Onstage it serves your customers, Backstage it works for you

The same agent, turned around. A data analyst that already knows your business and every conversation it had, audits your agent on a schedule, and an agent builder that writes the fix, down to custom actions. You approve what ships.

Sales agent

Good evening, John

What would you like to do today?

This week your AI agent handled 1,247 conversations, with automation up 4.2%↑. The biggest theme was pricing and billing questions, followed by account setup. Escalations rose slightly, driven by API integration errors that may benefit from an updated help article.

Summarize issues customers are facing
Suggest improvements from conversations
Add a new text based data source
Insights
Conversations87%
Escalation rate18%
Customer success score81
Suggestions

Add an action to automate issuing refund credits to users.

Resolution rate by ~15%

Trusted by over 10000+ businesses

4.8

It knows your business, and your customers too

It already knows your products, policies and connected systems, because it is your agent. And it's talked to your customers all day, unlike any analytics tool.

Your context, already loaded

Your sources, your procedures, your connected systems. Nobody explaining what your product is or how your refund policy works before you can ask.

Nothing to set up

Every conversation it handled, across every channel. Not a sample someone exported, not the twenty tickets that got reviewed this week.

It runs on your setup

Put the two together and you get more than a report: what customers keep asking, and which instruction, source or step would answer them.

Ask it anything about your customers

Not a dashboard with answers someone else chose for you. Ask the question you actually have, in plain English, and get it answered from every conversation.

Ask in plain English

"What are people asking about most this week?" "Why did refund requests double?" "What do customers say right before they cancel?" Ask it the way you'd ask a colleague.

Patterns across everything, not a sample

It reads all of it. Themes across thousands of conversations, grouped so you can see them, rather than whatever surfaced in the last twenty tickets someone happened to review.

What's changing

New questions appearing, old ones fading, complaints rising in one region or on one product. The shift you'd otherwise notice a month late.

Trace it back

Every answer links to the conversations behind it. Read the actual exchanges rather than trusting a number.

Beyond support

Most of what customers tell you isn't a support issue, it's product feedback nobody transcribed. Backstage surfaces it for the rest of the team.

Everything your agent can do, out of the box

How can I capture more leads?

Completed 3 steps

Got it, I drafted a procedure to help with this.

Lead qualificationScores leads by budget, role, and intent.

Drafts the procedure

It saw how your team handled the hard cases, and turns them into a procedure your agent follows next time.

Suggested change

Tighten the refund rule so the agent checks the order date before offering a replacement.

Affects

41 conversations3 procedures
EditRejectApprove

Review before it ships

See exactly what would change, what it affects and why, in plain English rather than a diff.

Finds what's missing

The questions your sources don't answer, and the ones only an action could. Each comes with a draft of the fix.

Proposes the change

Not "resolution is down four points," but the exact instruction to tighten.

Tested before suggested

Every change runs against your saved scenarios, so it arrives with evidence.

Audits on a schedule

Daily, weekdays or weekly, sent to Slack, iMessage or Backstage. What needs you, what's broken, what improved, and what changed since last time.

Builds custom actions

Describe what the agent should do and share the API docs. Backstage sets up the action, tests it against your real API, and turns it on.

History and rollback

What changed, when, and who approved it. Put the previous version back in one step.

Works with the tools you already use

Enhance Chatbase by simplifying workflows and linking your preferred apps, with fresh integrations added regularly.

Integration grid featuring Slack, Shopify, Salesforce, Calendly, Stripe, Zendesk, Zapier, Intercom, and more

Trusted by 10,000+ brands

How Arcadis built a repeatable AI communication model for public infrastructure projects

100%

Official sourced answers

24/7

Citizen access to project info

Read case study
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4.8

Chatbase is committed to delivering the top customer support platform for those who demand excellence.

G2 awards: Momentum Leader, Easiest Setup, and High Performer — Spring 2026

Enterprise-grade security

We follow industry-leading compliance standards and best-in-class encryption protocols to keep your customer data safe.

Learn more

GDPR

Full compliance with EU data protection standards.

SOC 2 Type II

Independently audited for security and reliability.

HIPAA

Built to handle protected health information safely.

Your data stays yours

Your data is only accessible to your AI agent and not used to train models.

Data encryption

Data is encrypted at rest and in transit using standard algorithms.

Secure integrations

We use verified variables to ensure users access their own data.

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