AI success takes more than a good idea. A London-founded team helping UK businesses build an honest AI strategy, governance framework and roadmap, before a single model gets built.
Real AI products our strategy work has shaped
AI consulting means an honest readiness assessment, a prioritised strategy roadmap and a governance framework, before any model gets built. Apptechies is a London-founded AI development company advising UK businesses on exactly that, without a vendor relationship shaping the recommendation.
An honest audit of your data, systems and team capability before recommending anything.
A prioritised roadmap tied to business outcomes, feeding directly into our AI development services in the UK once a use case is agreed, not a list of trendy use cases.
Policy frameworks covered by our compliance and security practices that satisfy UK regulators without freezing your ability to ship.
Getting your team to actually adopt AI tools, not just tolerate a mandate from the top.
Plenty of consultancies will hand you a strategy deck. Fewer have actually shipped 600+ real solutions across 25+ industries, so our recommendations are grounded in what actually works in production, not what looks good in a slide.
Founded in London in 2018, we scope UK regulatory context, GDPR, ICO guidance, sector-specific rules, as part of the strategy itself, not a compliance appendix bolted on afterward.
We advise businesses across the UK, not just London, and coverage does not depend on a client being near one of our desks. If the strategy work points toward a build rather than more advisory work, our hire an AI developer service can staff the engineering work directly.
Strategy grounded in delivery
A prioritised roadmap of AI opportunities scored against feasibility, cost and business value, not a wish list.
An honest audit of whether your data and systems are actually ready for the AI use case you have in mind.
Independent guidance on whether to build custom, adopt a platform, or fine-tune an existing model, without a vendor kickback shaping the answer.
Policies, approval workflows and audit trails that satisfy UK regulators without freezing delivery speed.
Most AI pilots never reach production. Our AI integration services plan the operational, data and monitoring requirements before the pilot starts, not after it works in a demo.
A realistic cost and return model your finance team can actually defend to the board.
Most AI initiatives fail on strategy and data readiness, not model choice. We scope honestly before we recommend anything.
An AI photography platform that turns a few selfies into professional-quality portraits and avatars across thousands of styles, built for consumer scale.
A conversational AI assistant designed to help people enjoy life, learn, and grow through natural everyday conversation.
A decentralized, open-world multimedia infrastructure platform for peer-to-peer content networking without centralized control.
The MSK performance platform Apptechies built has changed how our clinicians track patient outcomes. The data-driven insights have significantly improved rehabilitation decisions, and the team understood our clinical domain deeply from day one.
Most AI pilots die in a demo because nobody planned for production data volume, monitoring or maintenance.
Deploying AI without a governance framework creates real ICO and sector-regulator risk, not just reputational risk.
Committing to a platform before understanding your actual data constraints is expensive to unwind later.
Data minimisation and lawful-basis mapping are scoped into the strategy itself, not left for the delivery team to figure out later.
Where AI materially affects a customer outcome, we build explainability and a human-review path into the governance framework from the outset.
FCA-aware governance for FinTech, NHS DTAC awareness for healthcare, scoped during the readiness assessment, not after a rejected audit.
We tell you honestly when AI isn't the right investment yet, even if that means a smaller engagement.
Founded in 2018 and headquartered in London, with 150+ specialists, UK regulatory context isn't a research exercise for us.
Named Best AI Development Agency by UpCity in 2025, based on verified client work, not a self-issued badge.
The questions we hear most from teams hiring a ai consulting team. Don't see yours? Ask us directly on the right.
It starts with an honest readiness assessment of your data and systems, followed by a prioritised roadmap scored on feasibility and business value, not a generic list of AI use cases.
A focused readiness assessment and roadmap typically runs $10,000-$25,000. A full governance-framework engagement usually runs $30,000-$75,000 depending on scope.
The UK's pro-innovation, principles-based approach to AI regulation still requires GDPR-aligned data handling and, for regulated sectors, FCA or sector-specific guidance. We scope this during the readiness assessment, not as an afterthought.
Yes. Independent build-vs-buy advisory is a core part of the engagement, without a vendor relationship shaping the recommendation.
Yes. Most AI pilots fail to scale because nobody planned for production data volume, monitoring or maintenance. Our AI integration services plan for that before the pilot starts.
Yes, we are happy to sign an NDA before any detailed discussion of your data, systems or business strategy.
Ask whether the firm has actually shipped AI features to production, not just delivered strategy decks, and whether their recommendations are independent of a platform they are also reselling.
A readiness assessment of your data and systems, an honest build-vs-buy and vendor review, a prioritised roadmap scored on feasibility and value, then a governance framework if the engagement calls for one.
Consulting first makes sense when you are not yet sure which use case is worth building, or need an independent view before committing budget. If the use case and data are already clear, our AI development services in the UK can start building directly.
Prompting works with a hosted model as-is and is fastest to evaluate. Fine-tuning adjusts a model on your own data for narrow, repeatable tasks. A RAG pipeline grounds a hosted model in your documents at query time, usually the best fit for knowledge-heavy use cases.
Data minimisation and a documented lawful basis are agreed before any of your data is reviewed, and we are happy to sign an NDA before any detailed discussion of your systems.
Yes. You can hire an AI developer or consultant to work alongside your team on an ongoing basis, or we can run a fixed-scope strategy engagement depending on what you need.
You own every document, roadmap and framework delivered under the engagement. We are also happy to sign an NDA before any detailed discussion of your data or business strategy.
Tell us what you're building, and a senior engineer or solutions architect will reply within 24 hours.
