AI Customer Service Platform

Resolve faster.

Deflect more.

Cut cost per ticket.

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Resolve faster desktop

Every support issue handled the right way, every time.

A defined playbook for every ticket type. The AI follows it precisely. Your team controls the logic, no engineering ticket required.

Every support issue handled the right way, every time.
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Deploy without an engineering ticket

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See exactly how every decision was made

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Test with real traffic before committing

Every support issue handled the right way, every time.

Fits inside your
existing stack.

Connect delight.ai to the tools your CS team already uses. No ripping and replacing. Salesforce, Zendesk, Intercom, Freshworks, ServiceNow, and more.

See all integrations
Fits inside your existing stack.

AI and human agents
in one thread.

When a ticket needs a human, the handoff is instant. Full context carries over in one thread. No extra license, no repeated context.

Every ticket is a race against time. Desk AI copilot surfaces replies, context, and knowledge in real time so agents resolve faster.

Chat, email, SMS, and in-app messages in one inbox. Agents see the full picture without tab-switching or dropped context.

Escalations route automatically by issue type, team, and language. The right agent gets the ticket with full context already in the thread.

Responsible AI,

built into every response.

Every resolution logged. Every Actionbook audited.

Trust OS: Responsible AI powered by observability, oversight, and control.

  • BuildBuild with confidence and ease. Design, test, and launch your AI agent in days, not months, using tools that simplify every step.
  • TestValidate early, before it matters. Detect, analyze, and fix potential issues long before they impact your customers.
  • EvaluateStay in control, always. Monitor results in real time, measure impact, and continuously optimize your business performance.
Trust OS

Observability

Pressure-test AI before it reaches customers. Continuously test, trace decisions, and surface issues.

Oversight

Review and grade every response for quality and compliance. Catch issues early and pause AI instantly when needed.

Control

Apply guardrails to safely scale AI with confidence. Track changes, compare versions, and manage access with full control.

AI-powered customer service FAQs

Common questions about delight.ai for ticket deflection, compliance, and team control.

Actionbooks automatically resolve common ticket types: returns, billing disputes, password resets, account changes. When the AI closes a ticket end-to-end, it never reaches a human agent. Teams using delight.ai see an average 73% deflection rate within 90 days.

An AI customer service agent handles inbound requests across chat, email, and messaging without a human in the loop. Unlike basic chatbots, delight.ai follows structured Actionbooks, integrates natively with your helpdesk, and coordinates across internal teams on complex tickets.

Sendbird Desk is included. No extra license required. When the AI escalates to a human agent, the full conversation history, customer context, and AI summary transfer in one thread. The agent picks up without asking the customer to repeat themselves. See all available integrations.

Yes. Delight.ai is SOC 2, HIPAA, and GDPR compliant, built on Sendbird's enterprise-grade infrastructure. Trust OS provides full observability, per-resolution audit trails, and access controls purpose-built for healthcare, financial services, and insurance.

Actionbooks define the exact resolution path for each ticket type: what to collect, what actions to take, and when to escalate. The AI executes the playbook, not freeform generation. No improvised responses. No off-script risk.

AI customer service is reactive: deflecting inbound volume, resolving tickets, and cutting cost per interaction. AI customer care is proactive: personalized outreach, follow-through, and long-term loyalty. Delight.ai covers both. This page focuses on the customer service use case. See how delight.ai handles proactive customer care →

Customer service teams 
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