05 · AI Managed Services
Your AI environment, expertly managed, so your team can focus on using it.
We take ongoing ownership of your AI tools, spend, and governance, so you get the benefits of enterprise-grade AI management without the overhead of building it in-house.
We take ongoing ownership of your AI tools, spend, and governance, so you get the benefits of enterprise-grade AI management without the overhead of building it in-house.
Overview
What AI Managed Services means in practice
Our AI Managed Services practice is not traditional IT support. We specifically manage your AI environment: the models, tools, spending, governance, and user adoption that together determine whether your AI investment delivers. Think of us as an embedded AI operations team: one that knows your tools, your risk appetite, and your users.
Book a meetingKey benefits
Spend visibility and control
We track every pound spent on AI tools and models, flag anomalies, and optimise your cost-per-outcome across your environment.
Governance and policy
We implement acceptable-use policies, data handling controls, and approval workflows so your AI environment stays within your risk parameters.
User adoption and training
We support your team with onboarding, prompt library management, and ongoing training, so adoption is real, not nominal.
Powered by leading AI platforms. We're model-agnostic
Our process
How we deliver AI Managed Services
Audit & Onboarding
We assess your current AI tool landscape, access management, and spend visibility, then implement the monitoring and governance baseline.
Policy Setup
We work with your leadership team to establish acceptable-use policy, data handling rules, and vendor selection criteria.
Steady-State Management
We take ongoing ownership of user provisioning, spend tracking, model selection, quality monitoring, and vendor relationships.
Optimisation Reviews
Monthly reviews covering spend efficiency, adoption metrics, emerging tools, and governance adherence, with clear recommendations.
What you'll achieve
Why Reformat Labs
What sets us apart
AI-specific, not generic IT
We manage the AI layer (models, prompts, spend, and governance), not your servers or helpdesk tickets. It's a different discipline. When the agent is unsure, it stops and asks a named person. When it is wrong, the sign-off step catches it before anything reaches a client, and we fix the rule that let it through.
Spend accountability
AI costs are notoriously hard to predict and control. We make them visible, reportable, and optimised from month one.
Adoption focus
A managed AI environment only adds value if your team uses it well. We make user adoption a core metric, not an afterthought.
Also from Reformat Labs
Explore our other services
FAQs
Questions about AI Managed Services
Can't find what you're looking for? We're happy to discuss your specific situation directly.
Talk to usTraditional IT managed services cover infrastructure, devices, and helpdesk. We specifically manage your AI environment: the tools your teams use, the models they run on, the spend they incur, the governance that keeps them safe, and the adoption that makes them valuable.
User provisioning and access management, spend tracking and cost optimisation, model selection and routing, governance and acceptable-use policy, security and data controls, performance and quality monitoring, prompt and asset library management, user training and adoption support, and vendor relationship management.
The flat monthly fee is tiered by the number of users and AI tools under management. With no hidden extras, you know your monthly cost from day one.
We support all major AI platforms including Claude (Anthropic), OpenAI, Google Gemini, Microsoft Copilot, and specialist tools. We're vendor-neutral and can manage multi-vendor environments.
We implement spend dashboards, per-user and per-project budget alerts, and monthly cost optimisation reviews. You always know what's being spent, on what, and whether it's delivering value.
Initial setup and baseline documentation takes 2 to 4 weeks. Full service, including governance framework, spend dashboards, and training, goes live within 4 to 6 weeks.
Yes, and many clients run both. We build your AI agents and manage the environment they operate in. Having the same team responsible for both means faster iteration and cleaner governance.
Our work
Work we've done, and what changed
View all workReal Estate / Agent Deployments
22% more viewings handled, without adding headcount
Consumer Services / Agent Deployments
From 4-hour response times to under 90 seconds
Retail / Agent Deployments
Triple the campaign output, same team, no extra budget
Legal / Agent Deployments
First-pass contract review down from an average of 72 minutes to 11
Financial Services / Agent Deployments
Client review prep time cut by two-thirds
Healthcare / Managed Services
Zero patient-facing outages in 12 months for a four-site physio group
PropTech / Application Development
A full platform rebuild delivered in 14 weeks
Dental Practices / AI Workshops
A practical AI workshop that led to a funded implementation plan
Trades / Agent Deployments
Quotes in 20 minutes instead of half a day
Legal / AI Consultancy
A clear AI roadmap for a 25-person law firm, in six weeks
Start here
Start with one job.
Tell us which process costs your team the most time each week. We will tell you plainly whether AI can take it on, what that would involve, and whether we are the right people to build it. You will hear back within one business day.
