Practical AI.
Built on Microsoft.
AI consultancy, products and platform engineering, with people accountable for important decisions.
We lead with Microsoft, and use models such as OpenAI and Claude where they fit.
Plan: know where to start
Choose the right use case, approach and architecture.
Build: engineer what fits
Create AI applications and platforms on Azure, end to end.
Adopt: make it last
Help people use AI well, with clear rules and human oversight.
Where most organisations start
Agent in a Day workshop
Give your team a hands-on day with AI agents, and leave with practical ideas for real work.
Copilot readiness assessment
Know where you stand and what to do next, with a clear roadmap.
Document and workflow automation
Remove manual effort from one important process, with human review where it matters.
AI solution design
Choose the simplest approach that works, and plan a secure, cost-aware architecture on Azure.
Use it, adapt it or build it
Use it
Start with CIP or one of our business applications.
Adapt it
Shape an application around your process and rules.
Build it
Engineer a platform around your business, on Azure.
CIP Decision Intelligence Platform
Our cloud platform
Turn complex documents into decisions your team can check. CIP helps you find risks and obligations, links findings to the source and routes them to your people for approval.
- Risk ratings with clause and page references
- Quotes from the source document
- Human review before a report is released
- Reports you can download
IT managed services agreement
“…the Supplier’s total aggregate liability under this Agreement shall not exceed fifty thousand pounds (£50,000). The Supplier shall not be liable for any loss of data…”
High: Liability. A data loss could cost far more, with no recovery. Cl. 10, p. 2
Have a use case of your own?
CIP shows how we engineer AI platforms on Microsoft Azure, from strategy and architecture to security, monitoring and deployment. Work with us as your advisor, your engineering partner or both, and we will build a platform around your business.
Business applications for Microsoft 365 and Power Platform
Ready-made applications for your teams
Bring better preparation, visibility and traceability into the Microsoft tools your teams already use. Your people stay responsible for decisions, and we can adapt each application to your use case.
Executive Briefing Intelligence
For leadership teams
Turn multiple documents into executive presentations and briefings, with links back to the source.
Financial Decision Intelligence
For finance teams
Review approved financial obligations together before payment, looking at liquidity and supplier exposure.
Pricing and Portfolio Intelligence
For commercial teams
Prepare pricing, portfolio and positioning strategies for executive review.
Decision Orchestration
For IT and governance teams
Check workflow participation against roles, and keep approvals and audit records for AI and Copilot workflows.
The Claphmont way: AI people can check
Our products
CIP and four business applications for Microsoft 365 and Power Platform.
Our method
Five steps from first question to everyday use, with a clear decision at each one.
Our quality checks
Were the important risks found? Do quotes match the source? Was the severity right?
Why Claphmont
We build what we recommend
We built CIP and our business applications ourselves.
Microsoft first
We hold Microsoft certifications and focus on Azure and Microsoft 365.
People stay accountable
We design human review and clear records into the work.
Advice, build or both
Start with the part you need.
Your team can run it
We plan handover, documentation and training from the start.
Also working with Claude?
We use Claude daily, and can help your teams build reliable workflows and use Claude Code with clear standards.
How we keep AI accountable
People decide
AI prepares the work, and your team approves it.
Evidence stays visible
Results link back to their source wherever the solution supports it.
Access is controlled
Agreed roles and permissions define who can do what.
How we work
1. Assess
See where AI can help, and what needs to be in place first.
2. Design
Choose the simplest approach that fits the work.
3. Build
Turn one important use case into something that works.
4. Release and hand over
Go live with the right controls, and make sure your team can run it.
5. Adopt and improve
Help people use it well, then build on what works.
Ready to make AI work for your business?
Tell us what you want to improve, and we’ll help you find the right place to start.
Start a conversationAI-assisted analysis supports business and commercial review. It is not legal advice.