Overview
Gauge helps businesses understand whether they are ready to adopt, build, and scale AI.
Instead of giving them a generic AI score, Gauge guides them through a structured assessment of their strategy, data, technology, people, processes, use cases, and governance. It then identifies the biggest gaps, highlights the most valuable opportunities, and creates a prioritized roadmap for what to do next.
Think of it as Notion for AI readiness: every assessment is a living page containing questions, evidence, notes, scores, recommendations, and an evolving action plan. It can be used by a company assessing itself, or by a consulting team guiding a client through the process.
Gauge is not just an assessment tool. It is a system for moving a business from "We should use AI" to "Here is where AI can create value, what is blocking us, and what we should do in the next 90 days."
What it is
Gauge is a configurable AI readiness and opportunity assessment platform for businesses and consultants.
It helps organizations answer four questions:
- Where are we today?
- What is preventing us from using AI effectively?
- Where could AI create the most value?
- What should we do next?
The product is organized around a progression: Assess → Diagnose → Discover → Prioritize → Act.
Key Features
- AI readiness assessment: Evaluate a business across strategy, data, technology, processes, people, culture, use cases, and governance.
- Assessment pages: Give each client, department, or AI initiative a dedicated workspace for questions, answers, evidence, notes, and recommendations.
- Guided questions: Replace vague AI conversations with clear questions that reveal how the business currently operates and where it is prepared or unprepared.
- Evidence-based scoring: Let users attach notes, documents, and references to support their answers instead of treating an unsupported opinion as a final assessment.
- Maturity scorecards: Show an overall readiness level while also exposing the individual scores that make up the result.
- Gap and risk detection: Identify the specific constraints that could prevent an AI project from succeeding, such as poor data quality, unclear ownership, missing skills, or weak governance.
- Opportunity discovery: Recommend practical AI use cases based on business value, feasibility, available data, and organizational readiness.
- AI-generated reports: Turn assessment responses into a clear explanation of the company's current position, strengths, weaknesses, and priorities.
- Prioritized roadmap: Convert recommendations into sequenced actions, including immediate foundations, near-term pilots, and longer-term transformation work.
- Embeddable client tools: Publish focused assessments and interactive tools directly inside a consulting or corporate website.
- Business diagnostics: Carry forward structured multi-dimension scoring for companies that need a broader picture of readiness and growth constraints.
Assessment structure
- Strategy: Clear business reason to use AI, with leadership ownership and measurable goals
- Data: Required data available, accessible, accurate, organized, and governed
- Operations: Processes documented, repeatable, and suitable for improvement or automation
- Technology: Systems, infrastructure, integrations, and technical capability to support AI
- People and adoption: Skills, ownership, culture, and willingness to use AI in practice
- Governance and trust: Privacy, security, compliance, accountability, and responsible-use practices
- Use cases: What the organization wants AI to improve
Product flow
- Create an organization profile
- Complete a guided assessment
- Add evidence
- Generate the diagnosis
- Explore AI opportunities
- Prioritize initiatives
- Generate the roadmap
- Keep the page alive as the business improves