AI integration that fits the systems you already run.
A model on its own changes very little. We connect AI to the CRM, ERP, databases, document stores and APIs where your work happens — handling identity, data access, latency, logging and what happens when the model or a downstream system is unavailable.
- Integration architecture
- Connectors and APIs
- Identity and access controls
- Model gateway
- Logging and fallback behavior
Where this helps
What we deliver
How it works
- 01
Map the systems
We document the systems involved, their APIs, authentication methods, rate limits and data ownership.
- 02
Design the integration
Data flows, identity model, error handling and latency budgets are agreed with your platform and security teams.
- 03
Build and test
Connectors and the AI layer are built with contract tests and tested against sandbox or staging versions of each system.
- 04
Harden for production
Load testing, failure injection and security review before real data and users are involved.
- 05
Release and monitor
Gradual rollout with dashboards for errors, latency and usage, and alerts routed to the right team.
Design decisions we make with you
Where AI is embedded
Inside an existing app, as a sidebar, as a background job, or as an API other teams call — each has different latency and UX tradeoffs.
Read versus write access
Starting read-only and adding write actions later, behind approval steps, keeps early risk low.
Sync or async
Real-time calls where a user is waiting; queued processing for bulk work, where it is cheaper and more resilient.
Middleware and standards
We use your existing integration platform or event bus where one exists, and open protocols such as the Model Context Protocol where they help.
Data boundaries
What leaves your network, what is redacted before it reaches a model, and what is retained in logs.
Applications
Related capabilities
- Workflow AutomationMove multi-step back-office work between systems automatically, with approvals where they matter and a record of every step.
- Document IntelligenceClassify, extract, check and route incoming documents, with people reviewing the exceptions.
- Sales & Marketing AssistantsResearch accounts, draft tailored outreach and review content against brand rules, with reps and marketers approving everything that goes out.
- AI AgentsAgents that take approved actions across your tools, with permissions, review points and monitoring built in.
- AI Workflow AutomationAdd AI judgment — reading, classifying, deciding within limits — to multi-step processes, with rules where rules work and people where judgment matters.
- Enterprise & Private AIAI deployed with the data isolation, access control and operational ownership your security and compliance teams require.
- RAG & Enterprise Knowledge SystemsAnswers drawn from your own documents and data, with sources shown, permissions respected and content kept current.
Questions buyers ask
Usually. If a system has an API, a database or even file exports, we can connect to it. Where older systems need work first, our modernization team can help.
Least-privilege access, redaction before model calls where needed, encrypted transport, and logging of every call. Deployment options are covered on Enterprise & Private AI.
The model gateway can fail over to another provider or model, queue work for later, or switch the workflow to a manual mode — whichever you choose in advance.
No. We work with your existing middleware and APIs where possible and add only what the AI layer needs. General API work is covered by our backend & API team.
Discuss this capability with an engineer.
Tell us about the workflow or product. We reply with questions, a suggested first step and who would work on it.