Specialist · Technology & Automation
AI and automation, judged by the friction they remove.
The question is never whether to use AI. It is where AI or automation actually pays off, and where they are an expensive distraction.
What the work covers
From friction, to the right use cases, to something that runs
We start from where work is slow, manual or error-prone, decide where AI and automation genuinely help, and prototype before committing. The goal is commercial advantage, not a demo.
Find the friction
- Opportunity assessment
- Process & data review
- Use-case shortlisting
- Build-vs-buy calls
- Realistic ROI view
AI where it earns it
- AI sales agents
- AI customer-service agents
- Assisted internal workflows
- Content & research support
- Guardrails & oversight
Automation that holds
- Sales & marketing automation
- Operational workflow automation
- CRM & data workflows
- Integrations
- Prototype, then scale
The best automation is often the least exciting.
A quiet workflow that removes an hour of manual work every day usually beats a flashier AI project that never leaves the pilot. We are happy to recommend the boring option when it is the one that pays.
Common questions
Everyone is selling AI. How do we tell what is real?
By starting from friction, not from the technology. We look at where manual work, slow decisions or bad data actually cost you, then ask whether AI or plain automation removes that friction better than the alternatives. Some of the highest-return work is unglamorous automation; some genuinely calls for AI. The test is the same: does it remove friction, improve a decision, or create advantage.
What are AI agents, in practical terms?
An AI agent is software that can carry out a defined task with some autonomy — for example handling first-line customer questions, qualifying inbound enquiries, or moving information between systems. Useful when the task is well-defined and high-volume, with clear guardrails and a human in the loop where judgement matters. Not a replacement for strategy, and not worth it for work that does not repeat.
Do you build the systems yourselves?
We define the problem, architect the solution, prototype it, and implement selected work — and we coordinate specialist builders for larger systems. We are honest about the line: you get technology that fits the commercial plan without hiring a software house to find out whether it should exist.
Where should we start?
Usually a short assessment: where the friction is, which use cases are worth it, and what to prototype first. Starting small and proving value beats a long platform project that stalls before it pays off.