Generic positioning
Your AI services look similar to competitors’ and are difficult to differentiate.
IT consulting companies and consultancies
Build data and AI services your teams can sell and deliver
I help leaders, practice directors and sales teams turn data and AI expertise into clearly defined consulting services with a credible client proposition.
Discuss your priorities
The challenge
Turn expertise into consulting services clients understand
Define the client problems you can solve, the value you can deliver and how the work will be carried out. Support your proposition with evidence that builds trust.
A strong consulting service connects a defined client segment and business need with an expected outcome, a repeatable method, the right capabilities and a viable commercial model.
Common situations
Make your services clear and deliverable
Hidden expertise
Your expertise is not presented in a way that decision makers can understand.
Expensive pre-sales
Senior experts spend time on pre-sales without shared criteria for qualifying opportunities.
Unscalable pilots
Proofs of concept do not lead to repeatable services or reusable assets.
The engagement
From service strategy to go-to-market
- 01
Assess your current position
Review your services, capabilities, client references, partners, sales pipeline and delivery capacity.
- 02
Positioning
Priority segments, client problems and credible differentiation.
- 03
Service design
Define the client proposition, scope, deliverables, supporting evidence, engagement formats and pricing options.
- 04
Go-to-market
Accounts, messages, channels, partners, campaigns and opportunities.
- 05
Pre-sales
Develop discovery guides, qualification criteria, business cases and sales-to-delivery handovers.
- 06
Build repeatable delivery
Define the staffing, skills, methods, reusable assets, governance and metrics needed to deliver consistently.
Deliverables
Tools to connect sales and delivery
- Assessment of your services and delivery capacity
- Client segmentation and positioning
- Packaged value propositions
- Sales and qualification tools
- Pre-sales process and go/no-go criteria
- 90-day and 180-day go-to-market plan
Evidence
A practical understanding of IT consulting companies
leading an Innovation Business Unit
A team of 20–30 people supporting around 20 proofs of concept, developing consultants’ experience and increasing visibility with clients.
commercial workflow automation
AI-assisted data enrichment and reduced manual work across prospect and opportunity qualification in Microsoft Dynamics.
FAQ
Frequently asked questions
Can you work on existing consulting services?
Yes. I can review and reposition your existing services, simplify the portfolio, package services or prepare a relaunch.
Is this only a marketing engagement?
No. A credible consulting service requires alignment between the client proposition, capabilities, staffing, delivery methods and economics.
Do we need an established AI practice?
No. I can help you define your goals, the capabilities and partners you need, and a practical plan to build the practice over time.
Can you support live pre-sales?
Yes. I can support discovery, qualification, business cases, estimates and proposals, and coordinate with delivery teams.
Your context
Turn data and AI expertise into commercial advantage
Share your current services, target clients and challenges so we can identify the next decision to focus on.
Discuss your priorities