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Engineered With AI

AI Automation

AI Automation for Edinburgh Businesses

We design and build custom AI systems that take the repetitive intake, reporting, and admin work off your team, so your Edinburgh business handles more clients and enquiries without stretching the specialists you already struggle to hire.

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Custom-builtProduction-readyMeasurable ROI
Why now

Why Edinburgh Businesses Are Moving to AI

Edinburgh carries an unusual weight of high-value work for its size. Asset managers and insurers cluster around the Exchange District and Charlotte Square, fintech and product teams fill CodeBase and the Quartermile, and studios and agencies line Leith Shore. All of it runs on scarce, expensive people, and the University of Edinburgh and Heriot-Watt turn out the AI talent that everyone else is competing to hire. When salaries climb and specialists are hard to keep, the firms that stop burning them on manual admin pull ahead. Custom AI lets a lean Edinburgh team cover support, operations, sales, and reporting around the clock without adding headcount.

The real risk

The Cost of Standing Still

While you weigh it up, the firm along George Street or out at Edinburgh Park is already using AI to answer enquiries faster, clear its backlog, and quote before you do. Every month without automation is a month of manual work you are paying full salary for, and ground you give up quietly in a city where regulated finance and fast fintech both move at pace.

What we build

AI Systems Built Around Your Business

We do not sell you a chatbot and leave. We build production-ready systems that solve real problems across your operation.

Workflow Automation

We shadow how the work really flows, find the manual steps that eat back-office and client-service hours, from onboarding checks to report packs, and rebuild each one as a system that runs itself and only escalates to a person when judgement is actually required.

AI Agents

Autonomous agents that own a task from first touch to resolution, sorting inbound enquiries, drafting the reply, writing back to your records, and moving the case to its next stage, so a small Edinburgh team stops being the bottleneck on routine requests.

Sales and Marketing AI

Every enquiry gets logged, scored, and chased within seconds of arriving, so a fintech scaleup or a Festival-season tour operator stops losing warm leads to a slow reply or an inbox nobody has time to clear.

Data and Analytics AI

Bring client, pipeline, and portfolio numbers together from the spreadsheets and disconnected tools they hide in, and surface them as one live dashboard, so partners and heads of ops act on today’s position instead of last week’s export.

Custom Integrations

We connect the AI into whatever Edinburgh teams are already running, whether that is Salesforce, HubSpot, Xero, a fund or policy platform, or a Microsoft 365 inbox, so the build reinforces your stack instead of becoming one more disconnected tool.

Ongoing Optimisation

Once a system is live we keep measuring it, retrain and adjust as your caseload and the rules around it change, and roll it into the next process only after it has proven its worth on the current one.

The payoff

What AI Does for Your Bottom Line

A tightly scoped automation pays for itself in the hours it gives back. It works through the repetitive intake and reporting queue, keeps going overnight, at weekends, and through the August surge, and hands your expensive Edinburgh specialists their attention back for clients, product, and the compliance calls only they can make. The result is more capacity on the same payroll.

40%
of repetitive work automated
24/7
operations with no overtime
Weeks
to a live system, not months
The Edinburgh picture

AI Automation Built for Edinburgh’s Firms

A capital built on financial services and code

Edinburgh is one of Europe’s largest financial centres and the UK’s biggest asset-management base outside London. Charlotte Square and the Exchange District hold long-established fund managers and insurers, while Edinburgh Park and the Gyle out west anchor the larger banking and pensions operations. Alongside them sits a real tech story: Skyscanner and FanDuel both started in the city, Rockstar North builds its games here, and CodeBase near Lauriston grew into one of the UK’s largest startup incubators.

That mix decides what automation has to handle. A page written for a generic office would miss it. Edinburgh work leans heavily on regulated finance, client reporting, and product engineering, and the people doing it are among the most expensive inputs the business has. We build for that reality rather than for a template.

What Edinburgh firms actually put on autopilot

The repetitive work here has a particular shape. Across asset managers, insurers, and fintechs the same jobs recur: KYC and AML onboarding checks, client and investor reporting, fund fact sheets and RFP responses, claims and policy admin, and support triage for financial products. Professional services and legal teams around the New Town add document-heavy intake and case work, and tourism and hospitality operators carry a booking and enquiry load that spikes hard every August.

Our first build is always the one with the clearest return and the least exposure, typically a single workflow that is both high volume and heavily rule-based, and we get it working in production before touching anything else. An asset manager might open with client-reporting assembly and later fold in RFP drafting, while a fintech might lead with onboarding checks and grow into handling transaction queries.

  • KYC and AML onboarding and document checks
  • Client, investor, and fund reporting assembly
  • Claims intake and policy administration
  • Support triage for financial and SaaS products
  • Booking and enquiry handling through the Festival surge

Omnichannel intake and the integration reality

Hardly any Edinburgh team is on a single platform. Work comes in from the website, a shared Outlook mailbox, the phone, LinkedIn, and referrals from partners, while the records themselves are spread across Salesforce or HubSpot, Xero or Sage, Microsoft 365, and whatever portfolio, policy, or booking tool the sector runs on. An AI layer is only useful if it can both read and update every one of those, which is why so much of a project’s worth lives in the integration work rather than the model on its own.

That connective work is ours to get right, and regulated work raises the bar on it. Financial services and fintech firms answer to the FCA and to Consumer Duty expectations, every business here carries UK GDPR obligations, and enterprise partners will run a security review before anything touches their data. We design around data residency, access controls, and clear human oversight from the first sketch, and we describe how a system supports your obligations rather than promising a regulatory outcome.

A city that trains its own AI talent

Few cities sit as close to the research as Edinburgh. The University of Edinburgh runs one of the largest informatics and AI schools in Europe, its Bayes Centre focuses on data science and AI, and Heriot-Watt hosts the National Robotarium. The regional Data-Driven Innovation programme has openly set out to make Edinburgh a data capital, and that ambition keeps pulling talent and investment into the city region.

That depth cuts both ways for local employers. The talent exists, but the biggest names compete hard for it, and most firms cannot justify a full in-house AI team for a handful of workflows. Bringing in engineers to build the systems and then run them gives you that capability without the hiring race, and leaves your own specialists free for the work only they can do.

Why Engineered With AI

Why Businesses Choose Engineered With AI

Engineering is the whole point of this firm. The CTOs, heads of ops, and compliance leads we build for get a team that talks their language, scopes against the constraints and the regulator they actually answer to, and delivers systems that survive contact with production instead of impressive demos that fall over a week later.

✓

Engineers who get business

We build around your goals and your numbers, not around whatever is trendy in AI this month.

✓

Production-ready systems

Real systems you can deploy across departments, not demos that fall apart in the real world.

✓

Built to measure

Every system is tied to an outcome, so you can see exactly what your investment is returning.

✓

End-to-end delivery

From strategy to build to optimisation, we own the whole thing so you do not have to project-manage it.

Real results

What Our Clients Say

★★★★★

“They automated our client onboarding and follow-up across the whole team. What used to take our people half a day now happens the moment an enquiry lands.”

CR
Callum RossManaging Director, Edinburgh Wealth Firm
★★★★★

“We expected a chatbot. We got a production system that took a full day of manual work off our operations team in Leith, every single day.”

FS
Fiona SinclairOperations Director, Leith SaaS
★★★★★

“These are engineers, not hype merchants. Everything they built works, is documented, and keeps improving.”

GD
Graham DochertyCTO, Edinburgh Fintech
Common questions

AI Automation in Edinburgh: Your Questions Answered

How much does AI automation cost for an Edinburgh business?
Pricing follows the result, not a timesheet. Running and managing a live system is a monthly engagement from £2,500, while a one-off custom build is quoted separately as a fixed-price project from £3,000 once the workflow is clear. On a discovery call we put the figure and the expected payback in front of you before anything is agreed.
How long before a system is live?
A focused automation is usually in production within weeks, not months. By design we launch a single high-impact, low-risk workflow first, so a stretched Edinburgh team feels the benefit quickly, and everything after that grows from a system already paying its way.
Do you work with financial services, asset managers, and fintechs?
Often. Edinburgh’s asset managers, insurers, and fintechs are precisely where capable people lose hours to onboarding checks, reporting, and admin. We take that load off them and build around FCA expectations, Consumer Duty, and UK GDPR, keeping a human clearly in the loop so the system backs up your obligations instead of working against them.
Will it connect to our existing stack and sector platforms?
It does. We plug into the CRMs, finance systems, Microsoft 365 mailboxes, and databases already in place, and when a build calls for it we reach into portfolio, policy, or booking platforms too. The point is to slot into how you work today, not to make you rebuild around us.
How do you handle data security and compliance for regulated work?
Security is part of the design from day one. We build to UK GDPR, hold to data-residency and access rules, and shape each project so it clears the security reviews that regulated finance and enterprise partners put it through. Where the work is sensitive we add the agreements and controls your business requires.
Do you work with teams across Edinburgh, and can you handle the Festival surge?
Yes. We support teams right across the city, from the Exchange District, Charlotte Square, and George Street to CodeBase, the Quartermile, Leith Shore, and Edinburgh Park. Delivery works well remotely, and for tourism and hospitality operators we can size a system for the enquiry spike that arrives with every Festival and Fringe season in August.
What should an Edinburgh business automate first?
Begin with the tasks that are frequent and rule-driven: enquiry and onboarding intake, pulling reports together, document handling, and the multi-step processes that keep ricocheting between people and inboxes. We help you choose the one that pays back fastest at the lowest risk, and grow from there.

Ready to Put AI to Work in Your Business?

Book a discovery call and we will look at where AI can save you the most time and money, then show you exactly what we would build.

Book a Discovery Call