Integrations
Connect once. Automate everywhere.
Your AI agents are only as useful as the systems they can reach. Druid connects to all of them via prebuilt connectors, MCP, APIs, and native tool integrations so agents can reason and act with real enterprise context.
Explore Integrations
Druid supports both common enterprise platforms and the proprietary systems that make your business unique.
Epic
Healthcare
Microsoft
Healthcare, Retail, Banking, Insurance, Higher Education, Customer Support
Finastra
Banking
Genesys
Customer Support
Sap
Healthcare, Retail, Banking, Insurance, Higher Education, Customer Support
Ellucian
Higher Education
Salesforce
Customer Support, Healthcare, Retail, Banking, Insurance, Higher Education
Cisco
Customer Support
Slack
Temenos
Banking
FICO
Banking
Duck Creek
Insurance
Pega
Banking
Backbase
Banking
Insurity
Insurance
Equifax
Banking
Slate
Higher Education
Jack Henry
Banking
FIS
Banking
Ncino
Banking
Fiserv
Banking
Mambu
Banking
Experian
Banking
Transunion
Banking
Zest AI
Banking
Targetx
Higher Education
Nelnet
Higher Education
Anthology
Higher Education
Jenzabar
Higher Education
Facebook Messenger
EAB
Higher Education
Flywire
Higher Education
Oracle
Healthcare, Retail, Banking, Insurance, Higher Education, Customer Support
Touchnet
Higher Education
Five9
Customer Support
Google Meet
Amazon Connect
Healthcare, Customer Support
Meditech
Healthcare
Phreesia
Healthcare
Nextgen
Healthcare
AthenaHealth
Healthcare
Orange Health Labs
Healthcare
Cedar
Healthcare
Change Healthcare
Healthcare
Waystar
Healthcare
Press Ganey
Healthcare
Luma
Healthcare
EIS Group
Insurance
Sapiens
Insurance
Majesco
Insurance
Snapsheet
Insurance
Twilio
CCC Intelligent Solutions
Insurance
Guidewire
Insurance
Line
Microsoft Dynamics
Customer Support
Servicenow
Customer Support
SMS
Telegram
Viber
Workday
Customer Support
Freshworks
Customer Support
Zendesk
Customer Support
AI agents that don't just read data. They act on it.
Prebuilt connectors, open APIs, and event triggers mean agents do not just read data. They take action across the systems that run the business.
Plug-and-play integration fabric
Hundreds of ready-to-use connectors and filters. Secure, scalable, and optimized for real-time data orchestration. Compatible with SAP, Salesforce, Oracle, Workday, Power BI, telephony and more.
Bi-directional data sync
Pull live data for accurate answers, then push updates, tickets, tasks, and approvals back into core systems.
Event-driven orchestration
AI agents that don't wait to be asked. SLA breaches, form submissions, escalations, and system events trigger them automatically to handle issues before anyone files a ticket.
Integrations are where AI stops being a demo and starts being operational.
With 500+ pre-configured skills and ready-to-use AI agents, plus 200+ prebuilt enterprise connectors, Druid gets you operational fast.
Connect standard platforms and custom systems alike
Druid supports both common enterprise platforms and the proprietary systems that make your business unique.
Universal API and tool integration layer
Reach legacy systems, proprietary databases, and bespoke internal tools through REST, SOAP, GraphQL, webhooks, database connectors, and Model Context Protocol.
Enterprise system coverage
Span CRM, ERP, HR, ITSM, RPA, collaboration, BI, contact center, martech, analytics, and custom applications through one agent runtime.
Governed execution enterprise-wide
Maintain traceability and policy control as agents act across systems, channels, and teams with every action logged and every decision
Grounded RAG for all answers and queries
Your enterprise knowledge should stay unified and fresh. Build RAG-backed enterprise knowledge, then let users query data and intelligence systems in natural language.
Multi-source knowledge ingestion
Bring in PDFs, docs, websites, images, videos, emails, tickets, SharePoint folders, and custom data sources into one enterprise retrieval layer.
Grounded retrieval with graph and vectors
Combine vector search, knowledge graph, and multi-model embeddings for accurate, explainable, source-cited answers instead of generic LLM guesses.
Natural language query
Let teams ask questions of Power BI, Tableau, BigQuery, and other BI systems directly through conversation.
One build.
Every touchpoint.
Deploy the same agent, logic, knowledge and governance across every channel your customers and employees already use. No cloning agents. No forking logic. No rebuilding per surface.
Voice & CCaaS
Connect to Genesys, Cisco, Twilio, Amazon Connect and many others for voice self-service and contextual handoff.
Web & mobile chat
Embeddable widgets with proactive prompts, structured responses, and live-agent escalation.
Teams, Slack & collaboration
Bring the same intelligence into the tools your employees work in every day.
WhatsApp, SMS & messaging
Reach customers on the channels they prefer with enterprise security and session management.
Triage inboxes, auto-resolve routine requests, and route the rest with outbound notifications built in.
Custom interfaces
Extend to portals, internal apps, and business-specific front ends through the same agent runtime.
Write into systems, not just read from them
Manage bi-directional actions across SAP, Salesforce, ServiceNow, Workday, and any other enterprise systems while keeping the workflow consistent and auditable.
Cross-system action execution
Coordinate identity checks, policy lookups, scheduling, notifications, and back-end updates across multiple systems in one orchestrated flow.
Policy-aware automation
Apply business rules, risk thresholds, and eligibility checks before any action is committed so agents follow the same policies your people do.
Exception handling
Escalate only when necessary, carry the full workflow context into the handoff, and update the system of record with the approved resolution.
Frequently asked questions
Get answers to the most common questions about Druid's AI agents and the platform's integration layer before your demo.
What protocols and connector types does the integration fabric support?
REST, SOAP, GraphQL, WebSocket, database connectors (JDBC/ODBC), RPA bridges (UiPath, Automation Anywhere, Blue Prism), event-driven webhooks, and Model Context Protocol. All traffic routes through a unified security layer with TLS encryption, authentication, and full request/response logging.
What is event-driven orchestration and what triggers are supported?
Conductor subscribes to system events like SLA breaches, form submissions, ticket escalations, scheduled jobs, and custom webhooks and auto-dispatches agents to respond, route, and resolve without human initiation. Events are processed asynchronously with configurable retry policies and queues for failed deliveries.
How does the Graph RAG knowledge ingestion pipeline work?
Druid ingests PDFs, Office documents, web pages, images, videos, emails, SharePoint folders, tickets, and custom data via scheduled or event-triggered extractors. Content is chunked, embedded using proprietary vector models, and indexed in a hybrid store combining vector search and knowledge graph traversal for grounded, source-cited retrieval.
How does Druid handle enterprise systems without APIs?
For legacy or proprietary systems, Druid supports RPA bridges (UiPath, Automation Anywhere, Microsoft), database connectors, screen-scraping adapters, and file-based integrations. These are orchestrated through the same Conductor pipeline as API-native connectors, with full logging and error handling.
What is the natural language query capability for BI systems?
Users query Power BI, Tableau, BigQuery, and other BI systems directly through conversation with no SQL and no dashboard training required. The agent translates natural language into structured queries, retrieves results, and presents them inline, supporting follow-up drill-downs within the same dialog.
How does the omnichannel runtime ensure consistent agent behavior?
A single agent definition with its flows, knowledge, orchestration rules, and governance policies deploys identically across voice (SIP/CCaaS), web chat, mobile, Teams, Slack, WhatsApp, SMS, email, and custom interfaces. Channel adapters normalize input/output formats while Conductor maintains a unified conversation and execution context.
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