TRAINING · CORPORATE AI
Corporate AI Training for Employees
Corporate AI training is hands-on, role-specific training that gets a whole organisation using AI day to day, not just the engineers. Each session is built around the real tasks of a function, so finance, HR, marketing, legal and operations leave able to do their own work faster. The hard part is rarely the tools; it is structured enablement, and that is what this delivers. I have trained 250+ professionals this way, 70+ of them across a single client group’s IT, Sales and adjacent teams.
Updated 19 August 2026
What you’ll learn
Role-specific workflows
Each department works on its own real tasks: reporting, drafting, research, analysis, not generic demos.
Safe, sensible usage
What to put into AI tools and what to keep out, so productivity rises without creating risk.
Reusable prompt frameworks
Teams leave with prompts and patterns they can keep using, not notes they forget by Friday.
Adoption that sticks
A simple plan for habits, champions and follow-up so AI use survives past the workshop.
The role tracks
Each function trains on its own work rather than a shared generic deck. These are the most common tracks; yours are scoped on the discovery call.
01
Finance
Reporting, reconciliation summaries, variance commentary and board-pack drafting, on your own numbers and formats.
02
HR and people
Job descriptions, policy drafts, interview summaries and internal communication, with clear boundaries on personal data.
03
Marketing
Briefs, campaign variants, research and first drafts that still sound like your brand rather than a template.
04
Legal and compliance
First-pass summarising and clause comparison, and the judgement about what never goes near a model.
05
Operations
SOPs, vendor communication and process documentation, the paperwork that quietly eats the week.
06
Leadership
A shorter track for managers: what their functions are learning, what to measure, and what good adoption looks like.
How it runs
Executive briefing
THE SMALLEST UNIT
Leadership alignment before a wider rollout.
Team workshop
HALF OR FULL DAY
One function at a time, working on its own live tasks.
Multi-session rollout
ACROSS WEEKS
Department-by-department enablement with application between sessions.
What you keep
- Role-specific prompt libraries built on your material
- A usage guardrail sheet per function
- A champions and follow-up plan so usage survives the month
- A simple measurement cadence leadership can read
Who it’s for
For organisations rolling AI out across teams.
- Whole departments: finance, HR, marketing, legal, operations
- Leadership wanting measurable, org-wide AI adoption
- Companies past the "we should use AI" stage and ready to enable people
How an engagement runs
- Free · 30 min
Step 01
Discovery call
A focused conversation to understand your team’s current state, AI ambitions, and what “good” looks like. No deck. No sales pressure.
- 3–5 business days
Step 02
Engagement scope
Written proposal with prioritized objectives, weekly milestones, success measures, and a flat-fee or retainer quote. Approve or push back; we iterate.
- 4–12 weeks typical
Step 03
Delivery
Weekly check-ins, async-first updates, working artifacts shared throughout. You see progress in real terms, not in a slide deck at the end.
- Week of close
Step 04
Handoff
Documentation, internal training session, and a 30-day implementation Q&A window. Optional fractional advisory continues monthly if you want a steady hand.
FREQUENTLY ASKED
Corporate AI Training for Employees: common questions
How much does corporate AI training cost?
INR 1,00,000 to 2,50,000 for a corporate engagement, as a fixed fee agreed before the work starts. Travel inside India is quoted inside that fee rather than billed afterwards. What moves a quote within the band is how many teams train, whether the applied work runs on your own repositories and documents or on shared material, how many days are on-site, and whether you want the before-and-after measured. Below the band it is usually a talk rather than an engagement, and I would rather say that here than on the call.
Which tools do you train employees on?
The ones your people will actually use: Claude, ChatGPT, Gemini and Copilot for everyday work, plus role-specific automation. The training is tool-aware rather than tied to selling one vendor.
How is this delivered?
As executive briefings, half- or full-day team workshops, or multi-session programs, on-site across India or remotely, built around your functions and real tasks.
How do you measure whether it worked?
By whether people keep using AI after the session. The training includes reusable frameworks and a light adoption plan so usage sticks rather than spiking and fading. The strongest evidence of that is expansion: at Shivalik Group in Ahmedabad, ten sessions with IT led the group to extend the work to Sales and then to a second entity, which is what sticking looks like from the buyer’s side.
FROM THE PRACTICE
How this gets delivered, written up
WHAT IT COSTS
INR 1,00,000 to 2,50,000 for a corporate engagement
A fixed fee agreed before the work starts, not an hourly rate and not a per-head licence. Travel inside India is quoted inside the fee rather than billed afterwards, so the number you approve is the number you pay.
WHAT MOVES THE NUMBER
- How many teams, and whether they train together or in sequence
- Whether the applied work runs on your own repositories and documents, which takes preparation, or on shared material, which does not
- On-site days versus remote sessions, and how far outside Gujarat they are
- Whether you want the before-and-after measured, which adds a baseline before the first session
WHAT THIS IS NOT FOR
- A single person looking for individual training. That is a different offer at a different price; the 1:1 track is the right route.
- A one-hour awareness talk or a conference keynote. Worth doing, not worth a fixed-fee engagement.
- A team that wants a recorded course. Everything here runs live on your own work, which is the part that costs money and the part that changes anything.
Band reviewed 8 September 2026
WHERE THIS LEADS
What teams usually look at next
AI Adoption Strategy
The plan that should sit above the training, so the sessions are sequenced rather than scattered.
AI Governance Workshop
What is allowed, who reviews it, and what never goes near a model. Usually the question that follows the first workshop.
Engineering Productivity Workshop
The hands-on day, where a team works on its own tasks and leaves with a measured before and after.
Where adoption and engineering meet
THE ENGINEERING TRACK
What this looks like for an engineering team
Adoption across a company and adoption inside an engineering team are different problems. If your developers are the ones who need to change how they work, the hands-on track covers Claude Code, Cursor, agents and spec-driven development on your own repositories.
See the engineering trackPROOF
From ten IT sessions to a group-wide AI rollout
I ran ten AI training sessions for Shivalik Group’s IT team. The work then extended to their Sales team, and a second entity in the group is now onboarding. This is what that looked like, and why it grew.
Shivalik Group · Real estate · Ahmedabad
Read the case study“The AI Workflow Mastery session was highly practical, engaging, and packed with valuable insights. I learned how to effectively use AI tools like ChatGPT, Claude, Gemini, Perplexity, and Cursor in real-world workflows.”
Want this for yourself or your team?
A free 30-minute discovery call is the fastest way to scope the right program. Private 1:1 or corporate, remote across India and globally, on-site in Ahmedabad.
Not ready for a call? Start with the AI adoption readiness checklist.