Founded in 2024 by enterprise infrastructure veterans CEO Sean Blanchfield (DemonWare, acquired by Activision Blizzard), CTO Michael Cordner (Mindconnex), and COO Dorothy Creaven (Rent the Runway), Jentic is helping enterprise AI adoption by enabling the seamless integration of existing APIs with AI agents. Jentic’s AI Readiness Scorecard comes at a critical moment. While tech giants race to build more powerful AI models, a fundamental infrastructure challenge is blocking enterprise adoption. AI agents need clear, structured information to interact reliably with business systems. Most enterprise APIs lack this. As a result, organisations spend months and significant budget on AI pilots that can't integrate with existing systems, delaying production deployments and ROI.

In an ongoing analysis of over 1,500 well-known APIs, Jentic has found repeated gaps that are blocking full AI integration, including:

• Server definitions: many APIs do not specify where they are hosted, forcing guesswork
• Authentication gaps: auth details are missing from specs, buried in human docs instead
• Invalid documents: a significant portion are not valid OpenAPI specs (broken references, malformed schemas)
• Parameter problems: missing required path parameters are common
• Example failures: examples are missing, sparse, or contradict their own schemas

Without this foundation, even the most sophisticated AI models cannot integrate safely with critical business systems.

“Existing enterprise APIs were built for humans, not for AI,” said Sean Blanchfield, CEO of Jentic. “That’s why so many organisations find themselves stuck in pilot purgatory. AI pilots work in narrow test cases, but hit a wall when it comes to real systems. It’s garbage in, garbage out: weak API foundations lead to unpredictable agents. We built the AI Readiness Scorecard to help enterprises survey their entire API estate, see exactly where the weaknesses are, and get a practical, actionable path to making them AI-ready.”

How the Scorecard works

Jentic's AI Readiness Scorecard shows companies in minutes how ready their systems are for agentic AI:

• Submit your API at jentic.com/scorecard
• Get an instant score from 0-100 analysing six critical factors, including API structure, security, and documentation quality
• Receive a detailed report identifying specific technical gaps blocking AI integration
• Get a prioritised roadmap with actionable steps to fix the issues and make your software applications and tooling AI-agent ready

The assessment is free, automated, and provides results that technical teams can act on immediately, while giving executives a clear framework to understand where their AI investments get stuck. By identifying integration barriers upfront, the Jentic AI Readiness Scorecard can cut months off deployment timelines, helping teams avoid costly trial-and-error approaches.

Assessment in action

A European national railway operator used the AI Readiness Scorecard to identify infrastructure gaps stalling their AI adoption. After implementing Jentic's recommendations, they improved their AI readiness score by 19 points, enabling a more reliable agent rollout. 

For companies ready to move beyond assessment, Jentic's full platform helps organisations make their existing APIs AI-ready without requiring costly infrastructure replacement. The platform operates at the API layer, preserving years of technology investment while enabling reliable AI agent workflows.

Jentic has assembled one of the world's leading teams in API standards and enterprise infrastructure. The company brought together Erik Wilde, a defining figure in the global API community and OpenAPI Initiative Ambassador; Frank Kilcommins, principal author of the Arazzo Specification; and key developers behind Swagger, the world's most widely used API toolset. Backed by $4.5 million in pre-seed funding and selected as the first Irish participant in the AWS Generative AI Accelerator, Jentic is building the secure, standards-based foundation for enterprise AI agent deployment.

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