Clear scope, visible progress, no surprises.
Software, AI or data operations: choose the commercial model that suits the work, and expect the same disciplined, AI-assisted delivery whichever you pick.
Engagement models
| Model | Best when | How it works |
|---|---|---|
| AI pilot | You want proof before committing | A small, fixed-scope pilot on your real data with agreed success measures. You then scale it up, adjust it or stop, with evidence in hand. |
| Fixed scope | Requirements are well understood | Agreed deliverables, timetable and price, with a defined change process. |
| Time & materials | Scope will evolve as you learn | You pay for effort used, with regular budget reporting and the freedom to re-prioritise. |
| Dedicated team | You have a continuing roadmap | A team assigned to you from our engineering centre, working as an extension of your own. |
| Managed service | Ongoing data or operations workload | We run document and data processing to agreed service levels, with AI and human review, and report on volumes, accuracy and turnaround. |
How we deliver
Five steps, the same for software, AI and data work.
Discover
We understand the problem, the people and the data, identify risks and agree how success will be measured.
Prototype
A working prototype or pilot on your real data, so you can judge the approach before committing to a full build.
Build
Short iterations with demos, automated tests and AI-assisted engineering under human review.
Launch
Secure release, handover, documentation and training for your team.
Improve
Monitoring, support and continuous improvement under an agreed arrangement.
Engineering standards
- Source control, code review and automated testing as standard
- AI-assisted tooling, with every change reviewed by an engineer
- Written requirements and change control
- Regular status reports and a named delivery lead
- For AI work: evaluation sets, measured accuracy and ongoing monitoring
- You own the code, data and documentation on completion
Security, privacy and responsible AI
- Confidentiality agreements and least-privilege access
- Secure environments for development and data processing
- Data-processing terms in line with UK GDPR
- Your data kept out of public AI model training
- Human review and audit logging wherever AI affects an outcome
- Backups and recovery planned into every solution
Frequently asked questions
Which engagement model is right for us?
If you want to test whether AI works for a process, start with an AI pilot. If the requirements are clear, choose fixed scope; if they will evolve, time and materials. For a continuing roadmap, a dedicated team; for ongoing data work, a managed service. We will recommend one after a short conversation.
Who owns the code and data?
You do. On completion you own the code, data and documentation we deliver, with no lock-in.
How does ANYSINFO use AI when delivering projects?
We use AI-assisted tools to prototype, write tests, document code and review changes, which shortens delivery. Engineers make the design decisions and review and test every change before release.
How do you keep our data secure?
Confidentiality agreements, least-privilege access, secure environments, encryption, and processing terms agreed in line with UK GDPR. Your data is not used to train public AI models.
Not sure which model fits?
We will recommend one after a short conversation.