Put AI inside the processes your business already depends on. Combine model-driven reasoning with connected tools, explicit rules, and human review.
AI is a step like any other: give it inputs, describe the output you need, and connect it to the rest of your process.
- Classify, extract, summarize and draft
- Structured outputs you can branch on
- Swap models without rebuilding
Give an agent a clear role, the context it needs and only the tools it should use.
- Reasoning model
- temperature 0.2
- fallback model
- Help center
- 1,240 docs
- refreshed hourly
- search_orders()
- issue_refund()
- send_email()
- Refunds > $50
- Support lead
- 15 min SLA
Model orchestration
Route each step to the right model and fall back automatically when one is unavailable.
Context retrieval
Ground answers in your docs, records and past conversations.
Tool access
Choose exactly which actions an agent can call, and with what inputs.
Human approval
Pause sensitive actions until the right person signs off.
Decide tool by tool what an agent may do on its own, what needs approval and what is off limits.
- Allow, require approval or block per tool
- Limits on amounts, recipients and data
- Every action recorded with its reason
Pause a workflow until the right person signs off, with the AI's reasoning and the proposed action in front of them.
- Approve or reject from chat or email
- Reasoning and inputs shown with every request
- Timeouts and fallbacks you control
Review what the model saw and produced on every run, compare versions of a prompt and track quality over time.
- Inputs and outputs saved for every run
- Compare prompt and model versions
- Flag low-quality results for review
Bring your tools together, automate the steps that slow you down, and put AI to work where it makes a difference.