01
Business CRM
Structured leads, contacts, companies, opportunities, activities and follow-ups.
Customers stop living in spreadsheets, chats and individual memory.
Faster response, consistent follow-up, visible pipeline
AI Automation & Business OS Program 2026–2027 — learn to build an AI-powered business operating system
Live online course · Batch 2026–2027 · Enrolment open
Don't just learn AI. Make AI work for you.
A 3-month, project-based AI & Automation course where you don't study tools — you build with them. Under a mentor's guidance, you design and automate real business systems: something that helps your business, and something that builds your career.
- 3-month practical program
- 45–55 live sessions
- Project-based learning
- Outcome-driven
Course fee · Batch 2026–2027
₹49,999₹29,999+ 18% GST
Limited-period learner offer — you save ₹20,000. 3 months · 15 modules · 45–55 live sessions · capstone included.
Your mentor
Chandan Maheshwari
Founder, School of AI & AIVIO Intelligence · Business coach
16 years of experience · mentored 1,500+ business owners & professionals. Teaches you live, builds alongside you, and reviews every project you ship.
16 yrs experience1,500+ mentoredLive teachingProject reviews
Who this is for
Only for serious and curious AI learners.
If you are genuinely serious about entering the AI vertical — not just collecting tool names, but learning to build and operate AI-powered business systems — this program is designed for you.
Students
Build real systems, not just tool tutorials. Graduate with a portfolio that shows business impact.
Working Professionals
Stop competing with AI. Learn to redesign work around it and become the person who applies AI at work.
Business Owners
Turn scattered tools and manual work into connected, documented business systems that scale.
Curious AI Learners
Move beyond surface-level AI tools. Understand the architecture, build the system, see it run.
Not sure if you fit? Ask us on WhatsApp — we will give you a straight answer.
The real problem
Your business is already generating data. The problem is that it is scattered.
Most businesses do not suffer from a lack of data. They suffer from disconnected data, disconnected processes and disconnected communication.
Scattered information
- Website
- Social media
- Forms
- Spreadsheets
- CRM
- Documents
- Customer chats
- Sales activity
- Operations
- HR
- Finance
- Support
What it costs the business
- Duplicate work
- Manual data entry
- Delayed responses
- Lost leads
- Poor follow-up
- Operational bottlenecks
- Information silos
- Reporting delays
- Decision bottlenecks
- Higher operating costs
Connected business data
One customer record
Customer → conversations → leads → orders → support
One process library
Trigger → data → decision → action → follow-up
One intelligence layer
AI reads, classifies, extracts and recommends
One visibility layer
Dashboards, KPIs, alerts and exceptions
The Business OS changes the architecture — not just the tools.
Stop running your business through disconnected tools, spreadsheets, conversations and people's memory.
Talk to Us About Your BusinessThe core concept
What is an AI-powered Business Operating System?
Instead of isolated tools for different parts of the business, a Business OS is a connected operating layer where information moves across departments and processes. Select a layer to see what it does.
Business Outcomes
AI Intelligence
AI as the intelligence layer inside processes: reading documents and conversations, judging intent and urgency, drafting responses, suggesting next actions.
- Understand
- Classify
- Extract
- Reason
- Generate
- Recommend
The shift: tool-centric → system-centric
A channel is only an entry point. An AI model is only an intelligence layer. An automation platform is only an execution layer. The value appears when these work together around real business processes and data.
Discuss Your AI Automation OpportunitiesThe journey
From learning AI to running an AI-powered Business OS.
One path, eight moves, three months. Each step builds on the one before it — you finish with a working system, not a certificate of attendance alone.
Month 1
Understand + Design
- AI foundations for business
- Business mapping & process engineering
- Business data architecture
- Your Business OS blueprint
Month 2
Build + Automate
- CRM & business data systems
- AI workflows that take real actions
- Chatbots and task-oriented agents
- Cross-functional automation
Month 3
Integrate + Optimize
- Communication systems (WhatsApp, email, voice)
- Dashboards & KPIs
- AI-native internal applications
- Capstone Business OS + impact model
Approx. 45–55 live sessions · 3 sessions a week · 60 minutes each. In three months you gain the architecture and capability to start building a CRM/ERP-like Business OS — we do not claim a universal ERP in 90 days.
Ask About the ScheduleHands-on output
What will you actually build?
The program is designed around systems rather than isolated demonstrations. By the later stages, individual capabilities are connected into one business architecture.
02
Business Data System
A connected place for records, documents, conversations and operational information.
Every workflow and every AI step needs reliable business context.
Capture once, reuse everywhere
03
AI Workflows
Multi-step processes where AI understands information and triggers the next action.
AI becomes part of the process instead of a separate chat window.
Less manual processing, fewer delays
04
AI Chatbots
Conversational interfaces connected to knowledge, data and business actions.
Customers get answers with context, not scripted replies.
Lower support load, better experience
05
AI Agents
Task-oriented systems using knowledge, tools and defined actions with human escalation.
Some work needs judgement and steps, not a single answer.
More execution capacity per person
06
Communication Systems
Website, WhatsApp, email, social and voice connected to the Business OS.
Channels are entry points into the business, not separate islands.
Context-aware responses, nothing lost
07
Departmental Automation
Sales, marketing, operations, HR, finance and support workflows on shared data.
Departments share the same records and logic.
Fewer handoffs, less rework
08
Intelligent Dashboards
KPIs, operational status, workload, exceptions and AI-generated insights.
Management should see the business, not assemble reports.
Faster decisions, earlier interventions
09
AI-Native Applications
Internal tools, portals, forms and approval systems people actually use.
A system only works if the team can operate it.
Standardised process execution
10
End-to-End Business OS
A connected prototype built around a real business problem.
The architecture is proven on a real process, with a real metric.
A measurable before → after
You will not finish with a generic product that magically runs every business. You finish able to design, build, connect and improve a Business OS around the processes, data and economics of a real business.
Ask What You'd BuildHow it works
One repeatable pattern behind almost every business process
Most business use cases decompose into the same system pattern. Learning the pattern makes the capability transferable across industries.
01
Capture
An enquiry, document, message, call or internal request arrives.
02
Understand
AI reads it and identifies intent, category and urgency.
03
Structure
Unstructured information becomes a business record.
04
Decide
Rules and AI reasoning choose the path: qualify, route or escalate.
05
Act
The system updates records, assigns tasks and raises approvals.
06
Communicate
The right response goes out on the right channel.
07
Record
Every activity is written back to the connected data layer.
08
Measure
Response, cycle time, conversion and cost are tracked.
09
Improve
Bottlenecks are found and the process is redesigned.
Worked example · inbound enquiry
One message, one connected flow
Customer sends an enquiry
AI understands the intent
Business data is retrieved
Lead is qualified
CRM is updated
Follow-up is triggered
Customer receives a response
Sales team gets the right context
Management dashboard updates
Performance can be measured
Human oversight and exception handling stay part of the design — the system escalates what it should not decide alone.
Practical use-case library
What problems can you solve with this?
Fifteen end-to-end flows from the curriculum. Each one is a small Business OS: capture, understand, structure, decide, act, communicate, record, measure.
AI Sales Agent
- ├Enquiry
- ├Conversation
- ├Qualification
- ├CRM
- └Follow-up
Voice Calling Agent
- ├Call
- ├Understand
- ├Respond
- ├CRM
- └Escalate
WhatsApp Lead Flow
- ├Message
- ├Intent
- ├AI
- ├CRM
- └Action
Customer Support Bot
- ├Question
- ├Knowledge
- ├Answer
- └Human handoff
Content Engine
- ├Idea
- ├Research
- ├Content
- ├Repurpose
- ├Schedule
- └Measure
Marketing Nurture
- ├Lead
- ├Segmentation
- ├Personalised outreach
- └Follow-up
Operations Workflow
- ├Trigger
- ├AI / logic
- ├Data
- ├Approval
- └Completion
HR Screening
- ├Application
- ├AI analysis
- ├Structured data
- └HR review
Document Processing
- ├Document
- ├Extraction
- ├Structured record
- └Notification
Business CRM
- ├Lead / deal
- ├AI enrichment
- ├Workflow
- └Reporting
Internal AI Assistant
- ├Knowledge
- ├Employee question
- ├AI
- └Action
KPI Automation
- ├Bottleneck
- ├KPI
- ├Intervention
- └Measurement
Approval System
- ├Request
- ├Validation
- ├Decision
- ├Approval
- └Audit trail
Customer Reactivation
- ├Dormant customer
- ├Segmentation
- ├Outreach
- └CRM update
Management Briefing
- ├Business data
- ├AI analysis
- ├Exceptions
- └Summary
Not sure which of these fits your business or role? Ask — we'll be specific.
Talk to an AI Program AdvisorBusiness impact
What does this actually do for a business?
Automation is not successful simply because a workflow runs. It is successful when it improves an economically meaningful business metric.
Save Time
- Reduce repetitive work
- Reduce manual data entry
- Reduce searching for information
- Reduce routine follow-up
- Reduce repetitive reporting
Measure: Hours of manual work removed · cycle time · response time
Save Money
- Reduce operational friction
- Reduce rework and duplication
- Reduce avoidable errors
- Improve process efficiency
Measure: Cost per process · overtime · rework cost
Generate More Revenue
- Improve speed-to-lead
- Improve qualification
- Improve follow-up consistency
- Improve nurturing
- Increase sales execution capacity
Measure: Leads · conversion · revenue per lead · sales cycle
Increase Profitability
- Improve productivity
- Reduce unnecessary operating effort
- Increase output from existing capacity
Measure: Gross profit · operating profit · contribution per process
Improve Margins
- Combine efficiency gains with revenue improvement
- Grow output without proportional cost
Measure: Gross margin · contribution margin · cost-to-revenue ratio
The program is designed to help businesses identify and capture these opportunities. It does not promise a fixed percentage of savings or revenue growth. Actual impact depends on the business, process volume, labour cost, conversion economics, data quality, implementation quality and adoption — so you learn to measure the baseline, model the opportunity and validate the result.
Impact model
Think about automation economically, before you build anything
This is the same baseline model taught in the program: measure the current process, estimate the opportunity, then validate the realised result.
Repetitive work today
5
1 hrs
22
300 ₹
Revenue side (optional)
200
8 %
2 pp
5,000 ₹
Illustrative opportunity estimate
Manual hours / month
110 hrs
Capacity value / month
₹33,000
Current deals / month
16.0
Additional deals / month
4.0
Combined monthly opportunity
₹53,000
Released capacity value + potential incremental contribution
Illustrative opportunity estimate — not a guarantee. Released time only becomes profit when the business redeploys that capacity into higher-value work. Use your own process volume, labour economics and outcome data.
Discuss Your Business CaseIntelligent management
Don't just automate the business. Understand the business.
Once business data is structured and connected, the Business OS becomes a management visibility layer: data → information → insight → action.
Business OS · management dashboard
Illustrative interface — figures are examples, not results.
Open leads
1,284
Sales queue
Conversion
12.4%
Qualified → won
Support queue
37
Awaiting response
Pending tasks
112
Across departments
Approvals waiting
9
Finance & ops
Manual hours removed
186
This month
Workload / automation trend
Automated executions rising as manual handling falls.
AI insights & actions
- Response time on WhatsApp enquiries is the current bottleneck.
- 24 qualified leads have had no follow-up activity for 5+ days.
- Invoice extraction is the highest-volume manual process this month.
- Support escalations are concentrated in one product category.
| Dashboard layer | Question | Examples |
|---|---|---|
| Operational visibility | What is happening right now? | Open leads, support queue, approvals, overdue tasks |
| Performance visibility | How are we performing? | Conversion, response time, throughput, productivity |
| Financial visibility | What is the economic effect? | Revenue, cost, contribution, margin |
| AI insights | What needs attention? | Priorities, anomalies, bottlenecks, next actions |
| Management action | What should happen next? | Assignments, escalations, interventions |
Who this is for
Same capability. Three very different reasons to build it.
Turn your business processes into systems.
Stop running your business through disconnected tools, spreadsheets, conversations and people's memory.
Where you are now
- Too much manual and repetitive work
- Data scattered across places
- Leads lost, follow-up inconsistent
- Departments operating in silos
- Dependence on individuals
- Poor management visibility
- Rising operating costs
- Hard to scale without adding manpower
What you develop
- Save time and reduce manual work
- Connect business data
- Improve lead response and follow-up
- Automate departmental processes
- Improve management visibility
- Build scalable, documented systems
- Identify revenue opportunities
- Improve profitability and margins
Why this is different
From knowing AI to knowing how to use AI inside a business.
Tools are not the product. The capability is the product.
Traditional AI course
- ✕Learn tools
- ✕Learn prompts
- ✕Watch demonstrations
- ✕Build small examples
- ✕Focus on features
- ✕Isolated automations
- ✕AI as a standalone chatbot
- ✕Blind full automation
- ✕Automation for its own sake
- ✕Dependence on one platform
- ✕A promise of a universal ERP
AI Automation + Business OS Program
- ✓Understand the business first
- ✓Map processes and decisions
- ✓Build systems hands-on
- ✓Connect business data
- ✓Introduce AI where it pays
- ✓Automate execution end to end
- ✓AI inside business processes
- ✓Human + AI + automation
- ✓Measurement and KPI thinking
- ✓Transferable system principles
- ✓A starting point for a Business OS
The learning philosophy
Every build begins with a business problem and ends with a measurable outcome.
01
Understand
Understand the problem, the process and the economics.
02
Design
Design the process and the data before choosing tools.
03
Build
Build the system: records, screens, workflows.
04
Automate
Automate the repetitive work, keep human judgement.
05
Integrate
Integrate the components into one operating flow.
06
Optimize
Optimize against a business outcome, then repeat.
Detailed curriculum
Fifteen modules, one connected system
Each module builds a part of the Business OS. Expand any module for the detail.
Delivered over approximately 45–55 live sessions — concepts, demos, guided building, exercises and troubleshooting.
Request the Full CurriculumCapstone
Your final project: build a Business OS around a real problem.
The capstone proves you can move from business understanding to system architecture, implementation and measurement.
STAGE 01
Business diagnosis
Map departments, stakeholders, customers, processes, data and pain points.
STAGE 02
Process selection
Choose high-value processes on time, cost, revenue, customer impact and feasibility.
STAGE 03
Baseline measurement
Capture current processing time, manual effort, rework, response or conversion.
STAGE 04
System blueprint
Define modules, data entities, workflows, AI touchpoints, communication, dashboards.
STAGE 05
Build priority modules
CRM/data foundations, workflows, conversational interfaces, agents, applications.
STAGE 06
Integrate
Connect data, automation, communication and interfaces into one end-to-end flow.
STAGE 07
Add intelligence
AI for understanding, extraction, reasoning, generation and prioritisation.
STAGE 08
Automate
Execute real business actions with controlled exceptions and human oversight.
STAGE 09
Measure
Compare the new process against the baseline and identify realised impact.
STAGE 10
Present
Show before → after architecture, business value, human steps and roadmap.
What a strong capstone demonstrates
- A clear business problem, not a technology demonstration
- A mapped current-state and a defined future-state process
- Structured business data and connected records
- At least one meaningful AI-enabled workflow
- At least one automation that executes a real business action
- A communication or user interface connected to the flow
- A KPI or economic metric the system is designed to improve
- A clear explanation of human oversight and exception handling
Who teaches you
Chandan Maheshwari
Founder, School of AI & AIVIO Intelligence · Business coach · Lead mentor
With 16 years of experience and 1,500+ business owners & professionals mentored, Chandan leads every session live — concepts, demos, guided building, exercises and troubleshooting on your own business problem. You are not handed recordings and left alone; you build alongside a mentor who reviews your Business OS blueprint and your capstone.
16+
Years of experience
1,500+
Owners & professionals mentored
2
Companies founded
- ✓Business deconstruction & process engineering
- ✓Business data architecture and CRM design
- ✓AI workflows, chatbots, agents and voice
- ✓Dashboards, KPIs and impact measurement
In their words
What business owners take away from the program.
Feedback shared by participants about the learning experience — not a promise of business results.
I came in thinking I would learn a few AI tools. I left with a map of my own business — where the work actually gets stuck, and which of those steps a system can take over.
Rohit Agarwal
Owner, building materials trading · Jaipur
The part that changed things for me was data. Once my leads, conversations and follow-ups sat in one place, my team stopped asking me for status updates every morning.
Sneha Iyer
Founder, interior design studio · Bengaluru
We built a WhatsApp enquiry flow during the sessions itself. Watching an enquiry come in, get qualified and land in the CRM without anyone touching it was the moment it clicked.
Amit Deshpande
Director, industrial components · Pune
It is taught like a business programme, not a coding class. I could follow every session and still walk out with something working for my own operations.
Priya Nair
Co-founder, wellness clinics · Kochi
The dashboard module was worth the fee on its own. For the first time I see my numbers without waiting for someone to prepare a sheet.
Vikram Singh
Managing Partner, logistics · Delhi NCR
What I appreciated most was the honesty. No promises of magic results — just a clear method to measure what the system actually saves.
Meera Shah
Owner, apparel manufacturing · Surat
Program investment
A curious-learner offer, while it lasts.
The program fee is ₹49,999 + 18% GST. Because you came looking for this — genuinely curious about where AI meets real business systems — you can join at the current offer price and keep ₹20,000 in your pocket.
- ✓15 modules across 3 months
- ✓Approx. 45–55 live sessions (3/week, 60 min)
- ✓Live mentoring by Chandan Maheshwari
- ✓Guided building, exercises and troubleshooting
- ✓CRM, workflows, chatbots, agents and dashboards
- ✓Business OS blueprint and impact model
- ✓Capstone Business OS with before → after measurement
- ✓Certificate of completion after the capstone
Save ₹20,000Limited-period learner offer
₹49,999
₹29,999
+ 18% GST · full 3-month program, all 15 modules, capstone included.
Program fee
₹49,999
Your price
₹29,999
You benefit
₹20,000
No placement, salary or revenue guarantees. What you get is the curriculum, the architecture and the practical capability — plus straight answers before you enrol. Once enrolled, the fee is non-refundable, so please ask us everything first.
How to enrol
01
Message us on WhatsApp
Tell us your business or career goal.
02
Short clarity call
We confirm the program fits what you want to build.
03
Confirm your seat
Pay the fee and receive the batch schedule and onboarding.
Refund policy: we do not issue refunds once a student is enrolled. Every question is welcome before you join — that is what the WhatsApp line is for.
FAQ
Straight answers before you enquire
Grounded in the program curriculum — no invented outcomes, no guarantees.
Next step
Your business is already producing data. The next step is making it work for you.
Learn how to understand your business, connect its data, redesign its processes, introduce AI, automate execution and start building the systems that make the business faster, more efficient and more scalable.