AI Workforce Orchestration
Deploy, coordinate, and scale teams of specialized AI employees.
A unified operating system for your digital workforce. Assign goals, define cross-agent handoffs, manage unified context memory, and govern permissions from one intuitive pane.
- ✓ Dynamic multi-agent team assembly based on complex user goals
- ✓ Shared persistent memory graph across all enterprise employees
- ✓ Instant rollback and revision history for every agent action
- ✓ Role-based access control (RBAC) and team isolation
Deep Observability & Tracing
Inspect every step, tool call, token, and decision in real-time.
No black boxes. View high-fidelity execution trees for every task. Trace LLM prompts, tool inputs/outputs, model latency, and token costs with millisecond precision.
- ✓ Interactive flamegraphs for multi-step agent reasoning chains
- ✓ Real-time token cost and model consumption telemetry
- ✓ Full payload recording with PII scrubbing before storage
- ✓ Live event streaming via Server-Sent Events (SSE)
Deterministic Evaluation
Ship autonomous agents with 100% confidence using automated test suites.
Benchmark your AI employees before deploying them to production. Run golden datasets, test edge cases, score output accuracy with automated LLM judges, and detect regressions automatically.
- ✓ Automated golden dataset benchmark runner with 100+ assertions
- ✓ Deterministic output scoring against brand guidelines and schemas
- ✓ Cost vs accuracy tradeoff matrix for model switching
- ✓ Automated CI/CD integration for GitHub Actions
Event-Driven Automation
Trigger AI employees on schedules, webhooks, or system signals.
Move beyond manual chat prompts. Configure your workforce to execute autonomously on recurring cron schedules, incoming webhook payloads, or database change streams.
- ✓ Cron expressions with second-level precision
- ✓ Inbound webhook ingestion with signature verification
- ✓ Kafka, RabbitMQ, and AWS SQS event stream adapters
- ✓ Dead-letter queues and exponential backoff retry policies
Model Context Protocol & Ecosystem
Connect AI employees to 100+ SaaS tools, databases, and APIs.
Built on the open Model Context Protocol (MCP) standard. Seamlessly attach CRM systems, databases, cloud providers, productivity tools, and custom internal microservices.
- ✓ Native Model Context Protocol (MCP) server & client support
- ✓ Out-of-the-box connectors: Slack, Salesforce, HubSpot, Stripe, GitHub, Postgres
- ✓ Secure zero-trust secret management with HashiCorp Vault integration
- ✓ Sandboxed Docker and WebAssembly execution runtimes
