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AI WORKSHOPS

Your executives are being asked to approve AI they have never used.

Hands-on workshops for teams, leaders and executives. Everyone learns to work with AI on their own work, then designs the agents they want. Drafted with us. Owned by you.

Talk to us about your needs

Join the companies we have trained.

200+ people trained across our AI workshops
40+ agents designed by the people who would own them

Who has been in the room

  1. C-suite

    CEOs and COOs in the room themselves, not delegated down.

  2. Department heads

    The people who own the processes an agent would touch.

  3. Team leads

    The managers who would run an agent day to day.

  4. Team members

    The people whose own work an agent would change first.

From the sessions

What participants wrote, and the agents they were shown

Box 1 of a participant group's agent canvas, The Agent: job title Dealer Commercial Risk and Value Agent, a decision-support and early-warning agent, with its purpose and the core question it answers.
They wrote the agent’s job description.
Box 2 of the same canvas, The Workflow: the trigger is the month-end dealer data refresh, then eleven steps from data retrieval and data-quality checks through detecting material exceptions to escalating agreed actions, ending in a short, evidence-backed exception list rather than another dashboard.
Then the workflow, step by step.
Box 5 of the same canvas, Guardrails: the agent must not change master data, approve credit limits or rebates, change prices or post accounting entries, and no material recommendation reaches management without Finance validation.
And what it must never do without approval.
The opening screen of an AI CFO agent built for Mehran Sugar Mills, offering a company overview, the FY25 turnaround story, a risk assessment and revenue streams.
The AI CFO we built for sugar, shown in that mill’s session.
An AI CFO agent built for Cherat Packaging answering the question of what its capital programme is and how it is financed, with a table of active capital projects.
Rebuilt for packaging, answering from the published accounts.

Four moves. Nobody just sits through a day of slides.

Most AI training is a deck and a Q&A. People leave impressed, and on Monday nothing about how they work has changed. Every workshop here runs all four moves, at a different depth.

  • Know what it can do, and can't.

    AI is not one thing, and the differences are what decide whether a project works. What it genuinely does well, what it still cannot do, and why it fabricates so confidently, plus the rule that protects you: never trust, always verify.

    You will know which kind of AI a problem actually needs.

  • Arm your AI for your job.

    Most people open an AI tool and start typing, and get generic answers back. You write your own custom instructions built for your job description, and learn a prompting structure that holds up against your real weekly tasks.

    Nobody leaves the room unconfigured.

  • Do your own work, not a demo.

    A memo, a variance, a decision you have been avoiding. From your own week, done and reviewed live, in front of the room. You build the AI into how that task actually gets done, so the second time nobody has to help.

    One real task from your own role, finished before you go home.

  • Design an agent. Then defend it.

    One process you own: what moves, what stays human, the data it needs, what it may never do without approval. Then you defend it in front of the room: the same interrogation it would get from your board.

    You learn how an agent actually works by having yours taken apart.

Three workshops. Pick by who is in the room.

  • One day · on site

    Personal Productivity

    Everyone sets AI up for their own job, then uses it on real work from their week.

    Best for
    Anyone, from juniors up, who should be using AI in their own job.
    You leave with
    Their own AI set up, real work done with it, and a first list of the agents they would want.
    Delivered for
    Ghulam Faruque Group · Mehran Sugar Mills
    What the day contains
    1. What AI actually is, and why 2026 is different
    2. Setting up your AI, with custom instructions written for your role
    3. Putting AI to work on your own tasks
    4. AI agents in action, demonstrated live on screen
    5. Responsible use
    6. Your one-week plan, and a written list of candidate agents

    You leave with a plan for the week after, with a date against each line.

  • One day · on site

    Enterprise AI Agents

    How agents work, which processes suit them, and designing one the team would own.

    Best for
    Managers and team leads deciding what their teams should build.
    You leave with
    A written list of the agents their teams want, designed by the people who would own them.
    Delivered for
    Cherat Cement · Cherat Packaging · AGI Denim
    What the day contains
    1. A short start on AI in your own work
    2. What makes an enterprise agent different from chat AI
    3. An agent gallery rebuilt for your business
    4. Ninety minutes designing agents for the processes you own
    5. Pitch and pressure-test, scored and taken apart by the room
    6. Data governance, and a ninety-day plan

    Ends with a ninety-day plan carrying named owners.

  • Three hours · on site

    Executive Leadership

    AI on their own work, where agents fit in the business, and how to lead and govern it.

    Best for
    The board and the C-suite, setting the direction for everyone else.
    You leave with
    How to use AI in their own work, the agents worth backing first, and the rules for how AI is led and governed across the business.
    Delivered for
    Falcon-i
    What the three hours contain
    1. AI on your own work, set up and used in the room
    2. Where agents fit in the business, with one designed on a canvas
    3. Leading and governing AI: who decides, the rules, and what to ask of any proposal

    Ends with the agents worth backing first, and the rules to govern them.

Personal Productivity and Enterprise AI Agents also run back to back, as two days. Cherat Cement, Cherat Packaging and AGI Denim took both.

Customised for your business before it runs.

The executives who run your processes have never been shown what AI can actually do. The specialists who know what AI can do have never run your processes. Neither one can write the specification alone.

Those three are what we change every time. They are not the limit. If something else about how your business runs needs to be in the room, ask us for it.

Your Sector

The worked examples, the data and the agent we build live all come from your sector.

Two Ghulam Faruque Group companies, both took the two workshops back to back.

  • Cement: the room was shown an AI CFO built for cement.
  • Packaging: the room was shown one built for packaging.
  • The method: identical both times. Only the sector changed.

Your Room

Which workshop, and how it is pitched, is set by who is sitting in it.

Agreed with you before the day is built.

  • Executives: their own use of AI, then governing it and managing people who work alongside it.
  • Middle managers: bringing AI to a team: which agents it needs, and how to oversee people using it.
  • Everyone else: personal productivity, almost entirely. Being faster at the work they already own.

Your Function

Every example, every exercise and every case is rewritten for the function in the room.

A client asked for a one-day workshop for their finance team only.

  • The examples: variance analysis, board memos, forecast scenarios, audit preparation.
  • The tools: NotebookLM dropped. Excel and Sheets given a segment of their own.
  • The room: capped at 20, smaller than we normally run, with a case study written for nobody else.

Run by the founders. Not by a trainer.

We came to AI from running businesses, which is why the day is spent on what it changes in your processes, your reporting and your margins, not on how the technology works.

When someone asks whether the agent they have just designed could actually be built on their data, for a number they could defend, the answer comes from someone who has built one.

Saud spent twenty-five years across global enterprises from Boston to Karachi: Citigroup, PwC, FIFA, General Motors, Dow Chemical and SK Telecom. Zayed builds what rooms like yours design: workflow mapping, data audits, agents and RAG pipelines.

Saud Hashimi

Princeton · Harvard Business School

Cofounder & Chief Executive Officer

Leads the room: the four moves, the agent design exercise, and the challenge your team gets when they pitch what they have built.

Zayed Hashimi

IBA

Cofounder & Chief AI Officer

Presents the agent sections, works the room through real cases, and takes the questions as they come.

The people on your first call are the people in your workshop.

Pick the workshop by who is in the room. Every one ends on the agents your people want built.

One of the founders reads your message. Not a coordinator. You'll hear back within two working days.

  1. A call. What your team does, what you want out of it, and which workshop fits.
  2. A proposal written for you. Tailored to your business, with a venue and a date.
  3. A final walkthrough of the plan and the coordination, then the workshop.

Or reach us however is easiest:

Sent to us through Web3Forms. How we handle your details →

  • Every session is run by the founders.
  • We rebuild the day for your sector before it runs.
  • We work globally, from the United States and Pakistan.