Services · AI Integration
Plug AI into the stack you already run.
Most AI projects stall at integration — the LLM is the easy part, the hard part is wiring it into Salesforce, Slack, Zendesk, and the six other tools your business actually runs. Cyndra handles all of it. No rip-and-replace. No new SaaS your team has to learn.
Integration coverage
Connect to the tools your team already uses.
Messaging
- Slack
- Microsoft Teams
- Discord
- SMS
CRM
- Salesforce
- HubSpot
- Pipedrive
- Attio
- Close
- Zoho CRM
Productivity
- Notion
- Linear
- Asana
- ClickUp
- Monday
- Trello
Docs & storage
- Google Drive
- Google Docs
- Notion
- Dropbox
- Confluence
- Airtable
Support
- Zendesk
- Intercom
- Front
- Help Scout
- Freshdesk
Calendar & scheduling
- Google Calendar
- Outlook
- Cal.com
- Calendly
250+ more integrations available via Composio. Custom connectors built on request.
How we integrate
Four steps from first connection to production AI.
Step 01
Audit your current stack
We map every tool your team uses, identify the integration points that matter, and flag any compliance or data-residency constraints upfront.
Step 02
Wire in the connections
Cyndra AI employees connect via native APIs, Composio (250+ integrations), or direct MCP servers for your most critical systems — whichever gives the best reliability and latency.
Step 03
Build the guardrails
We set up permission scopes, rate limits, human approval checkpoints, and audit logging. AI employees only touch the data and tools they need to — nothing more.
Step 04
Deploy where your team works
Integration isn't complete until people actually use it. We deploy AI into Slack, Teams, WhatsApp, or Discord — inside the tools your team already lives in.
Why Cyndra
Integration that survives production.
No rip-and-replace
Your existing tool stack stays. Cyndra layers on top — connecting, coordinating, and automating across systems you've already invested in.
250+ integrations via Composio
From Salesforce and HubSpot to Linear and Notion — most tools connect out of the box. Custom integrations are built on top when needed.
Enterprise-grade auth
OAuth, service accounts, SSO, and SAML all supported. We respect your least-privilege policies and build scoped permissions per AI employee.
Observable by default
Every tool call, API request, and data access is logged. You get a full audit trail, plus usage dashboards that show what's working and what isn't.
FAQ
AI integration questions, answered.
What does AI integration mean in practice?
AI integration means connecting AI agents to the systems, APIs, and tools your business already runs on — so they can read from and write to those systems autonomously. Without integration, an AI agent is a chatbot. With integration, it's an AI employee that actually gets work done.
How many integrations does Cyndra support?
We support 250+ integrations out of the box via Composio, plus native APIs for most major platforms (Salesforce, HubSpot, Slack, Microsoft 365, Google Workspace, Notion, Linear, and more). For tools without a pre-built integration, we build custom connectors on top of REST APIs or MCP servers.
Do you use Zapier or Make for integration?
We avoid them for production AI workflows. Zapier and Make are excellent for simple trigger-action automations but add latency, cost, and failure points at scale. Cyndra uses native APIs and Composio for low-latency, direct integration. We'll use Zapier or Make when a tool only exposes integration through them.
How do you handle permissions and access control?
Every AI employee gets scoped credentials — typically OAuth with least-privilege scopes or a dedicated service account. We document what each AI employee can and can't do, enforce approval workflows for sensitive actions, and log every tool call for audit.
Can you integrate with internal tools or custom APIs?
Yes. For internal tools, we build custom connectors against your REST or GraphQL APIs. For legacy systems without APIs, we can use browser automation as a fallback. We also support MCP (Model Context Protocol) servers for teams building their own agent infrastructure.
How long does an AI integration project take?
A focused integration with 2–3 tools typically ships in 2–4 weeks. Multi-system integrations covering 5+ tools, complex permission models, or regulated-industry compliance usually ship in 4–8 weeks.