The AI landscape doesn't move in one direction — it lurches. Some techniques leap from experiment to table stakes in a single quarter; others stall against regulatory walls, technical ceilings, or organisational inertia that no amount of hype can dislodge. Knowing which is which is the hard part. The State of Play cuts through the noise with a rigorously maintained index of AI techniques across every major business domain — classified by maturity, evidenced by real-world adoption, and updated daily so you always know where you stand relative to the field. Stop guessing. Start knowing.
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AI that automates the preparation and formatting of regulatory filings and compliance reports. Includes form population and submission preparation; distinct from financial reporting which targets investor rather than regulatory audiences.
Regulatory filing automation has matured into a leading-edge practice with proven capabilities and widening deployment, yet governance maturity remains the binding constraint. Sophisticated deployers — large financial institutions, MedTech companies with global portfolios, cloud-native asset managers — demonstrate substantial efficiency gains (50–80% reduction in filing effort, 60–98% improvement in first-cycle acceptance rates). The technology works. What limits broader adoption is not tooling immaturity but organisational readiness: data quality, governance frameworks, regulatory compliance of the automation itself, and staff capacity to manage agentic systems with 70–85% success rates without strict controls.
This is the defining tension of leading-edge: the practice is production-ready and actively advancing (agentic AI now automating complex regulatory narratives, cloud platforms enabling straight-through reporting, regulators actively designing integration-friendly schemas), yet 80% of organisations still rely primarily on manual processes. Governance gaps — inadequate AI risk review (39% of firms), uncontrolled automation leading to FDA enforcement (April 2026), and fragmented state AI regulation (Colorado AI Act June 2026) — are the real barriers.
The vendor ecosystem is consolidating around agentic AI platforms. Regnology completed acquisitions of Moody's Regulatory Reporting & ALM (May 5, 2026) and Wolters Kluwer's Finance, Risk & Regulatory Reporting business (May 25, 2026), spanning 30 countries and 2,000+ employees. Regnology released its Ascend platform (April 29, 2026) with embedded AI agents automating data collection, validation, and workflow execution. Automation Anywhere reports 655K agents deployed globally with KPMG identifying $150M automation opportunities; Thomson Reuters launched agentic AI for tax preparation with AI adoption in accounting firms jumping from 9% to 41%, delivering 70% time reduction and 90% fewer errors. Market sizing: regulatory reporting automation market stands at $3.9B (2025), projected $15.12B by 2035 (14.5% CAGR); AI in Regulatory Affairs $1.60B (2025) expanding to $4.47B (2031) at 18.65% CAGR; AI in RIM $0.95B (2025) to $2.62B (2031) at 18.35% CAGR.
Pharma and MedTech deployments demonstrate production-grade capability. European pharma firms deployed agentic CTD module agents autonomously drafting Clinical Overview, Safety, and Efficacy summaries from clinical study reports with independent validator subagents. Philips Healthcare's Rimsys deployment (July 2022) scaled active product registrations 20×, user adoption doubled in 6 months, now rolling out AI-assisted submissions and regulatory intelligence. Mid-pharma achieved 73% compliance processing time reduction and first-cycle NDA acceptance improved from 73% to 98%. Weave Bio and Parexel demonstrated 60% faster NDA preparation cycles. Agentic AI systems are automating pharmaceutical dossier sections with 60-80% time reduction and 20-40% defect reduction through RAG-based content generation and semantic validation.
Cloud-native and straight-through reporting is standard among large institutions. 80% of Regnology clients now on cloud infrastructure; KfW Bankengruppe and W&W Group (€72B+ assets each) completed migrations. Financial services deployments show 60-70% effort reduction in compliance reporting (Indian banking case study) and 73% processing time improvement in asset management workflows. Asset managers facing Q2 2026 Form PF deadline are transitioning to autonomous filing agents executing submissions end-to-end. Regulatory infrastructure is enabling automation: Japan mandated eCTD 4.0 effective April 2026; SEC/CFTC jointly modernized Form PF schemas to facilitate software integration; India's MCA21 Version 3 introduces straight-through processing for corporate filings. FDA deployed agentic AI 'Elsa' in June 2025; 80% of top pharma companies adopting AI in regulatory affairs.
Yet governance maturity is the binding constraint. Software Improvement Group analysis of 88% of FSI organizations using AI found 57% cite non-compliance with AI regulations as top risk, only 29% have formal oversight of AI-generated code, and 72% of systems score below quality thresholds. Late-April 2026 AscentAI survey: 16% at Advanced automation maturity; 80% still rely primarily on manual processes despite 59% using AI. Only 6% of finance leaders have advanced implementation despite 76% planning investment; 37% cite governance as primary barrier and 39% lack formal AI risk review. Critical failure signal: FDA Warning 320-26-58 (April 2026) against pharmaceutical firm using AI to generate CGMP documentation without Quality Unit review resulted in product adulteration and enforcement. Agentic systems face 70-85% success rates without strict constraints. Colorado's AI Act (June 2026) requires pre-use notices for high-risk AI, extending compliance scope to automation initiatives themselves. CFTC fines exceeding $50M for swap reporting failures underscore enforcement cost of filing errors, but governance challenges — not technical barriers — remain the binding constraint to broader adoption.
— FDA Warning 320-26-58 (April 2026) established that AI-generated regulatory documents require qualified human review and documented approval before entering quality systems—critical governance boundary for regulatory filing automation deployment.
— Indian private sector bank automated RBI, SEBI, IRDAI regulatory reporting with AI narrative drafting; 60-70% reduction in compliance team effort with immutable audit trails and 5-day regulatory change deployment.
— Philips Healthcare deployed Rimsys RIM platform in July 2022 managing 250+ country regulatory portfolios; active product registrations scaled 20×, user adoption doubled in 6 months, now rolling out AI-assisted submissions and regulatory intelligence modules.
— Market sizing: AI in regulatory affairs ~$16B (2024) projected $36.33B (2034) at 8.55% CAGR; 80% of top pharma companies adopting AI; LLM-generated clinical summaries match physician-written versions 28× faster. FDA deployed agentic AI 'Elsa' in June 2025.
— SIG analysis of 88% of FSI organizations using AI: 57% cite non-compliance with AI regulations as top risk; only 29% have formal oversight of AI-generated outputs; 72% of AI systems score below quality threshold, critical for regulatory filing governance assessment.
— Detailed technical analysis documents AI automation across pharma registration modules: Module 1 from 5-7 days to 2-4 hours, Module 2 from 15-20 days to 2-3 days; vendors (Veeva, IQVIA, ArisGlobal, Ennov) integrated AI by 2024-2025 with 20-40% defect reduction.
— W&W Group (€72.3B assets, 13k employees) migrated on-premise regulatory reporting to cloud-native automation across comprehensive regulatory scope (own funds, liquidity, Pillar 3, EMIR, MiFIR, SFTR, MMSR). Over 50% of Regnology clients transitioning to cloud with 80% expected by Q2 2026.
— Regnology acquired Wolters Kluwer's Finance, Risk & Regulatory Reporting business, integrating OneSumX for Finance and Risk with advanced automation and AI-driven insights. Consolidation spans 30 countries and 2,000+ employees, signaling market maturity and continued vendor investment.