The AI Labs Just Confirmed What Small Business Owners Already Know: Implementation Is Everything
By Warren Schuitema, Founder | Matchless Marketing | The AI Dad
The smartest money in tech just placed a $1.5 billion bet on something I've been saying for two years: having access to a great AI model is not the hard part. Knowing what to do with it is.
A company called Ode with Anthropic launched this week. It's a $1.5 billion AI implementation company that Anthropic stood up as a joint venture with Blackstone, Hellman & Friedman, Goldman Sachs, and others. Anthropic and OpenAI have now both spun up separate businesses dedicated to deploying AI engineers directly to customers' offices, a bet that helping businesses figure out how to actually use these models is the next trillion-dollar category.
Read that again. Trillion dollars. Not in building better models. In showing people how to use them.
That should tell you something.
What Ode Actually Does (and Why It Exists)
Ode was originally conceived by Blackstone, which noticed a gap when it had roped in large consulting firms and small AI services boutiques to implement AI across its portfolio companies. One boutique kept outperforming the others. That boutique, AI engineering services startup Fractional AI, stood out, and the joint venture acquired it shortly after being announced.
Ode currently employs 100 engineers and works closely with Anthropic's applied AI team to identify where the technology can have an impact on different businesses, then creates systems tailored to each organization's operations.
This isn't a consulting firm in the traditional sense. A forward-deployed engineer embeds directly inside a customer organization, takes ownership of a real business problem, and builds the AI system that solves it from architecture through deployment to measured business impact, unlike a traditional consultant who scopes, time-boxes, and hands the work back.
That distinction matters. The old model was: we'll advise you and leave you to figure it out. The new model is: we'll stay until it works.
For Ode, an ideal customer is one whose CEO buys into the promise. "A lot of the work that we're doing is the top one or two priority for the CEO of the company," said Chris Taylor, Ode's CEO. "It's the most important product feature the company is going to build over the next two years, or it's reworking the most important business process they have."
The Insight That Matters Most for Small Business Owners
Here's the line from Ode's chief technologist Eddie Siegel that I want you to sit with:
"The secret sauce is the quality of implementation, and the ability to build custom solutions for business problems. Model selection matters, but it's not where the majority of calories are spent. It's one ingredient in a system that has to be engineered."
One ingredient in a system that has to be engineered. That's it. That's the whole argument.
Every week I talk to small business owners who are stuck on the wrong question. They want to know which AI tool is best. Claude or ChatGPT? GPT-4o or Gemini? And I get it, the marketing around these models is loud and the comparisons are everywhere.
But the model choice is the Python vs. Java decision. It rarely determines whether your project succeeds. What determines it is whether you've actually mapped your business process, built a workflow around the tool, and iterated until the output is useful. That's the work. And it's the work most people skip.
Executives at the companies backing Ode say the effort is designed to tackle a growing bottleneck in the AI boom: the scarcity of experts capable of implementing the technology inside real-world operations. "There's a big shortage of people who know how to apply these tools into businesses and then transform them," said Marc Nachmann, Goldman's global head of asset and wealth management.
That shortage is real at the enterprise level. But it's just as real at yours.
What This Looks Like at the Small Business Level
Ode is built for mid-size and enterprise companies. They're not coming to help you set up your ChatGPT account. But the problem they're solving is exactly the same problem you're dealing with, just at a different scale.
You've got access to Claude. You've got access to ChatGPT. You might have n8n running. You might be in Notion every day. The tools aren't the gap. The gap is: what process are you actually trying to run, and how do you wire the tool into it so it produces something useful without you babysitting it every time?
Anthropic's own data shows where the value hides: in a sample of 1.2 million sessions, business process work made up 33.4% of AI use while software development took just 8.7%. That is the work most companies cannot describe well enough for a model to fix on its own.
Business process work. That's client onboarding. That's lead follow-up. That's weekly reporting. That's drafting proposals. That's the stuff that chews up hours every week and that you probably haven't thought to systematize because you've always just done it yourself.
The big players are now paying $1.5 billion to help enterprises do that systematization. You can start doing it today for free.
Your One Concrete Move Right Now
Pick one repeating task in your business. Something you do every week, ideally something that involves writing, summarizing, or sorting information. Don't pick your hardest problem. Pick the one that's most predictable.
Write down the five steps you actually take to complete it. Just the steps, in plain language. Then open Claude or ChatGPT and describe the task the way you'd describe it to a smart assistant who'd never seen your business before. Give them your five steps. Tell them what a good output looks like. Ask them to complete step one.
That's implementation. It's not glamorous. It doesn't require a $1.5 billion joint venture. But it's the same work Ode is charging enterprise fees to do, and you can run the exact same playbook inside your own operation starting this week.
As Anthropic's Head of Forward Deployed Engineering put it: "As mid-size companies move from experimenting with AI to building it into their operations, they need partners with real implementation depth and a clear understanding of how their businesses actually work."
Real implementation depth. Clear understanding of how your business actually works. That's the standard. Not which model you're subscribed to.
The labs just put $1.5 billion behind the idea that knowing how to use the tool beats having the best tool. Now you know it too. Go build something.