Resolve Faster
Reduce handle times (AHT) and MTTR with instantly guided answers and automation.
Resolve customer issues instantly with Generative AI in customer service
For support leaders, our platform uses AI agents and workflows to slash resolution times, boost CSAT, and cut operational costs.
Instant issue resolution
Human handoff control
24/7 multilingual support
Automated Support
with Total Governance:
Deploy across chat and email, using your knowledge base for compliant, accurate answers. Improve customer service automation and see measurable boosts in efficiency and satisfaction.
Higher CSAT
Deliver consistent, accurate, and on-brand responses to every customer inquiry.
Lower Costs
Increase ticket deflection rates and significantly reduce overall ticket volume and handling.
Safe Automation
Operate confidently with guardrails, approval workflows, and fully auditable AI behavior.
Seamless Scale
Integrate into your existing helpdesk and scale support capacity without adding headcount.
Support
Support
Launch these common use cases on day one. Our AI support agents work across all your channels, powered by your central knowledge base.
FAQ Deflection
Instantly solve common customer questions using your trusted KB and policies.
Agent Copilot
Empower human agents by auto-drafting replies, summarizing tickets, and suggesting actions.
Ticket Automation
Automatically tag and route tickets, update your CRM, and trigger necessary follow-up tasks.
Reduce agent burnout and build customer trust by ensuring every user feels heard and helped quickly.
Operational Benefits of
AI Customer Support
Decrease Handle Time
Use faster triage, instant knowledge retrieval, and fewer agent back-and-forths.
Improve Consistency
Ensure policy-aligned answers are delivered consistently across all agents, shifts, and regions.
Scale On Demand
Easily handle unpredictable surges with always-on support, avoiding costly hiring spikes.
Unlock Deeper Insights
Detect emerging trends from conversations and identify critical gaps in your knowledge base.
Enterprise Platform
for AI Support
Build, deploy, and govern AI support agents with robust integrations, analytics, and enterprise security.
Grounded Answers
Deliver answers grounded in your official knowledge base to avoid hallucinations.
AI Workflow Engine
Automate ticket actions, trigger approvals, and manage complex automated handoffs.
Omnichannel Deployment
Deploy consistently across chat, email, your helpdesk, and web widgets for unified support.
Quality and Guardrails
Enforce brand tone, handle PII safely, and ensure all AI-generated outputs are policy compliant.
Insight Engine
Track intent fulfillment and deflection metrics for continuous agent improvement.
How Lyzr's Approach to
AI Support Differs
| Feature | Typical Tools | Point Solutions | Lyzr |
|---|---|---|---|
| Grounded Responses | Often ungrounded | Limited to basic KB | Verifiable and cited |
| Human-in-the-Loop | No clear handoff | Basic email routing | Contextual handoffs |
| Helpdesk Sync | Manual API work | Single integration | Pre-built connectors |
| Tone Control | No brand controls | Limited tone settings | Granular policy engine |
| PII Security | Risks data exposure | Basic redaction | Full PII redaction |
| Deflection & CSAT Analytics | No impact data | Basic bot data | Complete ROI dashboard |
| Workflow Automation | No actions | Simple triggers | Multi-step workflows |
| Omnichannel | Single channel | Chatbot only | Unified AI experience |
| Deployment Options | Public cloud only | SaaS deployment | VPC or On-Premise deploy |
| Audit Logs | No audit trail | Limited logging | Full auditability |
Why Lyzr is Right
for Support AI?
Ready for Scale
Benefit from robust security, access controls, and flexible deployment options.
Quick Value
Go from pilot to production quickly using our pre-built templates and connectors.
Trustworthy AI
Rely on grounded answers, strict guardrails, and quality metrics you can measure.
Integrations
Seamlessly integrate with your existing helpdesk, CRM, and knowledge base platforms.
Trusted by Leading
Support Teams
Global enterprises across industries rely on Lyzr's secure and scalable platform to power their AI customer support, improving satisfaction while managing costs effectively.
We deployed Lyzr's AI agents to handle inbound support chats, and the results were immediate. Our average handle time dropped by 30% in the first quarter, and first-contact resolution is the highest it's ever been. It's a game-changer for our customer experience and team morale.
VP Support · Leading B2B SaaS Company
Zero
Data exfiltration incidents
Get Started with AI Support
in Four Easy Steps
Define Goals
Set KPIs for deflection, AHT, containment, and CSAT improvement.
Link Knowledge
Integrate your knowledge base and documents, checking content readiness.
Launch Pilot
Go live with limited intents, clear guardrails, and defined handoff flows.
Scale & Optimize
Use analytics to tune performance and expand to new channels and use cases.
Your Most Frequent Questions on
Generative AI for Service
What is Generative AI in customer service and its main uses?
It's AI that generates human-like text and actions for support. Unlike basic chatbots, it can handle complex queries, but requires grounding in your knowledge and safety guardrails to be effective. Applications include self-service, agent assist, and post-ticket automation.
How does Generative AI in customer service reduce ticket volume?
It reduces volume through ticket deflection. AI agents resolve common issues via self-service, preventing them from becoming tickets. We measure this with containment rates and monitor response quality to ensure customer satisfaction is maintained or improved.
Is Generative AI safe to use for regulated customer data?
Yes, when architected with proper governance. Lyzr ensures safety with strict access permissions, built-in PII redaction, full audit logs, and policy enforcement. Our flexible deployment options, including VPC or on-premise, provide another layer of critical risk mitigation.
What is the difference between AI agents and older chatbots?
Chatbots follow rigid, pre-programmed scripts. AI agents are dynamic; they can understand intent, use tools, execute workflows, and generate new responses based on your knowledge base. They also manage complex escalations and handoffs to human agents far more effectively.
How do you prevent AI hallucinations in customer support?
We prevent this by strictly grounding all AI responses in your approved knowledge sources, like a help center or internal documents. Our system includes citations and constraints on answers. For ambiguous queries, the AI is trained to ask for clarification or escalate.
Which customer support channels can the AI agents work on?
Our AI agents are designed for true omnichannel support. You can deploy them across web chat, email, integrated helpdesk platforms, and to assist with voice support. Policies and knowledge are centralized, ensuring a consistent experience for customers on any channel they choose.
What kind of integrations are required for this type of AI?
The most critical helpdesk integration is with your ticketing system and CRM. Connecting to your knowledge base is also key for grounding. These integrations provide the AI with customer context, enable it to take action, and allow for accurate, closed-loop performance reporting.
How do we measure the ROI from using AI in customer support?
ROI is measured against key performance indicators. We track improvements in Average Handle Time (AHT), First Contact Resolution (FCR), ticket deflection rates, and CSAT. By comparing these metrics from a baseline to post-pilot, you can clearly calculate cost savings and efficiency gains.
Can your AI support agents smoothly hand off to human agents?
Yes, this is a core design principle. Handoffs are triggered by specific rules or customer requests. The AI packages the full conversation transcript and a summary for the human agent, ensuring seamless context transfer and preventing the customer from having to repeat themselves.
How long does a typical implementation of this AI system take?
A pilot can be launched in just a few weeks, depending on the readiness of your knowledge base. From there, scaling to full production is an iterative process of a few months, involving tuning, quality assurance reviews, and expanding the scope of intents and channels.
Got a use case in mind?
8 weeks from use case to
8 weeks from use case to
agents running in production.
Platform, people and FDEs, all in. Bring your environment. We’ll co-build and stay until it’s
live.