No PriorsRe-Founding Incumbents for the AI Era with Sequence Holdings Co-Founder and CEO Michael Lee
CHAPTERS
- 0:33 – 2:09
Sequence’s mission and the Baldwin take-private announcement
Michael Lee explains Sequence Holdings’ core premise: partnering with exceptional management teams and a frontier engineering group to “refound” incumbents into AI-era market leaders. The conversation opens with the $7.7B take-private of insurance broker Baldwin, backed by the Dell Family Office.
- •Sequence founded ~20 months prior to pursue AI-driven transformation through ownership
- •Baldwin described as an “N of one” asset among insurance brokers evaluated
- •Partnership structure includes Sequence, Baldwin management, and the Dell Family Office
- •Emphasis on long-term market leadership vs. short-term optimization
- 2:09 – 5:06
The origin story: investing in AI early and forming the incumbent-refounding thesis
Lee traces his AI coverage starting at Lone Pine in 2017 and how the release of ChatGPT made it clear that scalable model architectures changed the world permanently. He outlines his belief that AI’s impact will be uneven across industries, creating an opening to buy the right incumbents and transform them.
- •Early AI era context: AlphaGo, early transformer work, limits of prior architectures
- •ChatGPT/LLMs convinced him AI could scale with compute and improve continuously
- •AI will affect sectors differently—some minimally, others disrupted by startups
- •Best opportunity: acquire incumbents with durable advantages and refound them with AI
- 5:06 – 6:33
Why “AI transformation” must reorganize the enterprise—not just add tools
Lee critiques the common approach of deploying AI as incremental productivity software for existing workflows. Instead, he argues the real opportunity is reorganizing how work is done when machines can operate 24/7 and scale with electricity.
- •Most AI adoption today = “small machines for every human” to speed up existing work
- •True leverage requires redesigning the org around AI capabilities and human strengths
- •Sequence positions itself to drive end-to-end transformation, not tool adoption
- •Belief that incumbents can become leaders if reorganized correctly
- 6:33 – 7:44
Why a permanent holding company (and why ownership matters)
Lee explains why Sequence is structured as a permanent holding company: to align long-duration capital with sustained engineering investment and shared platform building. He argues ownership solves incentive and change-management constraints that vendors and off-the-shelf software can’t address.
- •Holding company enables shared platform + engineering across portfolio companies
- •Long-term capital aligns with multi-year transformation commitments
- •Vendors/services firms have incentives toward incrementalism and “share of wallet”
- •Off-the-shelf software optimizes for current workflows, not redesigned organizations
- 7:44 – 11:21
Culture as a moat: making engineers the “celebrated persona”
Lee argues companies attract what they celebrate—PE firms celebrate investors, so they aggregate investors. Sequence is built to celebrate engineers because AI-era alpha comes from engineering talent embedded in decision-making.
- •“Celebrated persona” determines who an organization can recruit and retain
- •AI-era advantage requires a culture where engineers have status and influence
- •Palantir cited as an example of an engineer-centric organization model
- •Sequence aims to embed engineers where decisions are made, not as a support function
- 11:21 – 13:36
Recruiting elite engineers: mission, impact, and model-tailwind alignment
Lee describes why engineers join Sequence: direct impact on the “real economy” companies people rely on, and tight linkage between value created and outcomes. He also notes Sequence’s model improves as foundation models improve, reducing existential risk for application work.
- •Engineers get to transform critical “capillary” businesses, not just build models
- •Forward-deployed style work: close to operators, measurable value creation
- •As models improve, Sequence benefits (more capability to deploy)
- •Mission-driven appeal: deliver differentiated customer experiences in incumbent industries
- 13:36 – 17:48
BankSouth: cold-start strategy, regulated advantages, and why minority stakes helped
Lee explains Sequence’s early “cold start” problem and how taking a customer engagement led to a lasting partnership with BankSouth. He argues banking was a surprisingly strong pilot environment because regulation creates clean data, clear rules, and well-defined processes suitable for agents.
- •Cold start: needed capital, deals, and engineers—each depends on the others
- •Started as a services engagement, then became a minority investment
- •Regulation as a feature: defined processes, strong data hygiene, clear constraints
- •Preference for dense, centralized operations where tooling amortizes broadly
- 17:48 – 20:27
Why insurance brokerage fits Sequence’s criteria (and why startups struggle)
Lee lays out why brokerage is attractive: large market size, durable incumbent advantages, and workflows that map well to AI leverage. He also explains structural reasons startups have trouble breaking in, including carrier-paid economics and high retention.
- •Sequence looks for: huge markets, incumbent advantages, and AI-workflow fit
- •Brokerage scale: trillions in premiums; brokers earn commissions from carriers
- •Carriers incentivized to gather high-quality premium; brokers control distribution
- •Customer doesn’t directly pay broker; relationship business with ~90% retention
- 20:27 – 24:35
Atlas platform deep dive: making businesses legible to models and reusable across portfolio
Lee describes Atlas, Sequence’s shared platform built initially at the bank and intended to generalize over time. It includes a data ontology layer, an agent builder, orchestration (Lattice), and an application builder (Artifacts) to accelerate deployment and performance across companies.
- •Platform thesis: ~80% of business building blocks are homogenous, ~20% vertical-specific
- •Data ontology: define the business in code; unify entities across systems
- •Agent builder: grounded, high-performance agents built on “ground truth”
- •Lattice orchestration + Artifacts app-building to instrument workflows end-to-end
- 24:35 – 27:52
Why traditional private equity struggles to replicate this (talent, incentives, time horizon)
Lee contrasts Sequence with classic PE: fund structures incentivize deployment and shorter packaging cycles, while Sequence optimizes for long-term compounding and deep engineering change. He argues recruiting top engineers into a PE firm—and giving them real decision power—is structurally hard.
- •PE funds: deploy capital, optimize IRR, often plan for exit narratives within years
- •Sequence: no deployment cadence; aims for one high-quality deal per year
- •Engineering talent wants influence in core decisions, not a portfolio “value team” role
- •Long-duration transformation requires different economics, culture, and operating cadence
- 27:52 – 31:11
What Sequence looks for in management teams: craft excellence + proven appetite for change
Lee explains that Sequence relies on management teams to be best-in-class operators in their industries. He looks for leaders already laying groundwork (cloud/data centralization, early model adoption) and who can bring employees along through the anxieties of transformation.
- •Management must already “play the game” well within their industry’s realities
- •Transformation is difficult; the “human engineering” problem is the hardest part
- •Signals: cloud migration, centralized data, early adoption of tools like Anthropic/OpenAI
- •Example: Baldwin’s tech readiness (single AMS instance) and proactive AI rollout
- 31:11 – 34:56
BankSouth results and scaling confidence: underwriting automation and cycle-time collapse
Lee shares concrete BankSouth outcomes: consumer underwriting time down ~94% and average loan processing cycle reduced from ~30 days to ~11. He frames the impact as enabling more volume with the same (or less) headcount while shifting people toward higher-leverage, more human work.
- •Consumer loan underwriting time reduced ~94% since post-investment buildout
- •Commercial underwriting rollout underway; end-to-end loan time cut to ~11 days
- •Systems allow higher loan volume without lowering underwriting standards
- •Staff reallocation: fewer rote tasks, more field time for loan officers, focus on exceptions for underwriters
- 34:56 – 42:44
Founder/operator lessons, Dell partnership, and an investing philosophy centered on people
Lee reflects on the empathy gained from building a company—loneliness, difficulty, and reward—and then describes how the Dell Family Office partnership provided certainty of capital for Baldwin. He closes by connecting his career across Apollo and Lone Pine to a consistent principle: back exceptional people in big markets and let compounding do the work.
- •Starting Sequence increased empathy for founders: recruiting, fundraising, and emotional volatility
- •Dell Family Office partnership: underwrote the deal and the transformation model; co-control structure
- •Career synthesis: Apollo (deal mechanics), Lone Pine (taste for great businesses), private investing (frontier tech)
- •Core maxim: exceptional people in large markets outperform—true in venture and public markets
