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

ai adoption workshopIn session
Team

Product / Operations

Workflow

Customer research

Current
  • Manual research
  • 3 tools
  • Repeated summarisation
AI opportunity
  • Research synthesis
  • Competitor monitoring
  • Insight extraction
Human intelligence
  • Problem framing
  • Judgment
  • Verification
  • Communication
Workflow design
  1. Sources
  2. AI analysis
  3. Human validationHuman checkpoint
  4. Structured output
Output

Reusable AI workflow

  1. workflow mapped
  2. AI opportunity identified
  3. human checkpoint added
  4. prototype tested
  5. 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
Institutions where we've run AI adoption sessions
  • IIT Delhi
  • IIT Ropar
  • IIM Kashipur
  • SRCC
  • Galgotias University
  • GL Bajaj
  • Masters' Union
  • Masai School
  • Newton School
  • NAS
  • Rotaract

Founder & facilitator

Gaurav Ghai

Founder, OneRoadmap

Gaurav Ghai, founder of 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.

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.

Human intelligence

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?
AI

Generate · Analyze · Extract · Automate

Human intelligence

Frame · Judge · Validate · Adapt · Communicate · Decide

Result

Better work

How we work

OneRoadmap AI Adoption Framework

We start with what people actually do - not which AI tools are trending.

  1. 01

    Understand the work

    Map the repetitive, analytical work a team or cohort actually does.

  2. 02

    Identify AI leverage

    Separate what AI can do from what a person must own.

  3. 03

    Build the workflow

    Design it and test it in the room.

  4. 04

    Develop human judgment

    Challenge outputs, spot weak claims and know when not to use AI.

  5. 05

    Deploy into real work

    Leave with a workflow that can be used tomorrow.

ai leverage
Task

Research 50 competitors

AI
  • Collect
  • Structure
  • Compare
  • Summarise
Human responsibility
  • Validate
  • Interpret
  • Decide
  • Communicate
workflowEvery session builds one
  1. Input
    • Documents
    • Data
    • Web sources
  2. AI
    • Extract
    • Reason
    • Generate
  3. Human checkpoint
    • Validate
    • Challenge
    • Edit
  4. Output
    • Report
    • Decision
    • Presentation
    • Action

Illustrative workflow shape

Depending on the format, participants may leave with:
  • 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.

What participants build
  • Solve real tasks with AI
  • Build AI projects and workflows
  • Practise output verification
  • Develop AI + human judgment
  • Apply AI to role-specific work
Practical exercise
Challenge

You have 1,000 job descriptions. Find the skills, experience expectations and market gaps.

Tools
  • AI
  • Structured extraction
  • Automation
  • Data analysis
Human intelligence
  • Problem framing
  • Validation
  • Interpretation
  • Decision making
Output

Talent market intelligence report

Illustrative · not a client engagement

Modules we draw from
  • 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.

Formats

Workshops built around how your team works.

Not a fixed catalogue. The room decides the shape.

  1. Your team
  2. Your workflows
  3. Your AI opportunities
  4. Custom workshop
  5. Practical outputs

In the room

Not another presentation about AI.

Sessions are built around doing and testing, not listening.

  1. Real problem
  2. Live build
  3. Participant practice
  4. Output review
  5. 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

From AI awareness to AI adoption
BeforeAfter
Random promptsRepeatable workflows
Tool experimentationClear use cases
Copying outputsValidating outputs
Individual usageShared patterns
AI dependencyAI collaboration
Generic trainingWorkflow-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.

real systemsBuilt inside OneRoadmap
  • 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

Bring this to your team or campus

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.

Enquiry form

Tell us what you need

Pick the audience first so the form only asks what matters.