{{first_name | Hi}}, your strategic AI update is here.

Companies are spending billions to hand out AI tools and still don't know what to do next, executives told Axios. Baldwin Group and Disney are going the other way, changing how the work gets done. I'd pick one function and rebuild it with the planners who run it. BCG puts that gain at 30% to 50%, against 10% to 15% of time saved with a copilot.

Innovation Snapshot

"Where there is no standard, there can be no kaizen."

— Taiichi Ohno, father of the Toyota Production System

In today's lineup

Robots

  • Copilots won't pay down your Workflow Debt

  • Real ROI from Gen AI

  • Teach agents what your experts would accept

People

  • Ben Duffield keeps veteran operator know-how inside the plant

Love

  • Turn your best planner's instinct into rules

  • The Machine That Changed the World

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

Copilots won't pay down your Workflow Debt

A copilot saves engineers and planners 10% to 15% of their time. Reshaping a whole function around AI lifts its efficiency and effectiveness by 30% to 50%, BCG estimates in a new report on industrial companies, where the AI leaders grew revenue more than twice as fast as laggards.

“It’s the difference between using AI to save time and using AI to change the economics of the business,” says BCG’s Carsten Schaetzberger. Source: BCG.

Most are still handing out tools. Almost 70% of US industrial companies that adopt AI change nothing about their organization, data or processes, Census data in the report shows, and much of their know-how sits with senior managers rather than in documents.

Start with one function, such as production planning or aftermarket service, and redesign it with the planners who run it, keeping its rules in a layer you own rather than inside one model. The agent advises first, then acts with approval, and earns wider limits only while the numbers hold against a baseline Finance signs.

The leadership pulse

Real ROI from Gen AI

How human-centric AI delivers business results

“We’re not trying to replace engineers,” says Stephen White, pipeline project engineering manager at TC Energy.

Tool Spotlight

Your weekly briefing on tools that create competitive leverage

Teach agents what your experts would accept

Crux Labs learns how your experts judge an agent's work, checks all live traffic against that standard and opens a code fix when the agent slips. It emerged from stealth with more than $6 million recently, and its CEO says agents lack "the years of heuristics" people carry in their heads. Ideal for Chief AI Officers deciding how much room each agent has earned.

Rainbird turns policies and expert interviews into versioned rules that agents call over MCP, with the evidence behind every answer. You own the rules and can host them in your own cloud. Right for CIOs in banking and insurance who must show a regulator why each decision was made.

Also worth a look

  • Interloom builds a context graph from tickets and inboxes, so agents learn how past cases were solved.

  • For freight and factory teams, Evos learns from each approval and correction.

  • Uvi maps who may decide what, for any model your company approves.

PEOPLE 👥

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

Transformation Champion

Ben Duffield keeps veteran operator know-how inside the plant

“What they’ve learned over lifetimes shouldn’t disappear when they retire,” Duffield and co-founder Mark Elliot wrote of veteran operators when Lumaril launched. Photo: Lumaril.

Ben Duffield helped create Palantir Foundry. With Lumaril, which he co-founded, he is working on knowledge that rarely gets written down: how veteran plant operators adjust hundreds of interlinked settings by feel. Lumaril's AI plugs into the controls a plant already has and learns from its best operators. The company raised a $66M Series A recently, and it gets paid on the throughput and yield it adds.

LOVE ❤️

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

Turn your best planner's instinct into rules

In 1985, Matsushita's engineers couldn't get a new bread machine to knead properly, even after comparing X-rays of its dough with a baker's. Software developer Ikuko Tanaka trained with the head baker at the Osaka International Hotel and noticed his distinctive way of stretching the dough, so engineers added ribs inside the machine to copy it.

The first model, the National ST-BT2, went on sale in Japan in 1987 and sold about 760,000 units in a year. Photo: Impress Kaden Watch.

Your plant has its own head baker. Write their rules down with them before an agent touches their work, then test those rules on last quarter's decisions.

Transformative Reads

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

NUMMI, the GM-Toyota plant in California, ran in an old GM factory with mostly former GM workers and still came close to Toyota's own quality. James Womack, Daniel Jones and Daniel Roos explain why in The Machine That Changed the World: across car plants worldwide, automation explained only part of the productivity gap, and how the work was organized explained much of the rest. Worth an evening if most of your AI budget goes on seats.

In Culture

Almost 70% of US industrial companies adopting AI follow the red dress.

THANK YOU!

Lighthouse takes us many hours to create, and we don’t run ads or charge anything. We are dedicated to making it the best AI transformation newsletter possible.

We just ask for one thing: tell one friend about Lighthouse today!

Want daily AI & Innovation insights? Connect with me on LinkedIn or X.

Got suggestions? Just reply to this email!

Much Love,
Matt and the Future Works team

Reply

Avatar

or to participate