Service 06
Generative AI Operating System
Teams adopt generative AI individually and inconsistently: quality varies by person, nothing is reusable, and no one has agreed what must be checked before output is used. This engagement turns that into a documented, reviewable practice.
What this engagement covers
Who it is for
This engagement suits
- Teams already using AI tools without shared standards
- Organizations concerned about accuracy, tone or confidentiality
- Businesses wanting repeatable output rather than individual talent
- Leaders who need a defensible answer on how AI is used internally
The business problem
What usually prompts it
- Output quality depends entirely on who wrote the prompt
- Nothing is reusable; every task starts from scratch
- No agreed review step before AI output reaches a customer
- Confidential information is pasted into tools nobody approved
What the engagement includes
The work itself
- Review of how AI tools are currently used across the team
- Reusable prompt templates for your recurring tasks
- Documented workflow standards and review checkpoints
- Guidance on what must never be submitted to external tools
- Usage documentation written for the people who will follow it
Tangible deliverables
What you receive
- Prompt template library for recurring work
- Documented workflow standards
- Review checkpoints defining what a human verifies before use
- Data-handling guidance
- Practical usage documentation and adoption notes
How the process works
How this engagement runs.
- 01
Observe current use
Establish what the team already does, which tools are in play, and where quality varies most.
- 02
Standardise the recurring work
Build templates for the tasks that repeat, so quality stops depending on who is at the keyboard.
- 03
Define review
Decide what must be checked, by whom, before output is used — and what must never be sent to an external tool.
- 04
Document and adopt
Write it for the people who will use it, then support the first weeks of adoption.
Expected client participation
What I need from you
- Visibility of the tools currently in use
- Examples of recurring tasks and their output
- Any existing policy on confidentiality or data handling
- Time with the people who will follow the standards
The appropriate next action
Where to start
Tell me how your team uses AI tools today and where the output is inconsistent.
Other services
Engagements often run in sequence.
- 01
AI Opportunity Blueprint
Decide where AI is worth applying in your business, and in what order.
- 02
Workflow Automation Sprint
Document a process that is costing you time, then design and build the automation that removes the worst of it.
- 03
AI Customer Experience System
Connect enquiries, leads, bookings and follow-up into one system that answers people promptly.
- 04
Data and Decision Intelligence
Turn scattered operational data into reporting your team trusts enough to act on.
- 05
AI and SaaS Product Launch Blueprint
Turn a product idea into a specification a development team — or an AI assistant — can build responsibly.
- 07
AI Media and Digital Identity Studio
Build a consistent visual and voice identity for professional media, with governance over how it is used.
- 08
Training and AI Adoption Support
Help your team actually use what has been built, in language that fits how they work.