Parix.ai provides AI integration services that build and connect the AI inside Gmail, your CRM, your store or your database.
Right now it’s working inside Gmail
No new platform to learn. We put AI inside your existing systems, so the work moves on its own and your team stays in control.
Our AI integration services connect the model to your systems, not the other way round. Most projects are one of these six, or a mix of two.
AI API integration services that connect OpenAI, Anthropic or Google models to your systems through their APIs, with keys kept on the server, rate limits handled and every call logged.
Our generative AI integration services write drafts, summaries and replies inside the tools your team already uses, in your tone, and a person approves them before anything goes out.
AI that reads emails, forms and calls and keeps the CRM current: new leads enriched, deals updated and follow-ups drafted for a person to send.
Answers drawn from your own documents, playbooks and records. Every answer cites its source, and access is scoped to what each person is allowed to see.
AI features inside your own product, like smart search, assistants and auto-fill, with usage limits and cost tracking per customer. Pairs with our SaaS product development and mobile app development work.
Custom AI integration services for older systems, unusual data or multi-step work: connectors, agents and approval flows built to fit. When the whole process should run on its own, see AI workflow automation.
Tap one to see what it looks like when it’s running.
Where is order #1042?
It shipped on Tuesday and is due tomorrow. Here’s the tracking link.
Can I change the address?
Answers from your own data · hands over to a person when needed
Three fields found and written to Xero
Numbers out of PDFs and forms, checked before they land
Written in your tone, nothing sent without a person
Built from the data you already collect
What’s our discount policy for 3-year deals?
Scoped access only, and every answer cites its source
Runs every morning before your team logs in
Every integration we build follows the same path. The AI does the reading and drafting in the middle; your tools stay at both ends, and a person signs off on anything that matters.
Email, CRM, helpdesk, store or database. Nothing replaced.
Only the records this task needs, plus your rules.
Reads, extracts, classifies and drafts.
Output checked against your data and rules.
Anything unusual waits for a yes from your team.
Written back to the tool, and logged.
What comes out the other end
A general model knows the internet. It does not know your pricing, your policies or last month’s proposals. RAG (retrieval-augmented generation) finds the right passages in your own files first, then answers from them.
Thirty minutes with the people who would build it. You leave with a plan of what connects to what, and a fixed price follows.
A demo only has to work once. An integration has to work every day, on messy data, without anyone watching. These are the parts that make the difference.
Each workflow gets only the access it needs, in accounts you own.
The AI returns fields your systems can read, not free text to copy out.
Totals, IDs and dates checked against your data before anything is written.
Timeouts and rate limits are retried calmly instead of failing silently.
The same email or order is never processed twice, even if it arrives twice.
Every run is recorded, so you can check what happened and why.
Usage limits and the right-sized model per step, so the bill stays predictable.
Anything below its confidence threshold goes to a person, with the reasoning attached.
4 hoursof work nobody wanted to do
15 minutesof approvals, and the rest is done
If it has an API or a login, we can usually connect it.
Not on the list? Ask us about your tool
You see working software every week, and you approve the price before anything starts.
We map what happens today and where the hours go.
A clear plan and one number. You approve it before we start.
You see it running on a live link, every week.
Checked against real examples from your systems, with anything uncertain routed to a person.
Switched on one workflow at a time, with an audit log, scoped access and a kill switch.
Docs, training, and you own the code and the keys.
Every project is quoted as one fixed price after a free call. No hourly billing, no surprise invoices.
A single bottleneck, connected end to end. The fastest way to see if this works for you.
Several systems talking to each other, with the AI doing the reading, matching and drafting.
For teams who keep finding new work worth automating, and want the same people each time.
Want a number before you talk to anyone? Try the free AI integration cost estimator.
We would rather say no early than sell you something that doesn’t fit.
If that’s you, we’ll tell you on the call, and often point you at a free tool instead.
As an AI integration company, we build around the business you already have. These are the choices we make on every project.
We start from the tools you already pay for and connect AI to them. Your team keeps the screens they know.
OpenAI, Anthropic, Google or the AI already in your CRM, chosen per task rather than per contract, and built so the model can be changed later.
Anything below its confidence threshold goes to a person, with the reasoning attached. Nothing important happens silently.
How it works, how to change it, and what to do if it stops, written down for your team.
If a settings change in your current tool would fix it, we’ll say so, and often point you at a free tool instead.
We design around the hours and errors your team wants gone, then choose the technology, with a fixed price agreed before any work.
No lock-in, no black box, nothing that only we can touch.
The automation systems Parix.ai built transformed our internal operations. Everything feels faster, cleaner, and more scalable.
It depends on how many systems are involved and how much judgement the work needs. After one discovery session and a short design phase you get a fixed quote, and you approve it before anything starts. You can also estimate it yourself or read our cost guide.
No. That is the point of an integration: the AI works inside Gmail, Slack, your CRM or your database. Your team keeps the screens they know.
Only what a workflow needs. Credentials are scoped to the exact systems and records it uses, every run is logged, and you can stop any workflow yourself.
Anything below its confidence threshold goes to a person on your team, with the full reasoning attached. Nothing important happens silently.
You do. At handover you get the code, the keys, the documentation and training, and it all runs on standard tools your own developers can pick up.
OpenAI’s models (the ones behind ChatGPT), Anthropic’s Claude, Google’s Gemini, and the AI already built into tools like HubSpot or Salesforce. We choose per task on quality, cost and where your data is allowed to go, and build it so the model can be changed later.
Yes. With retrieval-augmented generation (RAG), the AI searches your documents, wiki or CRM first and answers from what it finds, showing the source. Access is scoped so people only get answers from what they are allowed to see, and questions it can’t answer well go to a person.
Thirty minutes with the people who would build it. We reply within one working day.
or email hello@parix.ai
