OneRoadmap AI Adoption
Move from using AI
to working with AI.
AI Adoption Workshops for colleges, universities and enterprises
Hands-on sessions where students and teams redesign real workflows, build practical AI systems and develop the human intelligence to use AI well.
Colleges · Universities · Enterprises · Teams
Product / Operations
Customer research
- Manual research
- 3 tools
- Repeated summarisation
- Research synthesis
- Competitor monitoring
- Insight extraction
- Problem framing
- Judgment
- Verification
- Communication
- Sources
- AI analysis
- Human validationHuman checkpoint
- Structured output
Reusable AI workflow
- workflow mapped
- AI opportunity identified
- human checkpoint added
- prototype tested
- adoption playbook ready
Illustrative workshop map · sample team, not a client
AI adoption sessions so far
- 10,000+attendees trained
- 100+sessions
- 25+partner institutions
Founder & facilitator
Gaurav Ghai
Founder, OneRoadmap

Gaurav Ghai is the founder of OneRoadmap, where he builds its Human Intelligence platform - the Talent Graph, Role Readiness and the AI agents behind them. He runs hands-on AI adoption workshops with colleges, universities and teams. The workshops are grounded in the systems he builds: what participants practise is drawn from the same AI workflows, agents and verification steps that run inside OneRoadmap.
Certifications
The problem
AI adoption isn't a tool problem.
- Giving everyone ChatGPTis notAI adoption
- Running one AI sessionis notAI adoption
- Sharing promptsis notAI adoption
AI adoption happens when AI becomes part of how work gets done.
It takes the right workflows, the right human judgment and the confidence to use AI responsibly.
Better AI starts with better human thinking.
AI amplifies strong human intelligence. It does not replace it.
- Problem framing
- Can the person define what AI should actually solve?
- Context & delegation
- Can they give AI the information and boundaries required to work effectively?
- Judgment
- Can they recognise when an AI output is weak, incomplete or wrong?
- Verification
- Can they validate facts, assumptions, calculations and recommendations?
- Iteration
- Can they improve an output instead of accepting the first answer?
- Communication & execution
- Can they turn AI-assisted thinking into a useful real-world outcome?
Generate · Analyze · Extract · Automate
Frame · Judge · Validate · Adapt · Communicate · Decide
Better work
How we work
OneRoadmap AI Adoption Framework
We start with what people actually do - not which AI tools are trending.
- 01
Understand the work
Map the repetitive, analytical work a team or cohort actually does.
- 02
Identify AI leverage
Separate what AI can do from what a person must own.
- 03
Build the workflow
Design it and test it in the room.
- 04
Develop human judgment
Challenge outputs, spot weak claims and know when not to use AI.
- 05
Deploy into real work
Leave with a workflow that can be used tomorrow.
Research 50 competitors
- Collect
- Structure
- Compare
- Summarise
- Validate
- Interpret
- Decide
- Communicate
- Input
- Documents
- Data
- Web sources
- AI
- Extract
- Reason
- Generate
- Human checkpoint
- Validate
- Challenge
- Edit
- Output
- Report
- Decision
- Presentation
- Action
Illustrative workflow shape
- AI workflow
- Reusable prompt / system instructions
- AI playbook
- Prototype
- Workflow map
- Team guidelines
- Adoption action plan
Who it's for
Two audiences. Two different workshops.
A college cohort and an operations team do not need the same session.
Prepare students for an AI-powered workplace.
Students increasingly have the same AI tools. The difference is what they produce.
- Solve real tasks with AI
- Build AI projects and workflows
- Practise output verification
- Develop AI + human judgment
- Apply AI to role-specific work
You have 1,000 job descriptions. Find the skills, experience expectations and market gaps.
- AI
- Structured extraction
- Automation
- Data analysis
- Problem framing
- Validation
- Interpretation
- Decision making
Talent market intelligence report
Illustrative · not a client engagement
AI for real work
Research, analysis, coding, communication.
Prompt & context engineering
Giving AI the right context.
AI-assisted problem solving
Breaking down ambiguous tasks.
AI workflow building
Repeated tasks into reusable workflows.
AI output verification
Hallucinations, weak assumptions, errors.
Build with AI
Prototype an agent or workflow.
Turn AI from individual experimentation into team adoption.
Many employees already use AI. Scattered usage is not yet a workflow.
- Identify high-value AI use cases
- Build repeatable AI workflows
- Improve AI output verification
- Create practical prototypes
- Develop shared AI working practices
One person uses ChatGPT, another a different tool, a third copies outputs without checking.
- Shared workflows
- Human checkpoints
- Reusable instructions
- Clear use cases
- Practical prototypes
- AI judgment
A way of working the team can repeat
Illustrative · not a client engagement
AI adoption workshop
Redesign real work around AI.
AI workflow lab
Teams rebuild their own workflows.
AI enablement masterclass
Foundations and high-value applications.
AI adoption for leaders
Where AI should and should not go.
AI agents & automation
Multi-step workflows and lightweight agents.
Function-specific sessions
Research, marketing, sales, operations, HR, analytics, engineering.
Formats
Workshops built around how your team works.
Not a fixed catalogue. The room decides the shape.
- Your team
- Your workflows
- Your AI opportunities
- Custom workshop
- Practical outputs
- AI Adoption WorkshopHands-on · half day to one dayRedesign real workflows around AI.CollegesEnterprises
- AI Build LabBuild-focused · one dayBuild a working AI-assisted workflow in the room.CollegesEnterprisesBring a real problem
- AI Enablement MasterclassFoundations · 2-3 hoursThe AI applications that matter to this room.CollegesEnterprises
- AI Adoption ProgramMulti-sessionFrom first use to repeatable workflows.CollegesEnterprises
- AI Adoption for LeadersLeadership sessionOpportunity mapping, prioritisation and human checkpoints.Enterprises
In the room
Not another presentation about AI.
Sessions are built around doing and testing, not listening.
- Real problem
- Live build
- Participant practice
- Output review
- Take-home workflow
Principles
- Hands-on
- Participants work with AI themselves.
- Workflow-led
- Real work first, not tools.
- Human-in-the-loop
- AI output is challenged and validated.
- Build-focused
- Something the room can reuse.
Before to after
| Before | After |
|---|---|
| Random prompts | Repeatable workflows |
| Tool experimentation | Clear use cases |
| Copying outputs | Validating outputs |
| Individual usage | Shared patterns |
| AI dependency | AI collaboration |
| Generic training | Workflow-specific adoption |
Practitioner-led
Built from real systems.
Not presentation slides.
The workshops come from the AI workflows, agents and intelligence systems we build inside OneRoadmap.
Model-agnostic. ChatGPT, Claude, Gemini, coding agents and automation tools are chosen for the room.
- Talent intelligencein production
- Job analysisin production
- AI agentsin production
- Application preparationin production
- Workflow automationin production
- Evidence analysisin production
The systems behind the workshops. Not a client list.
AI adoption in the real world
Recent workshops, sessions & build labs.
Sessions with students, professionals, teams and institutions.
100+ sessions · 10,000+ attendees so far
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Design an AI Adoption Workshop
Bring AI into the way your team works.
Tell us who the workshop is for and what you want them to be able to do afterward.
- Phone
- +91 93158 47528

