Urban Choices Knowledge Strategy

Industry Expertise as the Source of Intelligence

1. Core Principle

Urban Choices is not attempting to “replace” industry experts with AI.
Instead, the platform is designed to capture, preserve, and scale real-world expertise from professionals who have deep, practical knowledge in specific industries and applications.

The intelligence of Urban Choices—and AskBrian in particular—is built directly from these expert engagements.

2. Who the Experts Are

Urban Choices actively engages with:

• • Furniture manufacturers

  • Designers and specifiers

  • Ergonomics specialists

  • Fit-out professionals

  • Industry consultants

  • Application specialists (education, healthcare, corporate, hospitality, industrial, public spaces)

Each expert contributes application-specific insight, not generic theory.

3. How Expert Engagements Take Place

Structured Online Sessions

• • Knowledge is captured through online meetings (e.g. Zoom / Teams).

  • Sessions are conversational, guided, and practical—not technical.

  • Experts simply explain:

    • How decisions are made

    • Why certain products work in specific environments

    • Common mistakes to avoid

    • Trade-offs between cost, durability, ergonomics, and aesthetics

No preparation beyond normal professional discussion is required.

4. AI’s Role – Silent Knowledge Assimilation

During these online engagements, AI works quietly in the background:

• Conversation Transcription:
  AI converts spoken discussions into structured text.

• Insight Extraction:
  Key points such as:

  • Decision logic

  • Rules of thumb

  • Preferences and constraints

  • Application-specific recommendations
    are automatically identified.

• Knowledge Structuring:
  The AI organises the information into:

  • Applications (e.g. classrooms, call centres, laboratories)

  • Product types and attributes

  • Use-case rules and guidance

  • Do’s and don’ts learned from experience

Experts do not interact with the AI directly—the system adapts around them.

5. From Conversation to Intelligence

After each engagement:

1. Raw insights are reviewed and validated.

2. Duplicate or conflicting inputs from multiple experts are resolved.

3. Consensus patterns emerge across industries and applications.

4. These patterns become reliable, reusable knowledge inside AskBrian.

This ensures that AskBrian reflects collective industry wisdom, not a single opinion.

6. Continuous Learning Model

Urban Choices is not a once-off training exercise.

• Every new expert engagement:

  • • Refines existing knowledge

    • Adds new application layers

    • Updates recommendations as markets evolve

• AskBrian improves through:

  • • Ongoing expert input

    • Real-world feedback from users

    • Continuous validation against industry standards

This makes the platform future-proof and adaptive.