Report
AI capabilities as verified systems rather than individual prompts
We have transformed recurring tasks, based on personal prompts, into versioned, tested workflows that are portable across model families, with evaluation carried out in-house prior to each deployment.
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Background
In most organisations, AI expertise lies with individual staff members: good prompts in chat histories, inconsistent results, no authorised version. As soon as such results find their way into customer documents, this becomes a governance issue rather than a tool-related matter.
Our Approach
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1
Grouping recurring tasks into documented workflows with defined intermediate outputs and dedicated test scripts.
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Systematic evaluation of each version against fixed test cases before it is distributed within the organisation, including a report on the measured impact.
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Designed for portability across model families, with clear rules on data protection, traceability and human approval.
Result
A company-wide set of approved workflows was established for analysis, research, quality assurance and copywriting. Every change is verified, not simply taken at face value: nothing is rolled out without a test run. Documented cases of errors from the market – such as models that simply pander to their users – are recorded as case studies and incorporated into the rules. The same framework can be applied to client organisations.