Introducing ARIA: AI for Regulatory Intelligence & Authoring, our new AI agent, built on everything you already know from NuMantra.
November 11, 2026
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The FDA began supporting eCTD v4.0 forward compatibility on October 16, 2026, and will begin rejecting submissions that fail specified high-severity eCTD v3.2.2 and v4.0 validations on January 16, 2027 [1]. For a VP of Regulatory Affairs, that makes the choice of publishing and authoring platform a deadline-driven decision rather than a routine renewal. Most evaluations still run on demos, reference calls, and a feature checklist that every vendor can satisfy on paper. This article offers a 12-criterion scorecard that moves the conversation from claims to evidence: validation depth, eCTD 4.0 readiness, Part 11 controls, authoring automation, integration fit, and total cost. You will leave with a weighting method, a set of questions to put to every vendor, and a pilot design that tests a platform against your own submission.
Evaluations of eCTD software tend to fail in one of three ways. They drag on because no one agreed on criteria before the first demo. They default to the incumbent because switching cost is visible while the cost of staying is not. Or they get decided on the strength of the most polished presentation rather than the most defensible evidence.
The regulatory stakes make this expensive. A technical rejection is not a scientific finding, but it still delays the start of review and consumes the same team that is already stretched across the next filing. The FDA’s published validation criteria and eCTD technical specifications define what a submission has to satisfy to be accepted for processing [2][3]. Forward compatibility with v4.0 does not by itself guarantee a valid submission without rigorous rule verification [1].
The diagnostic question for any regulatory leader is this: if your current platform and your shortlisted platform each received the same submission tomorrow, could you show, with evidence, which one catches more defects before the gateway does? A scorecard exists to answer that question without relying on anyone’s marketing.
💡 NOTE: The operational risk. Teams often discover the weakness in a validation tool at the worst moment, during final compile, when a rule they assumed was covered is not. Scoring validation depth before purchase moves that discovery to a period when it costs nothing.
Before scoring any vendor, do three things.
🔹 Group A: Validation and Standards Readiness
🔹 Group B: Compliance and Security
🔹 Group C: Authoring and Automation
🔹 Group D: Fit and Cost
💡 NOTE: The NuMantra perspective. Criteria 1, 3, and 5 are the ones most often reduced to a yes in a vendor questionnaire. We suggest asking for the evidence behind each yes: a rule list, a dated v4.0 statement, and a Part 11 control matrix. Vendors with substance tend to welcome the request.
The scorecard also surfaces a structural difference between traditional and AI-native approaches.
ARIA, NuMantra’s AI Regulatory Intelligence and Authoring platform, is built around five capabilities (Author, Classify, Validate, Publish, Track) on a Knowledge Backbone that connects source data, generated narratives, submissions, and guidance in one queryable layer. Score it against the same 12 criteria as every other vendor.
💡 NOTE: Where the time goes. In many evaluations, the hours are not lost to compiling the package. They are lost reconciling source data against narratives and chasing broken cross-references after the fact. Scoring criteria 2, 6, and 8 directly targets that effort.
🔹 Practices That Hold Up
🔹 Pitfalls to Avoid
Consider a mid-size oncology biotech preparing an NDA with a large Module 3 and a stability package drawn from several CDMO reports. The regulatory operations director shortlists three platforms and assigns weights, giving the heaviest to validation coverage, traceability, and integration with the company’s existing document system.
Rather than rely on demos, the team picks one real submission component, a Module 3 drug product section with its stability tables, and gives the same inputs to each vendor. They score what happens at each step: how the raw files are parsed, how documents are classified, what the validation step flags, and how long reviewers need to confirm or correct the output. Because every draft requires human sign-off, they also record how easy it is for a reviewer to follow a statement back to its source.
The result is a scored sheet with evidence attached to each number. The decision no longer turns on who presented best. It turns on observed behavior against the team’s own weighted priorities, and the sheet can be shown to leadership and quality as the basis for the choice.
🔹 Days 1 to 30: Define
Many teams use this period to agree the 12 criteria and weights, name the evaluation committee (regulatory, quality, IT), and select the pilot content. They also document the current platform’s performance against the same sheet, which sets a fair baseline.
🔹 Days 31 to 60: Evidence
A common approach is to issue the written questions for criteria 1, 3, 5, and 7, review the responses against the sheet, and run the pilot on the chosen submission component. Results are scored by at least two reviewers independently to limit bias.
🔹 Days 61 to 90: Decide
Teams often finish by modeling total cost for criterion 12, including validation and transition effort, reconciling the scores, and presenting a recommendation with the evidence attached. If a move is chosen, many sponsors phase it, starting with new submissions while legacy content stays where it is.
With the FDA’s forward compatibility already live and a firm validation rejection date set for January 16, 2027, a structured evaluation is more useful than a longer one [1]. The 12 criteria above convert a subjective vendor comparison into a weighted, evidence-based decision that you can defend to leadership, quality, and inspectors.
The fastest way to apply the scorecard is to test it. Book a 15-minute ARIA live demo and bring your own scorecard. We will walk through ARIA against your highest-weighted criteria, from pre-compile validation to source-linked Module 3 drafting, so you can score it on the same sheet as everyone else on your shortlist. You can also ask about a pilot evaluation on one of your own submissions.
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