AI support that performs at enterprise scale.

Complex tickets resolved. Compliance requirements met. Per-seat pricing gone.

Talk to sales

Trusted by support teams at

80%
AI resolution rate
Line chart showing the jump from a 5% AI resolution rate to over 30% after replacing their legacy chatbot with Botpress — a 500% improvement

Extendly: a 500% improvement, scaling across 1,000+ agencies and up to 400,000 end users.

Why enterprise teams choose Botpress

Most AI support tools were built for the easy tickets. Botpress was built for the rest.

An AI agent that learns from every human handoff

Every time a human support agent steps in — corrects a response, handles an escalation, resolves a ticket differently — that signal feeds back into how the AI agent performs next time. Resolution rates don't plateau after launch. They compound over time, shaped by the actual decisions your team makes.

Line graph showing auto-resolution rate increasing from January to June, with percentage on vertical axis.
Dashboard cards showing ticket stats: 50.2% increase, 857 total tickets, 78% CSAT, 3h20m average resolution time.

Reporting and version control built for teams that need to prove ROI

KPI overview dashboard

Volume, auto-resolution rate, CSAT, escalation rate, and time to resolution in one view.

CSAT analytics

Surveyed and AI-inferred scores, broken down by product tag, topic, and time period.

Escalation and topic performance

See which topics the AI agent handles consistently — and where to invest next.

Version history

What changed, when, and by whom. Compare versions, audit, roll back.

A customer success team that stays in the work with you

Enterprise customers get a named customer success manager who knows the account before go-live and stays with it after. They track deployment health, flag issues before they become escalations, and bring product expertise into your specific setup.

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Security built for teams where data accountability is non-negotiable.

Certified and compliant

Audited annually against security, availability, and confidentiality criteria. Compliant with EU data protection and US healthcare data privacy standards.

Private LLM gateway

PII and sensitive data are stripped before anything reaches an LLM provider. Documents are never sent for ingestion or training — only anonymized chunks that can't be traced back to a client.

Zero data retention

No retention on the provider side, no training on your data. You control retention periods for messages and media to meet policy or regulatory requirements.

Audit and conversation logs

A full trail of what the AI agent said, what it decided, and why. Data Subject Requests can be fulfilled without dependency on Botpress.

Prompt integrity and sandboxing

User inputs are sandboxed away from system prompts. Out-of-scope inputs never reach the model; topics and phrases can be blocked outright.

MCP server

Helpdesk operations exposed as MCP tools — connect internal systems without custom integration work. Works with Claude Code, Claude Desktop, and Cursor.

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No seat-based pricing. No surprise overages.

Enterprise agreements are scoped to the deployment, not the headcount. Pricing is based on conversation volume — not on how many human agents are on your team.

Response and resolution SLAs

Custom integration support

Program and policy configuration

Event-based workflow support

Quota management

AI spend included in base plan

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We built it directly into the prompt: whenever someone mentions fraud, security, or cancellations, route to a real person immediately. Having that level of control over sensitive conversations was huge for us.

Andrew Dell
Support Operations Architect @ Super Dispatch

Ready to up your AI game?

Enterprise deployments start with a conversation. Bring the compliance questions, the integration requirements, the edge cases your current tool keeps escalating. The team has seen them before.

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