Evidence-Based Scoring
Use case deep dive
10 documents
200 criteria
Verified scores
The problem with evidence-based scoring
A high-effort workflow that lacks consistency and trust
Extremely time-consuming
Weeks spent manually organizing evidence and mapping inputs to each scoring criterion.
Unreliable results
Same information assessed by different consultants leads to different scores.
Tedious to review
Sources and comments exist, but checking them is slow, manual, and inconsistent.
Unscalable process
Applying frameworks across many clients and data creates repeated manual work and is hard to scale.
You’ve tried speeding up scoring with chatbots, but nothing works.
I’ve uploaded 10 files for 5 companies.
Extract the top 5 risks per company, score each 1–5 by severity, and return a cited table with the scores.
Top risks for company 1:
1. Operational delays (5)
2. Data quality issues (4)
...
❌
Unreliable
These don’t match the files. Try again.
You're absolutely right. Updated risks:
1. Capital adequacy (4)
2. Customer churn (3)
...
❌
Unpredictable
Which page in the files are these scores based on?
I can’t access exact locations, but similar reports often mention it.
❌
Unverifiable
Could you repeat this with a new batch of files?
Let me try…
❌
Unrepeatable
Ask anything
You're not wrong, tools like chatGPT are fantastic.
But you're using a paint brush when you need a pencil.
Introducing Normain
For Evidence-Based Scoring
Normain's Extactional AI is purpose-built for extracting structured insights from unstructured input data
Reliable
Normain is specifically built to handle large volumes of messy files and produce reliable scores you can trust.
Structured
Normain generates clean, consistent score structures that export easily and fit straight into your existing templates.
Verifiable
Normain links every score to its source evidence, enabling the reasoning to be checked quickly and easily.
Repeatable
Once your framework is set up, you can reuse it continuously on new clients, units, or data sets with consistent results.
Normain completely stood out in the market for their relevance and usability. It's very intuitive, powerful, and understandable by my team—engineering is not the bottleneck
Charlie Forcey
Chief Technology Officer, Sustainability Roundtable, Inc.
10,000
Monthly insights
99%
Accuracy
10
Minute setup
50-80%
Time saved
Three steps to trusted, repeatable scoring
Upload
Sources from Google Drive,
SharePoint, and more.
Define
Scoring criteria and evidence requirements.
Extract
Extract verifiable scores backed by evidence.
See the product
Enterprise ready
SOC 2 Type II
ISO 27001
