Put AI into the tools you already run
We wire models, retrieval, and agents into CRM, support, calendars, and custom software — so AI shows up in the workflow, not as another login.
Integration first, model second
If it cannot read and write your systems safely, it is a demo.
CRM, helpdesk, calendar
HubSpot, Salesforce, Zoho, Freshdesk, Google Calendar, and the long tail of APIs your ops team actually uses.
Tool-use with guardrails
Allowlists, schema validation, idempotency, and audit logs on every write. Agents do not get a blank cheque.
Data in, actions out
Pull context at the start of a turn; push summaries, fields, and next steps when the turn ends.
Existing product, new brain
Embed a copilot or chatbot in the app you already shipped — we don't force a rewrite to add AI.
AI integration services, explained
How we add AI to software that already has users — without a six-month platform project.
The integration is the product
Most failed AI projects stall on permissions, messy data, and 'who is allowed to click send'. We map those constraints first, then attach the model. That is why our AI work sits next to web and app engineering instead of in a separate lab.
Typical first integrations
Lead qualification into the CRM, ticket drafts in the helpdesk, meeting notes into the calendar, and a staff copilot over internal docs. One slice, measured, then the next.
- CRM create/update with human confirm
- Helpdesk draft-and-send
- Calendar booking from chat or voice
- Internal search over existing files
AI Integration Services, answered
What CTOs ask before integrating AI.
Ready to plug AI into the stack you have?
Tell us the system of record and the job — we'll scope the first integration, not a rewrite.
Book a free consultation