Automation and AI that actually helps
Less manual work. Fewer mistakes. Better decisions.
Everyone's talking about AI. Vendors promise it will transform your business. LinkedIn is full of people who became "AI experts" six months ago.
Meanwhile, your team is still copying data between spreadsheets. Customers wait too long for answers. The same questions get asked and answered over and over. And you're not sure whether AI would actually help or just add another tool to manage.
Here's the truth: most businesses don't need cutting-edge AI. They need the boring stuff done better with fewer manual tasks, more consistent processes, faster access to the information that matters.
Practical automation that fits how you work
We design and build automation and AI that solves real problems, not impressive demos that fall apart in production.
Sometimes that means AI. Sometimes it means simpler automation. Sometimes it means connecting the tools you already have. We choose the simplest approach that actually works.
What we typically help with:
- Automating repetitive tasks that waste your team's time
- Building AI assistants that answer questions and guide processes
- Connecting systems so information flows without manual effort
- Creating dashboards that surface what matters without hunting
- Reducing dependency on specific people who hold knowledge in their heads
The goal is always the same: your team spends less time on busywork and more time on work that matters.

Common automation and AI solutions
Most businesses come to us with similar problems. These are the solutions that come up again and again.
AI assistants and chat interfaces
Assistants that help staff or customers by answering questions, guiding processes, or looking things up across your systems. Designed to be reliable and bounded, not experimental chatbots that make things up.
Knowledge and document systems
Systems that let your team find information across documents, databases, and platforms without hunting. Useful when knowledge is scattered or locked in people's heads.
Workflow automation
Automation that handles repeatable work across multiple tools and teams. Reduces manual effort, errors, and handovers while keeping humans in control of decisions that matter.
Intelligent process automation
More advanced systems that can monitor, decide, and act within clear boundaries. Designed with oversight and escalation paths so autonomy is applied deliberately, not recklessly.
What this typically costs
Automation and AI projects vary widely, but here's a realistic picture:
Focused automation projects: £15k-£40k Connecting systems, automating specific workflows, building simple assistants. Usually delivered in 4-8 weeks.
AI-powered systems: £40k-£100k+ More sophisticated solutions such as knowledge retrieval, intelligent assistants, multi-step automation. Usually 8-16 weeks depending on complexity.
Assessment and strategy: £3k-£7.5k If you're not sure where to start, our Digital & AI Assessment helps you understand what's worth automating before you commit to building anything.
We don't sell AI for the sake of it. If a simpler solution works, we'll recommend that instead.
AI governance, training, and certification
Building AI is only part of the picture. Your team needs to understand how to use it. Your business needs policies that make sense. And if you're in a regulated industry or working toward certification, you need documentation and processes that stand up to scrutiny.
We partner with Hosomoto, specialists in AI governance and organisational readiness. While we focus on the technology, they focus on everything around it:
- AI governance frameworks: Policies, risk assessment, and accountability structures that help you adopt AI responsibly. Not box-ticking, but practical governance that fits how your business actually works.
- Training and capability building: Getting your team confident and competent with AI tools. From executive awareness sessions to hands-on training for the people using AI daily.
- Standards and certification: Support for ISO 42001 (AI management systems) and other emerging standards. Useful if your clients, investors, or regulators expect formal certification.
This isn't about slowing things down with bureaucracy. It's about making sure AI works safely and sustainably in your business, not just technically.
How we approach this
We follow a simple approach designed to reduce risk and avoid building the wrong thing.
1Understand first
Every engagement starts with understanding your processes, data, and constraints. We often recommend starting with an assessment if the picture isn't clear.
2Find where it fits
If automation or AI makes sense, we identify specifically where it adds value and what type of solution is appropriate. Not everything needs AI.
3Build and prove
We deliver in increments so you see progress and can course-correct. No six-month projects that disappear into a black hole.
A good fit if this sounds like you
- Your team wastes time on repetitive tasks that should be automated
- Information is scattered and hard to find when you need it
- You're under pressure to "do something with AI" but want a sensible approach
- You've seen AI demos that looked impressive but don't trust they'd work in practice
- You want to improve operations without adding complexity or risk
We work with established businesses where automation decisions have real consequences.
If you're looking for experimental AI to impress investors, we're probably not the right fit. If you want practical solutions that genuinely help, we usually are.

Not sure if AI is right for you?
That's a perfectly reasonable place to start.
Book a call and we'll talk through what you're trying to achieve. If AI isn't the answer, we'll tell you. If simpler automation would work better, we'll recommend that instead.
No pitch deck, no pressure. Just an honest conversation about what might actually help.