The blueprint for tripling AI success

Why 93% of companies fail to scale AI, Google's CEO on the non-technical developer, and the new economic reality of Gen AI.

Hi, your strategic AI update is here.

This week, the AI conversation shifted from innovation to infrastructure. As economic realities set in and supply chains crack, the barrier to scale is clear: it’s not the tech, but the broken workflows underneath. The mandate is no longer to adopt new tools but to fix the foundation, because redesigning core systems is what triples the chance of success.

In today's lineup: 

Robots

  • Redesigning workflows triples the chance of scaling

  • Real ROI from Gen AI

  • Celonis or UiPath for process intelligence

People

  • Venkat Viswanathan is cracking the battery code with AI

Love

  • Escape the incremental trap

  • Transformative Reads: Team of Teams

Reading time: 3 min. 

ROBOTS 🤖

How are robotics and AI changing industries? We break down the latest news, tools, and innovations for you.

Top Insights

Redesigning workflows triples the chance of scaling

McKinsey’s latest report reveals a staggering 66% of organizations have not begun scaling AI enterprise-wide. While 88% of companies actively use AI tools, only 7% have achieved full scale. This data exposes a critical operational gap where companies overlay new models on broken workflows instead of redesigning them.

What leaders can do

  • Force a ninety day pilot to production deadline

  • Federate domain specific teams into business units

  • Redesign core workflows before deploying agents

  • Replace vanity metrics with time to value KPIs 

Ready to redesign your workflows for the AI era? Let's connect and build your roadmap to scale.

Real ROI from Gen AI

How human-centric AI delivers business results

  • Motorway uses Google’s Gemini to automate vehicle document verification, achieving 94.7% accuracy and reducing the time to launch new AI models from months to days.

  • Orion Health leverages AWS Bedrock to power a clinical intelligence chatbot that saves 50 staff hours per day and retrieves answers from 500,000 records in seconds.

  • Wiley employs Salesforce Agentforce to manage service spikes, achieving a 213% ROI and boosting case resolution efficiency by over 40% during peak seasons.

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Tool Spotlight

Your weekly briefing on tools that create competitive leverage

Celonis or UiPath for process intelligence

Best for: Diagnosing and fixing hidden process inefficiencies in real-time. Choose if you need to…

  • Pinpoint bottlenecks in core systems like SAP and Oracle.

  • Benchmark processes to find cash-flow opportunities.

  • Automate compliance checks and instantly correct deviations.

Best for: Discovering and executing high-ROI automation opportunities. Choose if you need to…

  • Connect process analysis directly to RPA bot deployment.

  • Build a data-driven business case to justify automation spend.

  • Standardize on UiPath for enterprise-wide automation.

3 more platforms to explore...

  • SAP Signavio: A powerful choice for businesses deeply integrated with SAP.

  • Appian: Combines process mining with low-code app development.

  • IBM Process Mining: Offers robust process analysis within the IBM cloud ecosystem.

PEOPLE 👥

Meet the innovators turning bold ideas into real-world impact.

Transformation Champion

How Venkat Viswanathan is cracking the battery code with AI

The dream of electric flight has been grounded by a single, immense obstacle: batteries are too heavy and don’t last. Dr. Venkat Viswanathan of Carnegie Mellon University is tackling this by teaching AI to be a master chemist. His lab pioneers machine learning models that can rapidly discover and vet novel battery materials, predicting their performance before costly synthesis. This AI-driven approach is slashing the time it takes to develop the powerful, lightweight batteries needed for electric planes, accelerating a breakthrough for sustainable aviation and proving that the biggest hardware challenges often have a software solution.

LOVE ❤️

Practical wisdom, growth tactics, and a must-read book that will challenge the way you think.

Escape the incremental trap

Optimizing an existing system delivers diminishing returns. This path traps us in incrementalism, polishing a process someone else will soon make obsolete. To win, you must design a new, fundamentally superior operating model.

Three shifts to find your breakthrough:

  1. Define the "job to be done." Obsess over the customer's ultimate goal, not your current tool.

  2. Find the "rate-limiting step." Isolate the single bottleneck that unlocks the entire system.

  3. Apply a "10x lens." Force brainstorms for solutions ten times better to shatter old assumptions.

I break down how to build your new operating model in my book, 100x.

Transformative Reads

One book, handpicked from my conversations with friends, industry leaders, and tech innovators:

Team of Teams argues that traditional, siloed command structures are dangerously slow in today's complex world. McChrystal shares hard-won lessons on transforming a rigid hierarchy into an agile and resilient network of interconnected teams. The core insight is building "shared consciousness" through radical transparency and empowering decentralized decision-making. This allows the organization to adapt and execute with speed.

Perfect for: Ops and tech leaders tasked with breaking down silos and building a faster, more adaptive organization.

In Culture

Nano Banana Pro was released, and now we know what a multi-trillion dollar boys' night out looks like...

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Much Love,
Matt and the Future Works team

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