01 / AI PRACTICE
What AI helps us do.
Eight cases explain how we use AI in departmental management, customer support, research, financial modelling, and other work.

Automate departmental work management.
AI connects a shared work baseline, new evidence, progress review, and clarification to support departmental coordination.

Keep partner knowledge ready for the next task.
AI turns conversations and materials into an evolving record that supports follow-up, decisions, and communication.

Use AI for product research and comparison.
A research question becomes evidence collection, product walkthroughs, comparable assessment, and a reviewable report.

Produce external material from shared facts and standards.
Connect accumulated knowledge, audience requirements, terminology, and review to produce consistent material in different formats.

Use AI to organize reviews, coverage, and impersonation reports.
AI-assisted collection, classification, deduplication, and evidence records turn scattered feedback into a reviewable report.

Use AI to build and revise financial models.
Connect authoritative inputs, explicit assumptions, calculation, reconciliation, and human review rather than generating an isolated forecast.

From manual customer support to automation.
AI supports replies. Structured case records can also help improve future support and products.

Write clear instructions and let AI do the work.
Define the goal, materials, steps, and checks so AI can execute the task and others can take it over.
What it knows
Product facts, partner research, feedback, and work standards give AI context for specific tasks.
- 01Authoritative facts
- 02Company & business
- 03App products
- 04Hardware products
- 05Intellectual property
- 06Partner research
- 07Payments
- 08Security research
- 09Marketing & support
- 10Industry & regulation
- 11Teamwork
- 12Rules & standards