Introducing Function Review: From Black Box to Glass Box for Production AI

Function Review is our answer to the biggest challenge while deploying AI within an enterprise: trust. It moves the conversation from "is the AI magic?" to "can I measure, manage, and guarantee its performance?" Function review directly supports our existing core primitives Join, Transform, Split, Analyze, Route, and Evals for any unstructured data input.

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🧠 The Why: From “Black Box” to Measurable Confidence

Enterprises need to take advantage of what AI can offer to stay ahead — but they rarely trust it enough to automate critical operations. Traditional models often operate like black boxes, leaving teams guessing: Is it accurate enough? Can we rely on it in production?

Function Review changes that instantly.

It brings transparency and control to your AI functions, moving the conversation from “is the AI magic?” to “can I measure, manage, and guarantee its performance?”

Function Review builds on bem’s core mission: creating the modular AI enterprise system to validate hot-path unstructured data (extractions -> workflows), automating critical operations, and guaranteeing accuracy in production.

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⚙️ The Function Review Journey

Here’s how Function Review fits seamlessly into your workflow — turning every function into a transparent, testable component you can trust:

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1. Start with a Function.

‍You begin with a function that processes raw, unstructured data — just like any other module in bem. It connects naturally with our other primitives across your pipeline.

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Dataset overview in bem (above and below)

2. Provide a Few Corrections.

‍You don’t need a massive dataset to get insights. Simply provide a handful of corrections or labeled examples — the system learns from your feedback instantly.

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3. Instant Statistical Feedback.

‍Function Review immediately shows your model’s statistical performance — precision, recall, accuracy, and more — all derived from your real-world data.

Model performance metrics in bem

Field-level performance metrics in bem

4. Threshold Analysis: Simulate Performance in Production.

‍Ask “What if?” and get concrete answers.

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For example: If I set my confidence threshold to 80% for automation, what would my accuracy and false positive rate have been on my labeled data?

Function Review visualizes this trade-off instantly, so you can set smart automation policies with real confidence.

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Threshold analysis in bem

5. Know Exactly What You Need Next.

‍Function Review doesn’t just tell you how you’re doing — it tells you how to improve.

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You’ll see how many more samples you need to label to reach your statistical goals, enabling truly data-driven iteration.

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💼 The Business Impact: Measurable ROI Through Trust

Function Review isn’t just a technical upgrade — it’s a trust accelerator for enterprise AI.

By quantifying performance and making accuracy auditable, teams can now:

• Confidently automate tasks where the data supports it.
• Retain human review where uncertainty remains high.
• Continuously optimize the balance between speed, cost, and accuracy.

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The result:

‍✅ Fewer false positives

✅ Lower manual review costs

✅ Higher operational confidence

✅ Faster, safer deployment cycles

In short — Function Review empowers teams to make data-driven decisions about automation, guaranteeing accuracy and building trust across the enterprise.

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🌟 Available Now

Function Review is available today for all bem enterprise customers. Log in to explore the feature, or schedule a demo to see how bem provides the confidence to deploy AI in production — with metrics you can trust.

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Read our Function Review Docs

Access them here.

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