Scribe, a workflow documentation and AI implementation startup, has secured $75 million in Series C funding at a $1.3 billion valuation, marking a significant milestone in the enterprise AI adoption space. The round was led by StepStone, with participation from existing investors including Amplify Partners, Redpoint Ventures, Tiger Global, Morado Ventures, and New York Life Ventures.
Founded by CEO Jennifer Smith, a former Greylock and McKinsey consultant, and CTO Aaron Podolny, Scribe has developed two flagship products addressing a critical gap in enterprise AI implementation. Scribe Capture uses a browser extension or desktop app to record how expert employees conduct workflows, automatically generating shareable documentation complete with screenshots and written instructions. This helps companies standardize processes and preserve “institutional know-how” across functions like onboarding, customer support, and training.
The company’s latest innovation, Scribe Optimize, analyzes workflows within organizations to identify improvement opportunities and AI adoption pathways. The platform leverages a massive database of 10 million workflows across 40,000 software applications that Scribe has already documented to suggest specific areas for automation. This data-driven approach addresses what Smith identifies as the fundamental challenge in AI implementation: context and visibility.
“AI can’t improve what it can’t see,” Smith explained. “You can’t just sprinkle AI into your business and expect that it’s going to magically make everything better. The missing ingredient is context and data.”
Scribe’s growth metrics are impressive: the company now employs 120 people and serves over 75,000 customers, including major enterprises like New York Life, T-Mobile, and LinkedIn. Remarkably, 44% of the Fortune 500 are paying customers. Smith emphasized the company’s capital efficiency, noting that Scribe hasn’t spent any of its previous $25 million raise from 2024. The new funding will accelerate Scribe Optimize’s rollout and support development of follow-on products, positioning the company to capitalize on the growing enterprise demand for structured AI implementation strategies.
Key Quotes
AI can’t improve what it can’t see
CEO Jennifer Smith made this statement to emphasize the fundamental challenge facing companies trying to adopt AI. It underscores Scribe’s core value proposition: that effective AI implementation requires comprehensive visibility into existing workflows and processes before automation can be successfully applied.
You can’t just sprinkle AI into your business and expect that it’s going to magically make everything better. The missing ingredient is context and data.
Smith’s quote captures the central problem Scribe aims to solve—the gap between AI’s potential and its practical application in enterprises. This statement positions Scribe as providing the essential foundation (context and data) that companies need before AI investments can generate returns.
Our Take
Scribe’s success reveals a sophisticated understanding of enterprise AI adoption challenges. Rather than selling AI directly, the company is selling the infrastructure that makes AI implementation possible—a potentially more sustainable business model. The fact that they haven’t touched their previous funding round while achieving 44% Fortune 500 penetration suggests strong unit economics and product-market fit. The 10 million workflow database is particularly strategic; it creates network effects where each new customer makes the product more valuable for all users. This positions Scribe not just as a documentation tool, but as a potential standard-setter for how enterprises approach AI readiness. The timing is perfect: as AI hype meets implementation reality, companies need exactly what Scribe offers—a systematic way to identify where AI can actually add value rather than pursuing AI for its own sake.
Why This Matters
This funding round highlights a critical evolution in the enterprise AI market: the shift from AI hype to practical implementation. While countless companies are rushing to adopt AI, many struggle with the fundamental challenge of understanding their existing workflows well enough to apply AI effectively. Scribe’s approach addresses this gap by providing the visibility and documentation layer that enterprises need before AI can deliver value.
The company’s impressive client roster—including nearly half the Fortune 500—demonstrates that workflow documentation and AI readiness are becoming strategic priorities for large organizations. Scribe’s database of 10 million workflows represents a unique competitive moat, offering data-driven insights that generic AI tools cannot provide. This positions the company at the intersection of two major trends: digital transformation and AI adoption.
For businesses, this signals that successful AI implementation requires foundational work in process documentation and analysis. For workers, it suggests that understanding and documenting workflows may become increasingly valuable skills as companies seek to identify automation opportunities while preserving critical institutional knowledge.
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Source: https://www.businessinsider.com/scribe-pitch-deck-75-million-fix-how-companies-adopt-ai-2025-12