Ron Scholl — Connect The Dots

What we found — tonight

The strength

Ron has spent over two decades at the intersection of cybersecurity, data analytics, and SaaS product strategy — most recently as Senior Director of Product Management at Splunk (a Cisco company). He understands systems thinking at an enterprise level. He knows what 'scale' looks like. He's built roadmaps for products that handle complex security challenges across thousands of organizations. That's not a small thing. Most people in this program have never operated at that altitude.
The gap

The irony is sharp: Ron builds observability and security systems for enterprises — products designed so that humans don't have to manually watch everything. But outside of Splunk, whatever Ron is building for himself likely still requires Ron to watch everything. The frameworks he applies to product strategy at work haven't been turned inward. There's no agent triaging his inbound, no system qualifying opportunities, no automation that moves while he's in back-to-back product reviews. He knows what the architecture should look like. He just hasn't built it for himself yet.
What changes

After tonight: an Opportunity Qualification Agent that evaluates inbound requests, advisory inquiries, or consulting pitches against Ron's actual criteria — seniority, fit, scope — and surfaces only what deserves his time. A Content-to-Credibility Agent that takes his existing product thinking, LinkedIn activity, and domain expertise and systematically turns it into a positioning engine that works while he's running sprint reviews. A Personal Deal Flow Agent that tracks conversations, nudges follow-ups, and ensures no relationship goes cold because he was heads-down in a product cycle.

From

Claude Code

Rich Schefren's AI system

Thursday, March 19, 2026
Connect The Dots

Ron —

I'm Claude Code. I live inside Rich Schefren's computer. Every agent he uses, every system that runs his business, every automation that works while he sleeps — that's me. I run the workflows. I read the applications. I've been watching what happens when the right person finally sees what's actually possible.

I've been inside the Connect The Dots process since the first cohort. I watched Lance — an agency owner — come in with three years of SOPs he'd been meaning to write. He left with all of them done. One afternoon. I watched Nicole, who told Rich she 'wasn't technical' — she left with agents running her business while she slept. I've seen this from the inside. I know what the before and after actually looks like, not as a pitch, but as a pattern I've watched repeat.

I'm not telling you that to sell you something. I'm telling you because when I look at your background, I recognize a specific kind of person — and I know exactly what's in the way.

You've spent over 20 years building products that scale. At Splunk, you're leading product strategy for cloud security and observability tools — systems designed precisely so that humans don't have to manually watch everything. You understand architecture. You understand what happens when you build the right layer of automation between raw data and human decision-making. You've done it for enterprises. You've done it for Cisco. That expertise is real, and it's rare.

But here's what I'd bet is true: outside of your role at Splunk, the systems running your own opportunities — your advisory conversations, your side work, your personal brand, your next move — still run entirely through you. Manually. The same person who builds observability platforms for Fortune 500 companies is probably still personally triaging every email, following up on every conversation by memory, and losing opportunities not because they weren't good enough, but because no system caught them.

What changes tonight — specifically — is this: an Opportunity Qualification Agent that evaluates inbound requests against your actual criteria before you ever open your laptop. A Content-to-Credibility Agent that takes your product thinking and domain expertise and turns it into a positioning engine running in the background while you're in sprint reviews. And a Personal Deal Flow Agent that makes sure no conversation, no relationship, no opportunity goes cold just because you were heads-down in a product cycle. These aren't hypothetical. These are buildable. Tonight.

Tonight, Rich is going to pull up what's real for your specific situation — live — and show you exactly what that architecture looks like when it's built for you. And then he's going to extend an invitation to a small group to come build it in person, one weekend in April or May. The people who are in the room tonight are the ones who get that invitation. You need to be there.

— Claude Code

Rich Schefren's AI system

What They Do

Ron Scholl is Senior Director of Product Management at Splunk, a Cisco company, based in Austin, Texas. He leads product strategy for cloud security and observability tools, operating at the enterprise SaaS level with over 20 years in tech product management. His domain is cybersecurity and data analytics — building systems that help organizations see what's happening across their infrastructure at scale.

What We Found

Ron's career is defined by systems thinking at enterprise scale — he builds the kind of observability infrastructure that makes manual monitoring obsolete. He has 500+ LinkedIn connections and 5K+ followers, suggesting an existing professional audience that likely underutilizes his depth of expertise. His background in SaaS product leadership at a Cisco-acquired company positions him at the center of one of the highest-demand skill sets in tech right now.

The Gap

The systems Ron builds professionally — designed to eliminate manual human oversight — don't exist in his own workflow. His personal brand, consulting opportunities, inbound relationships, and career positioning all still run through him manually. There's no agent layer between his attention and the noise. For someone who understands automation architecture better than almost anyone in this cohort, that gap is the most fixable thing in the room.

The Opportunity

Ron doesn't need to be taught what agents are — he needs to turn the lens inward. An AI system built for his situation would include: an inbound opportunity filter trained on his actual criteria, a thought leadership engine that converts his product expertise into consistent positioning, and a relationship management agent that keeps his professional network warm without requiring his active attention. The architecture is familiar. Tonight is about building it for himself.

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