Not every process needs artificial intelligence. Often the best result comes from a mix of simpler automation, better-connected software and a few carefully chosen AI capabilities.
We look at how your team works, which tools it uses and where manual effort or scattered information slows things down. Then we name realistic opportunities and help decide which are worth pursuing first.
What we deliver
- Interviews and workflow mapping
- Inventory of tools, data sources and access
- Assessment of each opportunity: value, feasibility, risk
- A recommendation per task: automation, AI-assisted or manual
- Data protection and security considerations
- Pilot definition with success criteria
- Estimate of build and running costs
- Prioritised implementation roadmap
Technology & implementation
We map selected workflows step by step: inputs, decisions, systems, hand-offs and how long each step takes. For every candidate task we check the data it depends on (whether it exists, in what format, who may access it), how often the task occurs, what an error would cost, and whether the steps can be written down as rules.
Tasks that follow fixed rules are recommended for ordinary automation. Tasks that involve reading, classifying or drafting text are candidates for AI, provided the output can be checked. Tasks with serious consequences stay with people, with AI at most preparing the material.
The strongest candidate becomes a pilot with a defined scope, success criteria agreed in advance (time saved, error rate, answer quality) and an estimate of build and running costs, including model usage.
How the work runs
Interviews
Short conversations with the people who do the work, not only the people who manage it.
Mapping
Selected processes drawn out with volumes, time spent and the points where things stall.
Assessment
Each opportunity rated for value, feasibility, data availability and risk.
Recommendation
A written report and a working session to agree the first pilot.
Example use
An illustrative scenario, not a description of a completed project.
A service business spends substantial time preparing quotations, answering repeated questions and maintaining customer information across disconnected tools.
We assess which activities are suitable for automation, which may benefit from AI and which should remain under human control.