turtledovecyber
AI has found its way on to all of our desks and offers miraculous productivity gains - with consultants offering 'silver bullet' support to anyone who will listen! We know there's value to be realised, but that to do it properly you need to beat the hype and bring AI ambition in line with operations and systems thinking.
Learn how to make your AI enablement process secure-by-default, cost-effective, and practical.
AI at work is all about productivity - and so we naturally try to use it to speed up areas of work we don't enjoy or that feel repetitive, but this plasters over the underlying problems of badly designed workflows, and may produce a productivity debt that appears later on
AI can make work feel faster without reducing the time it takes. The useful question is what happens to the whole task, once checking, corrections and rework are counted.
This early-2025 study from METR asked 16 experienced open-source developers to complete around 250 tasks in code bases they were familiar with.
While the developers believed AI had made them 20% faster, they actually took 19% longer to complete their tasks with it. Sometimes AI just makes us feel productive, but actually slows us down or makes the work harder!
Work with specialists in development, operations and systems thinking, underpinned by cybersecurity expertise. We start with the way your organisation works and build a case for change before choosing the technology.
Staff and stakeholder interviews, a review of your workflows, and a practical assessment of where time and effort are being lost. We identify worthwhile opportunities, establish a baseline and recommend whether to improve the process, automate it or build something new.
Hands-on support to design, secure and build the agreed solution, from integrations and custom tools to appropriate AI use. Measurement is built in, so your team can see the time saved, the quality delivered and the cost of keeping it running.
Interview staff and stakeholders. Map the process, its handovers and the effort involved. Establish what better would look like and how to measure it.
DiscoveryWe'll determine together whether there's a process change, programmatic automation - or justification for AI use or custom tooling. Identifying a better process may be the whole solution!
DiscoveryAgree the data, governance and security requirements before implementation. Set access, residency, contractual boundaries and human oversight for the chosen design. Turtledove supports with policy packs and training if needed.
Implementation SupportBuild the solution and its measurement tooling together. Compare time, output quality, rework and running costs with the baseline. Use the evidence to refine the tool and decide what to keep.
Implementation SupportWhatever you settle on, we're on hand to ensure you deploy fixes while keeping your data protection obligations in mind. We support teams to fully realise the value of commercial services, as well as supporting with private cloud and inference solutions.
Match the plan and contract to the work. Confirm data residency, processing locations, retention, training use and who can access the information. We prioritise EU residency and check that the service fits your customer and supplier commitments.
Where tighter control is needed, Turtledove will support to help you run a suitable model in a private cloud or your own environment. We help you define the access, storage, logging and network boundaries, then account for capacity, model quality and ongoing maintenance. It's more accessible than most people think.