Half-day · Full-day · Multi-session formats

Your teams are sitting on
untapped AI value.

A hands-on AI workshop that helps your leaders and teams identify high-impact opportunities, cut through the hype, and leave with a concrete plan they can act on immediately.

No technical background required. No vendor pitch. Just practical frameworks, real use cases, and expert facilitation from practitioners who've led enterprise AI programmes.

Book a Free Discovery Call → See What's Covered
Workshop at a Glance
Who It's For
Leaders, ops teams, digital & strategy functions. Technical knowledge not required.
Format
Half-day, full-day, or multi-session. On-site or virtual. Fully customised to your industry.
Outcome
A prioritised AI opportunity map your team can act on the week after the session.
Delivery
On-site at your offices, or remote. Available globally.
Book a Free Discovery Call →

No commitment. We'll assess fit before recommending a format.

Dr. Khalid Basit
Abid Mustafa
Feyaz Khan
Led by 3 senior practitioners with enterprise AI track records
500+
Leaders and teams trained across enterprise AI programmes
12+
Industries including telco, fintech, healthcare, and retail
3
Senior practitioners with live enterprise AI delivery experience
100%
Sessions customised to your industry, team, and use cases

The Challenge

Most organisations know AI matters.
Few know where to start.

The gap isn't ambition — it's clarity. Teams are buried in vendor noise, generic use cases, and initiatives that never move past the pilot stage because no one mapped the opportunity properly from the start.

AI strategy exists on slides, not in operations

Leadership has approved an AI roadmap. Six months later, nothing meaningful has shipped because no one translated strategy into concrete, prioritised actions.

Teams don't know which processes are actually automatable

Every team has opinions. Few have a structured method to identify which workflows offer the best ROI versus complexity trade-off.

Pilots stall at proof-of-concept

95% of AI pilots never reach production. The reason is rarely the technology — it's poor use-case selection and lack of a structured path from concept to deployment.

Change resistance kills adoption

Even well-scoped AI initiatives fail when teams aren't brought along. Without early buy-in, adoption stalls and the investment is written off.

AI Workshop Challenge Image

"The biggest barrier to enterprise AI isn't the technology — it's not knowing where your real opportunities are."

This workshop closes that gap in a single session

What You'll Walk Away With

Not slides. Actual outputs
you can act tomorrow.

Every exercise in the workshop produces a tangible deliverable. By the end of the session, your team leaves with real assets — not just inspiration.

Deliverable 01

A prioritised AI opportunity map for your organisation

Through structured discovery exercises, your team identifies and ranks real AI opportunities specific to your processes, departments, and strategic goals — not generic industry examples.

Day 1 Ready to share
with leadership
Deliverable 02

ROI estimation for your top three use cases

Using practical valuation frameworks, your team quantifies the potential time savings, cost reductions, and efficiency gains from the opportunities you've identified — in language your CFO will understand.

3 Fully quantified
business cases
Deliverable 03

A 90-day AI adoption roadmap

A phased plan that outlines the processes, teams, tools, and milestones needed to move your top opportunity from idea to running pilot — with clear owners and decision gates.

90 Day plan with
clear milestones
Deliverable 04

Team alignment and a shared vocabulary for AI

One of the biggest causes of failed AI initiatives is misalignment between technical and non-technical stakeholders. This workshop closes that gap so every function speaks the same language when AI decisions are made.

1 Aligned team ready
to move forward
Deliverable 05

Hands-on exposure to real AI and automation tools

Participants work directly with AI, RPA, and data analytics tools applied to scenarios from your own industry. No passive demos — your team leaves having used the tools themselves.

Live Hands-on tool
experience

Workshop Modules

Four modules. One cohesive
path from awareness to action.

Each module builds on the last. By the end, your team doesn't just understand AI — they have a working plan specific to your organisation.

Module 1 – AI Importance
01
Module One
Foundation

Where AI creates real competitive advantage

Most teams have heard the AI pitch. This module cuts through it. We show your teams where AI is genuinely creating value in your industry right now — and more importantly, where it isn't — so you focus energy on what actually moves the needle.

Understand why AI adoption is accelerating and what drives it
Identify the difference between hype and proven enterprise value
See real-world examples mapped to your industry context
Begin spotting where your own organisation fits in the landscape
Module 2 – Streamlining Processes
02
Module Two
Process Discovery

Which of your processes are ripe for automation right now

This is where the workshop gets hands-on. Your teams map their own workflows and run them through a structured assessment framework to identify which tasks carry the highest automation potential — and which to leave alone.

Map current workflows to identify bottlenecks and repetitive tasks
Apply a prioritisation matrix: impact versus implementation complexity
Identify quick wins deliverable within 90 days
Understand how to sequence automation across functions
Module 3 – Measuring Impact
03
Module Three
Business Case

How to quantify the value before you build anything

AI projects die in budget approval meetings because the business case is too vague. This module gives your team concrete valuation tools to estimate time savings, cost reduction, and revenue impact — before a single line of code is written.

Learn the metrics that matter for AI ROI across different function types
Build a simple but defensible business case for your top opportunity
Define success metrics and KPIs before implementation begins
Frame results in language that resonates with finance and the board
Upload Module 4 image here
04
Module Four
Adoption Planning

Getting your organisation ready to actually deploy AI

Knowing what to build is only half the battle. This module addresses the obstacles that kill AI initiatives after approval: integration complexity, change resistance, governance gaps, and team readiness. You leave with a practical adoption plan, not just a concept.

Understand common technical and organisational obstacles to AI rollout
Build a change management approach that drives adoption, not resistance
Define governance, ethical guidelines, and oversight structures
Create a phased rollout plan with clear milestones and accountabilities

Your Facilitators

Practitioners, not presenters.

Every facilitator has led enterprise AI programmes in the real world. They've sat in the same rooms you're in, made the same decisions, and built the frameworks your team will use in this workshop.

Dr. Khalid Basit
Dr. Khalid Basit
Director, Automation Consultancy — Mercurial Minds
COO, Telecom Intelligent Automation Council (TIAC)
Assistant Professor, IBA School of Business Studies
Specialist in enterprise digital transformation and operational change with hands-on delivery across large-scale organisations
Known for process discovery sessions that surface high-value opportunities teams had never previously identified
Guides teams from initial discovery through to outcomes that deliver measurable business value
Abid Mustafa
Abid Mustafa
AI Strategy Advisor — Mercurial Minds
Advisor to C-suite executives on AI strategy, governance, and adoption
Principal Strategy Consultant
Advises corporate and government leadership teams on AI operating models and governance frameworks
Translates high-level AI strategy into clear, actionable implementation plans your team can execute
Supports organisations through AI-first transformations, change management programmes, and IPO readiness
Feyaz Khan
Feyaz Khan
Chief Business Officer — Mercurial Minds
CSO, Telecom Intelligent Automation Council (TIAC)
Leads strategy and delivery for large automation programmes across the USA, UK, GCC, and Asia
Built and scaled M.M.'s Digital Delivery Centre — a live proof point for the automation methodologies taught in the workshop
Helps enterprises design digital support functions that sustain mission-critical operations at scale

Workshops in Action

What the room looks like
when AI clicks.

Past sessions have helped leaders across industries identify real use cases, build business cases, and leave with plans they could act on immediately. Here's a glimpse.

Workshop session
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Workshop
Workshop group
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Workshop
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Feyaz Khan at GoTelecom
AI workshop keynote & session highlights
Dr. Basit at PTCL
Process discovery workshop in action

FAQ

Questions we get before every engagement.

If yours isn't here, the discovery call is a good place to ask it. We'll give you a straight answer about whether this workshop is the right fit for your organisation.

Book a Free Discovery Call →
It depends on your team size and the depth you want. Smaller groups can complete the full programme in a single full-day session. Cross-functional or larger organisations typically benefit from a two-day structure. We'll recommend the right format after the discovery call.
No. The workshop is designed for both technical and non-technical professionals. All concepts are explained in plain language, and the exercises are built around your actual business context — not abstract AI theory. Some of our most effective sessions have been with entirely non-technical leadership teams.
Leaders and teams in operations, strategy, digital transformation, customer experience, IT, and process improvement get the most from this session. Cross-functional groups — especially where technical and non-technical stakeholders rarely sit in the same room — see the biggest shift in clarity and alignment.
Yes — and this is one of the things that makes it more useful than a generic AI training course. We tailor examples, use cases, frameworks, and exercises to your industry, your specific organisational challenges, and your strategic priorities. The session your team attends won't look like the one delivered to a healthcare provider or a logistics firm.
By the end of the workshop, your team will have a prioritised AI opportunity map, ROI estimates for your top use cases, a 90-day adoption roadmap, and alignment across functions on the language and priorities for AI within your organisation. These are working documents — not slides you forget about the following week.
Both are available. On-site delivery typically produces better outcomes for discovery and alignment exercises — the energy in the room matters. Virtual delivery works well for distributed teams or where travel is impractical. We've delivered sessions in the USA, the UK, GCC, South Asia, and across Europe.
Pricing depends on the format, team size, number of sessions, required customisation, and delivery mode. We scope each engagement individually and provide a clear proposal after the discovery call — there are no packages to pick from because every organisation is different. Contact us to discuss your specific requirements.
We offer post-workshop support for organisations that want to move from planning to execution. This can include facilitated follow-up sessions, AI programme management through our TaaS model, or connecting you with the right specialists to build out specific opportunities identified during the workshop. You're never left with outputs and no path forward.
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