Scaling an AI-Driven FinTech Through Operational Discipline

Situation

A fast-growing Series B FinTech delivering AI-powered investment analytics had raised $45M and tripled headcount within 18 months. Despite strong product performance, it struggled with operational maturity: inconsistent enterprise messaging, limited partnership reach, stagnant contract values and uneven workforce effectiveness. Investor pressure intensified as sales efficiency declined and competitors accelerated.

The company engaged DOAS Advisors to strengthen organisational readiness, improve commercial performance and position the business for Series C.

Approach

Diagnose organisational and commercial gaps

A four-week diagnostic across leadership, workforce and go-to-market operations included 25 executive interviews, a review of KPIs and workforce analytics, and peer benchmarking. It revealed misaligned leadership priorities, unclear performance metrics, founder-dependent client relationships and underdeveloped enterprise-selling capabilities.

Build workforce capability and execution discipline

• Introduced a 12-week reskilling curriculum focused on enterprise advisory, negotiation and data-driven storytelling
• Coached team leads on OKR-based management and agile cross-functional collaboration
• Implemented dashboards connecting project velocity, client satisfaction and talent-development metrics

The workforce shifted from feature-focused conversations to value-led enterprise advisory.

Strengthen market access and customer engagement

• Negotiated partnerships with two major cloud providers and a global financial advisory firm
• Rolled out co-marketing and educational content aimed at treasury and risk functions
• Redesigned customer engagement through quarterly strategy reviews, improving insight and renewal predictability

Improve contract value and financial discipline

DOAS developed a tiered enterprise offering with structured analytics and advisory layers, and embedded forecasting tools tied to renewal likelihood. This improved pricing discipline, cash-flow predictability and investor transparency.

Impact (12 months post-engagement)

Organisational performance

• Revenue per employee: +45%
• Employee satisfaction: +18 points
• Delivery predictability: +35% through OKR adoption

Commercial growth

• Fortune 500 clients: +72%
• Average contract value: +72%
• Customer retention: 81% to 93%
• Customer satisfaction: 7.1 to 9.0

Financial outcomes

• Annual recurring revenue: $14.6M to $22.5M (+54%)
• Cash-flow performance: +28%
• Sales efficiency: 0.6x to 1.1x, achieving sustainable growth

Outcome

The company moved from a high-potential but operationally inconsistent startup to a commercially disciplined, investor-ready scale-up. Leadership alignment strengthened, workforce capability deepened and enterprise penetration accelerated. It entered its Series C cycle with a scalable operating model, a more predictable revenue base and renewed investor confidence.