Foundation
a map of the current process, participants, data, and delays

AI discovery and planning
We examine processes, documents, enquiries, and recurring operations to identify where AI may save time, define the constraints, and propose a pilot with a measurable result.
This service is for business owners and operating teams that have a real workflow problem but need to test its value, data readiness, risks, and implementation scope before selecting tools or commissioning an integration.
We interview participants, map current work, identify delays and manual operations, and separate useful scenarios from impressive but uneconomic experiments. The selected scenario receives defined inputs, expected outputs, access rules, confidentiality requirements, acceptance criteria, and a human decision owner.
The final configuration follows the approved brief, channels, source materials, schedule, and rights framework.
a map of the current process, participants, data, and delays
a prioritized set of AI scenarios with risks and expected value
requirements covering access, confidentiality, quality, and human control
a pilot plan with inputs, acceptance criteria, and a continuation decision
Use these examples as a starting point. A producer will confirm the actual production route after reviewing the brief.
Scope, inputs, timeline, approvals, and usage rights are confirmed for the actual project.
Scope, inputs, timeline, approvals, and usage rights are confirmed for the actual project.
Scope, inputs, timeline, approvals, and usage rights are confirmed for the actual project.


Open a question to review the production boundary before briefing the team.
We examine processes, documents, enquiries, and recurring operations to identify where AI may save time, define the constraints, and propose a pilot with a measurable result.
Depending on the brief, deliverables can include a map of the current process, participants, data, and delays; a prioritized set of AI scenarios with risks and expected value; requirements covering access, confidentiality, quality, and human control; and a pilot plan with inputs, acceptance criteria, and a continuation decision.
Critical decisions, pricing, legal wording, and publication remain the responsibility of an assigned person. Sensitive data must not be sent to unverified services or used without a lawful basis. Any estimate of time saved must include data preparation, maintenance, and quality control and must be tested in the actual pilot.
Move from the current task to production, evidence, estimation, or project launch without losing context.
AI consulting that turns a business problem into a testable implementation plan
Define users, recurring questions and the actions the assistant is permitted to take. Assign a source and an update owner to each answer. Public information, internal documents and personal data need different access rules.
Test precise and ambiguous questions, stale sources and missing answers using examples without unnecessary personal data. The assistant should state its limits and route unresolved cases to the responsible person.
Agree a change log, source-review schedule and a way to disable faulty scenarios. Test search and navigation first, then external actions separately. A chat response alone is not evidence that an operation was completed.