Poetic: Turning Enterprise Procedures into Evolving Software

Tags

Key points

• Poetic is developing an AI platform to automate complex, multi-hour enterprise procedures, particularly in regulated industries, by translating human expertise into reliable software.
• Kleiner Perkins, having previously invested at the seed stage, led Poetic's recent $50M Series A funding round, citing strong conviction in the company's progress.
• Poetic achieved an eight-figure run rate and profitability in 2025 with a lean team of four people, showcasing efficient growth and market traction.
• The platform has demonstrated high accuracy in deployments, with one major insurer reporting Poetic exceeding human team performance in demanding processes, and SoFi experiencing 100% process adherence and improved quality metrics.

Notable quotes

In just weeks, Forge was able to execute many of our fraud processes end-to-end, all while improving quality metrics and the member experience. With auto-decisioning, members get access restored right away, instead of days. As we've scaled across the business, we've seen 100% process adherence, even in our most complex compliance investigations.

— Anthony Noto

Structured claims — 25

1. 1
   Monitor AI application trends to identify underserved market segments beyond common categories like code generation and customer service.

   Entities: artificial_intelligence
2. 2
   Identify opportunities for software and AI solutions in complex, multi-hour enterprise processes that are currently underserved by existing technology.
3. 3
   Understand the challenges in automating enterprise processes, particularly the need to capture and codify undocumented expert knowledge and handle numerous edge cases.
4. 4
   Track Poetic as a solution provider for automating high-accuracy, regulated enterprise workflows.

   Entities: Poetic
5. 5
   Benchmark Poetic's approach to AI automation, focusing on its strategy for integrating human expertise into software rather than solely on model performance.

   Entities: Poetic
6. 6
   Investigate Poetic's proprietary programming language as a potential differentiator for user-friendly workflow definition in AI automation.

   Entities: Poetic
7. 7
   Evaluate Poetic's architecture for its efficiency and cost-effectiveness, particularly its near-tokenless execution, in comparison to other AI solutions with high token spend.

   Entities: Poetic
8. 8
   Track Poetic's market positioning and competitive advantage in addressing concerns over AI token expenditure, a growing issue for large enterprises.

   Entities: Poetic, Uber
9. 9
   Note the long-standing relationship between Kleiner Perkins' Leigh Marie Braswell and Poetic's founder Markie Wagner, indicating a deep understanding of the founder's capabilities.

   Entities: Leigh Marie Braswell, Markie Wagner, Poetic, Waymo
10. 10
    Recognize Markie Wagner's prior experience with Delphi, an ML consultancy, as foundational to her understanding of AI production challenges before founding Poetic.

    Entities: Markie Wagner, Delphi, Poetic
11. 11
    Assess Markie Wagner's background with Delphi as evidence of her practical experience in deploying machine learning in production environments.

    Entities: Delphi, Markie Wagner
12. 12
    Consider Markie Wagner's patient approach to founding Poetic as an indicator of her strategic timing and conviction in AI technology maturity.

    Entities: Markie Wagner, Poetic
13. 13
    Track Kleiner Perkins' early investment in Poetic as a signal of their confidence in the company's potential from its inception.

    Entities: Kleiner Perkins, Poetic
14. 14
    Monitor Kleiner Perkins' continued investment in Poetic, specifically leading the $50M Series A round, as a strong indicator of the company's growth and investor confidence.

    Entities: Kleiner Perkins, Poetic
15. 15
    Benchmark Poetic's rapid revenue growth, reaching an eight-figure run rate in 2025, as a key performance indicator for AI automation startups.

    Entities: Poetic
16. 16
    Track Poetic's profitability in 2025 as a significant financial milestone, indicating strong unit economics and efficient operations for an AI startup.

    Entities: Poetic
17. 17
    Analyze Poetic's lean operational model, achieving significant financial milestones with a small team, as a case study for capital-efficient AI ventures.

    Entities: Poetic
18. 18
    Identify Poetic's market penetration in large financial services organizations as a validation of its platform's capability and trustworthiness in regulated environments.

    Entities: Poetic
19. 19
    Assess Poetic's focus on critical and complex workflows within financial services as an indicator of its value proposition and potential for high impact.

    Entities: Poetic
20. 20
    Benchmark Poetic's performance against human teams in demanding processes, noting its ability to exceed human accuracy as a key competitive advantage.

    Entities: Poetic
21. 21
    Track the rapid deployment and operational impact of Poetic's Forge platform at SoFi, specifically its ability to handle end-to-end fraud processes quickly.

    “In just weeks, Forge was able to execute many of our fraud processes end-to-end, all while improving quality metrics and the member experience.”

    Entities: Anthony Noto, SoFi, Forge
22. 22
    Evaluate Poetic's Forge platform for its ability to enhance both internal operational quality and external customer experience, as demonstrated by SoFi.

    “In just weeks, Forge was able to execute many of our fraud processes end-to-end, all while improving quality metrics and the member experience.”

    Entities: Forge, SoFi
23. 23
    Benchmark the impact of Poetic's auto-decisioning capabilities on customer service and efficiency, noting the reduction in resolution time for SoFi members.

    “With auto-decisioning, members get access restored right away, instead of days.”

    Entities: Forge, SoFi
24. 24
    Monitor Poetic's Forge platform for its ability to ensure perfect process adherence, a critical factor for compliance and regulatory environments, as evidenced by SoFi's experience.

    “As we've scaled across the business, we've seen 100% process adherence, even in our most complex compliance investigations.”

    Entities: Forge, SoFi
25. 25
    Track the ongoing collaboration between Kleiner Perkins and Poetic, indicating continued support and strategic alignment.

    Entities: Kleiner Perkins, Markie Wagner, Poetic

Source

Source

kleiner-perkins-blog

Record title

Poetic: Turning Enterprise Procedures into Evolving Software

Published

Jun 10, 2026

URL

https://kleinerperkins.com/perspectives/poetic-turning-enterprise-procedures-into-evolving-software

Manifest ID

1781110426634054797

Significance

medium

Sentiment

positive