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AI for Commercial Strategy and Growth

A practical programme for commercial directors and P&L owners on where AI genuinely sharpens strategy, customer understanding, pricing and growth — and where it must stay subordinate to commercial judgement rather than replace it.

At a glance3 parts · 24 live sessions · 48 CPD hours · online, in-person or hybrid|Enquire & book →
The organisational need

AI is now sold as the answer to every commercial question — demand forecasting, pricing, customer targeting, churn, territory design. Some of that is real and some is hype, and commercial leaders are expected to tell the difference while under pressure to be seen to be ‘doing AI’. The risk is twofold: missing genuine advantage, or outsourcing commercial judgement to a model that optimises the wrong thing with great confidence.

This programme helps commercial leaders use AI to make sharper strategy and growth decisions while keeping judgement where it belongs. It covers where AI materially improves commercial decisions, how to interrogate an AI-driven recommendation, how to avoid the characteristic failure of optimising a number at the expense of the business, and how to build a commercial function that is AI-literate without being AI-dependent. It draws on Impact Thinking’s research on judgement and decision-making under pressure.

Structure
3 progressive parts
Sessions
24 live · 48 CPD hours
Delivery
Online · in-person · hybrid
Fit & outcomes

Who it’s for — and what you’ll be able to do

Who it’s for

  • Commercial and sales directors
  • P&L owners and general managers
  • Marketing and growth leaders
  • Pricing, revenue and customer-insight leaders
  • Strategy and business-development leads
  • Founders and MDs of commercial firms

What you’ll be able to do

  • Separate genuine AI commercial advantage from vendor hype and internal pressure to be seen using it
  • Use AI to sharpen demand, pricing, segmentation and growth decisions where it genuinely helps
  • Interrogate an AI-driven recommendation rather than accept or reject it on instinct
  • Recognise when a model is optimising the wrong objective, and hold commercial judgement above it
  • Build an AI-literate commercial function without creating AI dependence
  • Produce a commercial AI strategy connecting opportunities, decisions, data and growth targets
The three-part programme

What happens in each part

Eight live two-hour sessions per part — sixteen learning hours per part. Take one part on its own, or progress through the full pathway — each part ends with a practical output your organisation keeps.

Part One

AI and the Commercial Decision

Where AI genuinely sharpens commercial decisions, and where judgement must hold.

Output · Commercial AI Opportunity Map

01
What AI Can and Can’t Do for Commercial Decisions

Separating real advantage from hype across the commercial agenda.

02
Demand, Forecasting and Market Insight
03
Pricing and Margin Decisions With AI
04
Customer Segmentation and Targeting
05
Interrogating an AI Recommendation

The questions a commercial leader must ask before trusting a model’s output.

06
When a Model Optimises the Wrong Thing
07
Data Reality and Commercial Decisions
08
Mapping Your Commercial AI Opportunities

Where AI will and won’t move your commercial numbers.

Part Two

Growth, Customers and Go-to-Market

Applying AI across the growth engine without losing the commercial plot.

Output · AI-Enabled Growth Plan

01
AI Across the Customer Lifecycle

Acquisition, conversion, retention and expansion — where AI earns its place.

02
Marketing and Content at Scale, Responsibly
03
Sales Productivity and the Human Relationship
04
Churn, Retention and Lifetime Value
05
Experimentation and Commercial Learning
06
Competitive Dynamics in an AI Market
07
Brand, Trust and the Customer Experience of AI
08
Building Your AI-Enabled Growth Plan

A plan that applies AI to growth while protecting the customer relationship.

Part Three

Leading an AI-Literate Commercial Function

Building a commercial team that uses AI well and keeps its judgement.

Output · Commercial AI Strategy & Capability Roadmap

01
AI Literacy Without AI Dependence

Building a team that uses AI fluently and still owns the commercial call.

02
Governance for Commercial AI Decisions
03
Measuring What AI Actually Contributes
04
Avoiding the Confident-but-Wrong Trap
05
Investment, Build-vs-Buy and Partners
06
Commercial Ethics and Customer Trust
07
Scaling What Works
08
Building Your Commercial AI Strategy and Roadmap

Connecting opportunities, decisions, capability and growth targets.

How it’s delivered

Practical throughout

Every session combines short expert input with facilitated discussion and applied practice: real public- and private-sector cases, decision-making exercises, role plays and simulations, peer coaching and workplace application. Cases reflect the constraints managers actually face — limited resources, organisational politics, competing stakeholder interests and incomplete information.

Between sessions, peer-coaching groups, facilitator-led clinics and sponsor check-ins keep the learning attached to genuine organisational challenges rather than theory in isolation.

Assessment is practical throughout — no formal examinations. Evidence includes case analysis, completed templates, workplace application tasks, peer feedback and the final plans and roadmaps. A CPD certificate is available for each part where applicable.

What participants take away

Outcomes

Fees

Ways to take part

Open cohort · per person
£1,450 per part · £3,950 full pathway
In-house · your organisation
From £8,500 per part · from £22,500 full programme
Cohort size
Up to 16 participants in-house

In-house delivery is tailored to your commercial context and growth priorities, and becomes the better value from around five participants. Bespoke versions, single parts and multi-cohort rollouts are all available — tell us the context and we’ll shape it to fit.

Frameworks & references · Impact Thinking research on judgement and decision-making under pressure · established practice in pricing, segmentation and go-to-market · OECD AI Principles · responsible-AI and data-protection standards

Go deeper
Questions

Frequently asked questions

Do I need a technical or data-science background?

No. It is a commercial-leadership programme for directors and P&L owners. It focuses on the commercial decisions AI can sharpen and the judgement needed to use it well — not on building models.

Who is this programme for?

Commercial directors, P&L owners, sales and marketing leaders and general managers who own commercial outcomes and are deciding how to use AI. No technical background is required.

How is the programme delivered — online, in-person or hybrid?

It runs online, in-person or hybrid, in-house or as an open cohort. The structure is three progressive parts, 24 live sessions and 48 CPD hours; you can take a single part or the full pathway.

How much does the programme cost?

Open-cohort places are £1,450 per part or £3,950 for the full pathway, per person. In-house delivery starts from £8,500 per part and from £22,500 for the full programme. Contact us for cohort dates and organisational pricing.

Is there a certificate or CPD accreditation?

Yes. A CPD certificate is available for each part, and the full programme carries 48 CPD hours. Assessment is practical throughout, with no formal examinations.

Can you run this in-house for our commercial team?

Yes. In-house delivery is tailored to your commercial context and is usually the better value from around five participants. Single parts, the full pathway and multi-cohort rollouts are all available.

Related programmes & reading

Bring this programme to your organisation.

To discuss dates, in-house delivery or enrolling a team, get in touch. We’ll help you choose the right starting point — a single part or the full pathway — and tailor it to your context.

Enquire & book →   info@impactthinking.co.uk