AI Business Scan

Most AI projects fail because they should never have been started.

There is no reason to implement AI to solve every problem. And no: following the AI hype is not a strategy. At the same time, AI is too powerful to ignore: companies that fail to engage with it risk structural disadvantage.

We propose a solution: partner with us to identify where AI creates durable competitive advantage, and where it does not.

We at NLPPeople AI Advisory are on a mission to help growth-stage companies distinguish signal from hype.

Through a structured AI Business Scan, we quantify economic impact, evaluate readiness, and define the appropriate depth of transformation: ensuring capital-efficient, governance-aware, production-ready execution.

We replace experimentation with prioritization and provide you with everything you need: ROI calculations, feasibility/investment rankings and an AI roadmap. And yes – we can help you implement it, too.

No hype. No indiscriminate automation. Only economically justified AI transformation and proven ability to implement AI solutions only where it matters.

Our methodology

Phase 1. Identify high-ROI AI opportunities and define the appropriate transformation depth.

  • Step 1 – Executive Alignment: Strategic objectives, constraints, and growth ambitions.
  • Step 2 – Business Process Mapping: End-to-end operational mapping and friction analysis.
  • Step 3 – Value Pool Quantification: Revenue, margin, cost, and risk impact estimation.
  • Step 4 – AI Opportunity Heatmap: Categorization into local optimization, cross-functional enablement, or enterprise transformation.
  • Step 5 – Data & Governance Assessment: Data maturity, compliance exposure, AI risk classification.
  • Step 6 – ROI Prioritization Matrix: Ranking by feasibility, impact, and investment required.
  • Step 7 – 12-Month Roadmap: Structured execution plan with investment range and expected returns.

Phase 2. Prepare the organization for AI transformation.

  • Step 1 – Position selected AI projects within the organization with tailored messages and clear objectives.
  • Step 2 – Structure the team, identify business sponsors, experts and stakeholder connections to ensure the right organization in place.
  • Step 3 – Develop a set of metrics and criteria which would allow to assess success of AI projects within the organization.

Phase 3. Execution.