How we work
The Weissmann AI Method
The Weissmann AI Method is our structured way of taking AI from idea to measurable result – in seven clear steps. It ensures every project pursues real value, starts low-risk and improves based on numbers rather than assumptions.
- 1
Discover
We understand your business, your processes and where AI genuinely helps – before any talk of technology.
- 2
Analyse
We prioritise use cases by value, feasibility and risk, and review data, processes and data protection (revDSG).
- 3
Design
We design the solution: conversation flow, rules, hand-offs and integrations – with clear human oversight.
- 4
Build
We configure and build the solution specifically for your industry and connect it cleanly to your existing systems.
- 5
Deploy
We put the solution live – often with a pilot – and support your team through the rollout.
- 6
Measure
We measure the right metrics – time saved, enquiries answered, quality – instead of relying on gut feeling.
- 7
Optimize
We continuously improve the solution based on real data and extend it where it proves its worth.
Why a clear method matters
Most failed AI projects fail not on technology but on lack of focus: no clear use case, no measurement, no ownership. A structured method keeps every project anchored to real goals and makes progress visible. That way you invest where AI demonstrably works – not where it looks most impressive.
Frequently asked questions
Which projects does the method apply to?
To all our services – from the AI phone assistant through websites to automation and agents. The depth of each step scales with the size and risk of the project.
Does every project start with a big plan?
No. We deliberately start small and low-risk, often with a pilot, and only scale what measurably works.