More people are using it
A personal automation now supports a team, customers, multiple sites or a recurring operational process.
Software continuity · London
Free 20-minute checkAI application production support
Stonehold helps UK organisations move employee-built AI applications and internal tools from useful prototype to controlled production—then keeps them supported as the business changes.
For AI, automation and internal-tool programmes without a complete software operations team behind them.
Once other people rely on the tool, the question changes from ‘can it work?’ to ‘who is responsible when it changes, fails or produces the wrong outcome?’
A personal automation now supports a team, customers, multiple sites or a recurring operational process.
Access, retention, providers, logging and human oversight now need deliberate control.
The role can create value faster when deployment, monitoring, security, support and handover already have an owner.
AI applications still need ordinary software engineering. They also need evidence that variable outputs remain acceptable in the business situations that matter.
Access, tests, dependencies, deployment, observability, incident response, backup and recovery.
Representative evaluations, model and prompt change tracking, output monitoring and human approval boundaries.
Builders, platforms, models, data, integrations, users and current production boundaries.
Deterministic tests and AI evaluations tied to real business rules and representative cases.
Permissions, secrets, provider boundaries, audit evidence and consequential approvals.
Versioned prompts, models, code and dependencies with review and rollback appropriate to impact.
Technical health, model behaviour and important business outcomes observed together.
Named product and technical owners with clear authority for exceptions and incidents.
Trace the intended outcome, users, data, platforms, models, integrations and current owner.
Add the smallest credible set of tests, evaluations, monitoring, access, release and recovery controls.
Support the live tool, review failures and changes, and keep business experts in charge of what right means.
Yes, when the organisation controls the code, data and infrastructure and the application can be made supportable. The same engineering controls still apply, with additional evaluation and approval controls where model behaviour matters.
Tests usually check deterministic behaviour such as calculations, permissions and integrations. Evaluations measure whether variable AI outputs remain useful, safe and aligned with representative business cases.
It depends on the volume and type of product work. Stonehold can give a builder a production and operating layer, or provide managed continuity when the application need is fractional and the business retains product decisions.
Potentially. The platform choice must fit the application's data, access, resilience, change-control and handover requirements. Stonehold assesses the actual boundary instead of assuming that every prototype must be rebuilt.
The first call is free and requires no preparation. We'll tell you whether the sensible next step is a developer, a takeover, managed support—or no Stonehold engagement at all.