Intelligence & AI
Explore where data, AI and automation can make analysis and everyday work more useful.
Our interest in AI starts with a practical question: what does it help us understand or do better?
Purpose before tools
The focus: research, insight, reporting and workflows. Tools are considered in relation to the task, the quality of their output and the effort needed to use them well.
AI and automation offer new ways to build on experience across business, marketing, design and UX/UI. Human judgement and client confidentiality remain essential.
The MACO service is in development. We are testing its capabilities in focused stages, not presenting an autonomous or ready-to-use platform.
A practical question before another tool
AI is useful when it helps people do a specific job better. The right starting point is not how many tasks can be automated, but where research, analysis or repetitive work is slowing down a meaningful decision.
This area is relevant when your team is trying to make sense of scattered information, assess an AI use case or decide what should remain under human judgement.
Test a small, complete workflow
Together with your team, we would define the task, its inputs and the expected result. Then agree how to evaluate quality, where errors would matter and who makes the final decision. A narrowly scoped test can reveal whether an approach is useful before a larger investment.
Some tasks are better served by a spreadsheet, a rule or a standard integration. An AI agent is not automatically the most reliable or economical choice. Any proposed solution should make the ongoing cost and maintenance visible alongside the potential time saved.
What to bring
A real example of the task, its current steps and the difficulties involved will help. Avoid uploading confidential client information until the purpose, access and data handling have been agreed.
Questions to discuss
Can AI make the final business decision? MACO's approach keeps decision responsibility with people. Evidence and uncertainty should remain visible.
Do we need a custom system? Not always. Existing tools or a simpler workflow may be sufficient.
How do we know a pilot worked? Compare it with the current process using agreed quality, time, cost and failure criteria. A convincing demonstration alone is not enough.