Deep analysis on AI in financial infrastructure, autonomous operations, and the future of enterprise intelligence.
Featured · Research
Why T+1 Settlement Mandates Are the Forcing Function AI Has Been Waiting For
The move to T+1 doesn't just compress the settlement window — it collapses the human reaction cycle entirely. We explore why this regulatory shift is the single biggest accelerant for agentic operations in financial services.
By Pragyon Research · March 2026 · 12 min read
Operations
The Multi-Agent Architecture Solving SWIFT Breaks at Scale
How coordinated agent meshes resolve complex settlement breaks faster than any monolithic system — without escalation to humans.
Research
Measuring STP Uplift: A 90-Day Deployment Case Study
A global custodian moved from 74% to 97.2% straight-through processing within 90 days of deploying BreakHunter. Methodology, results, and lessons learned.
Compliance
ISO 20022 Migration: What Every Operations Head Needs to Know
The SWIFT ISO 20022 migration isn't just a message format change — it's a data quality reckoning. What it means for your agents and operations.
Architecture
Designing Fault-Tolerant Agent Meshes for Mission-Critical Finance
When your agent fails at 3am on a settlement deadline, how does the mesh respond? The patterns that make multi-agent systems production-grade.
Philosophy
From Prajñā to Production: The Sanskrit Principles Behind Pragyon's Design
Why an AI company grounded in Sanskrit wisdom builds better systems. The philosophical underpinnings shaping our approach to intelligence, action, and systems.
Markets
The AI Readiness Gap in Global Custody: A 2026 Benchmark
We surveyed 40 global custodians across 22 markets. The results reveal a readiness gap that will define competitive positioning for the next decade.