For decision-makers and delivery teams across banking, insurance and investment, AI now handles a growing share of software development. Yet, writing code was never the most challenging part of financial services. The greater difficulty lies in everything that surrounds a change: proving why it was made, recording who approved it and being able to stand behind it when a regulator asks. If AI adoption runs ahead of governance, especially in light of frameworks such as DORA raising the bar on operational resilience and traceability, that surrounding work becomes the real constraint on how fast an institution can move with confidence.
That gap is already showing. Among 1,528 developers and technology buyers surveyed, 80% of organizations say AI outpaced their governance policies, and 92% face governance challenges with AI-generated code (GitLab, AI Accountability Report 2026).
This Software Mind webinar presents Spec-Driven Development as a way through that challenge. Rather than leaving architecture, security and compliance decisions to scattered developer prompts, SDD anchors delivery to an approved specification that both engineers and AI work from – aligning speed with oversight instead of trading one for the other. Drawing on a real-world case study, our speakers show how the approach works in practice.
Watch this webinar to learn how to:
Understand the "AI delivery paradox" and why faster coding shifts pressure to review, security and governance
Structure critical business, risk and architecture requirements into a spec that guides both developers and AI
Draw a clear line between where AI can safely draft, analyze and verify versus where humans must maintain responsibility
Pilot Spec-Driven Development on a single material change without reworking the SDLC you already rely on
Rethink what fast, dependable delivery looks like in a regulated world. Watch the recording to see how Spec-Driven Development helps financial institutions keep software under firm human control.
