---
title: 12-Month AI Roadmap for a 3-Person RA Team
description: A practical 12-month AI roadmap for small regulatory affairs teams to scale globally, reduce workload, and accelerate submissions without adding pressure.
image: https://blog.arazygroup.com/hubfs/Build-Once.-Scale-Everywhere.png
---

Open main menu Close main menu

- [Join The Regulatory Rockstar Movement](https://info.arazygroup.com/regulatory_rockstar_movement)

[Regulatory Affairs](https://blog.arazygroup.com/regulatory-affairs-advance/tag/regulatory-affairs) [Regulatory Update](https://blog.arazygroup.com/regulatory-affairs-advance/tag/regulatory-update) [RegTechAI](https://blog.arazygroup.com/regulatory-affairs-advance/tag/regtechai)

# 12-Month AI Roadmap for a 3-Person RA Team

[Benjamin Arazy](https://blog.arazygroup.com/regulatory-affairs-advance/author/benjamin-arazy)

[Share this blog post on Twitter](https://twitter.com/intent/tweet?text=I+found+this+interesting+blog+post&url=https://blog.arazygroup.com/regulatory-affairs-advance/12-month-ai-roadmap-for-a-3-person-ra-team) [Share this blog post on Facebook](http://www.facebook.com/share.php?u=https://blog.arazygroup.com/regulatory-affairs-advance/12-month-ai-roadmap-for-a-3-person-ra-team) [Share this blog post on LinkedIn](http://www.linkedin.com/shareArticle?mini=true&url=https://blog.arazygroup.com/regulatory-affairs-advance/12-month-ai-roadmap-for-a-3-person-ra-team)

![](https://blog.arazygroup.com/hubfs/Build-Once.-Scale-Everywhere.png)

***A straightforward plan for teams that want real progress, not another “AI experiment.”***

When you run a small RA team, the problem is never the people. It’s the load: too many markets, too many documents, too many deadlines.

Use case: a **3-person RA team**, Class II diagnostic software, cleared in the **U.S.** and **CE marked**, planning expansion into **10 markets in 2026** (Brazil, Japan, Korea, Saudi Arabia, China, Israel, Mexico, Canada, Australia).

A good AI roadmap doesn’t add pressure; it removes it. It provides the team with a clear structure, creates momentum, and keeps everyone focused, rather than feeling overwhelmed.

Here’s a realistic 12-month plan that works for a team of three—no drama, no unrealistic promises,  just a steady climb that pays off quickly.

**Phase 1 (Months 1–2): Set the Foundation Without Breaking Anything**

Before you bring in any serious AI, the basics need to be in order. Think of this as clearing the desk before you start building.

**1. Clean and standardize your documents**

Risk files, GSPR, labeling, IFUs, market dossiers;  everything.

One format per document type. No variations. No “old version / new version/mystery version.”

**2. Identify quick AI wins**

Not for automation;  to make life easier:

- Drafting
- Summaries
- Clarifications
- First-pass GSPR tables

These early wins help the team relax into the idea rather than feeling threatened by it.

**3. Build a small internal prompt library**

You don’t need 100 prompts. Five to ten solid ones are enough to start.

**By the end of Month 2:**

You’re comfortably operating around **Level 2**, and everyone already feels the difference.

**Phase 2 (Months 3–5): Bring AI Into the Daily RA Work**

Here, the team moves from “AI as a helper” to “AI as part of the workflow.”

**1. Automate repetitive research**

For each market:

- Requirements
- Forms
- Classifications
- Pathways

**2. Let AI set up your dossier structure**

The team still controls the content, but AI handles:

- TOC
- Mandatory items
- Missing elements
- Market-specific structure

**3. Use AI for first drafts**

Examples:

- ANVISA docs
- Saudi submissions
- Japan summaries
- Market comparisons

**4. Start tracking a few KPIs**

- Time to first draft
- Time spent researching
- Internal vs. external hours

**By Month 5:**

You’re in **Level 3**, and submissions start moving faster without the team feeling overloaded.

**Phase 3 (Months 6–8): Move Toward Full Enablement**

Now you start adding structure that will let you scale smoothly.

**1. Build your internal “single source of truth.”**

A clean, central place for:

- Product details
- Claims
- Risks
- Standards
- Labeling data
- Key technical descriptions

This is the backbone for every advanced AI capability.

**2. Connect your structured data to AI agents**

This allows AI to:

- Fill out key sections
- Suggest missing content
- Validate consistency
- Align documents across markets

**3. Use AI to compare requirements across markets**

Brazil vs. Korea

Japan vs. EU

Saudi vs. China

This becomes incredibly valuable for planning.

**4. Add timeline and fee predictions**

You suddenly know how long everything will take,  and what it will cost,  without guesswork.

**By Month 8:**

You’re working at **Level 4**, and the department feels more “in control” than ever.

**Phase 4 (Months 9–12): Build the RA Digital Twin**

This is the point at which AI stops being a tool and becomes an integral part of the infrastructure.

**1. Automate global regulatory updates**

AI can flag changes in:

- Standards
- Labeling
- Country forms
- Documentation requirements
- Risk-related updates

**2. Auto-generate change-impact assessments**

One change → immediate view of

- which markets it affects
- What documents need updates
- how significant the regulatory impact is

**3. Produce near-complete dossiers**

AI builds the structure and content.

Your team reviews, edits, and approves.

**4. Run a short AI readiness audit**

Make sure:

- Data is clean
- Workflows are aligned
- Everyone knows their role
- Nothing is being duplicated

**By Month 12:**

You’re operating at **Level 5**, or at least very close.

The team works faster, smarter, and with far less stress,  and you’ve made your 2026 budget much leaner in the process.

**Final Thoughts**

This roadmap is practical because it evolves in tandem with the team.

No one is overwhelmed. Nothing feels forced.

Each phase builds confidence, structure, and capability,  and by the time you reach the last quarter, the team is running on a system that feels natural.

 

### Leave a Comment

## Related Articles

[![](https://blog.arazygroup.com/hubfs/How%20Many%20Samples%20Do%20You%20Really%20Need.png)](https://blog.arazygroup.com/regulatory-affairs-advance/part-i-rethinking-training-data-for-regulatory-ai)

[Regulatory Affairs](https://blog.arazygroup.com/regulatory-affairs-advance/tag/regulatory-affairs) [AI](https://blog.arazygroup.com/regulatory-affairs-advance/tag/ai)

### [Part I: Rethinking Training Data for Regulatory AI](https://blog.arazygroup.com/regulatory-affairs-advance/part-i-rethinking-training-data-for-regulatory-ai)

[Benjamin Arazy](https://blog.arazygroup.com/regulatory-affairs-advance/author/benjamin-arazy) 

[Read More](https://blog.arazygroup.com/regulatory-affairs-advance/part-i-rethinking-training-data-for-regulatory-ai)

[![](https://blog.arazygroup.com/hubfs/Mastering-Regulatory-Compliance-Insights-from-Singapores-Good-Submission-Practice-Workshop-2024-Arazy-Group.png)](https://blog.arazygroup.com/regulatory-affairs-advance/regulatory-update-singapore)

[Regulatory Affairs](https://blog.arazygroup.com/regulatory-affairs-advance/tag/regulatory-affairs) [Regulatory Update](https://blog.arazygroup.com/regulatory-affairs-advance/tag/regulatory-update)

### [Regulatory Update: Singapore](https://blog.arazygroup.com/regulatory-affairs-advance/regulatory-update-singapore)

# Mastering Regulatory Compliance: Insights from Singapore’s Good Submission Practice Workshop 2024

Singapore’s Health Sciences Authority (HSA) remains at the forefront...

[Arazy Group](https://blog.arazygroup.com/regulatory-affairs-advance/author/arazy-group) 

[Read More](https://blog.arazygroup.com/regulatory-affairs-advance/regulatory-update-singapore)

[Follow us on Facebook](https://www.facebook.com/Arazygroup/) [Follow us on LinkedIn](https://www.linkedin.com/company/arazy-group) [Follow us on Instagram](https://www.instagram.com/arazy_group/)

```json
{
  "@context" : "https://schema.org",
  "@type" : "BlogPosting",
  "author" : {
    "@type" : "Person",
    "name" : "Benjamin Arazy",
    "url" : "https://blog.arazygroup.com/regulatory-affairs-advance/author/benjamin-arazy"
  },
  "dateModified" : "2025-12-18T02:10:56.237Z",
  "datePublished" : "2025-12-17T23:47:57.000Z",
  "headline" : "12-Month AI Roadmap for a 3-Person RA Team",
  "image" : [ "https://blog.arazygroup.com/hubfs/Build-Once.-Scale-Everywhere.png" ],
  "mainEntityOfPage" : {
    "@id" : "https://blog.arazygroup.com/regulatory-affairs-advance/12-month-ai-roadmap-for-a-3-person-ra-team",
    "@type" : "WebPage"
  },
  "publisher" : {
    "@type" : "Organization",
    "logo" : {
      "@type" : "ImageObject",
      "url" : "https://blog.arazygroup.com/hubfs/Arazy%20Group%20Logos%201.png"
    },
    "name" : "Arazy Group Consultants Inc."
  }
}
```