQ
Common questions.
Can AI write back to our systems, not just read?
Yes. We design safe read and write access with scoped authentication and permissions, and add human approval gates where actions are sensitive.
We have legacy software without good APIs. Can you integrate it?
Often, yes. We build legacy system wrappers and event-driven workflow logic so AI can integrate even where clean APIs do not exist.
How do you keep integrations maintainable?
We document the integration architecture and data flows and hand off so your team can understand, operate, and extend what we build.
Next Steps
Ready to start your ai integration with existing systems project?
Let's discuss your requirements and build a detailed proposal.