What Happens When Insight Arrives Too Late?
When timing kills insight, data becomes powerless. In life sciences, delay doesn’t just cost time—it can cost impact. For a global provider of regulatory and commercial insights, the bottleneck wasn’t access to data—it was the time it took to turn that data into action.
What should have been an advantage was becoming a liability. Insight was being held hostage by process.
When Generative AI moved from hype to necessity, the company knew it had to modernize—not incrementally, but fundamentally. That’s where Persistent’s iAURA came in—a Generative AI orchestration layer built not just to automate, but to elevate.
From AI Curiosity to Scalable Factory: How iAURA Rewired the Reporting Model
iAURA is Persistent’s orchestration layer for enterprise-grade Generative AI. Within six months, it transformed the client’s fragmented, manual reporting pipeline into a smart, secure, repeatable system powered by multi-agent architecture and natural language workflows.
Report generation dropped from months to moments. Data mapping shrank from weeks to days. And with automated security enforcement, audit coverage rose by over 90%.
This wasn’t just an automation project. It was a rethinking of the enterprise AI operating model.
Turning the Corner: From Reporting Logjam to Responsive Intelligence
The transformation happened in two phases—each aimed at unblocking a core obstacle to scale.
Phase 1: Removing Friction from the Reporting Core
The Persistent team targeted the highest-friction steps:
- Manual template creation across multiple regulatory standards
- Time-consuming mapping of structured datasets
- Redundant formatting and localization efforts
Through a mesh of planner, retriever, and evaluator agents, iAURA replaced backend interventions with secure, prompt-based orchestration. Teams could now generate reports using natural language inputs, without writing code or waiting on deployments.
Phase 2: Reinforcing Trust and Scale with Agentic Orchestration
Speed alone wasn’t enough. The platform needed enterprise trust.
iAURA’s agent mesh included:
- Planner agents to structure workflows from user input
- Retriever agents to pull vetted data from internal systems
- Evaluator agents to check output against compliance policy
Everything ran within a gated, auditable, policy-controlled environment—making the transition from prototype to production truly enterprise-ready.
What depended on handoffs and human scripting now runs on prompt, policy, and precision.
From Proof to Performance
These weren’t pilot gains—they were production-grade outcomes. The post-implementation results spoke for themselves:
- 95% reduction in report development timelines
- 85% faster setup for data mapping workflows
- 90%+ improvement in audit readiness
- Full template reuse across countries with localized policy injection
- No delays in deployment or scaling
These weren’t isolated wins—they echoed a broader trend. According to McKinsey, Generative AI can automate up to 70% of employee time across knowledge work tasks.
Under the Hood: How Reporting Became Instant and Intelligent
Instead of static templates and manual configurations, the platform introduced a modular orchestration engine. iAURA’s architecture followed a clear, secure flow:
- Step 1: User enters request via natural language
- Step 2: Planner agent sequences the workflow
- Step 3: Retriever agent accesses enterprise data
- Step 4: Evaluator agent enforces compliance rules
- Step 5: LLM drafts the report
- Step 6: Output sent for review or auto-published
iAURA didn’t just automate a task. It created a repeatable system for delivering intelligence.
Beyond Speed: The Mindset Shift Toward Generative AI at Scale
Reporting was just the start. The real value emerged when the same orchestration mesh scaled across business functions. Once reporting was transformed, the same AI mesh began scaling across:
- Clinical trial documentation
- Market surveillance and competitor tracking
- Internal executive summaries across business units
Generative AI was no longer a siloed tool. It became a cross-enterprise capability.
Why This Worked: Persistent’s Execution Advantage
Behind every scalable AI success story is a partner who delivers more than tools—Persistent brought strategic execution at speed. It delivered:
- A six-month roadmap from PoC to full production
- <5% deviation from plan across delivery sprints
- Deep collaboration with product and compliance owners
- Enterprise-grade modular architecture built for scale
And the proof was not just in results—it was in repeatability.
From Static Documents to Smart Delivery
Today, what took quarters now takes seconds. What required engineering backlogs now runs through automated prompts. What once delayed insight now accelerates it.
iAURA changed the tempo of intelligence delivery. Persistent made it real.
Ready to Stop Waiting on Reports and Start Acting on Them?
Talk to Persistent’s Generative AI Engineering Team and transform your enterprise intelligence model—at scale, at speed, with trust.
