Integrations
Tools we already connect
Accounting, CRM, messaging, databases and AI models we have already worked with on client projects.
These are the tools our AI workflow automation integrations already cover, from accounting and CRM to databases, messaging and AI models. Every name below is software we have worked with on client projects. Where we know exactly what it was used for, we say so; otherwise we list the name only.
Why integrations matter
Most automation projects fail at the connections between tools, not at the AI. We have already connected the systems below, so we spend your project on your workflow, not on learning an API. Connecting a tool we already know is quicker and carries less risk.
It also means fewer surprises. We know where each tool’s API is limited, which exports are reliable, and where a workaround is needed. That knowledge goes into the plan on day one instead of turning up halfway through the build. Every connection runs inside the same approval and logging rules as the rest of your AI workflow automation.
Tools we work with
The tools are grouped by what they do. Each one works with the automations, agents, dashboards and custom software we build, through its API, a webhook or a reliable export. Trademarks belong to their owners and are used here only as names.
Accounting and payments
QuickBooks
Invoicing, payment reminders and collections in an accounts receivable workflow.
Stripe
Subscription billing for a sales outreach CRM.
CRM and support
HubSpot
Close
Zendesk
Support tickets connected to a CRM deal pipeline.
Front
Jira
Work items moved between teams in a process automation suite.
Notion
Databases and warehouses
PostgreSQL
The database behind dashboards, admin panels and AI agents.
Supabase
App backends, document approval and agent memory.
MySQL
MongoDB
Data for a delivery operations mobile app.
Firebase
Real-time data for a delivery operations mobile app.
Firestore
DynamoDB
Snowflake
BigQuery
Google Sheets
Pipeline data and daily reporting.
Automation platforms
n8n
AI agents for email, voice booking and ad research.
Make
CRM pipeline, bulk messaging and accounts receivable workflows.
Zapier
Workflow steps in a sales outreach system.
Pipedream
Webhooks and REST APIs
Custom connections where no ready-made connector exists.
AI and voice
OpenAI
Reading documents, analysing ads and drafting replies and copy.
Vapi
A voice agent that qualifies leads and books appointments.
Messaging and email
Slack
Twilio
SMS notices, bulk messaging and report delivery.
SendGrid
Bulk and transactional email, including payment reminders.
Postmark
Klaviyo
Marketing data extracted into automated reports.
Cloud and storage
AWS S3
Document and file storage for approvals, shipments and dashboards.
Google Cloud
Microsoft Azure
Low-code and design
Retool
Internal tools, admin panels and dashboards.
Jotform
Figma
Interface design before build.
Framer
Connecting tools to AI assistants with MCP
We also connect tools to AI assistants through MCP, the Model Context Protocol. It lets an assistant read from and act in your systems, such as looking up a customer or creating a task, within permissions you set. The same approval and logging rules apply as in any other workflow.
That makes an assistant useful for real work rather than general questions. It can check an invoice status in your accounting system or find a customer in your CRM, and it still asks before anything that touches money or customers. This is how our AI agents and RAG assistants reach your systems safely.
Don’t see your tool?
Most tools with an API work, and many without one can still be connected through exports, webhooks or email. Tell us which tools your workflow touches on the first call. We will check each one and tell you plainly what can be connected and what would need a workaround.
If the tool you need does not exist at all, we can build it as custom software around your process. When the goal is to report on the data rather than move it, see KPI reporting and dashboards.