Hot Topic

08/08Common Blocker

AI Without Strategy

Tools Without a Plan

You're Experimenting with AI but Getting Nowhere.

Everyone's excited about AI. You've run pilots, bought tools, maybe even hired a team. But months later, nothing's in production. Experiments don't scale. Nobody knows what to work on. The C-suite asks for an AI strategy and gets PowerPoints instead of results. Meanwhile, competitors are actually shipping.

Show Me the Fix Sound Familiar?

Does This Sound Like You?

Multiple AI pilots, none in production
No clear roadmap for which use cases to pursue
Teams lack skills to build and maintain AI solutions
Governance unclear, legal, ethical, and risk questions unanswered

Keep reading

The Symptoms

You're Not Imagining It

If any of these sound familiar, you've found the right place.

Multiple AI pilots, none in production

No clear roadmap for which use cases to pursue

Teams lack skills to build and maintain AI solutions

Governance unclear, legal, ethical, and risk questions unanswered

AI initiatives disconnected from core business strategy

Technical debt and legacy systems block AI integration

Root Cause

Why AI Initiatives Stall

AI is a capability, not a strategy. Many organizations chase AI because competitors are doing it, without clarity on what problems AI should solve. Technology looking for a problem, rather than problems finding solutions.

The skills gap is real. Building production AI systems requires skills most organizations don't have, and can't easily hire. Data engineering, ML ops, responsible AI practices. Pilots don't need these; production does.

Legacy systems weren't built for AI. Your data is scattered, dirty, and locked in silos. Your infrastructure can't support real-time inference. Modernization isn't glamorous, but it's prerequisite.

The Data

This Is Common

87%

of AI projects never make it to productionSource: Gartner

74%

of companies struggle to move AI from pilot to scaleSource: MIT Sloan

2.5x

higher failure rate for AI initiatives without clear strategySource: McKinsey

The Solution

AI Projects That Actually Ship

Stop experimenting forever. Get AI into production where it creates real business value.

AI projects that reach production (not just demos)

Clear plan for which AI use cases to pursue first

Teams that can build and run AI systems long-term

Legal and ethical guardrails so you don't get burned

Our Approach

How We Create AI Strategy That Works

We connect AI capabilities to business outcomes and build the path from experiment to production.

Start with Business Problems

What problems actually need solving? We work backward from business outcomes to AI capabilities, not forward from cool technology to vague applications.

Result: Clear use cases tied to business value

Assess Readiness Honestly

We evaluate your data, infrastructure, skills, and governance. What's really needed to go from pilot to production? No sugarcoating, just clear-eyed assessment.

Result: Honest picture of what needs to change

Build the Foundation

We help address prerequisites: data quality, infrastructure readiness, team capabilities, governance frameworks. The unglamorous work that makes AI possible.

Result: Infrastructure and capabilities for production AI

Execute with Discipline

We apply agile principles to AI development: small experiments, fast feedback, incremental delivery. Ship value early, learn constantly, scale what works.

Result: AI solutions that reach production and deliver value

Results

What Happens When AI Has a Strategy

Pilots become products

AI initiatives move from experiment to production because the path was planned. Real value, not just demos.

Investment pays off

Clear ROI from AI initiatives because they're tied to measurable business outcomes. Value that executives can see.

Teams build capability

Internal skills develop alongside initiatives. You build lasting AI capability, not consultant dependency.

You don't get blindsided

Clear policies for data privacy, bias, and compliance. You know the risks upfront and have guardrails in place.

We've Solved This Before

See How We Fixed It

Real organizations that overcame this challenge with our help.

Success Story

Aviation / Marketing

Southwest Marketing

An 8-person pilot team used design sprints to optimize Southwest's billion-visitor booking website, achieving a 61% test success rate and generating millions in additional annual revenue.

A fintech company serving credit unions and regional banks reduced release cycles from 3-6 months to 2 weeks through comprehensive Agile transformation.