AI Integration
Adding language and vision models to existing products, with sensible fallbacks for when the model is wrong.
Service 02
AI & Intelligent Automation
We use AI, automation and your own data to take the repetitive work out of how your business runs.
Also covers
- AI Integration
- Workflow Automation
- Data Analysis
Most AI projects fail for boring reasons. The model was fine, but the data was scattered across four systems, nobody owned the process it was meant to improve, and the results landed in a dashboard nobody opened. So we start from the workflow, not the technology. We find the step where people are copying, checking or waiting, then work out whether it needs automation, an AI model, better data, or just a clearer process. Sometimes the right answer involves no AI at all.
01The work
What's included
AI Assistants & Agents
Assistants built for one real job, like answering questions from your documentation, drafting replies or sorting a queue, with a person still checking the calls that matter.
Workflow Automation
Removing the copy-paste-and-check steps between the tools your team already uses.
Process Automation
Longer processes like approvals, onboarding and monthly reporting, cut down to the parts that genuinely need a person.
Intelligent System Integration
Getting systems that were never designed to talk to each other to agree on what a customer record is.
Data Analysis & Insights
Turning the data you already collect into something specific enough to act on.
Reporting & Decision Support
Reports built around the decisions you actually make.
Evaluation & Guardrails
Checking whether an AI feature is getting things right, and reining it in when it isn't.
02How it runs
The phases, in order
- 01
Find the friction
We look at the workflow as it runs today and measure where the time goes, before proposing anything.
- 02
Prove it small
A narrow pilot on real data, with a success measure agreed in advance so 'it feels better' is not the verdict.
- 03
Integrate
Connect it to your main systems and to the people who own the process, with safety checks and a manual override.
- 04
Measure and tune
Track accuracy, time saved and cost. Keep what works, switch off what does not.
03Common questions
Questions about this service
That depends on choices we make together, and we make them explicitly: which data leaves your systems, which provider processes it, what is retained, and what stays entirely on your infrastructure. If data residency or confidentiality rules out a hosted model for part of the work, we design around it.
Often just better automation. If a process follows clear rules, rule-based automation is cheaper, faster and easier to trust than an AI model. We only use AI where the task involves real ambiguity, such as reading language, looking at images or making a judgement call.
It will, sometimes, so we plan for that from the start. We design AI features so a wrong answer is easy to spot and easy to undo: a person reviews the steps that matter, the system flags when it isn't sure, and there's always a way back to the old process.
Yes, and that's usually the cheapest route. Most useful automation connects systems you already pay for, so you don't have to move onto a new platform.
Related
The other two services
01
Digital Product Engineering
Websites, web apps, mobile apps and custom software, designed and built together as one product instead of a pile of separate deliverables.
03
Digital Growth
Marketing, content and social media run as one plan, and judged on the enquiries they bring in.
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