AI Solutions
AI Strategy & Consulting
Clear advice on where AI will pay off in your business, what your data and systems need first, and how to roll it out safely. Backed by engineers who build these systems every day.
Advice from people who build
Many AI plans stall because they start with the technology rather than the problem. We start with your processes, costs and data, and only then ask where AI fits.
Our consultants are the same engineers who deliver our ERP, web and AI projects. Recommendations are practical, costed and honest, including when a simpler, non-AI fix is the better choice.
What you get
AI readiness assessment
A review of your processes, systems, data, skills and policies, with a clear score and the gaps to close first.
Use-case discovery and ROI
Workshops with your teams to list AI opportunities, then estimates of value, effort and risk for each so you can rank them.
AI roadmap
A phased plan covering pilots, system changes, data work, budget and owners, written in business terms.
Data readiness
Where your data lives, how clean and accessible it is, and the steps needed before AI can use it safely.
Build vs buy guidance
An independent comparison of off-the-shelf AI tools, platform features and custom builds for each use case.
Governance and responsible AI
Policies for acceptable use, privacy, human review, vendor risk and audit, sized to your organisation.
Team training
Practical sessions that teach staff and managers to use AI tools well, write good prompts and spot weak output.
Technology and architecture advice
Classic IT consulting: system architecture, cloud and data migration, security risk reviews and IT budget planning.
How a consulting engagement runs
Most engagements take a few weeks and end with a plan you can act on.
01 / 05
Kick-off and interviews
We meet leadership and the teams who run key processes to understand goals, pain points and constraints.
Who this is for
- Leadership teams asked to set an AI plan
- Companies trying AI tools with no shared policy
- Businesses with data spread across old and new systems
- Product teams deciding which AI features to build
- Organisations planning cloud migration or system upgrades
Areas we advise on
Our advice covers the AI layer and the systems underneath it.
AI models and platforms
- OpenAI, Claude, Gemini
- Open-source and self-hosted models
Cloud
- Azure, AWS, Google Cloud
- Migration and cost reviews
Data
- SQL Server, PostgreSQL
- Vector databases and data pipelines
Application architecture
- .NET, Python, Node.js
- APIs and system integration
Security
- Risk assessments
- Access control and audit
IT planning
- Budgets and vendor selection
- Technology roadmaps
Frequently asked questions
Still have questions?
Talk to a business developer directly. We usually reply within an hour during working hours.
A review of your processes, systems, data, skills and policies, followed by a short report that shows where you stand, the gaps to close and the use cases you could start with.
Get a clear AI plan
Book a short call about your goals and systems. We will suggest the right scope for an assessment or roadmap, with a fixed price.