The Community-Oriented Event Series for Tech Builders

Actual Intelligence.

A community for builders and leaders who want to level up, connect, and have a little fun.

We built the event we’d actually want to attend: an ongoing series and community where local engineering leaders and CEOs can learn, connect, and have a good time without the facades. We start with an icebreaker activity, then learn from a real practitioner, followed by networking, drinks, and apps (the kind you can eat). We look forward to seeing you.

Sponsors Coming soon
Register to Attend
Or register via Meetup →

Free event · Registration required

When Starting Tuesday, August 25th
Location Pinkston HQ · 3110 Fairview Park Dr, 14th Floor, Falls Church, VA
Format 30 min warmup · 30 min real talk · 60+ min networking
Who CTOs, engineering leads, and technical founders
The Format

Every session, the same three things.

Every session brings a different activity, a different speaker, and a different topic, but the structure never changes because it works. It’s short enough to respect your evening and open enough to let the real conversations happen.

30min
The Warmup
Every session opens with a fun activity designed to get you talking to everyone in the room. The format is fun, the stakes are low, and meeting people is how you play. The activity changes each session. The goal never does.
30min
A Real Conversation
One practitioner. One topic they’ve actually lived. No slides, no vendor pitch. Just an honest account of what happened, what they learned, and what they’d do differently.
60+min
Genuine Connections
Open networking with the speaker, the host, and the room. The energy is already there from the first two parts. These conversations tend to keep going long after the venue closes.
The warmup is the icebreaker. The network is the product. Both are deliberate.
Why this community exists

Most “AI events” are vendor catalogs in a ballroom.

We talked to dozens of executives over the last six months, across CEOs, CTOs, CFOs and COOs at PE-backed portcos, regulated mid-market firms, federal contractors, and mission-driven nonprofits. The same sentence kept coming back:

“Everybody’s got chatbot on their roadmap still. They’re not looking at the whole picture because they can’t see the whole picture.” CTO & AI advisor, growth equity firm (26 portfolio companies)

Most organizations have AI on their roadmap and pilots already in flight, and most of those pilots have quietly stalled, not because the technology doesn’t work but because the stack underneath it, the process around it, and the contracts that support it were all built for a different decade. So we open every session with a fun activity where meeting the room isn’t optional; it’s how you play. By the time the speaker takes the floor, everyone’s already had a real moment together, and that’s entirely by design.

A Menu, Not a Calendar

The conversations we’re curating.

Each event in the series is built from this menu of topics, drawn directly from what executives are telling us, in their own words, on calls we run every week. We don’t fix the schedule in advance. We pick the topic that matches the room we can convene and the speaker who can do it justice.

A The Foundation Problems

The tech and process underneath the AI roadmap, and why most of it isn’t ready.

01
TOPIC 01

Your Stack Is Holding Your AI Hostage

Every AI initiative that stalled in the last 18 months stalled for the same reason: the system underneath it was never built to move. Stored procedures, manual release gates, untrusted internal APIs.

“The evolution of how the product grew up... interns writing stored procedures that pile on top of each other. Those problems still plague us.”– Founder/CEO, identity-security SaaS
02
TOPIC 02

CI/CD to the Power of a Million

If you ignored CI/CD a decade ago you survived. If you ignore AI infrastructure debt right now, you don’t. The investment is small. The compounding gap isn’t.

“For 30 years, whenever you find out a company is not using CI/CD, you’re like, why? It’s like that, except to the power of a million.”– CTO & AI advisor, growth-equity firm
03
TOPIC 03

More Data, More Problems

Feeding AI into a broken operating model doesn’t accelerate the business; it accelerates the dysfunction. Conflicting ground truth, accountability gaps, decision latency.

“More data is creating more chaos in what’s true. That’s the part that was not obvious until I was absolutely neck-deep.”– Technology advisor, knowledge-graph builder
B The Strategy Problems

The decisions every executive is about to make, or has already made and is quietly regretting.

04
TOPIC 04

Everyone Has a Chatbot. Almost Nobody Has Production AI.

The gap between “AI on the roadmap” and “AI in front of customers” is where most companies are quietly stuck, and the board doesn’t know it yet.

“Everybody’s got a chatbot on their roadmap still. They’re not looking at the whole picture because they can’t see the whole picture.”– CTO & AI advisor, growth-equity firm
05
TOPIC 05

The Most Expensive Decision Right Now: “We’ll Build It Ourselves”

In-house AI development sounds like control. It costs three teams, two years, and a talent market that doesn’t favor you. The founders who killed the experiment can explain why.

“They keep firing their data team because they can’t deliver. So now we’re onto the third team.”– CEO, analytics platform company
06
TOPIC 06

The Solo CTO Is Your Biggest AI Risk

One technically-fluent leader carrying the whole AI transformation isn’t a strength; it’s a single point of failure. What happens when they’re saturated, recruited away, or out for two weeks?

“The CTOs are time-strapped... they have to get things done the way they’ve already been getting them done, or else they’re gonna continue to fall behind.”– CTO & AI advisor, growth-equity firm
07
TOPIC 07

The Generational AI Standoff

Junior staff want Claude turned loose on everything. Senior leadership wants guardrails. The fight inside your firm is the same fight inside every firm, and most companies are losing both sides of it.

“We got young people that are like, hey boomers, if you don’t set Claude loose on everything at all times, we’re behind. And at the same time we’ve got to set up the organization so as not to trip and violate compliance laws.”– Managing Partner, venture capital firm
C The Commercial Problems

How you actually buy, sell, and contract AI delivery in a world where the old units of measure no longer apply.

08
TOPIC 08

The Contract That Doesn’t Exist Yet

The pricing models procurement knows how to evaluate were built for a world that doesn’t exist anymore. Headcount has no relationship to outcomes. T&M is breaking on both sides of the table.

“I’m so used to selling per person. I’ve never sold a pod. How do you contract it?”– CRO, technology platform company
09
TOPIC 09

From Services to Software

If you sell delivery hours today, the AI-era version of your pricing model is a different model, not a discount on the old one. The founders who already made the transition can tell you what broke first.

“We started to shift from being a services company that had some cool tech... to being a software company where if you need some hands-on help, we can help.”– Founder/CEO, identity-security SaaS
10
TOPIC 10

The Partner Problem

There is more budget for AI delivery than at any point in the last decade, and almost nobody in the buying seat trusts the vendors in front of them. The buyer-side post-mortems are damning.

“They didn’t understand identity. They didn’t understand the use case. They were developers – and maybe not even the best developers.”– Founder/CEO, identity-security SaaS
D The Stakes

The cost when this goes wrong: for the company, for the board, for the audience your AI is delivering to.

11
TOPIC 11

When AI Lies in Court

Hallucinated citations in expert-witness reports. Fabricated case law in legal briefs. AI in regulated domains isn’t an efficiency tool; it’s a liability surface.

“Bastion gave me output scores for these made-up data sources... I spent a very long time literally trying to track down the author... And he didn’t write it.”– Forensic psychologist, legal-tech AI startup
12
TOPIC 12

The Board Asked About AI. What You Actually Tell Them.

You can run the model. You can show the output. But can you explain it upward, to the board, the investors, the regulators? Most executives can’t.

“The AI piece is already a box. So like – it would be a box inside of a box. I’m like, how does it do it? I still haven’t heard anybody give me a good answer.”– CEO, B2B analytics SaaS
13
TOPIC 13

The Data Moat That Never Was

You own the data. You have the customers. You should be defensible. So why is a competitor with a $9.99 LLM license eating your lunch?

“You’re talking to the guy who has an analytics platform in the age of a $9.99 Power BI license. Go right ahead. Let’s talk in 90 days.”– CEO, B2B analytics SaaS
14
TOPIC 14

AI on a Deadline

Federal AI guidance. State-by-state compliance fragmentation. The regulatory clock is moving faster than the tooling roadmap, and “we’ll get to it” stopped being a viable answer two quarters ago.

“People see this deadline and it’s already too late. It’s six months too late.”– Sustainability lead, packaging-compliance data company
E The Operating Model

How AI changes the shape of how work gets built and sold, for the firms doing the building and the executives buying from them.

15
TOPIC 15

The Software Factory

The shift from artisan AI delivery to industrialized AI delivery. Why “we use Claude for everything” is not a strategy.

“The offering is the seller’s personal workflow.” If that’s true about your team or your vendor, it doesn’t survive that person changing roles.– Internal critique, services-firm offsite, May 2026
16
TOPIC 16

The Interface Role Nobody Hired Yet

The new bottleneck in AI delivery isn’t engineers; it’s the people who can translate executive intent into agentic specifications. They don’t have a job title yet.

“We have ~160 developers, very few interface-capable. A few deals in, we run out of qualified people.”– CTO, mid-market AI services firm
17
TOPIC 17

The Pricing Authority Vacuum

Your pricing model lives in a document. Your pricing realization happens wherever the relationship allows. Until a pricing authority exists separate from the account owner, outcomes pricing drifts back to hourly billing.

“The pricing model exists in a document. The pricing realization lands wherever the relationship allows.”– Internal margin postmortem, services-firm leadership
18
TOPIC 18

Doctor by Doctor: How Purpose-Built AI Eats Monolithic SaaS

A $2B SaaS company watching purpose-built AI tools replace its product one workflow at a time. The pattern reshaping every SaaS market, not as a frontal assault, but as a flank.

“$2B/7K-person company whose top strategic risk is purpose-built competitors replacing their monolithic system, doctor’s office by doctor’s office.”– Leadership offsite, May 2026
Who Runs the Room

Hosted by practitioners, not promoters.

The people on stage have actual receipts. They’ve hired the engineers, made the calls under pressure, and lived with the outcomes. No talking heads. No sponsored speakers. The keynote slot is programmed when the right person and the right topic align.

Tyler Goble
MC
Tyler Goble
Entrepreneur in Residence, Victory Square Partners

Helps PE and VC portfolio companies figure out where they actually stand on AI readiness and builds the bridge from there. Brings hands-on technical depth to architecture reviews, transformation roadmaps, and engineering team leadership at growth-stage companies.

LinkedIn
Paul Doman
Host & Convener
Paul Doman
Co-Founder & CEO, Victory Square Partners

Army veteran, entrepreneur, and technology services executive. Co-founded Victory Square Partners in 2019 and has grown it to 200 team members and back-to-back Inc. 5000 rankings. Member of Mindshare (class of 2024).

LinkedIn
Matt Walnock
Speaker
Matt Walnock
Head of AI & Advisory Services, Victory Square Partners

Started as a software engineer, rose to architect, served as CTO of Parature through its acquisition by Microsoft. Now leads advisory engagements helping growth-stage companies build AI roadmaps and ship faster without sacrificing judgment.

LinkedIn
Who’s in the Room

The people make the room.

We’re intentional about who gets in, because the quality of the room is the whole point. If you lead a technical team, own an AI roadmap, or are actively building something, you’ll find your people here. The more honest you’re willing to be about what’s actually going on in your organization, the more you’ll get out of it.

The Engineering Leaders

CTOs, VPs of Engineering, heads of product, and senior architects at growth-stage and mid-market companies. People who own a technical team, an AI roadmap, or a delivery problem they haven’t solved yet. This is the core of the room.

The Technical Founders

Founders and co-founders who came up through engineering and are now navigating the AI build-vs-buy question with real money on the line. They bring a different kind of urgency to the conversation, and a different kind of honesty.

The Operators & Investors

Fractional CTOs, technical advisors, and PE or VC partners who see the same AI implementation failures across dozens of companies. They come because the cross-pollination is the whole point, and because they need the peer network too.

Get Involved

Three ways to be part
of Actual Intelligence.

You won’t get a drip sequence. You’ll hear from a real person, usually within 48 hours. Whether you want a seat at the next session, a conversation before it happens, or a slot on the stage to tell your own story, there’s a path below. Interested in co-hosting or bringing your community? Reach out the same way.

Path 1

Attend an event

Get on the invite list for upcoming sessions. Tell us which topics you’d want to be in the room for and we’ll send the invite when the date is locked.

Get on the list
Path 2

Talk before the event

You have a specific situation worth a real conversation before you show up. Tell us what you’re working on and we’ll schedule a 30-minute call before the next session.

Request a pre-event call
Path 3

Speak on stage

You’ve lived one of the topics on the menu and would consider telling the story from the stage. No deck required. Just what happened, what broke, and what you’d do differently.

Submit your pitch
Hosted byVictory Square Partners, AI-native engineering embedded in your team
Direct contacthello@victorysquarepartners.com
Onlinevictorysquarepartners.com