We build AI agents, develop applications and take ownership of existing platforms for UK organisations that need experienced engineering capacity and clear responsibility after launch.
14+ years engineering12+ countries served
Building the first version is only part of the job. These examples show the kind of work we take responsibility for after the difficult part begins.
Anonymised client outcomes. We do not publish a client name, a logo or a measured figure without written permission.
View Selected WorkYou have an AI use case or a working prototype. The next question is whether it can connect to real systems, use the right data, operate within clear permissions and be trusted in day to day work.
The original supplier may be leaving, your internal team may already be stretched, or the platform may have outgrown reactive support.
You need experienced engineers to build a new application, connect existing systems or modernise a platform that has become difficult to change.
DevOps consulting and cloud engineering covers infrastructure assessment, deployment improvements and ongoing operations within one engagement. Performance and security work are included where the platform needs them.
A useful production agent has a clear job. We first agree what should improve, such as response time, workload or error rate. Then we design the agent around the systems, data and approvals that job requires.
Where it runs
Faster first responses, with each answer linked to an approved source and important actions sent to a person for approval.
How it is produced
Customer Support · Inbound ticket triage
Interprets the request, plans the steps and carries out the work.
Help centre articles, resolved tickets, product documentation
Helpdesk, CRM, order and billing APIs
Scope, permissions, tone and policy limits, enforced on every run.
An agent reviews the drafted reply before it sends
Production requirementsIntegrationsPermissionsEvaluationGuardrailsObservability
Explore AI Agent DevelopmentWe can take over an existing application or platform, understand how it works, fix the immediate risks and continue developing it with one accountable engineering team.
Managed engineering is scoped around platform criticality, support coverage and the engineering capacity required.
Explore Application ManagementWe have regular overlap with UK business hours. Meetings are planned in advance, and important decisions are documented so the project does not depend on everyone being online at the same time.
Engagements are scoped and documented before work begins. UK engagements can be quoted and invoiced in GBP by agreement.
Where we process personal data on your behalf, the scope, subprocessors and data flows are documented in the agreement. A DPA can be put in place where required, and data location is agreed during architecture.
Technical conversations happen with the engineers doing the work. There is no account layer between you and the people who know the system.
Each situation above can begin with a focused piece of work. You get a useful output at the end, whether we continue together or not.
AI moving beyond the pilot
Commercial modelFirst stage of an AI development engagement
Discuss an AI Opportunity SprintA platform that needs a new owner
Commercial modelFixed scope assessment before ongoing managed engineering
Discuss a Platform TakeoverA new application or major modernisation
Commercial modelFixed discovery or a defined first project phase
Discuss an Engineering Discovery
What changes when an AI agent moves from prototype to production. A practical guide to integrations, permissions, evaluation, monitoring, human approval and ownership.
A practical look at what drives the cost of a production AI agent, including integrations, RAG, evaluation, guardrails, model usage and ongoing operations.
Yes. We work remotely with organisations across the UK and have regular overlap with UK business hours. We do not currently operate a UK office.
No. We work internationally. This page simply explains the delivery and commercial details that are most relevant to UK organisations.
Yes. We start by reviewing the codebase, infrastructure, access, deployment process and operational risks. From there we agree what needs to be stabilised and what ongoing ownership should include.
Yes. Most production agents need to work with systems the organisation already uses. We design around the workflow, data, permissions and actions required, then choose the models and tools that fit the job.
Data location is agreed during architecture. If UK or EU region hosting is required, we assess that requirement against the infrastructure, model providers, storage and backup services involved and document what can be guaranteed.
Yes. Where ongoing ownership is needed, we continue with releases, backlog work, monitoring, incident coordination, performance and technical improvement after launch.
We usually start with one workflow. The AI Opportunity Sprint is the first stage of an AI development engagement, covering the workflow, data, integrations and risks before implementation.
It depends on the scope, the systems involved and the amount of ongoing engineering required. Once the work is clearly defined, we provide a commercial proposal against that scope.
Tell us what you are trying to build, automate or stabilise. We will tell you whether Redevon IT is a fit, what we would need to see next and where we would start.
Discuss Your ProjectOr write to us directly at [email protected]
