AI consulting · London
Independent advice on where AI is worth using in your business, which tools and models fit, and what implementation will cost, delivered as a costed plan your team can act on.
Solutions we've built power teams at:
AI advice often ends in a roadmap that stalls before anything reaches daily use. Ours comes from a team that has delivered more than 50 software and AI projects and knows what implementation involves.
A free call to go through what you want AI to do, how your systems and data look today, and which parts of that are realistic. You leave with our view of where AI fits, and we will say plainly when an assessment is not worth paying for.
Before the engagement begins you get a written scope: which processes and systems are reviewed, who from your team is involved, how long it takes and the fixed price. Every recommendation that follows carries its own cost estimate and expected payback period.
Engagements differ in length and in what they cover, but each starts from how the business runs today, with the people responsible for each process and the data and systems behind them. The work is split into phases, and nothing is invoiced until a phase has been signed off.
You decide who builds what the roadmap sets out, whether that is our engineering team, your existing technology partner or your own developers, and whoever takes it on receives the specifications, architecture decisions and data work in full, since everything produced during the engagement belongs to you.
The recommendations made in a consulting engagement carry more weight when they come from a team that has also built the systems behind them.
Dellar Davies is a specialist events agency in the travel sector where a few people were experimenting with AI independently, with no coordination and no shared view of what was possible. CodeLeap gave the leadership an impartial read on where AI genuinely fitted, function by function, together with a prioritised roadmap for acting on it.
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Read moreWe assess what you already run rather than starting from a list of tools we prefer, and anything we recommend is chosen on merit.
Email, files and internal knowledge usually sit in Microsoft 365, SharePoint or Google Workspace, which makes them the first place to look when a process depends on finding something.
Where a sales or service process runs on Salesforce or HubSpot, the work usually means reading and writing records through the API rather than replacing anything you already have.
Dynamics 365 Business Central, NetSuite, Sage and Xero carry the orders and the accounts, which makes them the systems most often reached at the end of a process.
Which model suits a task is rarely obvious, so part of the work is comparing OpenAI, Anthropic and open models against your own data, your budget and your privacy rules.
Where AI runs follows how you already buy software, so AWS or Azure for most work, and Supabase where a smaller build does not warrant the weight of either.
Most AI work depends on records being consistent first, which is why PostgreSQL, Snowflake and BigQuery come up whenever the groundwork has to be assessed.
Slack, Microsoft Teams and Notion are where informal AI use tends to start, so reviewing what your team already does there is part of any honest assessment.
Bespoke tools with no vendor behind them can still be reached through an API or a direct database connection, which is often where the useful data sits.
These are the systems that come up most often, rather than the limit of what we work with. If your operation runs on something else, including software nobody supports any more, bring it to the first call.
Real reviews from clients we have delivered for, on Clutch and elsewhere.
The enthusiasm, understanding of our mission, and passion from the first few minutes of the call were the deciding factors in choosing CodeLeap. Within 3 months of our app launching, we had over 1,500 downloads, appeared in leading publications from Forbes, The Metro, Marie Claire, Women's Fitness and many more, and started raising further investment.
They are incredibly diligent in the quality of work they produce, and go above and beyond when it comes to solving issues faced within the project, and to ensure we meet strict project deadlines. You never feel like you are one of many clients, and they ensure they are always there to help with any need you have, no matter how big or small.
CodeLeap made me feel like my options were limitless in terms of what could be achieved, which was critical to me as we were creating something very unique. I'm glad I chose Codeleap over a large corporation as the personable approach resulted in a smooth and pleasant experience.
Working with CodeLeap was a very good experience from both a professional and personal point of view. These people know what they are doing and are both efficient and clever and made a good partner. I wouldn't hesitate to recommend CodeLeap.
CodeLeap adds so much value and goes above and beyond what I expected. CodeLeap's team is very flexible with all the different requests we've put in front of them. They've also been great with the whole business side of things, and being able to forecast for this industry is really helpful. Overall, I'm completely satisfied with their work — they've been incredibly helpful.
Their flexibility and focus on quality were outstanding.
Marcelo has been wonderful throughout the process and we are very happy.
Absolutely FANTASTIC. This is very much what I had in mind. We're very pleased with your team, thank you all very much.
£1,500 – £6,000
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Book a free consultationEverything you might want to know before starting a project with us.
If your team can point to a process that takes up time but cannot say which part of it AI should handle, that is the point where consulting earns its place. The same applies where AI projects look too complex or impractical because the right data infrastructure is not in place.
Every department is reviewed, covering how your team uses AI today, where it could be used to greater effect, and what your data infrastructure would need before wider implementation, including any migration work. Security risks in current use are assessed too. It runs over two to three weeks and ends in written findings.
Your workflows are mapped end to end, then each one is assessed for how AI could lead the process rather than assist it. The result is a roadmap ordered by value and effort, with tools, platforms and models named for each step, and costs and timescales you can budget against.
We can, and it is your decision. Our engineering team has delivered more than 50 software and AI projects and can implement what the engagement recommends. Your existing technology partner or your own developers can take it on instead, and everything produced belongs to you.
Usually, yes. Microsoft 365, Google Workspace, Salesforce, HubSpot, Dynamics 365, Xero and the major cloud platforms can all be connected to, and bespoke in-house systems can be reached through an API or a direct database connection. Establishing what is reachable is part of the audit.
Whoever runs the processes being reviewed, for about an hour each, plus someone with authority over systems and data access. For an audit that usually means a handful of conversations spread across two to three weeks. Nobody needs to prepare documentation in advance, and interviews are scheduled around operational commitments.
Yes, and that is often the sensible arrangement. Your supplier knows your systems, and our role covers the AI-specific decisions: what is worth building, which models and infrastructure suit it, and what good delivery looks like. Recommendations are written so another team can act on them, and we will brief them directly.
That is the common case, and it does not stop the engagement. Weak data infrastructure is one of the most frequent causes of failed AI projects, so the audit diagnoses what needs fixing and how much of it has to happen before the first project. Often that groundwork becomes the first piece of work.
A small, experienced team of designers, engineers and problem-solvers working closely with you from first idea to final delivery.
Victor
CTO / Co-Founder
Vivian
COO / Co-Founder
Matt
Project Manager
Amábili
Designer
Konrad
Sales Representative
Kenzo
Tech Lead
Paulo
Tech Lead
Marcelo
Project Manager
Felipe
Tech Lead
Vinny
Advisor
Laura
Commercial Analyst
Takuya
Tech Lead
Kaella
Backend Developer
Mario
Designer
Our team of experts can help you evaluate innovation opportunities for your business.
Prefer to reach us directly? Email us at hello@codeleap.co.uk or call us at +44 (0) 330 122 1101
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