The integration layer that lets an agent read real data, write real records and trigger real processes.
The problem
Most AI pilots stall because the model has no safe, reliable path into the systems of record.
Capabilities
- CRM and ERP integration
- Database and warehouse access
- Custom API development
- Webhook and event pipelines
- Auditing and permissions
- Custom AI workflow engines
Real-world examples
- An agent updates the CRM, notifies the owner and schedules the task in one action.
- Disconnected internal tools share one workflow instead of four spreadsheets.
Integrations
One intelligent layer to orchestrate all your apps.
Slack
Post call summaries to channels.
Gmail
Send follow-up emails after calls.
Salesforce
Log activities and update records.
Zoom
Schedule and start meetings.
Stripe
Check payments and send invoices.
Airtable
Look up and update your bases.
Applications an Axton agent can act in: Slack, Gmail, Salesforce, Zoom, Stripe, Airtable, HubSpot, Google Calendar, Notion, Zendesk, Shopify, Twilio, WhatsApp, PostgreSQL.
These are examples, not a fixed list. Anything with an API, a database or a webhook can be wired into the same layer.
What we connect
Your stack, not a new one
We integrate into the systems your team already runs. If it has an API, a database, a webhook or an export, an agent can be given a safe path to it.
CRM & sales
Salesforce, HubSpot, Zoho, Pipedrive, custom pipelines
Databases & warehouses
PostgreSQL, MySQL, MongoDB, BigQuery, Snowflake
Communication
WhatsApp Business API, email, SMS, Slack, Teams
Calendars & scheduling
Google Calendar, Outlook, booking systems
Payments & billing
Stripe, Razorpay, invoicing and subscription tools
Support & ticketing
Zendesk, Freshdesk, Intercom, internal helpdesks
ERP & operations
Inventory, logistics, admin panels, spreadsheets
Custom APIs
REST, GraphQL, webhooks, event streams, legacy SOAP
What an agent is allowed to do
Four verbs, each scoped deliberately
- Read
- Look up a customer, an order, live availability or a document, and use it in the conversation instead of guessing at it.
- Write
- Create and update real records — leads, tickets, bookings, addresses, order notes — under the same validation your team's forms use.
- Trigger
- Start a process: send the quote, notify the owner, escalate to a human, issue the refund, dispatch the order.
- Sync
- Keep both sides current, with explicit conflict rules and retries so a system being briefly down does not lose the work.
How we do it
An integration is a contract, not a connector
Questions we get asked
Before you commit
Do we have to replace the systems we already use?
No. The integration layer sits alongside them. Your CRM stays your CRM and your database stays your database — the agent is given a scoped path in, not ownership of the data.
What if one of our systems has no API?
There is usually still a way in: a database replica, a webhook, a scheduled export, or a thin service we build over the existing application. We will tell you plainly when something is not worth automating.
How long does a first integration take?
A single well-scoped workflow is typically live in two to four weeks, including the mapping work. Broader programmes are sequenced so the first workflow is earning its keep while the next is built.
Who holds the credentials and where does the data go?
Credentials stay in your infrastructure or a secrets manager you control, scoped to the minimum the workflow needs. We do not copy your systems of record into a separate store to make the agent work.
What happens when an integration breaks?
Failures are expected, not exceptional. Every action is retried under an explicit policy, anything unresolved is escalated to a human with the full context attached, and monitoring alerts your team and ours.
Have a process worth automating?
Tell us what your team is doing manually. We'll show you what AI can take over.