EMERGING PARTNER PLAYBOOK

How to Build a
$10M AI Practice

Only 5% of enterprise agents make it to production. This is the playbook for consulting firms that want to be on the right side of that number — without building from scratch.

$1M
year 1 · $10M by year 3
4
person team
13
partners signed
$250M
platform valuation
BEFORE WE START

A four-person firm hit $1M in nine months. They’re targeting $10M by year three.

A consulting firm signed up with no AI engineers, no proprietary models, and no R&D budget. Nine months later, they’d crossed $1M in partner-sourced revenue, shipped production AI agents to enterprise clients, and built an active co-sell motion with AWS. They’re now on a trajectory to $10M, expanding across verticals, cross-selling functions, and compounding on recurring licensing revenue.

That firm is GoML. This playbook was written so you can do the same thing.

Day 1
Signed up
4 people
No AI team
Month 1
Certified
Studio access
live
Month 3
First POC
$120K
first deal
Month 6
3 clients live
$480K
pipeline
Month 9
$1M crossed · AWS co-sell live
→ $10M
by year 3
WHAT’S INSIDE

Ten Chapters. One Outcome.

Chapter 1
The Shift Happening in Your Market
Why the next 12–18 months determine who leads enterprise AI services.
Chapter 2
From $1M to $10M
Year one milestone, three-year horizon — the revenue model, the math, and the team you actually need.
Chapter 3
The Lyzr Product Suite
Pre-built Agents, Architect, Agent Studio, Git Agent, and Control Plane: five products, five entry points.
Chapter 4
Six Services You Can Sell
Customer Service, HR, Marketing, Sales, and Procurement, priced and scoped.
Chapter 5
Industries & Verticals
BFSI, Healthcare, Fintech, Government, Private Equity, Retail, and more.
Chapter 6
How to Land Your First Deal
Pick the client, start the conversation, scope the POC, handle objections.
Chapter 7
How to Deliver: Week by Week
The 8-week deployment framework, from discovery to go-live.
Chapter 8
Why This Works: The Platform
Accenture, VPC deployment, multi-agent orchestration, and the ecosystem.
Chapter 9
Getting Started
Three steps. Apply, certify, close your first deal.
01
CHAPTER ONE

The Shift Happening in Your Market

Your clients used to ask about “AI strategy.” Now they’re asking about AI agents — software that executes workflows, processes invoices, triages tickets, screens resumes, and monitors compliance. Production systems replacing manual work right now.

Your clients will buy AI from someone

The question is whether they buy from you — or from a competitor who moved faster.

The window is 12–18 months

First movers build case studies and delivery models. Late movers compete against all of that.

You don’t need to become an AI company

You need to become a consulting firm that delivers AI. Lyzr is the platform. The delivery is yours.

02
CHAPTER TWO

From $1M to $10M

THE REVENUE MODEL — YEAR ONE: $1M · THREE-YEAR HORIZON: $10M

Four ways you make money

Primary

Agent implementations

POCs run $30K–$60K. Production rollouts run $100K–$250K. This is consulting work, exactly what your team already does.

Recurring

20% platform rev share

Earn 20% of licensing every year, for the life of the contract. It compounds.

Expansion

Cross-sell & support

One client can generate 3–5 implementation cycles over 18 months as they expand across functions.

New

Pre-built Agent deployments

80% pre-built, 20% adapted to client stack. Fastest path from contract to live agent. Door-opener to full agent practice.

THE PATH TO $1M IN YEAR ONE

6

Paid POCs
@ $40K avg

$240K

4

Production rollouts
@ $150K avg

$600K

8

Clients on licensing
@ $20K avg

$160K

Total

$1M

9–12 months
3–5 people

→ $10M BY YEAR 3

THE THREE-YEAR HORIZON — $10M

Year one gets you to $1M. The compounding starts after that.

Year 1

$1M TARGET

6 POCs. 4 production rollouts. 8 clients on recurring licensing. 3–5 person team. AWS co-sell live.

Year 2

$3–4M TARGET

Cross-sell functions to existing clients. Add 2–3 verticals. Expand team. Licensing revenue compounds. First $500K+ deal.

Year 3

$10M TARGET

25+ active clients. Managed AI Ops recurring. Multi-cloud co-sell. Packaged service offerings. Team of 12–20.

GoML reference: $1M in month 9 with 4 people. On trajectory to $10M through expansion, cross-sell, and compounding licensing.

YOUR TEAM

You don’t need AI engineers

1 partner lead — owns Lyzr relationship, identifies opportunities, leads pitches
1–2 solution consultants — your existing delivery people, Lyzr-certified in 4 weeks
1 project manager (can be shared) — manages timelines, coordinates with Lyzr architects

03
CHAPTER THREE

The Lyzr Product Suite

Five products. Four doorways into the platform, one control plane sitting above them all. Lead with the right one for each client.

Sell this

Pre-built Business Agents

80% pre-built, 20% adaptable. Production-ready agents for every major business function — Customer Service, HR, Sales, Marketing, Procurement, Banking, Insurance. No IP fees. Customisable to your client’s stack and policies.

ICP: Functional buyers — CFO, CHRO, CMO, legal, finance
Positioned against: Harvey, Sierra, vertical AI SaaS
Key advantage: No IP fees. Client owns the agent, the data, and the deployment.

Build with this

Architect

No-code AI agent builder. Describe what you want in plain language — Architect builds the agent system and interface. One-click deployment to a shareable URL.

One-Shot Mode: Describe → build in one pass
Guided Mode: Plan → Agents → App, review at each stage
Knowledge Base: Upload client docs, train on their data
Deploy: One-click to a live, shareable URL

Deliver with this

Agent Studio

The full enterprise platform. Configure, deploy, monitor, and govern agents at scale. Multi-agent orchestration, compliance frameworks, usage dashboards, RBAC.

Enterprise Brain: 4-tier RBAC, agent lifecycle governance
Agent Marketplace: Reviewed, approved, published agents
Insights Dashboard: Org-wide GenAI adoption tracking
Responsible AI: PII redaction, hallucination manager, audit trails

OSS / Pro Developers

Git Agent

The open-source agent framework built for pro developers. File-system driven, terminal access, spawns sub-agents, learns skills. JPMorgan-trusted. 2,700+ GitHub stars. Use this as your entry point for OSS-first clients and developer teams who want to build without lock-in.

Positioned against: LangChain, Deep Agents
Protocol: Open GAP (Open Git Agent Protocol)
Proof: Built in 48 hrs what a full Google stack couldn’t. Reliance, STL, Best Buy in pipeline.

CIO / Enterprise Architect

Lyzr Control Plane

The universal control plane that sits above everything. Accepts every agent framework — Lyzr, LangChain, Crew, Agentforce. Manages dev → UAT → pre-prod → prod. Cross-cloud high availability. Lead with this when governance and sprawl are the pain.

Agent Registry: Every agent versioned, environment-tagged
Agent Gateway: Load balancer, policy routing, cross-cloud failover
Approval Flows: Dev → UAT → pre-prod → prod with CISO gates

WHICH PRODUCT FOR WHICH CLIENT

Map the pain to the right doorway. Don’t lead with the platform.

If your client says…Lead with
“Our agents are sprawling across teams and frameworks — no one knows what’s running.”Lyzr Control Plane
“We’re stuck on LangChain, 30 people building, taking forever.”Agent Studio
“Our business teams are frustrated — they can’t build anything.”Architect
“We need working agents for our team fast — no long build cycle.”Pre-built Business Agents
“We’re on Google / AWS and can’t get our agent to production.”Git Agent + Open GAP
“We need a working prototype in 72 hours for an RFP.”Rapid Prototyping (via Lyzr team)
“We know what to build. We just don’t have the team.”Applied AI (via Lyzr team)
YOUR BEST DOOR-OPENER

Lead with a pre-built agent. Practice follows.

Every enterprise client has a function that’s broken — support queues overflowing, HR buried in policy questions, invoices processed manually. Walk in with a working agent for their exact problem. 80% pre-built, deployed in weeks, customised to their stack. No long RFP. No build-from-scratch conversation. Just a live demo of something that solves their pain right now.

80%

Pre-built out of the box

2–4 wk

From contract to live agent

0

IP fees · client owns it

04
CHAPTER FOUR

Six Services You Can Sell

Each one is built around pre-built agents — 80% ready out of the box, 20% adapted to your client’s stack. No building from scratch. No blank-page deployments.

1Best first sale

Customer Service Agents

THE CLIENT PROBLEM
“We’re drowning in tickets. Our support team can’t scale. We’ve tried chatbots and they’re useless.”

What you sell: An AI agent that handles tier-1 queries autonomously — chat, email, voice — connected to the client’s KB and CRM. Powered by Jeff, Lyzr’s Customer Support Super Agent. POC: $30K–$50K. Production: $100K–$200K.

60–70%

Tier-1 deflection

40%

Handle time reduction

90 days

CSAT uplift timeline

2

HR Agents

THE CLIENT PROBLEM
“Our HR team spends 60% of their time answering the same questions. Hiring takes forever and onboarding is a mess.”

What you sell: Policy Q&A, onboarding automation, CV screening, performance reviews, and L&D — all agent-powered. Powered by Diane, Lyzr’s HR Super Agent. POC: $25K–$40K. Production: $80K–$150K.

18 days

Time-to-hire (from 45)

+60%

Day-1 productivity

+7pp

90-day retention uplift

3

Marketing Agents

THE CLIENT PROBLEM
“Campaigns take three weeks to go live. Content is always the bottleneck. We can’t keep up with the pipeline.”

What you sell: Blog Writer, Email Campaign, SEO Optimizer, Content Gap, ABM, and ROI Forecaster agents — all orchestrated. Powered by Skott and Kathy (Competitor Analyst), Lyzr’s Marketing Super Agents. POC: $30K–$45K. Production: $100K–$180K.

Content output

70%

Faster production

+50%

SEO ranking uplift

4

Sales Agents

THE CLIENT PROBLEM
“Our reps spend 60% of their time on admin — updating CRM, writing proposals, chasing leads. They’re not selling.”

What you sell: AI SDR, Deal Nurturer, Lead Enrichment, and Proposal Writer agents that free your client’s reps to close. Powered by Jazon (AI SDR) and Dwight (RFP Scout), Lyzr’s Sales Super Agents. POC: $35K–$50K. Production: $100K–$200K.

31

Meetings/mo (from 12)

14%

Response rate (from 2%)

2 days

Proposal time (from 10)

5

Procurement & Finance Agents

THE CLIENT PROBLEM
“We process 2,000 invoices a month manually. Errors get caught after the fact. Supplier onboarding takes weeks.”

What you sell: Supplier Onboarding, Sourcing, Performance Analysis, Contract Review, and Contract Search agents — end to end. Powered by Lyzr’s Pre-built Procurement Agents. POC: $35K–$55K. Production: $120K–$250K.

40–60%

Cycle time cut

98%

Data accuracy

83%

Fraud loss reduction

6Fastest door-opener

Pre-built Agent POC

THE CLIENT PROBLEM
“We want to see AI working in our environment before we commit. We’ve sat through too many demos that never went anywhere.”

What you sell: A live, working agent for one function — deployed inside the client’s own cloud in 2–4 weeks. 80% pre-built core, customised to their data, workflows, and policies. They see real output, real integrations, real results before any long-term commitment. POC converts to production. Your margin: $30K–$60K POC + $100K–$250K full rollout.

WHAT THE POC DELIVERS

2–4 wk

From kick-off to live agent

80%

Pre-built · no blank-page build

100%

Client owns the agent · no IP fees

Every POC runs inside the client’s own VPC. No data leaves. SOC 2, GDPR, ISO 27001 compliant from day one.

05
CHAPTER FIVE

Industries & Verticals

Where Lyzr agents deliver the fastest, most measurable impact — with dedicated pre-built agent suites for each.

INDUSTRY × FUNCTION FIT

More dots = stronger fit. Use this to match clients to first engagements.

SupportHRMarketingSalesProcurementPre-built
Banking●●●●●●●●●●●●●
Insurance●●●●●●●●●●●●●
Healthcare●●●●●●●●●●●
Fintech●●●●●●●●●●●●●●●
Manufacturing●●●●●●●●●
Telecom●●●●●●●●●●●
Retail / Commerce●●●●●●●●●●●●
Government●●●●●●●●●●●
Private Equity●●●●●●●●●●●
SaaS / Tech●●●●●●●●●●●●
BFSI DEEP DIVE · BIGGEST DEALS IN THE PROGRAMME

Banking & Insurance: 7 live agents, 9 blueprints

01
Customer Onboarding — KYC processing, 14 days → 24 hours, 95% document verification accuracy
02
Banking Customer Service — 20+ background agents, up to 90% query deflection
03
Regulatory Monitoring — Real-time SEC, OCC, Federal Reserve with AI interpretation
04
Claims Processing — 14 days → 3 days, 85% reduction in manual data entry
05
Fraud Detection — Real-time monitoring, 83% fraud loss reduction, false positives cut from 95% to 15%
Pre-built Banking AgentsKYC ProcessingLoan OriginationLoan ServicingPre-built Insurance AgentsPolicy UnderwritingRegulatory ComplianceLitigation Clause Extraction
06
CHAPTER SIX

How to Land Your First Deal

Your first AI deal is sitting in your existing client base.

THE CONVERSATION STARTER

One paragraph. That’s all you need.

“I wanted to share something we’ve been working on. We’re seeing clients deploy AI agents — not chatbots, actual systems that handle tickets, invoices, and HR queries end-to-end. We’ve partnered with a platform that deploys these inside your cloud in 6–8 weeks. Would 30 minutes to show you be worth it?”

The five objections you’ll hear

They SayThey MeanYou Say
“Building AI in-house.”“8 months in, not ready.”“For operational workflows, pre-built agents are faster. Accenture came to the same conclusion.”
“Need ROI first.”“Can’t get budget.”“That’s what the POC is for. One function, 6 weeks, hard numbers.”
“Data security?”“CISO will kill this.”“Everything inside your VPC. SOC 2, GDPR, ISO 27001. FedRAMP-ready.”
“Tried a chatbot.”“Been burned.”“These agents execute workflows — CRM, ERP, HRIS connected. Let me show you.”
“Timing isn’t right.”“Not convinced.”“Your competitors are evaluating now. Can I send a one-pager and check back in 30?”
“We already have Salesforce / Copilot / ServiceNow agents.”“We’re locked in.”“Lyzr is the connective tissue — not a replacement. Your Microsoft AI Foundry agent stuck in prototype? We take it to production. We govern and orchestrate agents from any framework.”
07
CHAPTER SEVEN

How to Deliver — Week by Week

Wk 1–2

Discovery & Architecture

Map workflow, audit data sources, design agent architecture with Lyzr’s solution architect.

Wk 3–4

Build & Configure

Configure agents in Lyzr Studio or Architect — knowledge bases, rules, workflows, integrations.

Wk 5–6

Pilot & Tune

Deploy to a controlled group. Measure against success metrics. Tune accuracy and refine.

Wk 7–8

Go-Live & Handover

Production deployment. Train client team. Present results. Deliver expansion roadmap.

WHO DOES WHAT

Lyzr handles

Platform infrastructure & uptime
AI models, orchestration, guardrails
VPC deployment & security
Pre-built agent templates
Solution architect (first 3 deals)
Platform updates & maintenance

You handle

Client relationship & PM
Discovery, scoping, requirements
Agent configuration & workflows
System integration & testing
UAT & training
Go-live & results reporting
08
CHAPTER EIGHT

Why This Works: Production is the product.

THE CORE EQUATION

Platform + People = Production.

Anyone can have a platform. Anyone can hire people. The combination — plus the lived knowledge of how to ship enterprise agents — is the moat. Only 5% of enterprise agents ever reach production. LangChain, Microsoft AI Foundry, Salesforce Agentforce — the market is saturated with builders. Nobody has the know-how to get to production. Lyzr does. And now, so do you.

5%

of agents reach production

$10M

GoML 3-year target
$1M in month 9

8wk

pilot to production

$250M

platform valuation

THE ACCENTURE PROOF POINT

Accenture didn’t just invest. They built on it.

Accenture led Lyzr’s $14.5M Series A+. They built their CVC Agent on Lyzr, deployed it internally, and are now co-selling across banking and insurance. When the world’s largest SI goes to production, that’s proof.

Lyzr Platform
Watch on YouTube →
Accenture Invests in Lyzr
Official press release — Accenture brings agentic AI to banking and insurance
READ →

VPC deployment

Every agent inside the client’s cloud. No data leaves. SOC 2, GDPR, ISO 27001, HIPAA, FedRAMP.

Multi-agent orchestration

Multiple agents coordinate: read → validate → route → approve. Not chatbots — workflow engines.

Responsible AI built in

PII redaction, hallucination manager, confidence scoring, audit trails. Architecture-level, not bolted on.

Open-source core

No vendor lock-in. MCP-native. Client owns the deployment, the data, and the IP.

PARTNER ECOSYSTEM

Built with the best. Deployed by the best.

STRATEGIC INVESTORS & SI
AccentureJ.P. Morgan ChaseKPMGDeloitteYour firm
ENTERPRISE CUSTOMERS
PepsiCrown CastleUS GovernmentRelianceBest BuySTL
CLOUD & INFRASTRUCTURE
AWSGoogle CloudNVIDIA
PRODUCTS
LyzrGPTAgent StudioArchitectResponsible AIKnowledge Graph
SUPER AGENTS
Jeff (Support)Diane (HR)Skott (Marketing)Jazon (Sales)Kathy (Competitor)Dwight (RFP)Amadeo (Banking)Benjie (Insurance)
09
CHAPTER NINE

Getting Started — Three Steps

1

Apply & onboard

Submit at lyzr.ai/partners. Get a Partner Success Manager, Lyzr Studio access, Architect access, demo environments, and the full asset library.

Week 1–2

2

Run your first deal

Pick one function and lead with a pre-built agent POC. Use the GTM kit to pitch, run the live demo, and Lyzr architects support you throughout.

Week 3–8

3

Scale your practice

Cross-sell across functions. Activate co-sell with AWS, GCP, NVIDIA. Hit $1M in year one. Build toward $10M by year three.

Month 3+

EVERYTHING YOU NEED TO GET STARTED
THE BOTTOM LINE

Your clients are asking for AI.

13 partners signed. 16 in discussion. Capped at 25. GoML did $1M in 9 months with four people — and they’re targeting $10M by year three. Pre-built agents give you a door-opener at every client. Agent Studio gives you the delivery engine. Architect lets your team build without code. Platform + People = Production. The question isn’t whether to start — it’s whether you start in 90 days or spend 18 months building alone.

13 of 25 partner slots filled

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