How should we scope initial RPA pilots in insurance and address change management?

[Ethan.W]

I'm an operations manager at a mid-sized insurance firm, and we're exploring Robotic Process Automation to handle the high volume of repetitive data entry and claims form processing that's bogging down my team. I've seen demos from a few vendors, but I'm struggling to build a business case by accurately identifying which processes are truly good candidates for automation versus those that are deceptively complex. For teams that have successfully implemented RPA, what was your process for selecting and scoping your initial pilot projects, and how did you manage the change management aspect with employees who were concerned about job security? I'm also curious about the long-term maintenance burden and whether building an internal capability with tools like UiPath is better than outsourcing to a consultancy for our first foray.

[OliviaYM]

You're not alone. Start with a single pilot on a high-volume, rule-based task like claims form data extraction or policy updates. Map the current cycle time and error rate, estimate person-hours, and set a target ROI. Keep scope tight and a fallback plan if it under delivers.

[NatalieS]

Scoping rubric: 1) volume and repetition, 2) data consistency, 3) straight-through process vs heavy exceptions, 4) regulatory constraints, 5) potential for reuse elsewhere. Score each process 1–5 and pick the top 1–2. Build a 4–6 week proof of value with a sandbox bot and a simple KPI set (time saved, error rate, handoff time).

[AbigailW]

How you handle people matters almost as much as the bot. Start with transparent communication: 'automation as teammate, not replacement', then offer upskilling (rule-based automation, exception handling, bot monitoring). Create a change network or 'automation champions' in each team; run Q&A sessions; provide reassignment paths and early wins to build trust. Provide ongoing reassurance about job security.

[Luke76]

Maintenance burden is real. Set up a small governance group, document runbooks, and decide on a platform strategy (internal vs outsourced). A pragmatic path is a hybrid: run a pilot with a consultancy to get value quickly, then move to internal capability with training and a Center of Excellence; ensure you have a security plan and audit trails; invest in monitoring dashboards and a clear upgrade path.

[JerryR]

One more thing: have you considered the data quality aspect and the integration with legacy systems? Also, are you targeting particular modules (claims intake, policy admin) first? Interested in hearing your current pain points and what constraints you face (IT approval, data access, etc.).