GRI and GRI AI in plain language

GRI helps you understand what constrains business growth. GRI AI helps you identify where AI could be useful and how to test that value. Start with a task, gather evidence and choose a next action.

GOAL

Turn an unclear problem into a concrete task and a testable plan.

DELIVERABLE · WHAT YOU WILL MAKE

A constraint map or AI experiment card: evidence, chosen action, accountable role, deadline and verification method.

GRI: business readiness for growth

Describe the starting point: what is happening now and what outcome is needed. Then examine seven connected areas for observations, examples and evidence gaps. Use these to choose a constraint worth addressing first.

1. Product and demand

Does the customer have an important task, and is there evidence that your solution is needed?

2. Trust and positioning

Does the customer understand your value, and what supports their trust?

3. Business model

How does the business earn money, and what must remain sustainable as it grows?

4. Cash flow

When does cash arrive, and is it sufficient to meet commitments?

5. Operations

Can the result be repeated without constant manual intervention?

6. Team

Are roles, deliverables and ways of working together clear?

7. The founder’s role

Which decisions depend on one person, and what can be delegated?

The output is a 30-, 60- and 90-day plan. Each action has a deliverable, accountable role, deadline and review point. This is a working structure for discussion, without assigning the business a score or readiness level.

Identify growth constraints →

GRI AI: from a tool to a useful change

AI is useful when it helps complete a concrete task. Examine three sides of the same change: the person, the business and the organization.

Human

What task is the person doing? What gets in the way? Will choosing, understanding or acting become easier?

Business

Which observable change benefits the business? What will we compare it with, and which costs must we include?

Organization

Are the required data, accountable roles, quality checks and a way to stop an unsuccessful experiment in place?

The experiment card records a hypothesis, baseline, comparison, human outcome, business measure, errors and limitations. After testing, decide whether to continue, revise or stop. Record facts, interpretations and assumptions separately.

Test AI value →

Example: a customer has to start again

A customer chooses a product online, asks questions in chat and visits a store. The adviser repeats the same questions. The problem is lost context across channels. Before adding AI, describe the customer’s task and find where information is lost.

The deliverable is a handoff map and test record showing which information must be preserved, who passes it on, and what happens after an error or repeat visit. If testing an AI suggestion, compare it with the current process: does it help the customer continue, how accurate is it, and when is a person needed?

An illustrative example based on Lab materials, not verified HONOR implementation results. A scenario matrix lists possible tests, not confirmed working integrations.

Test the customer journey across channels →

How to use the library

  1. Describe the problem in your own words and choose a suitable route.
  2. Read the goal and deliverable: they should fit your task.
  3. Complete the practice, separating facts from assumptions. Do not enter sensitive information.
  4. Download the worksheet and agree when to review the action’s effect.

The route percentage shows completed steps only. It is not a business assessment, a GRI index or evidence of AI impact.

The S01–S13 stages and 13-week programme in the catalog describe development of the GRI AI methodology. User routes address specific practical problems.

Materials behind the library

Author-provided working materials are adapted into questions, practice and expected deliverables. Scoring calculations are not published.

  • GTM Genius — market, customer, value, offer, channels, sales, economics and team.
  • GRI v11 with colored report — growth-readiness areas, constraints and action planning.
  • GRI AI Implementation Roadmap Detailed — research programme, stage goals, deliverables, evidence and experiments.
  • HONOR omnichannel customer journey — channels, context and test scenarios.
  • HONOR omnichannel journey checklist — customer actions, system behaviour and acceptance criteria.
  • HONOR Living Lab Reading Roadmap 90 days — connecting reading, practice, experiments and outcomes.
  • AIStart360: concept, universal process and questionnaire v2 — starting point, goal, process evidence and next actions.

External research, books and expert materials remain available in the original catalog and alongside each route.

Explore the 64 sources →
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