Muddling Through AI Is Not a Strategy. Here Is What Is.

The Honest Word That Most Leaders Are Afraid to Use

Most business leaders will tell you they are working on Artificial Intelligence. They are exploring it. Evaluating it. Running a pilot. Watching the space. What very few will say out loud — until they are sitting in a room full of peers who feel exactly the same way — is that they are muddling through it. That the AI tools are being used by a handful of employees with no policy, no framework, and no clear owner. That the strategy, to the extent one exists, is informal at best. That the gap between where the company is and where it needs to be feels wider every month.

Muddling through is not a failure of ambition. It is what happens in a market moving faster than organizational infrastructure can keep pace with. It is what happens when AI literacy is distributed unevenly across a team, when governance frameworks do not exist yet, when the tools are evolving faster than the adoption models. And it is, without question, the most honest description of where most mid-market companies currently stand on AI — including a significant number of the leaders who gathered in Lake Oswego, Oregon on April 16, 2026 for a GPS Summit workshop that produced a 4.67 out of 5 for Quality of Content, a perfect 5 out of 5 for Delivery, a perfect 5 out of 5 for Applicability, and a 100 percent recommendation rate.

The feedback from that session was some of the most candid and specific in the GPS Summit series. And it points directly to the path from muddling through to moving forward.

What Ten Oregon Leaders Revealed About AI in the Pacific Northwest

The Lake Oswego session brought together ten leaders from landscaping, engineering and consulting, insurance, electrical and industrial automation, electronics manufacturing, construction, print management, wholesale flooring, and technology. All but one company was in the 1 to 50 employee range — a room of small business owners and operators who are making every AI decision personally, often without dedicated technical staff, and always with the full weight of their company's future riding on whether they get it right.

The survey data from these ten leaders tells a story that is both familiar from previous GPS Summit sessions and notable for its specificity:

• 90% had no formal KPI accountability for AI outcomes. 60 percent had no KPIs whatsoever, and another 30 percent were tracking results occasionally with no named owner. Only one company in the room had a clear AI use case with a dedicated KPI, a named owner, and a regular review cadence.

• 80% had no effective AI safety governance. 40 percent had zero protections in place, and another 40 percent were relying on informal habits with no consistent enforcement — meaning eight in ten organizations in the room had no enforceable standards for how their teams use AI tools or what data flows through them.

• 70% had scattered or siloed data with no readiness for an AI pilot. Seven of ten companies described their data as disorganized, disconnected, or accessible only in fragmented exports — the infrastructure gap that consistently sits beneath every other AI adoption challenge.

• 60% named talent and skills gaps as their biggest blocker. The dominant answer across the GPS Summit series continues to show up in Lake Oswego: the tools are available, the use cases are clear, but the people equipped to deploy and own them are not yet in place.

• 70% named revenue growth as their primary AI outcome. Seven of ten leaders came in focused on the same north star — and 60 percent also indicated they want to learn more about developing an internal AI leader to get them there. That combination is unusually direct: they know what they want, and they know they need someone to lead them to it.

AI confidence averaged 7.4 out of 10, ranging from 3 to 10. Half the group scored themselves at an 8 or higher. But even the most confident leaders acknowledged their governance gaps, and the leader at a 3 was not less capable than the ones at a 10 — they were simply further from having the organizational infrastructure that converts AI ambition into AI results.

"Eye opening experience. We are muddling through AI integration with myself and a few of my employees really using. We are ripe for this integration in flow processing and cultural enhancement for the company, specific disciplines, marketing, and more. As a business owner, I am feeling so far behind relative to AI integration and agent and bot employees I want to develop and manage. I will be contacting the team in the future so we can develop the right framework to implement the right systems." — Lake Oswego Workshop Attendee, April 16, 2026

This comment is one of the most complete and instructive pieces of feedback in the entire GPS Summit series. In a single paragraph, this leader describes the current state — muddling through, informal and uncoordinated usage — names the potential they can see — flow processing, culture, marketing, AI agents — acknowledges the emotional reality of feeling behind, and declares their intent to build the right framework with the right support. That arc — from honest assessment to clear aspiration to a decision to act — is the arc that separates companies that eventually build AI capability from companies that stay in the muddle indefinitely.

What Moving From Muddling to Moving Actually Requires

The Lake Oswego session is a useful lens for understanding the specific organizational conditions that keep capable companies muddling through AI rather than advancing through it — and for identifying what the concrete, practical path forward actually looks like.

When the Eager Technician Is Already in the Room

"I have a very eager AI-smart technician that I want to work together with to bring the firm up to AI utilization to experience modernization, revenue growth, improved workflows, and improved company culture and sustainability." — Chris R., Red Plains Professional, Inc.

Chris's comment from his engineering and consulting firm points to something that appears more often than most leaders realize: the AI leader they need may already be inside their organization. An eager technician with strong AI instincts and an authentic desire to drive the firm's modernization is not a project resource waiting for an assignment. That person is a strategic asset waiting for a mandate, a framework, and the organizational authority to actually build something.

The challenge is not identifying this person. Chris has already done that. The challenge is equipping them — giving them the AI Strategy frameworks, the Business Growth context, the governance tools, and the peer accountability structure that converts raw enthusiasm and technical aptitude into real organizational impact. A motivated technician without a strategic framework will build clever solutions to the wrong problems. A motivated technician who has been through the GPS Summit will build the right solutions to the right problems, with measurable outcomes tied to the revenue growth and operational modernization goals Chris described.

AI Agents: The Next Capability Most Small Businesses Are Not Ready For

The Lake Oswego leader who described wanting to develop and manage AI agent and bot employees was pointing at one of the most significant capability shifts currently available to small and mid-market businesses. AI agents — autonomous systems that can execute multi-step tasks, make decisions within defined parameters, and complete work without continuous human intervention — are no longer a large enterprise technology. They are deployable by any company with the right internal expertise to configure, govern, and manage them.

For small businesses where headcount is constrained and every team member carries a heavy load, AI agents represent a structural capacity expansion that was not available two years ago. An agent that handles customer inquiry qualification and routing, another that manages appointment scheduling and follow-up communication, another that generates first drafts of proposals and quotes — each of these represents genuine capacity added to the organization without a corresponding payroll increase. And because agents operate within governance frameworks that the human leader sets, they amplify the team's capability without reducing the quality of the Customer Experience or the oversight that clients expect.

But developing, deploying, and managing AI agents requires a specific kind of organizational knowledge — one that sits at the intersection of AI Strategy, workflow design, governance, and business process understanding. This is not a task for a general technology vendor. It is a task for an internal AI Leader who has been developed with the full stack of skills required to make agents work reliably inside a real business environment. The GPS Summit builds exactly that person.

Marketing Is Where Small Businesses Feel AI's Impact First

"Best speaker that I have experienced with a CEO advisory group in the past 18 months. Actionable information and tools. I will make significant strategic changes in our marketing plan based on this presentation." — Lake Oswego Workshop Attendee, April 16, 2026

This response — committing to significant strategic changes in their marketing plan as a direct result of the session — is one of the most concrete and actionable pieces of feedback in the series. And it speaks to something important about where small businesses in industries like insurance, landscaping, flooring, and construction feel the AI opportunity most immediately: in their marketing engine.

AI in Marketing for small businesses is not the complex, data-science-heavy discipline it appears to be for large enterprises. It is practical and accessible: AI that generates content at scale, personalizes outreach based on customer behavior, identifies which prospects are most likely to convert, automates follow-up sequences that would otherwise fall through the cracks, and optimizes ad spend in real time based on performance data. For a small business owner who is also the chief marketer, the chief sales person, and the chief operations officer, this level of AI-driven Customer Engagement is not a luxury. It is a genuine competitive advantage that compresses the time-to-impact on every marketing investment.

Customer Insights generated by AI also change the marketing equation fundamentally. When AI is analyzing customer data to surface patterns — which segments have the highest lifetime value, which service types drive the most referrals, which touchpoints correlate with churn versus retention — marketing strategy stops being educated guessing and becomes evidence-driven decision-making. For the seven Lake Oswego leaders who named revenue growth as their primary AI goal, this capability is the most direct path from their current state to the results they are after.

Culture Is Not a Soft AI Goal. It Is a Strategic One.

The Lake Oswego leader who mentioned cultural enhancement and reinforcement as part of their AI integration goals was touching on something that rarely appears in mainstream AI conversations but matters enormously in the small business context. Culture — the set of values, behaviors, and expectations that define how a company operates internally — is one of the hardest things to build and maintain as a business grows. And AI, when deployed thoughtfully, can actively support and reinforce it.

Consider what this looks like in practice: AI-powered communication tools that ensure customer interactions consistently reflect the brand voice the owner has spent years building. Onboarding systems that embed cultural expectations into the new employee experience through personalized content and guided learning. Performance dashboards that make visible the behaviors and outcomes the culture is designed to produce. AI that helps the leader stay present with the team even as operational complexity grows. These are not AI applications that appear in technology vendor catalogs. They are AI applications that emerge when a capable internal leader who understands both the business and the technology applies them to the company's specific culture goals. That is what Digital Transformation looks like at the small business level — deeply personal, deeply specific, and deeply connected to what the owner is actually trying to build.

The GPS Summit: The Framework That Ends the Muddle

The Lake Oswego leader who said they are ripe for AI integration and wants to develop the right framework to implement the right systems is describing exactly what the GPS Summit is designed to provide. Not a generic AI curriculum. Not another overview of what the tools can do. A structured development experience that equips a specific person — your most capable high-potential leader, your eager AI-smart technician, your operationally savvy director who has been experimenting on their own — to build the framework that is right for your business, your goals, and your team.

GPS Summit participants leave equipped to:

• End the muddle with a real AI Strategy — a documented, sequenced plan that starts with the highest-value use cases, assigns ownership, establishes KPIs, and creates the accountability structure that makes AI performance as measurable as any other business function.

• Configure and manage AI agents — developing the capability to deploy autonomous AI systems that expand organizational capacity, improve Customer Engagement, and free the human team for higher-value work.

• Deploy AI in Marketing with immediate revenue impact — applying AI to content creation, prospect qualification, Customer Experience personalization, and Customer Insights generation in ways that directly drive the revenue growth goals that seven Lake Oswego leaders named as their top AI priority.

• Build governance that protects the business — establishing the AI usage policies, data access controls, and output review standards that transform informal muddling into a structured, safe, and scalable AI adoption process.

• Lead AI adoption for culture, workflows, and sustainability — applying AI Leadership not just to operational outcomes but to the organizational culture, team development, and long-term business sustainability goals that the Lake Oswego group named as part of their AI vision.

To learn more about the GPS Summit and how it serves small and mid-market businesses across every industry, visit the GPS Summit overview page or review the full competitive comparison.

Ripe for Integration — and Ready for More Than Muddling

The word ripe carries more weight than it might seem. It is not the language of a company that is behind and knows it. It is the language of a company that has been preparing — building the team, developing the instincts, accumulating the operational experience — without yet having the framework to channel that preparation into AI capability. Ripe means ready. It means the conditions are right. It means the only thing missing is the structure to harvest what is already there.

The GPS Summit is that structure. It takes the ripeness — the eager technician, the owner's vision, the team's curiosity, the operational context that is already rich with AI opportunity — and builds it into a permanent organizational capability. Not a one-time workshop energy that fades by the following Monday. A developed internal AI leader who wakes up every day with the framework, the tools, and the accountability to keep moving the company forward on AI, one strategic decision at a time.

The leader in Lake Oswego who said they will be contacting the team to develop the right framework made a decision in that room that most of their peers have not yet made. They decided that muddling through was no longer acceptable. That feeling behind was information, not a verdict. And that the path from where they are to where they want to be — agents, automation, marketing transformation, cultural enhancement — runs directly through the development of the right internal leader with the right framework.

When you are ready to stop muddling and start building, enroll your high-potential leader in the GPS Summit here. To learn more about BREATHE! Experience and the full program, visit breatheexp.com.

How different would your business look in eighteen months if the right person inside your organization stopped muddling through AI and started building with it — with a real strategy, real governance, and real accountability for results?