Jeff · Agentic OS for Customer Service

The agentic OS built for the enterprise customer service function.

Define the experience objective. Jeff activates the agents, orchestrates every touchpoint across every channel and comes back with what actually moved CSAT, resolution rates, and retention. You stay in control. The function runs.

Jeff - Agentic OS for customer service

Trusted by leaders: real-world AI impact.

  • Accenture
  • Crown Castle
  • WTW
  • Verifone
  • KPMG
  • AWS
  • Hitachi
  • Movate
  • Firstsource
  • MSP Corp
  • Persistent
  • AirAsia Move

Jeff in production, today

400+

Enterprises running agentic service workflows in production
Across 12+ industries

70%

Of tier-1 issues resolved without human escalation. Not deflection. Resolution.

30 days

From first experience objective to a live service OS. Not a pilot. Production.

100%

IP, data, and agents remain yours always. We are the infrastructure. Not the owner.

The architecture

One experience objective in.
Your entire service function, moving.

Jeff sits at the centre of your customer service function. It reads every signal across channels, resolves issues at every tier, and closes every loop back to your experience goals.

  1. CRM ticketdata
  2. Product usagelogs
  3. Knowledgebase
  4. SLApolicies
  5. Customerhistory
  6. Sentimentsignals
  7. Escalationrules
Live

Customer Service Agentic OS Control Plane

Lyzr AI · Jeff · Model agnostic · Sovereign cloud · Any LLM

Objective engineCSAT goal → execution plan
Intelligence layersTicket · sentiment · SLA risk
Agent registry400+ agents · activated by objective
OrchestrationCoordinate across channels & tiers
GovernanceLogged · validated · human-in-loop
Memory & feedbackEvery resolution improves the next
Platform agnostic Zendesk · Salesforce Service · Intercom · Freshdesk · custom agentsAny LLM · Any cloud · Any stack · Bring or build agents
  1. Ticketsresolved
  2. SLAsmet
  3. CSATimproved
  4. Escalationsrouted
  5. Knowledgeupdated
  6. Trendssurfaced
  7. CRMsynced

What does your function actually need?

The right question changes everything.

Most customer service leaders are managing volume. Jeff starts with why customers are still frustrated after the ticket is closed.

Which interactions right now are quietly building toward churn?

Jeff reads sentiment patterns, repeat contact rates, unresolved issue clusters, and engagement drop signals across your customer base. It surfaces churn risk before a customer cancels.

Which issues keep coming back, and why hasn’t your knowledge base stopped them?

Jeff maps every recurring issue pattern across your ticket history, identifies knowledge base gaps and outdated content, and generates the articles, workflows, and deflection paths that eliminate the issue at the source.

How fast does your team recognise what’s at stake with a high-value customer?

Jeff builds a live context profile per customer account value, contract tier, interaction history, product usage, open risk and surfaces it the moment a contact comes in.

If your support volume doubled tomorrow, what breaks first?

Jeff runs the resolution layer across every channel chat, email, voice, messaging so your team handles complexity while agents handle volume. You scale coverage without scaling headcount at the same rate.

From objective to outcome

This is how your service function transforms.

Zendesk, Freshdesk, Salesforce Service Cloud, Intercom, your IVR, your CRM, your product and order systems connect what you have. Nothing migrates. Your data stays in your environment.

Zero rip-and-replace — Jeff is the intelligence layer that makes every channel you already run work harder for your customers.

Not a ticket SLA. A goal. “Reach 90% first-contact resolution.” “Reduce average handle time by 30%.” Jeff returns a ranked execution plan by channel, by issue type, by action with reasoning attached.

Experience-first, always. Every action on the plan earns its place.

From 400+ agents, Jeff calls what’s relevant to the issue type and channel: triage, resolution, escalation, proactive outreach, knowledge base update, root cause analysis.

400+ agents · Activated by objective.

Issues get resolved. Customers respond. Jeff tracks every outcome against your experience objective. It doesn’t report on ticket volume. It reports on customer outcomes.

Every output loops back. The OS gets smarter with every customer cycle.

Bring your processes

Jeff maps to how your support team works. Not the other way around.

Tell Jeff how your support function runs today. It enhances every workflow with agents built for that exact job.

Ticket triage

Every inbound ticket classified, prioritised and routed with context attached on arrival.

Live chat resolution

Customer intent read end-to-end, resolved across systems, not just answered.

Email support

Multi-turn email cases handled to resolution with policy-aware tone and full audit trail.

Voice & IVR

Calls deflected or assisted with the right account context in the agent’s ear.

Knowledge ops

Gaps detected from real tickets, articles drafted, reviewers notified and updates published.

Escalation handling

At-risk accounts surfaced early with the full timeline already assembled for the human.

Refunds & adjustments

Policy-gated refunds, credits and adjustments executed end-to-end with reasoning logged.

Order & logistics

WISMO, returns, exchanges and carrier follow-ups handled across your commerce stack.

QA & compliance

Every interaction scored against your QA rubric and compliance policy automatically.

Agent assist

Real-time suggestions, summaries and next-best-actions for human agents in the desk.

Voice of customer

Themes, trends and emerging issues clustered weekly with examples and severity.

Retention loops

Churn-risk signals from support converted into proactive saves with the right offer.

Why Lyzr

Your data. Your agents. Your call. Always.

Sovereign, governed and model-agnostic by design, so every agent and every workflow stays yours.

Stays in your environment

Jeff deploys in your cloud: AWS, Azure, GCP, or on-premise. No data leaves. No training on your proprietary information. 80% of enterprise deployments choose private cloud.

Governed at every step

Every agent action is logged. Every output validated. Human-in-the-loop controls for every decision that matters. SOC 2 Type II. GDPR-ready. EU AI Act compliant path.

No lock-in. Ever.

What you build on Jeff belongs to you. Walk away with every agent, every workflow, every intelligence layer fully intact. We are the infrastructure, not the owner of what you create on it.

Any model. Any framework.

OpenAI, Anthropic, Google, open-source. LangChain, CrewAI, Agentforce. Jeff runs them all under one control plane. You’re never dependent on one provider’s roadmap.

“Lyzr was the only vendor that could articulate and then deliver what happens after the demo. Most platforms stop at the POC. Lyzr stayed through production.”

Awards & Recognition

Industry leaders recognize Lyzr’s impact

From Gartner to CB Insights, leading analyst firms and technology partners recognize Lyzr as a pioneer in responsible, enterprise-grade agentic AI.

Tech Innovator in Agentic AI

Recognized by Gartner for pioneering innovation in agentic AI architecture.

Top AI Agent Builder Software

Awarded by G2 as a leading platform for building enterprise AI agents.

Gen AI Innovator 2025

Named AWS Gen AI Innovator 2025 for responsible generative AI deployment.

Summer 2026 APAC High Performer

Recognized by G2 as a High Performer across the Asia Pacific region.

Top 100 AI Startup

Listed among CB Insights’ 100 most innovative AI startups globally.

AI Agent Platform for HR & BFSI

Recognized as a leading AI agent platform for HR and BFSI sectors.

Strong on offense.
Serious on defense.

Lyzr is built for enterprise security, governance, and compliance across identity, data, access, and infrastructure.

  • cert gdprGDPR Compliant
  • cert soc2SOC 2 Type II
  • cert isoISO 27001 Certified
  • cert hipaaHIPAA Compliant
  • cert ccpaCCPA

PLAYBOOK2026

How to take agents to production

A practical guide to turn AI prototypes into reliable, production-ready agents.

READ THE PLAYBOOK

TEMPLATE2026

108 Agentic Use Cases for Customer Support

Browse customer support use cases, copy agent prompts, and deploy agents in weeks not quarters.

READ THE TEMPLATE

BLOG2026

How MSP Corp Designed a Governable AI Support Architecture Across Chat and Voice

How MSP Corp enabled structured responses and oversight for AI support across chat and voice.

READ THE BLOG

Questions worth asking

Frequently asked questions

If you’re thinking it, Jeff has already answered it.

A chatbot answers questions from a script. An Agentic OS reads the customer’s intent, pulls the full account history, resolves the issue across your systems, and updates every downstream record. It handles the work, not just the conversation.

No. Jeff integrates with Zendesk, Salesforce Service Cloud, Intercom, Freshdesk, Kustomer, Gorgias and your knowledge base. It sits as a resolution layer above your existing helpdesk. Nothing migrates.

First agents handle live ticket flow within 14 days of integration. Full coverage across channels (email, chat, voice, social) and tiers in 30 days. This is production, not a pilot.

Every interaction is scored on resolvability, customer value and policy risk. Routine resolutions execute end-to-end. Edge cases route to the right agent with the full context already attached. You set the thresholds.

You do. Jeff runs in your cloud. Transcripts, training signal and resolution data stay in your environment and are never used to train external models.

Yes. Jeff orchestrates existing macros, IVR flows and any bots you’ve built on LangChain, CrewAI, Agentforce or vendor platforms, without rebuilding them.

PII redaction, consent capture and per-region routing are enforced before any action. SOC 2 Type II, GDPR, HIPAA-compatible and audit-ready logs for every interaction.

Jeff reports cost per resolution, deflection rate, CSAT delta, repeat-contact rate and revenue retained on at-risk accounts, tied back to the objectives you set.

When you’re ready

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.