We help mid-sized and large organisations – including manufacturing companies – adopt AI in a practical, secure and structured way. First we identify where AI delivers real value; only then do we choose the technology.
Starting pointFreeAI Readiness Assessment
- AI readiness scorecard
- Use cases prioritised by value and feasibility
- A practical 90-day implementation roadmap
Challenges
Problems companies bring to us
Many ideas, no priorities
Teams try AI tools on their own, but it is hard to tell which use cases will create business value.
Data isn't ready
Information is scattered across systems, and its quality and availability limit what AI can do.
Risk and compliance
There are no clear rules on what data may go to AI models, who can access it and how to control it.
Pilots that go nowhere
The proof of concept works in a demo, but there is no plan to bring it into the company's processes and systems.
What we deliver
From the first workshop to working solutions
We combine advisory with engineering. We help you choose AI use cases, demonstrate them on real examples, run workshops and prepare your systems and data for adoption. We work in the Anthropic (Claude) and Microsoft (Azure, Microsoft 365) ecosystems and match the solution to your systems and security requirements.
- Identifying and assessing AI use cases in your processes
- Demonstrations on real use cases
- Workshops for leadership and technical teams
- Preparing data, integrations and environments for AI
Starting point
AI Readiness Assessment
We assess how ready your organisation, data and systems are for AI – through workshops, interviews and an environment review.
What you get
- AI readiness scorecard
- Use cases prioritised by value and feasibility
- A practical 90-day implementation roadmap
Service scope
Four areas of AI Enablement
AI SDLC
We bring AI into software development – from requirements analysis, through writing and reviewing code, to testing and documentation. We work as hands-on architects: alongside your team, in your codebase.
Forward Deployed Engineering
Our engineers work directly with your teams, inside your processes and systems. They build, deploy and refine AI solutions where they need to run.
Claude for Enterprise
As an Anthropic partner in the Claude Partner Network, we help you roll out Claude across the organisation: configuration, usage policies, integrations with tools and data (including via the Model Context Protocol) and team enablement.
AI Governance
We define rules for data access, security and compliance: which data AI may process, how to control permissions and how to scale AI use responsibly.
How we work
How the engagement works
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AI Readiness Assessment
Workshops, interviews and a review of data and systems, ending with a scorecard, a list of use cases and a roadmap.
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Pilot
We deliver a selected use case on real data, with clearly defined success criteria.
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Implementation
We embed the solution into business processes and systems, with security rules and monitoring.
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Scaling
We extend AI to further areas and build your teams' skills.
Outcomes
What you get
- A list of AI use cases assessed for value and effort
- A 90-day roadmap with clear ownership
- Security and data-access rules for AI
- Solutions running in your processes, not just in a demo
- Teams that know how to use AI day to day
FAQ
Frequently asked questions
Yes. It is designed as the first step – it helps you avoid random pilots and focus on the use cases with the most value.
No. We work in the Anthropic and Microsoft ecosystems and choose the solution based on your needs, security requirements and existing systems.
Yes. We support mid-sized and large organisations, including manufacturers, where AI can improve processes and work with documentation and data.
We agree data-access and security rules before implementation. It is a separate area of the service – AI Governance.
Start with: AI Readiness Assessment
Tell us what your project is about – we will get back to you to agree the scope and timing. The assessment is free of charge.
