Viral Digital Labs presents
AI EXPRESS
Build. Automate. Evaluate. Deploy.
A 16-week practical program for AI-powered business, sales, marketing, recruitment, operations and automation. Minimal theory. Maximum practical implementation.
Learn AI → Build AI systems → Evaluate AI → Deploy AI → Earn with AI
Built by a revenue leader, not a lecture hall.
Viral Digital Labs is an AI revenue transformation and GTM engineering consultancy, built by Abhishek "Sharanjee" Sharan after 25+ years in enterprise software sales, including a long run as AVP Sales, North America at Newgen Software. AI Express teaches the same systems VDL builds for founders and revenue leaders.
Who can use AI Express?
If your income depends on getting work done or getting someone to say yes, this program is built for you.
Sales professionals
Build AI-powered prospecting, research and sales systems.
Digital marketers
Build AI-powered content, advertising and funnel systems.
Agency owners
Turn AI workflows into productized services.
Founders & consultants
Build AI systems around your own business.
Students & career switchers
Develop practical AI automation and agent-building skills.
Recruiters & RPO
Build AI sourcing, screening and recruitment workflows.
Operations & finance
Automate documents, reporting, analysis and repetitive work.
Freelancers
Turn AI systems into client services.
From prompt user to AI system builder.
Most AI courses teach Prompt → Answer. AI Express teaches the full path from a business problem to a monitored production system.
Learn
- LLMs and prompting
- AI research
- Agents and voice AI
- Automation, RAG, APIs
- AI evaluation
Build
- Business workflows
- Agents and automations
- Dashboards
- Knowledge systems
Test
- AI EVAL and JEV
- Accuracy, groundedness
- Reliability, safety
- Cost, latency
Deploy
- Human approval
- CRM, email, WhatsApp
- Web and APIs
- Business systems
Sell
- Freelance projects
- Productized services
- Retainers and consulting
- Fractional AI ops, agency
The 6-pillar framework: the complete AI business stack.
AI work
Research, analysis, content, documents and productivity.
AI agents
Agents, RAG, tools, APIs and decision workflows.
AI automation
Make, CRM, email, WhatsApp, voice, databases and APIs.
AI EVAL + JEV
Testing, judging, validation, scoring, monitoring and improvement.
AI business applications
Sales, marketing, recruitment, finance, support, research and operations.
AI deployment
Human-in-the-loop, security, governance, monitoring, SOPs and client delivery.
21 practical AI applications
You won't build all of them as production systems. You pick the ones that fit your career, industry or business.
How a business AI agent works.
Eight layers, from the moment an input arrives to the moment an approved action reaches your systems.
1Input
Form, chat, voice call, email, spreadsheet, document, API
2Brain
LLM, instructions, reasoning, structured outputs
3Knowledge
Business documents, FAQs, product info, RAG, databases
4Research
Web, company and market research, intent signals
5Tools
CRM, email, Sheets, databases, APIs, WhatsApp, ad platforms
6Agent logic
Routing, scoring, tool selection, retries, approvals
7JEV + EVAL
Judge, evaluate, validate, score, monitor
8Action
Update CRM, send, report, create tasks, escalate, request approval
Don't just build AI. Prove that it works.
Every production AI system needs evaluation. AI Express adds JEV (Judge, Evaluate, Validate) as the quality-control loop on everything students build.
Accuracy
Is the answer correct?
Relevance
Did it answer the actual question?
Completeness
Did it miss important information?
Groundedness
Is it supported by evidence?
Instruction following
Did it follow the workflow?
Consistency
Reliable across similar inputs?
Tool accuracy
Right tool, used correctly?
Safety
No unauthorized or unsafe actions?
Cost
How expensive is each run?
Latency
How quickly does it respond?
The JEV control loop
- Generate. AI creates the output.
- Judge. A second layer asks: is it correct, relevant, complete, grounded, and did it follow instructions?
- Evaluate. The output receives measurable scores.
- Validate. Checked against rules, source data, expected answers, business requirements and human approval.
- Action. Only approved outputs move into external systems.
- Learn. Failures become new test cases.
Example: lead qualification agent
Input: company, industry, size, role and hiring signal. Expected: US SaaS, over 200 employees, relevant technology, active hiring signal.
AI EVAL lab
Build a 100–500 input test dataset. Each row holds the input, expected behaviour, reference answer, criteria, actual output, score, pass/fail and error category.
Agent testing lab
Break intentionally imperfect systems: hallucinations, wrong tools, poor retrieval, prompt injection, data leakage, excessive API calls, poor escalation. Detect → diagnose → fix → re-test → document.
What you hand over
An AI Agent Quality Report, plus JEV rules and an evaluation dataset for every major project.
17 business AI engines you'll build.
Pick an engine to see the workflow and what it produces. Every one runs through JEV and a human checkpoint before it touches a customer.
AI Lead Generation Engine
From target market to qualified opportunity.
You ship
- ICP scorecard
- 100-account database
- Lead scoring model
- Top 20 prospects with evidence links
EVAL
- ICP accuracy
- Intent accuracy
- Contact accuracy
- Evidence quality
AI Sales Machine
An AI copilot that researches, drafts and follows up.
Outputs
- Account and contact research
- Outreach and follow-up
- Objection handling
- Discovery-call prep
Deliverables
- Cold email + LinkedIn sequences
- Objection library
- Pipeline dashboard
- CRM updates
AI Voice Bot
Inbound and outbound calls that qualify leads and book meetings.
You build
- Voice bot that calls, qualifies and books
- Voice call script + qualification flow
- Calendar and CRM hand-off
Stack
- Voice AI platform + telephony
- Speech-to-text + LLM + text-to-speech
- Make automations
AI Marketing Engine
Positioning to published, measured campaigns.
AI generates
- Positioning and segments
- Hooks, ad angles, headlines
- Primary text and creative concepts
- Landing-page copy, emails, social
JEV checks
- Message match
- Claims and accuracy
- Brand consistency
- CTA and audience fit
Performance Marketing Funnel
A complete Meta Ads and landing-page system.
Landing page variants
- A: problem-led
- B: outcome-led
- C: proof-led
- Form, CRM, WhatsApp, analytics
Testing matrix
- Headline × offer × CTA × audience × creative
- Winning and weak creative
- Cost trends and conversion issues
AI Recruitment Engine
A digital recruitment assistant, with recruiters in charge.
Applications
- AI sourcer
- CV screening agent
- Candidate matching agent
- Interview agent
- Recruitment coordinator
AI Interview Evaluation
From interview recording to structured report.
AI extracts
- Technical skills and experience
- Communication and problem solving
- Role competencies
- Candidate claims
Principle
- AI assists the evaluation
- Humans own consequential hiring decisions
AI Customer Support Engine
A 24×7 support agent that knows when to escalate.
System records
- Question, answer, source
- Confidence and resolution
- Escalation and feedback
EVAL
- Correct answer rate
- Resolution rate
- Escalation accuracy
- Groundedness, response time, CSAT
AI Finance & Document Engine
Turn documents into business decisions.
Extracted
- Vendor, date, amount, tax, due date, PO
- Parties, payment terms, obligations, renewals
EVAL
- Every conclusion traceable to its source document
AI CFO Assistant
From document processing to financial intelligence.
Produces
- Cash-flow summary
- Revenue and expense trends
- Variance analysis and anomalies
- Overdue invoices and management questions
EVAL
- Calculation accuracy
- Extraction accuracy
- Source grounding
AI Market & Competitor Intelligence
Evidence-backed market intelligence reports.
Researches
- Companies, competitors, products, pricing
- Hiring, technology, news
- Customer signals and market trends
AI RFP / Proposal Engine
The RFP Response Accelerator.
Identifies
- Mandatory and technical requirements
- Commercial requirements
- Deadlines and evaluation criteria
- Missing information
AI Content Engine
One piece of content becomes 20 assets.
Assets
- LinkedIn, X, Instagram posts
- Blog, newsletter, email
- Short-video scripts and reel hooks
- YouTube description, FAQ, lead magnet
JEV checks
- Factual accuracy
- Brand and message consistency
- Unsupported claims
AI CRM Intelligence
Turn CRM data into action.
Detects
- Duplicates and missing fields
- Stale and no-next-step deals
- Inactive accounts and follow-up gaps
Creates
- Follow-up tasks
- Account and pipeline summaries
- Risk alerts and recommendations
AI Sales Call Intelligence
Turn every sales call into data.
Extracts
- Problems and requirements
- Objections, budget, timeline
- Decision process, competitors, next steps
AI Content + Community Engine
An AI-operated community around your offer.
In the community, AI
- Welcomes members
- Distributes replays
- Answers common questions
- Spots engagement opportunities
JEV
- Public content reviewed before it goes out
Company Knowledge Assistant
RAG over documents, FAQs, SOPs, policies, contracts and training material.
RAG EVAL
- Retrieval accuracy and relevance
- Citation accuracy and groundedness
- Hallucination rate
- Latency and cost per query
Production AI you can trust.
If you can't measure it, you can't operate it. Students learn observability, security, governance and where humans stay in control.
Business metrics
- Conversion and leads
- Revenue and resolution
- Appointments and applications
- Cost savings
AI metrics
- Accuracy and groundedness
- Hallucination rate
- Tool success and failure rate
- Latency, token usage, cost
Operational metrics
- Errors and retries
- Escalations
- Human approvals
- API failures
Governance framework
Risks covered: prompt injection, data leakage, unauthorized tool use, incorrect permissions, cross-customer leakage, sensitive data exposure, unsafe automation and incorrect external actions.
Who
Who can use the agent?
What
What data can it access?
Which tools
What actions can it perform?
When
When does it need approval?
How
How is every action logged?
AI should
Research, extract, classify, summarize, score, draft, recommend and detect anomalies.
Humans control
Sensitive decisions, external commitments, financial approvals, hiring decisions, legal interpretation, high-risk communication and irreversible actions.
AI → JEV → Human → Action
The 16-week program, week by week.
Select a week to see what you learn and what you ship.
Phase 1 · Foundations
Week 1: AI for work
Prompt patterns, structured outputs, fact checking, task decomposition, AI workbench, agent specifications.
You build
- Meeting-summary workflow
- Proposal generator
- Personal AI knowledge base
- Agent specification
Phase 1 · Foundations
Week 2: AI research & analysis
Competitor and market research, document analysis, PDF Q&A, evidence gathering.
You build
- Document extraction system
- Executive summary system
- Research agent
- Document-analysis agent
Phase 1 · Foundations
Week 3: Sales using AI
ICPs, prospecting, qualification, personalization, discovery and pipeline.
You build
- ICP scorecard
- 100-account database
- Qualification model and lead scoring
- Personalized outreach
- CRM automation
Phase 1 · Foundations
Week 4: Build an AI lead generation agent
An agent that defines ICP, discovers accounts, enriches data, finds decision-makers, detects intent, scores, drafts outreach, routes for approval, logs results and creates follow-ups.
You build
- Working lead generation agent
- JEV + EVAL layer
Phase 1 · Foundations
Week 5: Digital marketing + Meta Ads
Offer → audience → problem → promise → proof → CTA. Funnel thinking and one-variable testing.
You build
- Audience segments and offers
- Ad angles and hooks
- Primary text and headlines
- Creative concepts
- Testing matrix
Phase 1 · Foundations
Week 6: Landing pages that convert
Message match, mobile-first layout, lead capture and tracking. JEV reviews messaging before publication.
You build
- Live landing page
- Lead form
- CRM/WhatsApp integration
- Analytics and conversion tracking
- 2–3 variants
Phase 2 · Implementation
Week 7: Lead generation sprint
Choose one real niche and build a qualified pipeline with evidence.
You build
- Target account database
- Decision-maker data and intent signals
- Lead scoring with evidence links
- Top 20 prospects + outreach
- EVAL: ICP, intent, contact accuracy
Phase 2 · Implementation
Week 8: AI sales machine + voice bot
Lead → research → draft → JEV → human approval → send → classify → CRM → follow-up.
You build
- Cold email + LinkedIn sequences
- Discovery-call prep and objection library
- AI voice bot that calls, qualifies and books
- Voice call script + qualification flow
- Pipeline dashboard
Phase 2 · Implementation
Week 9: AI marketing project
A real product, a real conversion goal. JEV evaluates audience fit, offer consistency, claims, brand and CTA.
You build
- 3 segments, 5 angles
- 10 hooks, 5 primary texts, 5 headlines
- Creative testing system
- Optimization agent
Phase 2 · Implementation
Week 10: Landing page systems
Three variants for a real business, packaged as a productized service.
You build
- Problem-, outcome- and proof-led pages
- Form, CRM, WhatsApp, analytics, tracking
- Headline × offer × CTA testing matrix
Phase 2 · Implementation
Week 11: Finance + document AI
Source-grounded EVAL on every financial output.
You build
- Invoice agent
- Bank statement agent
- Contract agent
- Proposal comparison agent
Phase 2 · Implementation
Week 12: Final capstone
One real business problem, solved end-to-end with agent, automation, JEV, human control and EVAL.
You build
- Working demo
- Architecture diagram and SOP
- Evaluation dataset and report
- Business case
- 5-minute demonstration
Phase 3 · Launch
Week 13: Package
Turn your systems into something people can buy.
You build
- Service or productized service
- Consulting offer or automation package
- Retainer
- Pricing and one-page portfolio
Phase 3 · Launch
Week 14: Land
Pitch with your capstone as proof. Prospect with your own AI lead generation engine.
You build
- Target list from your own agent
- Outreach sequence
- First client conversations
Phase 3 · Launch
Week 15: Deliver
Run the system for a client, employer, agency or your own business.
You build
- Live delivery
- Tracked results
- Documented case study
Phase 3 · Launch
Week 16: Scale
Review results, quality, EVAL, client feedback and economics.
You build
- Price review
- Next 90-day plan: freelance, retainer or in-house AI operator
Phase 4 · Ongoing
Continuous AI R&D
Keep systems and skills current as AI changes.
You get
- Monthly R&D briefings
- Office hours
- Updated template and prompt library
- Alumni community and deal referrals
Week 12 capstone: pick one real business problem
Every capstone has five layers
Deliverables: working demo, architecture diagram, SOP, evaluation dataset and report, JEV rules, human approval workflow, business case and a 5-minute demonstration covering the problem, architecture, live workflow, JEV + EVAL results and commercial opportunity.
Turn AI fluency into income.
Most small and mid-sized businesses can't hire a growth team. They can pay someone who runs one on AI. That gap is the income this program is built to help you capture.
Freelance projects
Short projects on Upwork, Fiverr, Freelancer, LinkedIn, Toptal and PeoplePerHour.
$50–$500+ per project
Retainer clients
Ongoing lead gen, content or ads for small businesses.
$500–$5,000 per month
Fractional GTM roles
Work part-time with companies as a fractional GTM operator.
$1,000–$10,000 per month
Productized services
Packaged workflows, like 100 leads in 30 days or an ad setup.
$299–$2,999 per package
Teach & create courses
Courses, workshops and templates.
$500–$10,000 per launch
Your own AI agency
A small team serving multiple clients.
$5,000–$50,000+ per month
What a graduate can sell
AI lead generation
Prospecting, intent and outreach
AI sales automation
Research, personalization and CRM
AI marketing
Ads, content and landing pages
AI recruitment
Sourcing, screening and interview support
AI customer support
Knowledge, response and escalation
AI finance automation
Documents, extraction and reporting
AI research
Market and competitor intelligence
AI knowledge systems
RAG over company knowledge
AI agent evaluation
Testing, JEV and quality monitoring
AI automation consulting
End-to-end workflow automation
AI voice agents
Inbound and outbound calls, qualification, booking
Ads + landing pages
Package weeks 9–10 as a $500–$3,000 service for any small business already spending on Meta.
The AI EVAL Audit
Businesses increasingly ask, "Can I trust this AI system?" You map the workflow, build a test dataset, run and score test cases, find failure modes, implement JEV and approval rules, and deliver an AI System Evaluation & Reliability Report.
The AI Agent Health Check
A 10-point audit: objective clarity, input quality, instructions, knowledge, retrieval, tool accuracy, JEV quality, human controls, observability and business outcome. Output: what works, what fails, why, what to change and how to measure it.
Build, sell and scale your own AI product
Pick one SMB, one painful problem and one measurable outcome. Lead generation, appointment setting, customer reactivation, reviews, content, WhatsApp sales, proposals, local SEO, quote follow-up or business analytics.
Free attraction offer
25 free leads
Core product
$49 Starter
Upsell
$149 Pro
Continuity
$399+ Scale
The $100M Money Model principle: a sequence of offers that raises customer value and speeds up cash.
Learn by building. Graded on what works.
| Component | Weight |
|---|---|
Judged on a working system, business usefulness, AI quality, EVAL evidence, JEV controls, human oversight and documentation.
| EVAL dimension | Example target |
|---|---|
Targets are project-specific acceptance criteria, not universal guarantees.
Your portfolio after 16 weeks
Core portfolio
AI research report, lead-generation workflow and database, sales copilot, outreach assets, AI voice bot demo and call script, Meta Ads campaign, landing pages, finance/document workflow, an end-to-end AI agent and SOPs.
AI quality & production portfolio
Evaluation dataset, JEV framework, AI Quality Report, RAG evaluation, agent testing report, observability dashboard, human-in-the-loop workflow, governance checklist, production capstone and a client case study.
Tool stack, practical first
| Area | Tools |
|---|---|
AI handles the repeatable work. You keep the judgment.
AI is excellent at
Research, classification, extraction, summarization, pattern recognition, drafting, personalization, data transformation, repetitive workflows, first-level analysis, generating alternatives, monitoring defined signals and connecting business tools.
Humans do better at
Business judgment, accountability, relationships, negotiation, ethical and strategic decisions, high-impact hiring, complex customers, ambiguous situations, final approval of sensitive actions, defining objectives and deciding acceptable risk.
Five career paths
AI automation specialist
Build business workflows.
AI agent builder
Build tool-using agents.
AI evaluation specialist
Test and validate AI systems.
AI business consultant
Find opportunities and design solutions.
AI-powered entrepreneur
Build and sell AI products and services.
The course doesn't end at week 16.
AI platforms change every few months. Alumni keep getting new tools, models, agent frameworks, evaluation methods, templates, prompts, workflows and client opportunities.
Don't just learn AI.
Build with it. Automate with it. Evaluate it. Control it. Deploy it. Sell it.
Reserve your seat.
Tell us who you are. Pressing the button opens WhatsApp with your details filled in, so our team can share the next cohort date, fees and a call slot.