Our agents are trained on ICH guidelines (E3, E6 R2/R3, E8, M4), FDA guidance documents (21 CFR Parts 11, 820, 880, 801), EMA regulatory frameworks, ISO 13485:2016, ISO 14971, EU MDR 2017/745, and country-specific requirements for USA, UK, EU, Australia, Canada, and Singapore. Knowledge bases are updated continuously as guidance documents are revised.
Multi-Agent AI Solutions
Multi-Agent AI for Regulated Document Generation
Clinical Trials, Regulatory Filings, Compliance Dossiers — Generated in Hours, Not Months
We architect multi-agent AI orchestrators that draft, cross-reference, and manage complex regulated documents — from clinical trial protocols to medical device submissions — with built-in compliance guardrails.
FDA, EMA & ICH-ready
21 CFR Part 11 compliant
Full audit trail
ailoitte-orchestrator — clinical-trial-protocol-v1
LIVE
Document Preview
GENERATING
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Pages
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Compliant
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Generated in
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Output
As Seen In
ANI NewsAsia's Leading Wire
Y!
Yahoo FinanceGlobal Business
PTIPress Trust of India
BS
Business StandardIndia's Benchmark
Tribune IndiaSince 1881
Business TodayIndia Business
The WireInvestigative Media
The HinduSince 1878
India TodayNation's Newsroom
ANI NewsAsia's Leading Wire
Y!
Yahoo FinanceGlobal Business
PTIPress Trust of India
BS
Business StandardIndia's Benchmark
Tribune IndiaSince 1881
Business TodayIndia Business
The WireInvestigative Media
The HinduSince 1878
India TodayNation's Newsroom
Measured Impact
The Numbers Behind the Shift
Real outcomes from multi-agent orchestration replacing months of manual regulatory authoring with hours of orchestrated intelligence.
10×
Faster first-draft generation vs manual regulatory writers
98.7%
Compliance accuracy on structured document validation checks
60%
Reduction in senior regulatory writer time spent on drafting
<5%
Revision rate on generated documents vs 30%+ manual baseline
The Real Problem
The Hidden Cost of Manual Regulatory Authoring
Every week your regulatory documents sit in a queue is a week your product stays off the market. Manual authoring is the bottleneck nobody is solving — until now.
Months of Bottlenecked Writing
Expert regulatory writers are scarce, expensive, and overwhelmed. A single IND application can take 6–9 months of cross-team coordination — with half that time spent on drafting, not strategy.
Error-Prone Cross-Referencing
Inconsistencies between modules, study reports, and device dossiers trigger FDA/EMA information requests — stalling approvals for months and forcing expensive rework cycles.
Version Control Nightmares
Managing document versions across sponsors, CROs, and regulatory bodies creates audit chaos. One outdated cross-reference can invalidate an entire submission package.
Every Delay Has a Price Tag
For a blockbuster drug, each week of regulatory delay can cost $5–10M in lost revenue. Manual authoring is a compounding financial liability your competitors are solving with AI right now.
Our Architecture
Orchestrated AI That Knows Regulatory Rules
Our multi-agent architecture deploys specialist AI agents that each master one regulatory domain — then collaborate to produce complete, cross-referenced document packages built to FDA, EMA, and ICH standards.
01
Specialist Agents, Not Generic AI
Each agent is purpose-built for a specific regulatory function — protocol drafting, cross-referencing, compliance validation, evidence synthesis. Specialists consistently outperform generalists in structured, rule-bound domains.
02
Built-In Regulatory Knowledge Bases
Agents are trained on ICH guidelines, FDA guidance documents, EMA requirements, ISO 14971, and 21 CFR Part 820/880 — so every generated clause is grounded in current regulatory standards.
03
Automatic Cross-Document Consistency
The orchestrator ensures every claim, data reference, and terminology choice is consistent across all modules — eliminating the primary cause of FDA information requests.
04
Human-in-Loop Review Checkpoints
Critical decision points route to your regulatory experts for review and sign-off. AI generates, humans validate. The result: 10× faster drafting with full expert accountability.
05
Complete 21 CFR Part 11 Audit Trail
Every agent action, document version, and review decision is logged with timestamps, user identifiers, and change rationale — meeting electronic records requirements out of the box.
System Architecture
Orchestrator Layer
Master OrchestratorTask SchedulerContext Manager
Specialist Agents
Protocol DrafterCross-Ref EngineCompliance GuardEvidence SynthFormat Validator
Regulatory Knowledge Bases
ICH E3/E6/E8FDA GuidanceEMA RequirementsISO 1497121 CFR 820
Document Output
Complete PackagesAudit TrailVersion ControlCompliance Report
Use Cases
Every Regulated Document Category, Covered
From first-in-human trials to post-market surveillance, our multi-agent systems handle the full spectrum of regulated document types your team produces.
Clinical Trial Document Automation
From Phase I dose-escalation protocols to final Clinical Study Reports, our agents draft, cross-reference, and validate every document in the clinical trial master file — aligned to ICH E6(R3) and your sponsor SOPs.
Clinical Trial Protocols
IND Applications
Investigator Brochures
Study Reports
SAPs
Typical Outcomes — CLINICAL
6-9Months
Prep time reduction
300+Pages
Average submission size
99.1%Score
First-pass compliance
7Modules
Automated sections
How We Build It
From Audit to Autonomous — In 6 Weeks
Our implementation methodology is designed for regulated environments where every system change requires validation. We move fast without compromising your compliance posture.
01
Regulatory Document Audit
We map your complete document landscape — types, volumes, regulatory targets, and pain points. This becomes the blueprint for your agent architecture.
02
Agent Architecture Design
We design specialist agents for each document type, define their regulatory knowledge domains, and architect the orchestration layer.
03
Knowledge Base Integration
We integrate ICH, FDA, and EMA guidance alongside your company templates, SOPs, and approved terminology — grounding agents in your context.
04
Build & Test against Real Subs
We build the orchestrator and test it against real anonymised previous submissions, iterating until compliance benchmarks are exceeded.
05
Pilot with Human-in-Loop
Your first live documents run with parallel human review. Feedback loops improve performance. Your team gains confidence before full delegation.
06
Scale & Maintain
As regulatory guidelines evolve, your knowledge bases update automatically. New document types are added as needed via our Velocity Pods model.
Before & After
What Changes When AI Writes the Draft
The same regulatory expertise. The same compliance standards. Radically different economics and timelines.
| Dimension | Manual Authoring | Ailoitte Multi-Agent AI |
|---|---|---|
| First draft timeline | 6–18 months (IND / NDA) | Hours to days |
| Writers required | 3–8 senior writers | 1 reviewer for sign-off |
| Consistency | Manual checks, 30%+ error rate | Automated — 98.7% accurate |
| Info Requests (FDA/EMA) | Frequent, triggered by errors | Dramatically reduced |
| Cost per submission | $150K–$400K in writing | Up to 10× reduction |
Who We Serve
Built for Every Regulated Industry
Ph
Pharma Sponsors
IND / NDA applications, clinical protocols
CR
CROs
High-volume protocol and report generation
MD
MedTech Companies
510(k), PMA, CE Mark, and risk files
Bx
Biotech Startups
First-in-class subs without huge headcount
Rc
Reg Consultancies
Scale capacity and deliver faster
Why Ailoitte
AI-Native Engineering Meets Regulatory Depth
We are not a regulatory consulting firm that bolted on AI. We are an AI-native product engineering company that deeply understands what regulated document generation actually requires.
AI Velocity Pods Delivery
Our delivery model delivers 5× faster than traditional development — with specialist ML engineers and regulatory AI architects embedded in every sprint.
Compliance-First Architecture
Every system we build has compliance guardrails baked in — not bolted on. 21 CFR Part 11 and full audit trails are defaults, not options.
Global Regulatory Coverage
USA (FDA), EU (EMA), UK (MHRA), Australia (TGA), Canada — our knowledge bases cover the major global regulatory frameworks.
ISO 27001 & 9001 Certified
Ailoitte holds ISO 27001:2013 and ISO 9001:2015 certifications — the baseline your compliance team will require before onboarding any partner.
Outcome-Based Engagement
We do not bill by the hour. We deliver outcomes: a working multi-agent system that generates your documents at the quality level you need.
100+ AI Products Shipped
Across 22+ countries and $193M+ in client funding raised, we have shipped production AI systems in highly regulated environments globally.
Everything Your Regulatory Team Will Ask
Compliance accuracy comes from three layers: (1) Regulatory knowledge bases drawn only from verified guidance; (2) The Compliance Sentinel agent dedicated to cross-checking every generated clause; (3) Human-in-loop review checkpoints. We target 98%+ compliance scores on structured validation checks.
Yes. We build integration layers for Veeva Vault, MasterControl, Documentum, SharePoint (21 CFR Part 11 mode), and custom eTMF platforms. Documents can be generated and pushed directly into your DMS with metadata tagging and approval workflows intact.
For a focused deployment targeting one document type, we typically deliver a working pilot in 4–6 weeks. A full suite covering multiple document types takes 10–16 weeks including regulatory audit, agent architecture design, knowledge base integration, build, testing, and pilot phase.
Human oversight is built into the workflow architecture. Specific decision points — primary endpoints, risk classifications, assumption checks — require explicit human review and sign-off before the orchestrator can proceed. This keeps experts in control of judgment while offloading drafting.
21 CFR Part 11 compliance is a core design requirement, not an add-on. Every document generation event is logged with timestamped audit trail, unique user identifiers, system-generated sequence numbers, and change rationale fields. We provide IQ/OQ documentation to support your validation.
This is where ROI is most dramatic. Small biotechs can use multi-agent AI to punch above their weight — producing submission-quality documents without a massive writer headcount. Your regulatory lead focuses on strategy, while agents handle the drafting and cross-referencing.
Four differences: (1) Regulatory grounding via verified guidance, not general data. (2) Multi-agent coordination for cross-document consistency. (3) Dedicated compliance validation agents. (4) Full 21 CFR Part 11 audit trails. These are specialized engineering systems, not generic chat interfaces.
Get Started
Ready to Accelerate Your Regulatory Pipeline?
Join pharma companies, CROs, and medtech firms that are rewriting the economics of regulatory submission — without compromising compliance. Start with a free document landscape audit.
No commitment required. We will map your landscape and show the ROI. Questions? Talk to our team.
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