Co-Founder & CEO - AI Clinical Documentation Compliance

FutureSight is seeking a Co-Founder & CEO to lead Concordance , an AI-native clinical documentation compliance venture. This is a co-founder partnership with meaningful founder equity, not a salaried executive role.

Concordance AI audits 100% of healthcare charts in real-time, catches payer-specific gaps before they hit billing, and eliminates the manual QA overhead that costs organizations millions in denials and clawbacks every year. Currently, manual QA teams consume 25%+ of operational labour budgets, yet audit only about 10% of patient charts, leaving organizations massively exposed.

We didn't just build a thesis; we validated it directly with the market. We have spoken directly with Compliance Directors, QA Leaders, and Revenue Cycle Directors across behavioural health organizations. The market signal is incredibly strong:

• Unprompted Product Pull: Every single lead described the exact product we want to build: a pre-billing, real-time, EHR-integrated flagging layer that checks documentation against payer-specific rules before claims are submitted.
• Massive Financial Pain: The real pain comes from post-payment recoupments (clawbacks). Buyers cited chronic, aggressive payer audits happening weekly or monthly, with single audit events causing catastrophic losses ranging from $150,000 to $850,000.
• Budget is NOT the Blocker: Buyers explicitly stated that if the tool integrates cleanly with their EHR and meets a high accuracy bar, securing the budget is not a problem.

We are targeting a large, highly fragmented market where revenue cycle teams are increasingly struggling to manage denials at scale. The total addressable market is estimated at $4.0B–$6.0B+, spanning more than 20,000 organizations, including multispecialty groups, behavioural health providers, and health systems. The ROI case is compelling: at current price points, the software can quickly pay for itself by reducing manual auditing labour by an estimated 80–85% while also preventing clawbacks that translate into millions in avoided losses.

You’ll co-create with a proven studio team, led by John Carbrey (4x entrepreneur, $100M ARR), Krista LaRiviere (3x exited, E&Y Top Women Entrepreneur), Alan Smith (Strategyzer co-founder, $120M in products built), Prathna Ramesh (former MD of Maple Leaf Angels, $275M in follow-on capital), and Johnny Tong (0-to-1 builder, acquired by SAP and Stripe) bring a rare combination of operator exits, institutional investing, and AI product depth.

• Founder equity with meaningful ownership from inception
• Pre-seed capital committed by FutureSight for early hires and MVP development, with potential for follow-on funding
• Venture building resources, including embedded design, engineering, growth, and fundraising support from day one
• Investor and advisor network across vertical AI and early-stage capital markets
• A true co-creation model in which you operate as CEO with FutureSight's cross-functional team as your partner

• Strategy
• Refine the ICP, pricing model, and product positioning
• Customer Development
• Lead pilots with compliance and revenue cycle leaders, convert them to paid engagements, and build the go-to-market motion
• Product
• Partner with the FutureSight product and engineering team to ship V1 and iterate on user feedback
• Capital
• Lead the seed raise, supported by FutureSight's network and traction
• Team
• Recruit and lead the founding team, and establish the cultural foundation of the company

• Previous founding experience at a venture-backed company
• Demonstrated success in B2B SaaS or B2B AI go-to-market, including sales and customer engagement
• Fundraising fluency, with the ability to develop investor narratives and close capital
• Proven ability to attract, develop, and retain top talent
• Clear-eyed understanding of the risks and demands of co-founding a venture-backed company
• RCM Domain & Workflow Depth: Deep, operational exposure to healthcare revenue cycle, medical billing, or denial management. You must intuitively understand the operational differences between clinical/coding denials and administrative roadblocks. You are familiar with the fragmented realities of smaller EHR/PM systems and the "band-aid" tech stacks billers use to survive