​
The Business Landscape Has Changed Forever

2025 marks a watershed moment: AI isn’t coming—it’s here, and it’s fundamentally restructuring how all businesses operate, even if the outputs can be lackluster.

The Existential Question

Every business—whether B2B service, marketplace, or consumer brand—now faces the same question: Do we compete on manual labor or intelligent systems?

The Economic Reality

The traditional model—scaling linearly with headcount—is becoming economically untenable. Stakeholders are questioning costs, having seen what AI can accomplish.

​
What’s Actually Happening

Customers with ChatGPT can now do in minutes what teams used to do in days. They’re questioning why they should pay premium prices for work an LLM can approximate for pennies. And they’re not wrong to ask.
The businesses that will thrive won’t be the ones that compete with AI. They’ll be the ones that build intelligent systems around their operations, turning their processes into scalable automation that delivers consistent value at marginal cost. ## The Reality Check Let’s be honest about how teams spend their time:

Information Gathering

30% of time - Collecting data from multiple sources, compiling research, building context

Processing & Analysis

25% of time - Turning raw information into insights, identifying patterns, drawing conclusions

Production & Formatting

20% of time - Creating deliverables, formatting reports, building presentations

Communication Overhead

15% of time - Status updates, meeting notes, email drafts, project management
If you’ll believe the marketing hype, LLMs can now handle 70-80% of the rest, often better than humans. Whether or not true, the market is choosing to believe it.
This distribution hasn’t changed in 20 years. What has changed is that LLMs can now handle most of this work—and often do it better than humans. They don’t get tired. They don’t miss patterns. They don’t forget to check something. The businesses still operating like it’s 2019 are about to learn a harsh lesson: The market won’t pay premium prices for commodity work that AI can do. But the companies building intelligent systems around their operations? They’re about to experience unprecedented growth.

​
Why I’m Building Tools. Productization isn’t about building software products.

It’s about recognizing that your true value isn’t in the hours you bill—it’s in the intelligence, methodologies, and frameworks you’ve developed. And in 2025, those assets need to be encoded into systems, not trapped in people’s heads. I learned this the hard way. My expertise spans the intersection of product, marketing, and engineering—I know how to build automated revenue systems using code. But explaining this value to clients who think “AI can do it cheaper” became exhausting. So I started building tools instead. The calculators, widgets, and embeds you see throughout this documentation? They’re proof points. They demonstrate expertise in ways that can’t be replicated by someone with ChatGPT. Consider what’s happening right now:
1

Your competition isn't other businesses

It’s every competitor with access to Claude, ChatGPT, or Gemini. They’re already using AI to automate work that used to require teams. The question isn’t whether they’ll replace more manual work with AI—it’s how fast it will happen.
2

Your methodologies are your moat

That proprietary framework you’ve refined over years? The unique approach to solving client problems? Those are valuable. But if they only exist in Google Docs and your collective knowledge, they’re not defensible. Anyone can copy a process. No one can copy a system.
3

Your market wants outcomes, not effort

Linear scaling is dying because the market has realized they were never buying effort—they were buying results. Automated systems deliver predictable outcomes at predictable costs. That’s what the market actually wants.
4

Differentiation requires demonstration

You can’t just claim expertise anymore—you need to show it through tools that deliver immediate value. When prospects can use your calculator or assessment tool, they experience your expertise before they buy.

​
How LLMs Enable True Automation Previous attempts at business automation failed

because they could only handle the simple stuff. Templates, workflows, basic processing. The actual work—the thinking, analysis, and decision-making—still required humans. LLMs changed the game entirely. They can:
Unlike traditional automation, LLMs understand nuance. They can adapt to different client contexts, industry specifics, and unique requirements without being explicitly programmed for each scenario.
This isn’t theoretical. Companies are already using LLM-powered systems to: - Process 800+ information sources simultaneously (see our Fingers on the Pulse case study) - Generate comprehensive competitive analyses in 15 minutes instead of 2 days - Create first drafts of strategy documents that capture 80% of the final output - Automate quality checks that catch more errors than manual review

​
The Three Stages of Business Evolution

Where most businesses should start Build LLM-powered tools that make your existing team 5-10x more productive. Don’t change your business model—just operate more efficiently.
Automated research and information gathering
First-draft generation for deliverables
Intelligent quality assurance
Smart project documentation
This stage alone can double margins while improving quality and reducing burnout.

​
Real Examples from the Field

​
Why It’s Never Been a Better Time for Agencies to Productize

​
The Perfect Storm of Opportunity

Agencies are sitting on a goldmine they don’t realize they have. While everyone’s panicking about AI replacing jobs, smart agencies see the biggest opportunity in their history:

The DIY Paradox

Clients are discovering that “just GPT it” rarely delivers professional results. They need expertise to guide AI, not replace it. This creates demand for hybrid solutions that combine AI efficiency with human expertise.

The Trust Premium

As AI-generated content floods the market, trusted expertise becomes more valuable, not less. Clients will pay premiums for vetted, proven systems over raw AI output.

The Integration Gap

Most businesses can’t effectively integrate AI into their workflows. They need packaged solutions that work out of the box—exactly what productized services deliver.

The Quality Arbitrage

There’s a massive gap between what raw AI produces and what professionals deliver. Productized services capture this delta at scale.

​
Turning “Just GPT It” Into Your Advantage

The DIY AI trend isn’t your enemy—it’s your best marketing tool. Here’s how to leverage it:
Let prospects try the DIY approach first. When they realize ChatGPT can’t deliver professional results, they come to you pre-qualified and ready to pay for expertise.Strategy: Create free tools that demonstrate the difference between raw AI and your expertise. Show them what “good” looks like.

​
Why Agencies Have the Upper Hand

​
The Agency Productization Playbook

1

Start with Your Greatest Hits

Identify the work you do repeatedly across clients. The proposals you’ve written 100 times. The audits you could do in your sleep. The strategies that always work. These are your first products.
2

Build While You Bill

Don’t stop client work to build products. Instead, systematize as you deliver. Create templates during projects. Build tools for specific clients, then genericize them. Let client work fund product development.
3

Create the Comparison

Build tools that show the difference between DIY and professional. A free audit tool that identifies problems. A calculator that shows potential ROI. Let prospects self-diagnose, then offer the cure.
4

Layer Your Offerings

  • Level 1: Free tools that demonstrate expertise (lead generation)
  • Level 2: Self-service products for small budgets ($97-497/month)
  • Level 3: Guided implementation for growing companies ($1-5K/month)
  • Level 4: Full service for enterprises ($10K+/month)
5

Use AI to Multiply, Not Replace

Don’t position your tools as “AI replacements” for your services. Position them as “AI-powered multipliers” of your expertise. Clients get your methodology, powered by AI, guided by your experience.

​
Real Agency Transformation Examples

SEO Agency → AI Content Platform

Turned their content optimization process into an AI-powered platform. Now serves 100x more clients at 70% margins. Original clients pay more for the platform than they did for services.

Design Agency → Brand System Generator

Encoded their brand development methodology into AI tools. Delivers brand guidelines in hours instead of weeks. Freed team to focus on high-value creative work.

Marketing Agency → Campaign Automation

Built AI system around their campaign framework. Clients get consistent quality at scale. Agency handles 5x volume with same team.

Dev Shop → Code Generation Platform

Productized their development patterns into AI-assisted tools. Junior devs now produce senior-level code. Margins increased 300%.

​
The “Just GPT It” Judo Move

Here’s the counterintuitive strategy that’s working for smart agencies:
Embrace the DIY trend, don’t fight it. Show clients exactly how to use ChatGPT for your type of work. Be completely transparent about prompts, processes, and approaches.
Why this works:
  1. It builds massive trust - You’re not hiding anything
  2. It qualifies prospects - They quickly realize the skill gap
  3. It positions you as the expert - You’re teaching them, establishing authority
  4. It creates urgency - They see what’s possible but realize they need help
  5. It justifies your pricing - They understand the expertise involved
Create a “DIY Toolkit” with your best ChatGPT prompts, templates, and workflows. Give it away free. Watch as 10% successfully DIY (and become evangelists) while 90% realize they need your productized solution.

​
The Agency Advantage in the AI Era

Agencies have three critical advantages that pure software companies will never have:
You understand industry nuances that no LLM can fully grasp. Your productized tools encode this expertise, delivering results that generic AI never could.

​
The Time Is Now

The window for agency productization is wide open, but it won’t stay that way:
Timing matters: The agencies that productize now will own their categories. Wait 18 months and you’ll be competing with established platforms that have already captured the market.

Today

  • Clients still value expertise
  • AI tools are good but not great
  • Market is experimenting
  • First-mover advantage available

12 Months

  • Early movers dominate categories
  • AI quality improves dramatically
  • Clients expect hybrid solutions
  • Pure services struggle to compete

24 Months

  • Market winners established
  • AI-native becomes standard
  • Service-only agencies extinct
  • Platform plays dominate
The agencies that act now—that turn their expertise into scalable products while leveraging the DIY trend—will thrive. The ones that wait will wonder what happened.

​
Why Service Providers Struggle with This Transition ### The Expertise Paradox

Your best people—the ones who really understand your methodologies—are too busy delivering client work to build systems. Meanwhile, developers don’t understand the nuances of your approach well enough to encode it properly. You need builders who understand both service delivery and AI capabilities. I face this myself at WithSeismic. The deep expertise that lets me build automated revenue systems is the same expertise I need to encode into tools. But every hour building tools is an hour not billing clients. The solution? Build incrementally, starting with the smallest valuable piece. ### The Investment Dilemma Every hour spent on internal tools is an hour not spent on immediate revenue. In the short term, automation looks like a cost center. But this is like saying “we’re too busy rowing to fix the sail.” The businesses that make this investment now will dominate the next decade. ### The Culture Challenge Many professionals see AI as a threat to their livelihood. They’re not wrong if they keep operating the old way. But in an automated model, AI makes their work more valuable, not less. They stop doing grunt work and start doing the high-value activities that actually drive growth. The shift requires embracing a new reality: You’re not scaling with headcount, you’re scaling with systems. You’re not just operating a business, you’re building intelligent automation that multiplies your impact. ### The Technical Gap Most companies don’t have the technical capabilities to build LLM-powered systems. They can barely maintain their existing tech stack, let alone build intelligent automation. This is why partnerships with specialized builders (like WithSeismic) make sense—you need expertise you don’t have and can’t afford to develop internally. ## The Path Forward: Start Where You Are
The 80/20 rule of productization: 80% of the value comes from automating 20% of your processes. You don’t need to automate everything—just the stuff that actually wastes time.
You don’t need to transform overnight. Start with one painful, repetitive process that everyone hates. Build a tool that automates it. Use it internally. Refine it based on real usage. Then expand. ### The 8-Week Roadmap
1

Week 1-2: Discovery

Identify and map the most painful repetitive process. Interview your team. Document the current workflow. Calculate time spent.
2

Week 3-4: Build MVP

Build a basic automation that handles 80% of cases. Don’t aim for perfection. Focus on the happy path.
3

Week 5-6: Add Intelligence

Refine based on actual usage. Add LLM capabilities. Handle edge cases. Improve the UI.
4

Week 7-8: Deploy Internally

Package for internal deployment. Train your team. Document the process. Gather feedback.
5

Month 3-4: Scale

Consider external productization once internally proven. Add payment processing. Build marketing site.
This incremental approach de-risks the investment and shows immediate ROI.

​
The Competitive Reality

Time is running out: The window to transform your business is closing. Every month you wait, AI-native competitors gain ground.
Let’s be crystal clear about what’s happening:

Everyone Using AI

Competitors, customers, and partners are experimenting with ChatGPT, Claude, and Gemini. They’re discovering what used to require teams can be automated. This will accelerate.

AI-Native Competition

Starting with 10x productivity advantages because they built on AI from day one. They undercut your prices while maintaining higher margins.

Death of Linear Scaling

Markets reject cost structures that scale with headcount when AI can do in minutes what teams take hours for. Competitive pricing requires automation.

Talent Expectations

The best people won’t join companies doing repetitive work. They want strategic, creative work. Can’t offer that? Can’t attract talent.

​
The Questions That Matter

​
The Choice Is Yours The professional services landscape has bifurcated. There

are two paths:

Path 1: The Slow Decline

  • Keep operating like it’s 2019 - Bill hours for work AI can do - Watch clients leave for AI tools - Compete on price in a race to the bottom - Hope things somehow work out

Path 2: The Transformation

  • Build intelligent systems around expertise - Turn methodologies into scalable products - Create a portfolio approach - Let AI handle the grunt work - Compete on unique value, not time
The professionals choosing Path 2 aren’t just surviving—they’re experiencing unprecedented growth. They’re serving more clients, delivering better results, and building valuable IP assets. Most importantly, they’re energized instead of burned out. For me, this means offering both: High-ticket consulting for complex automated revenue systems that require deep expertise, and a growing suite of tools that demonstrate that expertise while serving clients who can’t afford the full engagement. The tools become both lead generation and revenue diversification. The technology exists. The playbook is proven. The only question is whether you’ll act before it’s too late.

Start Building Your Future

Ready to transform your operations? We’ll analyze your most repetitive workflow and show you exactly how to automate it with LLMs.