AI integration that works with the tools you already have
AI is only useful once it can read and write where your work actually lives. I connect it to your existing tools, carefully, so nobody has to change how they work.
What integration means here
A chat window on its own can't do much of your work. It can't see your client list, your pipeline or last week's numbers. Integration is connecting AI to those places, so it reads what a person would read and puts its work where a person would look.
Don't make the team move
The fastest way to kill an AI project is to ask everyone to change tools first. I build around how your team already works.
At a 25-person marketing agency, two teams worked in different systems: one in spreadsheets, one in a database tool. I didn't move anyone. The client dashboard syncs every hour from the sheets the team already uses, and the team's AI workspace connects to both the sheets and the database.
Integrations that fail safely
Connections break. Data comes back wrong. A good integration expects that.
- Keep the last good version. If the agency's dashboard sync reads bad data, it keeps the last good version instead of overwriting it.
- Only the access it needs. An AI that drafts emails gets permission to create drafts and nothing else.
- Keys stay out of chat. API keys get saved safely and never pasted into a conversation.
- Each person sees their own. On the agency's dashboard, each client sees only their own work.
What's included
- Mapping where the inputs for one process live, and which source wins when two disagree.
- Connecting AI to those sources, with the least access that does the job.
- Testing on one real project, with your team checking the output.
- Training your team to run it and fix the common problems themselves.
Which tools
I work with ChatGPT, Claude, Gemini, Copilot or whatever you already pay for, plus the sheets, inboxes, calendars and databases your work lives in.
Common questions
What are AI integration services?
Connecting AI to the systems your team already uses, so it can read the information it needs and put its work where people will see it.
Do we have to change tools?
No. I build around the tools you already use.
What happens if an integration breaks?
It should fail safely. For example, a sync that reads bad data keeps the last good version instead of overwriting it.
Is it safe to connect AI to our data?
It can be, if the AI only gets the access it needs and keys are handled properly. That's part of the build, not an afterthought.