Systems of record
HubSpot, Pipedrive, Salesforce, Dynamics, Zoho, plus custom CRMs and internal databases over Postgres, MySQL or SQL Server.
AI integration services
AI integration for the systems you already run on.
Most businesses don't need another AI tool. They need AI wired into the CRM, inbox, accounting package and spreadsheets they already use — with real permissions, real logging, and a clear line between what it can do and what a person signs off.
We do that integration work for companies in Ireland and the UK. Scoped and quoted per project after a free discovery call.
The hard part
Why integration is the hard part
A model that can write a beautiful reply is worthless if it can't see the customer's order history, and dangerous if it can update that order without rules. The interesting work isn't the prompt — it's the authentication, the data mapping, the rate limits, the retries, the permissions and the escalation paths.
That's also why most internal AI pilots stall. They demo well against a copied spreadsheet and then never touch a live system. We start from the live system.
Connections
What we connect
Communication
Gmail and Outlook, Slack and Teams, WhatsApp Business, SMS, plus voice through the telephony provider you already use.
Finance and commerce
Xero, QuickBooks, Sage, Stripe, Shopify, WooCommerce — reading transactions, writing records, reconciling both directions.
Documents and files
Google Drive, SharePoint, Dropbox, Notion, plus PDF and scanned-document extraction with confidence scoring.
Spreadsheets and data
Google Sheets, Excel, Airtable — usually where the real business logic is hiding, and usually the fastest thing to integrate.
Scheduling and operations
Google Calendar, Outlook Calendar, Calendly, job management and field service tools, ticketing systems.
Method
How we approach it
1. Audit the integration surface
What systems exist, what APIs they expose, who owns credentials, where the data is dirty, and which of those is going to be the hard one. We do this before quoting a build.
2. Design the boundaries
Exactly what the AI can read, what it can write, and what it must hand to a human. Written down and agreed before it's built — this is what makes AI safe to deploy internally.
3. Build and instrument
Integration built with least-privilege access, retries, and logging of every read and write, so when something looks wrong you can see precisely what happened.
4. Pilot, then hand over
Run it alongside the existing process first. Once the output is trusted, full rollout with documentation and access to the code.
Agents
AI agent development
Where a workflow needs judgement rather than a fixed rule, we build an agent: a component with a defined goal, access to a specific set of your tools, memory of the case it's working, and hard limits on what it may do unsupervised.
Typical examples are an agent that handles an entire inbound enquiry thread until it needs a price approved, one that reconciles supplier invoices and only raises the mismatches, or one that keeps CRM records accurate by cross-checking them against your other systems every night.
Governance
Security and governance
- Least-privilege credentials per integration
- EU/UK-region model endpoints where available
- Full read/write audit logging
- Data stays in your own accounts
- DPA signed on request
- Documented human escalation paths
FAQ
Common questions
Get started
Tell us what is slowing you down.
Every project is quoted after a free 20-minute call.