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Stop experimenting with AI. Start deploying agents that automate real workflows, reduce costs, and scale operations - with full visibility into every decision.
CRM and meeting signals kick off agents that brief reps and draft follow-ups.
Sample workflow: Trigger node connected to an Agent node, same layout as the product canvas.
Inbox and calendar triggers run agents that summarize and draft campaign-ready copy.
Sample workflow: Trigger node connected to an Agent node, same layout as the product canvas.
Tickets and shipment signals flow into agents that answer and escalate with context.
Sample workflow: Trigger node connected to an Agent node, same layout as the product canvas.
Shared inboxes and forms trigger routing agents that draft first responses for your team.
Sample workflow: Trigger node connected to an Agent node, same layout as the product canvas.
Close and reporting pulls activate agents that reconcile narratives for sign-off.
Sample workflow: Trigger node connected to an Agent node, same layout as the product canvas.
Orders and support signals drive agents that update customers and flag SLA risk.
Sample workflow: Trigger node connected to an Agent node, same layout as the product canvas.
Quote and contract events trigger agents that package clauses and route approvers.
Sample workflow: Trigger node connected to an Agent node, same layout as the product canvas.
Channel intake fires agents that classify requests and draft runbook-grounded replies.
Sample workflow: Trigger node connected to an Agent node, same layout as the product canvas.
Pipeline and feedback activity runs agents that bundle context for PM review.
Sample workflow: Trigger node connected to an Agent node, same layout as the product canvas.
Building AI agents
Describe the job in plain language, connect trusted LLMs and tools, and run agents you can trace—from first brief to production.
Preview of an agent builder form: name, job description, tools the agent can use, and in the full layout an LLM provider selector and model list.
Gmail
Read threads and label context
Notion
Save structured summaries
Slack
Post digests to a channel
Agent creation
Explain what the agent should do, the results you expect, and the rules it should follow. The system turns it into a structured agent blueprint you can refine, version, and deploy—without prompt chaos or manual wiring.
Choose an LLM provider and model, or bring your own open-source model under Custom.
Multi-model
Bring open-source models alongside hosted APIs—so you can mix frontier providers with self-hosted or fine-tuned weights in one place. Pick the model that fits cost, latency, and quality per agent, and change providers without rewriting your stack.
Integrations
Use pre-built nodes for common apps. Custom API connections for everything else.
Memory & Guardrails
Long-running context and team preferences—plus limits, escalation, and policies that stay enforced on every run.
Business Context
Products, services and policies
Guardrails & Preferences
Tone, format and boundaries
Systems & Tools
CRM, APIs, data
Agent Studio
Control plane
Support Agent
CS & tickets
Revenue Agent
Sales & CRM
Compliance Agent
Policy & audit
Operations Agent
Back-office
How we help
Strategy, platform, and licensing—so you can design, deploy, and operate agents with confidence.
Same process-style timeline as the solutions page: full track with colored progress halfway along the rail. Build and deploy use muted colors because the line has not reached them yet.
Strategy
Choose where AI actually helps—frame the workflow, define success, and plan rollout.
Agent lifecycle: build, orchestrate, test, and deploy
Platform
One workspace to design agents, wire tools, and ship with tracing and cost visibility.
Licensing document with terms, security, and SLA highlights
Licensing
Commercial licensing with defined deployment rights, SLAs, and update paths—so procurement, legal, and engineering stay aligned.
Why choose Agent Studio
Spend visibility
Real-time cost tracking across agents, models, and conversations. See token usage before the invoice arrives and eliminate surprise bills.
Full traceability
Every action, tool call, and response is logged and traceable. Audit your agents with full visibility into how decisions were made.
Data protection
Your data stays protected. Built with strict access controls, secure pipelines, and privacy-first architecture so sensitive business data never leaks.
ROI & metrics
Track accuracy, resolution rates, time saved, and cost reduction. Dashboards designed to show operational ROI — not just model metrics.
Teams & access
Role-based permissions, shared agent libraries, and controlled deployments so teams can safely build, test, and manage agents together.
Governed scale
Go from one agent to hundreds while maintaining governance, observability, and performance across your entire AI infrastructure.