Integration

AI in the tools you already use

No new platform, no migration project. We wire AI into your email, CRM, spreadsheets, and chat — triggered by the events that matter to your operation.

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No new interface to learn

The fastest way to kill an automation is to make people log into yet another tool. So we do not. We connect AI to the systems your team already lives in. It reads the email that arrives, updates the CRM record, writes back to the spreadsheet, and posts the right message in the chat channel your team watches.

To the people using it, nothing changes about how they work — the work just gets done around them.

Integration map — active connections
Email
Reading + classifying inbound
Live
CRM
Auto-updating contact records
Live
Chat
Alert routing to ops channel
Live

What's included

Every AI integration ships with these

Multi-tool reach

Email, CRM, spreadsheets, Telegram, Slack, and more — connected across your existing stack without migrating to a new platform.

Event-driven triggers

It acts on what actually happens — a new email arrives, a CRM record changes, a form submits — not on a polling timer.

Bi-directional writes

Reads from source systems, decides, and writes back — to the CRM record, the spreadsheet row, the chat channel — not just one-way notifications.

Scoped permissions

The integration is granted the minimum access it needs — no broad OAuth scopes, no admin tokens handed over. Least-privilege by default.

BYOK or managed keys

Bring your own API keys and stay in full control, or let us manage credentials on your behalf — encrypted at rest either way, never in plaintext.

EU-hosted infrastructure

Deployed on Fly.io and Supabase EU region. Data residency in Europe, GDPR compliant, with retry logic and structured failure alerts built in.

How it works

Step 1

Map your stack

We list every tool your team uses and the handoffs between them — what triggers an action, what output is expected, where the gaps or duplications live.

Step 2

Wire in the AI layer

We connect AI to your systems using their native APIs — no scraping, no brittle browser automation. The AI reads, decides, and writes back using the same interfaces your team uses.

Step 3

Test the live path

We run the integration against real events and verify the output in each target system. We do not sign off until the user-visible result matches what was specified.

Step 4

Monitor and expand

You get the integration running, full documentation, and the option to expand scope — more triggers, more targets — as you see what value it creates.

Resilient by design

Every integration includes error handling built in — not bolted on afterwards. When a source API changes, a target rejects a write, or an edge case falls outside spec, the integration surfaces the failure with context rather than silently doing nothing.

Retry logic handles transient failures. Structural failures escalate to the right person. The system tells you what happened and where — unlike other AI agents, it does not store credentials in plaintext.

Your keys, or ours

Every integration supports BYOK (bring your own API keys) or a fully managed model where we handle credentials on your behalf. Either way, keys are encrypted at rest and never stored in plaintext.

GDPR compliant Encrypted at rest No plaintext keys

Common questions

AI Into Your Stack FAQ

A focused single-tool integration — for example, reading inbound email and updating a CRM field — typically takes 3–5 business days from confirmed spec to live in production. Multi-system integrations with complex decision logic run 1–2 weeks. We scope it precisely on the audit call before committing to a date.
A description of the trigger (what event kicks things off), the target (what system should receive the output), and one real example of the input and the expected output. We do not need admin access upfront — we list the exact API scopes required during the audit call and you provision them at that point.
Every integration ships with structured error handling. Transient failures (a rate-limit, a momentary API outage) are retried automatically. Structural failures — a source API changing its schema, a write being rejected — surface as alerts with enough context to act on. Fly.io restarts crashed processes in under 30 seconds. You are not left monitoring logs manually.
BYOK means you provision and own the API keys — you can revoke access at any time without touching our systems. It is the right choice if your security policy requires it or if you have existing keys scoped correctly. Managed keys are simpler to set up and we handle rotation, but the credentials live in our Supabase instance (EU region, encrypted at rest). Either way, no credentials are ever written to source code or config files.
Zapier and Make are rule-based — they route data between predefined fields. Our integrations use an AI layer that reads unstructured content (email body, Slack message, document), understands what it means in context, and decides what to write and where. For simple field-mapping, a no-code tool is fine. For anything requiring reading, classifying, or summarising free-form content, you need an AI layer. We also write the integration as code — version-controlled, testable, not locked inside a third-party SaaS GUI.

Start with your existing stack

Tell us which tools your team uses and where the friction is. We will map what AI can do inside them — no migration required.

Get a quote See the work