Connect Agents to
All Your Enterprise Systems
Agents access thousands of actions across enterprise systems through integrations. Skills wrap integration actions into capability packages. Assign a capability to your agent in seconds.
Connect all your enterprise systems
Agents discover and use integration actions through skills. Skills wrap actions into capability packages, enabling agents to work with thousands of actions across enterprise systems without system-specific configuration.
Native enterprise connectors
Pre-built connectors for SAP, Oracle, Workday, ServiceNow, Microsoft 365, Salesforce, and other enterprise systems with thousands of ready-to-use actions.
Automatic authentication
Configure OAuth, API keys, or SAML once per integration. Agents authenticate automatically when executing actions—no credential management in workflows.
Custom integrations via Integration Builder
Build custom integrations for internal systems and proprietary APIs. Import from OpenAPI specs or define manually.
MCP protocol support
Agents support MCP (Model Context Protocol) for standardized agent-to-agent communication. Agents can use MCPs in chat interactions.
Action execution architecture
Actions are parameterized functions agents call directly. Automatic parameter validation, error handling, and retry logic built into execution layer.
Test tools before deploying
Use the 'Test tool' feature with sample values before saving custom integrations. Validate data flows to downstream nodes. Catch errors before they reach production.
Triggers for automatic agent starts
Webhook triggers, email listeners, integration events (Google Drive, Slack, Salesforce). Agents start automatically when events occur. No polling required.
Webhook endpoints with authentication
External systems call agents via HTTP POST. Send JSON payloads matching your input schema. Authenticate with API keys or HMAC signatures.
Native enterprise connectors
We provide native connectors for major enterprise systems including SAP (ECC, S/4HANA), Oracle ERP, Workday, ServiceNow, Microsoft 365, Salesforce, Google Workspace, Slack, and others. Each connector exposes multiple actions. Workday provides employee lookup, payroll retrieval, and benefit update actions. SAP provides invoice creation, payment processing, and purchase order actions. Skills wrap these actions so agents access them through capability packages rather than system-specific configurations. Most connectors require no custom development. Connect, configure authentication, and agents start using actions immediately.
Custom integrations via OpenAPI
Connect custom systems and internal APIs by uploading OpenAPI 3.0 specifications. The platform extracts available endpoints from the OpenAPI spec and normalizes them into actions that can be wrapped into skills. For most enterprise clients, custom integrations represent about 80% of their integration needs—internal APIs, legacy systems, and proprietary tools.
Automatic authentication
Integrations authenticate using credentials configured once per connection. Supports OAuth 2.0 with automatic token refresh, API keys for service accounts, SAML for enterprise SSO, and basic authentication for legacy systems. When an agent executes an action, it uses the stored credentials automatically—no credential passing in workflows, no token management in agent code.
Action execution architecture
Actions are parameterized functions that agents call directly. When an invoice agent uses an action to process a document, it maps extracted data fields, such as vendor names, line items, and totals, directly into the function's parameters. This ensures that the data is structured and validated before being passed to downstream systems like an ERP or accounting software.
Integration-level security
RBAC is handled at the integration level via OAuth tokens, not in the platform. When a user connects an integration, their OAuth token determines what permissions are available. If an agent tries to access data the token doesn't permit, the external system returns a Forbidden error—the same error that user would see accessing that system directly.
Triggers for automatic agent starts
Build proactive automations. Set up Webhook triggers, email listeners, and integration events (Google Drive, Slack, Salesforce). Agents start automatically when events occur. No polling required. Streamline reactive workflows that instantly respond to changes in your enterprise ecosystem.
Browser-based actions
Browser automation is available for systems that don't provide API access, but it's less reliable than API-based integrations. Browser actions simulate user interactions (clicks, form fills, navigation) which makes them fragile—they break when websites change layouts, add new popups, or update their UI. For enterprise systems, API-based integrations (native connectors or OpenAPI) are strongly recommended because they're more stable, faster, and handle errors better. Use browser-based actions only when API access isn't available and accept that they may require more maintenance and have lower reliability.
MCP protocol support
Agents support MCP (Model Context Protocol) for standardized agent-to-agent communication. Agents can use MCPs in chat interactions, enabling conversational agent collaboration, and within workflow nodes for programmatic agent communication. We also expose an MCP server, allowing external platforms (like IBM WatsonX Orchestrate) to call agents as tools. This means agents can be invoked from any MCP-compatible platform. Your agents become accessible across your entire agent ecosystem. MCP provides a standardized way for agents to exchange context, tools, and capabilities, making multi-agent workflows more reliable across different platforms.
Skills as Action Wrappers
Skills wrap integration actions into reusable capability packages—using the Model Context Protocol (MCP) to expose tools. A Payment Processing skill might wrap SAP's create_payment, Oracle's submit_invoice, and Workday's approve_expense actions. Assign the skill to an agent and it gains access to all wrapped actions without needing to know which systems provide them. Skills abstract the integration layer: you define what an agent can do (payment processing), and the skill determines which specific actions are available. When you add new integrations, existing skills can wrap their actions and agents automatically gain new capabilities.
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Questions teams ask about integration
What does integration actually involve?
We design the workflow, build the agent and the evaluation around it, run it in shadow mode against real traffic, then hand it over with a runbook. You end up owning a running system for integration plus the evidence it works, not a proof of concept that needs rebuilding.
How long before integration is live?
Four weeks is the standard implementation: discovery in week one, environments in week two, a shadow-mode pilot in week three, handover in week four. Most teams see their first agent running against real data by week three.
Do we need an ML team to run this?
No. Most clients start with strong software engineers and no ML specialists. The engagement is built so your existing team owns the system afterwards — we train them while we build rather than handing over documentation at the end.
How do you know it is working?
Every system ships with an evaluation suite: golden datasets built from your real cases, rubric-driven scoring, and regression gates in CI. Quality becomes a number you track per release rather than an opinion, and drift pages you the way a failing test would.
What happens when the agent gets it wrong?
Low-confidence and high-stakes cases route to a human queue by design. Every failure is captured with full trace context, and those traces become new evaluation cases, so the same mistake is caught automatically next time rather than recurring.
Does this run in our environment or yours?
Yours. Deployment happens inside your cloud perimeter, against your data stores and your identity provider. We integrate with the stack you already run rather than asking you to move anything into ours.
Who owns what we build?
You do. Fine-tuned weights, datasets, evaluation suites and runbooks are yours, handed over at the end of the engagement. There is no lock-in that requires us to keep the system running.
How is this priced?
A platform subscription plus a fixed-scope implementation fee, quoted in writing before work starts. Implementation is priced by engagement rather than by the hour, so a slower week costs you nothing extra.
We tried something like this before and it failed. Why would this be different?
Most failures are not model failures — they are missing evaluation, no human fallback, and no way to tell whether a change made things better. Those are the parts we build first. If we cannot define how success is measured for integration, we say so before taking the work.
What do you need from our team?
One process owner who knows the workflow end to end, one engineer with access to the systems being integrated, and a weekly 45-minute review. That is genuinely it — no standing project committee.