Agent Studio Platform
AI support agents that answer, act, and improve.
Agent Studio is the platform for production AI support agents: knowledge, actions, human handoff, tests, QA, and feedback loops in one place.
- account.lookup
- billing.update_contact
- helpdesk.add_note
Platform capabilities
The platform behind a production support agent.
Agent Studio combines the parts a support agent needs before, during, and after live conversations.
Knowledge from real support work
Train agents on policies, help content, macros, resolved tickets, and operating procedures so answers match how your team actually works.
Actions across your tools
Connect approved tools so the agent can check context, update records, create tickets, and complete controlled steps.
Human handoff with context
Escalate with the customer request, checked data, attempted steps, and suggested next action already attached.
Testing before launch
Run realistic conversations against the agent before it reaches customers, including edge cases that would usually appear only after launch.
Tests and QA
Review the answer, source material, actions taken, policy match, and failure reason when a conversation needs QA.
Continuous improvement loop
Turn bad answers, handoffs, and team feedback into knowledge edits, prompt changes, tool updates, and regression tests.
Connected support stack
One agent connected to the systems where support happens.
Agent Studio sits between customer conversations and your operational systems. The agent can read context, use approved tools, write back outcomes, and leave a clear record for the team.
Agent StudioHow it works
Build, run, and improve the agent from one platform.
The platform covers the pieces that normally get scattered across documents, chatbot settings, automation tools, spreadsheets, and manual QA.
Build the agent from real operations
Bring in policies, examples, tickets, tools, and approved procedures so the agent starts with the same operating context your team uses.
Test the risky paths
Run simulated customer conversations, review action behavior, and QA edge cases before the agent handles live requests.
Run it across support channels
Let the agent answer, check systems, complete approved actions, and hand off when a human should make the call.
Improve from every miss
Use QA findings and feedback to improve knowledge, prompts, tools, and tests so the agent gets more reliable over time.
Feedback loop
Every bad answer should become a concrete fix.
A production agent needs more than launch settings. Agent Studio turns real conversations, handoffs, and missed answers into updates your team can inspect and measure.
Conversation review
See what the agent used, answered, checked, skipped, and handed off.
Issue reason
Separate bad knowledge, missing tools, weak policy, and ambiguous user intent.
Production patch
Update source content, prompt guidance, tool settings, or the escalation rule behind the issue.
Regression check
Add a test so the same failure path is measured before the next release.
Create agents from knowledge, policies, examples, tools, and workflows.
Handle customer conversations with approved actions and human handoff.
Use tests, QA, and feedback to keep the agent accurate.
Platform questions
What support teams usually need to know first.
Agent Studio is built for teams that need a controlled AI agent in production, not another isolated chat widget.
Who is Agent Studio for?
Agent Studio is for support teams that need AI agents to resolve real customer work, not just answer FAQs. It fits teams that care about actions, connected systems, handoff, tests, QA, and ongoing control.
Is this just another chatbot builder?
No. Chatbot builders usually focus on creating a widget and answering questions. Agent Studio focuses on the full support loop: knowledge, tools, approved steps, tests, QA, handoff, and improvements after launch.
Can the agent take actions in our systems?
Yes. Agent Studio connects agents to approved tools. You decide which actions are available, what data the agent can use, and when a human review is required.
Does Agent Studio replace our helpdesk?
No. It works with the systems your team already uses. The agent handles the work it is approved to complete and hands off the rest with context.
How do you keep the agent accurate after launch?
Agent Studio includes review, tests, QA, and feedback workflows so missed answers can become concrete fixes instead of another note in a backlog.
Agent Studio Platform
Ready to run AI support agents with control?
Book a demo and we will review your channels, support workflows, knowledge sources, tools, QA needs, and first production agent use case.