Jeff: The Agentic OS for the Enterprise customer service Function
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
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.
Trusted by enterprises worldwide

Enterprises that run on
Lyzr agents

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.

Customer Service Agentic OS Control Plane INTELLIGENCE IN CONTROL PLANE EXECUTION OUT CRM ticket data Product usage logs Knowledge base SLA policies Customer history Sentiment signals Escalation rules Customer Service Agentic OS Control Plane LIVE LYZR AI · JEFF · MODEL AGNOSTIC · SOVEREIGN CLOUD · ANY LLM Objective engine CSAT goal → execution plan Intelligence layers Ticket · sentiment · SLA risk Agent registry 400+ agents · activated by objective Orchestration Coordinate across channels & tiers Governance Logged · validated · human-in-loop Memory & feedback Every resolution improves the next Platform agnostic Zendesk · Salesforce Service · Intercom · Freshdesk · custom agents Any LLM · Any cloud · Any stack · Bring or build agents Tickets resolved SLAs met CSAT improved Escalations routed Knowledge updated Trends surfaced CRM synced OUTCOMES → CSAT GOALS
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.

Your CSAT score looks acceptable. Do you know which customer interactions right now are quietly building toward churn?

Jeff reads sentiment patterns, repeat contact rates, unresolved issue clusters, and engagement drop signals across your entire customer base. It surfaces churn risk before a customer cancels so your team acts when the relationship can still be saved.

Your agents resolve tickets. Do they know which issues keep coming back and why your knowledge base hasn’t 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 not just the symptom.

When a high-value customer contacts support with a problem, how fast does your team recognise what’s actually at stake?

Jeff builds a live context profile per customer account value, contract tier, history of interactions, product usage patterns, and open risk and surfaces it the moment a contact comes in. Your agents don’t treat a $500K account like a standard ticket.

If your support volume doubled tomorrow, what breaks first your SLAs, your team’s morale, or your customers’ patience?

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.

1
Your service stack stays. Jeff sits above it.

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. Your agents keep working the way they work.

Zero rip-and-replace
Jeff is not a helpdesk replacement. It’s the intelligence layer that makes every channel you already run work harder for your customers.
2
State the experience objective. Jeff builds the plan.

Not a ticket SLA. A goal. “Reach 90% first-contact resolution.” “Reduce average handle time by 30%.” “Proactively resolve the top 10 recurring issue categories before they become tickets.” Jeff reads your live interaction data and returns a ranked execution plan by channel, by issue type, by action with reasoning attached.

Experience-first, always
If it doesn’t trace back to your experience objective, Jeff won’t surface it. Every action on the plan earns its place.
3
The right agents activate. You don’t choose them.

From 400+ agents, Jeff calls what’s relevant to the issue type and channel context triage, resolution, escalation, proactive outreach, knowledge base update, root cause analysis. Build new agents at will. Bring existing ones from any framework. All run under one control plane.

400+ agents · Activated by objective
You define the experience outcome. Jeff decides which agents get to work on it.
4
Jeff resolves, measures, and comes back with insights.

Issues get resolved. Customers respond. Jeff tracks every outcome against your experience objective what improved CSAT, what reduced repeat contacts, what patterns signal product or process failures upstream. It doesn’t report on ticket volume. It reports on customer outcomes.

Every output loops back
Resolution patterns feed every next interaction. 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.

The question you’re already asking

Your data. Your agents.
Your call. Always.

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.

Compliance & control
SOC 2 Type II
Certified
GDPR
Ready architecture
HIPAA
Compatible
EU AI Act
Compliant path
Private cloud
Deploy option
ISO 27001
Aligned
Works with your stack
LangChainCrewAIAgentforceOpenAIAnthropicGoogleAWSAzureGCP
Why customers choose Lyzr 01 / 03
Accenture

“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.”

A
Accenture Ventures
VP of Technology
AirAsia Move

“We achieved a 95% reduction in agent response time across markets. No other platform gave us the observability and control we needed to actually trust our agents in production.”

A
Air Asia Move
Chief Technology Officer
Willis Towers Watson

“Lyzr gave us a team that understood what production-grade AI means in a regulated environment. They didn’t just ship they helped us think through compliance, auditability, and scale.”

W
Willis Towers Watson
Head of Digital
Recognized by leading analysts Recognized by leading analysts
Security & Compliance
GDPR Compliant
SOC 2 Type II
ISO 27001 Certified
HIPAA Compliant
CCPA
Questions worth asking

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

Set the objective. Watch the function move.

30 minutes with the team. You define the goal. We show you exactly what changes.

Deployed in your environment · Your data stays yours · Your agents, always