More Bots No Longer Mean More Automation
A leading insurer spent years building a robust automation estate where RPA bots handled thousands of routine transactions. Yet beneath the surface, automation broke down due to interconnected processes and complex business scenarios requiring judgement and coordination. High exception rates triggered repeated manual intervention, work moved through multiple cross-functional handoffs and employees burnt valuable hours resolving edge cases, reconciling information across systems and restarting workflows that the bots could not complete. .!!
The insurer had reached a familiar inflection point faced by many mature automation programs: traditional bots were highly effective at executing deterministic tasks but struggled when complexity entered the workflow. Every exception created a dependency on people, every handoff created delays and every process variation reduced automation effectiveness. Instead of scaling automation, the insurer was managing an increasingly complex bot ecosystem.
The challenge was no longer to automate more tasks. It was to redesign how work itself was performed.
Looking Beyond Bots to Redesign the Flow of Work
Rather than viewing the problem as a technology limitation, Persistent approached it as a workflow problem.
The team began by analyzing the insurer’s automation estate through the lens of how work flowed across people, processes and systems. What emerged was a pattern where several workflows had been automated exactly as they existed, preserving the same decision bottlenecks, exception paths and coordination challenges that had existed before automation. Bots had accelerated individual activities, but the underlying process architecture remained fundamentally unchanged.
Persistent recognized that scaling automation would require redesigning workflows so that digital workers could participate meaningfully in business operations, make decisions within guardrails and coordinate activities across systems and teams.
To guide this transformation, Persistent applied its Core–Context–Coordination (3C) framework.
Core: Protecting the Automation Backbone
The first step was understanding the core of each process, where the repeatable, rules-based activities were already being executed successfully through UiPath automation.
Using process documentation, bot telemetry, operational insights and workflow analysis, Persistent assessed 85 processes to determine how existing automation was performing and where value was already being created. UiPath’s RPA capabilities formed the foundation of this layer. Bots continued to execute deterministic work with speed and consistency, creating a reliable operational backbone for future transformation.
But the greatest constraints to automation existed outside the core.
Context: Extending Automation into Exception-heavy Work
Processes with the highest operational burden were failing because business conditions constantly changed. Customer scenarios differed, data arrived in unexpected formats and decisions required interpretation. Multiple systems introduced variability, which is why human intervention became the mechanism for resolving uncertainty. This represented the context layer of work, where deterministic automation historically struggled.
Persistent developed an assessment framework that evaluated business exceptions, process complexity, integration intensity, human intervention levels and task sensitivity. Rather than asking which tasks could be automated, the team asked a more important question: Which decisions could be delegated to a digital workforce?
Leveraging UiPath’s emerging agentic capabilities, Persistent identified opportunities where intelligent agents could interpret information, manage exceptions and make context-aware decisions that previously required humans. This shifted the conversation from task automation to intelligent automation.
Coordination: Turning Bots, Agents & People into One Operating Model
Many of the insurer’s operational inefficiencies did not stem from individual activities but from the spaces between bots, systems and employees through a series of manual interventions and process handoffs. These coordination gaps created delays, increased operational cost and limited automation coverage.
Instead of identifying processes for Agentic AI, Persistent redesigned workflows so that intelligent agents, traditional bots and human workers could operate as a coordinated system, where:
- UiPath bots continued handling deterministic execution
- Agentic AI managed contextual decisions and exception scenarios
- Coordinating agents orchestrated work across systems, processes and stakeholders
- Human intervention became purposeful and exception-driven rather than routine
This embedded automation in the flow of work.
From Bot Sprawl to Agentic Operations
UiPath reports that 78% of executives believe operating models must be reinvented to capture the full value of agentic automation. Using a structured funnel approach, Persistent narrowed 85 processes to 18 opportunities and ultimately identified the five highest-value candidates for agentic transformation. More importantly, we demonstrated how process redesign combined with coordinated automation could unlock value that traditional RPA alone could not achieve.
| Proof-point | Why it matters |
| 85 processes assessed → 18 shortlisted → Top 5 prioritized | Turns bot rationalization into a structured, evidence-led transformation funnel |
| Automation coverage targeted to rise from 30% to 60% | Doubles the share of work that can move from deterministic execution to agentic automation |
| $20,000–30,000 annual savings per process | Creates a measurable business case for scaling beyond isolated automation fixes |
Building Digital Workforce, Not Bot Estate
For the insurer, the transformation was never about replacing bots with agents. It was about redesigning work so that each element, be it bots, agents or people, could contribute where it creates the greatest value.
By applying the 3C framework and leveraging UiPath as the execution and orchestration platform, Persistent helped the client move beyond the limits of traditional automation, away from fragmented, exception-heavy workflows to coordinated agentic operations capable of scaling with the complexity of modern insurance processes. The program demonstrated a broader truth: the future of enterprise automation will not be defined by how many bots an organization deploys, but by how effectively it redesigns work to enable an intelligent, coordinated and increasingly autonomous digital workforce.
