AI Opportunity Discovery & Context Sourcing

Problem-First AI Adoption

You see AI everywhere but struggle to see where it creates value for you.

We help you identify high-impact AI opportunities through structured problem discovery and context sourcing. Built on the Kendall Framework, this capability focuses on problems and outcomes, not technology hype.

Discover What Matters. Build What Works. Let’s Talk

Ask about AI discovery

What This Capability Provides

Consulting focused on identifying where AI creates value, not implementing tools.

We help you surface your highest-impact problems, capture structured context from your teams, and build a prioritised AI roadmap that reflects real conditions and constraints.

Built on The Kendall Framework - a structured, data-driven methodology for problem-first AI adoption.

Problem discovery – Structured sessions that surface where AI can create value

Context sourcing – Capture real-world knowledge from your teams and operations

Prioritisation – Clear view of which opportunities matter most and why

AI roadmap – Direction grounded in problems, not vendor pitches

Team alignment – Shared understanding across technical and business stakeholders

What Improves for You

AI adoption fails when organisations chase technology instead of solving problems. This capability helps you avoid that pattern.

Strategic Clarity

See where AI creates value, not just where it can be applied
Understand which opportunities align with business strategy
Make better decisions about AI investment and direction

Reduced Risk

Avoid chasing AI trends that don't fit your context
Build on structured evidence, not vendor promises
Focus effort on problems you can actually solve

Team Capability

Enable your teams to identify and evaluate AI opportunities
Create shared language and understanding of AI adoption
Build capability that persists beyond the engagement

How We Work

Structured Discovery Sessions

We facilitate sessions with your teams to surface real problems and challenges. Not generic AI training - focused work that produces usable intelligence.

Context Capture

We help you gather structured context from your operations, teams, and existing systems. This context makes AI useful rather than generic.

Evidence-Based Prioritisation

We work with you to evaluate and rank opportunities based on impact, feasibility, and strategic alignment. No gut-feel decisions.

Roadmap Development

We create a clear, prioritised AI roadmap that reflects your actual conditions and constraints. Direction you can act on.

Ongoing Guidance

We provide quarterly or half-yearly discovery cadence to keep your AI strategy adaptive and grounded in reality.

What Customers Are Saying

MCLE

“The Kendall Project made abstract AI concepts tangible and actionable. We walked away with a clear direction, a more empowered team, and a practical framework for leveraging AI in our work. It was a smart investment, worth every penny.”

details...

CustomGPT

“The Kendall Project helps you prioritise what truly matters. Engaging the team from the start uncovered shared challenges, aligned priorities, and enabled solutions with immediate support.”

details...

The Problem-First Difference

Technology-First Approach	Problem-First Approach
Starts with AI capabilities and looks for problems	Starts with real problems and evaluates whether AI helps
Driven by vendor roadmaps and AI hype	Driven by strategic priorities and operational reality
Generic solutions that don't fit your context	Context-specific solutions grounded in your conditions
High investment with unclear return	Focused investment on high-impact opportunities

The Kendall Framework Foundation

This capability is built on the Kendall Framework—a structured, data-driven methodology designed to help organisations identify and prioritise AI opportunities effectively.

The framework provides structure for problem-first AI adoption: defined accountabilities, structured artefacts, regular discovery events, and clear prioritisation methods.

It emphasises context-driven AI, human agency, and empirical decision-making over technology trends.

This problem-first, facilitated discovery approach mirrors patterns we’ve used to help organisations transform product management across borders and enable large-scale organisational change —building shared understanding and capability through structured practice.

Problem before solution – AI begins by addressing real, observable problems

Context creates meaning – Defined context turns generic intelligence into purposeful outcomes

Clarity of language – Precise language is the raw material of AI and management alike

Accountability anchored in stakeholders – AI must serve clearly identified stakeholders

What Gets Delivered

Problem Discovery Report

Structured documentation of identified problems, their context, and strategic relevance

Context Repository

Organised collection of sourced context ready for AI system development

Prioritised AI Roadmap

Clear direction showing which opportunities to pursue, in what order, and why

Readiness Assessment

View of your organisation’s capability to execute on identified opportunities

Team Capability Building

Your teams understand how to evaluate and pursue AI opportunities independently

Engagement Approach

We work on a timeboxed retainer basis - you retain a percentage of our capacity, typically through quarterly or half-yearly discovery events.

Low-Friction Access

No hourly billing, no change orders. You get strategic capacity and continuous access to expert collaboration.

Risk Reversal

If you’re not satisfied with our work, we refund you. No questions asked.

Adaptive Scope

We adapt continuously based on what you discover. No fixed deliverables fighting against reality.

Scales to Your Size

Works for small organisations without overhead, large organisations without bureaucracy.

Who This Is For

This capability suits organisations that:

See AI everywhere but struggle to see where it creates value for you
Want disciplined AI adoption, not experimentation for its own sake
Need to align technical teams and business stakeholders on AI direction
Prefer evidence-based decisions over vendor promises
Have delivery constraints and limited capacity for mistakes

Start with the problems that matter. Tell us what you’re trying to change and explore how problem-first AI discovery can create clarity and direction for your organisation. Ask about AI discovery

Our Happy Clients

We partner with businesses across diverse industries, including finance, insurance, healthcare, pharmaceuticals, technology, engineering, transportation, hospitality, entertainment, legal, government, and military sectors.

NIT A/S