How Extend built a four-pillar marketing org mapped to four distinct B2B2B growth motions | Guillaume Bouvard

How Extend built a four-pillar marketing org mapped to four distinct B2B2B growth motions | Guillaume Bouvard

Extend's model is built on a specific bet: that banks want to offer their SMB clients a better expense management product but won't build it themselves. Extend builds that product and sells it to the bank, who then distributes it to their business customers as their own offering. In a recent episode of BUILDERS, we sat down with Guillaume Bouvard [https://www.linkedin.com/in/bouvard/], Co-Founder, COO & CMO of Extend, to hear how 12 years at American Express became Extend's most underrated distribution asset, why he structures his entire marketing org around growth motions rather than functions, and what he's learned about the only marketing investment that actually moves the needle in a B2B2B fintech model. Topics Discussed: * How Extend's Amex alumni network became its primary bank acquisition channel in the early years * The B2B2B distribution model: why Extend sells to banks and lets them distribute to SMB clients * How Guillaume maps Extend's four marketing pillars directly to four distinct growth motions * Why partner activation is Extend's highest-leverage marketing investment right now — and where past attempts failed * Why distributed bank sales forces make traditional field enablement structurally unworkable * What a first-time CMO should do before launching a single campaign * How founders should hire a marketing leader: the case against job postings GTM Lessons For B2B Founders: * Convert your operator network into a structured distribution channel before building any outbound motion. When Extend launched, Guillaume didn't build a prospecting sequence to reach bank executives. He called people he'd worked alongside at Amex who had since moved into product and executive roles across the financial services industry. That network was the direct result of his time in Amex's strategic planning group — a small team that worked directly with the CEO and the full executive suite, giving him exposure to senior relationships across the industry well before he needed them. The lesson isn't "use your network." It's more specific: founders with deep operator backgrounds at market-defining companies are sitting on a distribution asset that compounds over time as those colleagues move into decision-making roles at prospects. Map that network before you build anything else. * Structure your marketing org around your actual growth motions, not around standard marketing functions. Guillaume runs four parallel growth motions at Extend: selling directly to banks, acquiring SMB customers through those bank partners, acquiring a smaller volume of SMB customers directly, and retaining and growing the existing customer base. Every marketing pillar and every team member maps to one of those four motions. The insight for B2B founders is that most early marketing orgs are built around what marketing departments are supposed to look like — brand, demand gen, content — rather than around how revenue actually enters and expands in the specific business. Before making a single marketing hire, map your growth motions first, then design the org to serve them. //  Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io [http://www.frontlines.io] The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co [http://www.globaltalent.co] // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM [https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM]

How Safebooks AI positioned against the 80% accuracy standard that makes AI unacceptable in finance | Ahikam Kaufman

Safebooks AI is building the infrastructure layer that makes agentic AI safe to operate inside the office of the CFO. Where most finance automation tools solve point problems — AP, AR, billing, reconciliation — Safebooks ingests data end to end across every system in a company's financial stack: CPQ, CRM, contract management, billing, ERP, and banking. Using graph AI technology, it normalizes that data into a complete, traversable audit trail so AI agents can process every transaction with the accuracy and completeness that financial compliance actually demands. In a recent episode of BUILDERS, we sat down with ⁠Ahikam Kaufman⁠ [https://www.linkedin.com/in/ahikam-kaufman-688310/], Co-Founder & CEO of ⁠Safebooks AI⁠ [https://safebooks.ai/], to learn how a career inside the office of the CFO — including time at Mercury Interactive and a post-acquisition role at Intuit — led him to build the data infrastructure layer that makes agentic finance real. Topics Discussed: * Why the office of the CFO requires a fundamentally different accuracy standard than any other AI use case — and how Safebooks architected around that constraint from day one * How graph AI technology creates a unified, end-to-end audit trail across structured and unstructured financial systems * The SOC1 certification strategy and customer UAT process Safebooks uses to establish trust with risk-averse finance buyers * Why Ahikam positions around "finance operations automation" rather than "financial data governance" — and the category design logic behind that choice GTM Lessons For B2B Founders: * The accuracy ceiling is your positioning. Most AI go-to-market is built around aggregate improvement metrics — productivity gains, error reduction percentages, time saved. Safebooks identified that this framing actively undermines trust with their specific buyer. As Ahikam put it: "When you run AI for marketing or sales and let's say 80% is correct, then that's good enough. In finance, it's not good enough." He didn't just say this in sales conversations — he built the entire product architecture around it, including the graph AI layer that creates a complete transaction audit trail before any agent touches the data. Founders targeting regulated or high-stakes buyers should pressure-test whether their accuracy positioning is calibrated to their ICP's actual risk tolerance, not to the median SaaS buyer's. If your buyer operates in an environment where partial accuracy creates liability, that ceiling is your sharpest differentiator — lead with it explicitly. * Use compliance certifications as a trust wedge, not a checkbox. Safebooks pursued SOC1 certification — a standard typically associated with financial controls audits, not software products — as an active part of their sales motion with CFO buyers. Paired with customer UAT against their own historical data, this creates a proof path that doesn't require the buyer to take Safebooks' word for anything. The sequence matters: let the prospect run their own validation against data they already know, then back it with a certification framework they already respect. Founders selling into enterprise buyers with established risk and compliance functions should map the specific third-party certifications their buyers already rely on and pursue those proactively, rather than building a trust narrative entirely on case studies. //  Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership.⁠ www.FrontLines.io⁠ [http://www.frontlines.io] The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.⁠ www.GlobalTalent.co⁠ [http://www.globaltalent.co] // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.  Subscribe here:⁠ https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM [https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM]

What ToltIQ's co-founder — a former KKR CIO — says founders must never do when selling AI to financial services buyers | Ed Brandman

Ed Brandman⁠ [https://www.linkedin.com/in/ed-brandman] spent decades in global financial services before retiring in 2018. His last chapter before stepping away was at KKR — where he joined when the firm had just 390 people and left having helped build it into one of the most recognizable names in alternative assets. Five years later, a conversation with his son (now his co-founder) about the due diligence process pulled him back. That became ⁠ToltIQ⁠ [https://toltiq.com/], an AI-native platform built specifically for private markets. In this episode of BUILDERS, Ed breaks down a GTM that ran entirely on referrals for two-plus years, how a deliberate industry-first hiring policy replaced a sales team, and what founders consistently get wrong when trying to sell AI to financial services buyers who are already overwhelmed. Topics Discussed: * Why Ed and his co-founder targeted the front end of the investment workflow — not back-office ops — as the highest AI leverage point * The deliberate decision to staff 70% of the team, including engineers, from inside the industry * How ToltIQ generated 8–10 inbounds per week for two years with no outbound motion — and what finally made them add one * Running a 30-person team against a 100-person competitor using AI internally across the entire org * The three things Ed tells every founder trying to sell into financial services CIOs * Why the Frontier model providers (OpenAI, Anthropic) may be the biggest threat founders aren't pricing into their moat GTM Lessons For B2B Founders: * The highest AI leverage in financial services isn't where most founders look. Ed's conviction from the start — drawn directly from his time inside KKR — was that the front end of investment workflows (diligence, capital raising, investor relations, sourcing) would yield far more from AI than operational back-office processes. That's the opposite of where most AI vendors pitch. If you're building for a specialized vertical, time spent inside the industry isn't just helpful for credibility — it's how you identify where the real leverage is before you build anything. * Hire the domain, then train for the tool. 70% of ToltIQ's team — including engineers and the client-facing org — came from inside private markets. Ed's view: if clients can sit across from your team and feel understood before the demo starts, you've already cleared the biggest hurdle in enterprise sales. This wasn't incidental. It was a deliberate hiring philosophy from day one, and it scaled the business before there was a sales playbook. * Referral growth at this scale requires earning it, not engineering it. ToltIQ had no outbound motion for more than two years and was still fielding 8–10 inbounds per week by the end of 2025. Ed's explanation: the time they invested in onboarding clients — working through problems with them, being transparent about limitations, iterating in the open — made clients want to refer peers. In tight-knit professional networks like private markets, the quality of the relationship drives referrals more than the quality of the product alone. The referral engine sustained the company through 2025 and into 2026 before they felt the ceiling. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership.⁠ www.FrontLines.io⁠ [http://www.frontlines.io] The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.⁠ www.GlobalTalent.co⁠ [http://www.globaltalent.co] // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.  Subscribe here:⁠ https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM [https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM]

How GradBridge is building distribution through school partnerships to reach students at the point of decline | Jen O'Donald

Every year, more than half of private student loan applicants get declined. Not because they're unserious about their education — but because they narrowly miss a credit cutoff. For upperclassmen and grad students already deep into a degree, that rejection often means dropping out. ⁠Jen O'Donald⁠ [https://www.linkedin.com/in/jenodonald/] spent 13 years at Sallie Mae, most recently running product, watching this gap go unsolved. So she built ⁠GradBridge⁠ [http://www.gradbridge.com/] to solve it — creating an entirely new category in student lending: the second look. In this episode, Jen breaks down what it actually takes to go from zero to live in heavily regulated fintech, how she managed a multi-stakeholder launch across a sponsor bank, servicing platform, and compliance stack, and why federal student loan policy shifts are reshaping the entire private lending market in real time. Topics Discussed: * Why half of private student loan applicants get declined — and what it costs them * How GradBridge identified and defined a category that didn't previously exist * The "circular reference" problem of building in regulated fintech and how to move through it * Coordinating a launch across a sponsor bank, origination platform, servicing platform, and compliance stack * How federal policy changes are shifting private student loan demand — and how GradBridge repositioned in real time * School partnerships and referral channels as the core distribution strategy * What "flawless execution" looks like in a zero-tolerance regulated environment heading into peak season // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership.⁠ www.FrontLines.io⁠ [http://www.frontlines.io] The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.⁠ www.GlobalTalent.co⁠ [http://www.globaltalent.co] // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here:⁠ https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM [https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM]

Why up to 50% of Savvy Wealth’s marketing budget goes towards experimentation

Savvy Wealth⁠ [https://savvywealth.com/] is an AI-enabled platform for independent financial advisors — solo operators and small teams — that handles everything from CRM and billing to compliance, investment management, and financial planning. In this episode of BUILDERS, I sat down with ⁠Ritik Malhotra⁠ [https://www.linkedin.com/in/ritikmalhotra/], Founder & CEO, to get into the GTM mechanics behind selling into one of the most trust-locked markets in financial services: advisors who don't just buy software — they move their entire business. Topics Discussed: * What Ritik took — and deliberately inverted — from watching Brex scale from ~$5M to $100M in revenue in a single year * Why Savvy's GTM motion is structurally closer to recruiting than B2B sales — and what that means for team design * How a data science-driven "likelihood to move" model shapes top-of-funnel targeting * What's actually driving growth: brand trust and advisor word-of-mouth over outbound * Why cold email and conference booths underdelivered, and the experimentation framework Ritik runs instead * How Savvy deliberately blends adjacent-industry sales talent with wealth management insiders * Why the "AI replaces the advisor" framing gets the value prop of human financial guidance fundamentally wrong * The long-term vision: a fully vertically integrated operating system for financial advisors, orchestrated by proactive AI agents // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM