Agentic Minds

Inspiration

Finance, Risk, and Regulatory teams often manage critical control incidents across emails, spreadsheets, tickets, dashboards, and manual approvals. Even when organizations have strong data platforms and governance frameworks, incident handling can still be fragmented: teams spend too much time identifying severity, finding root cause, collecting evidence, approving remediation, validating fixes, and preparing audit-ready closure evidence.

We built Agentic Minds - Finance & Risk Control Tower to show how UiPath can create one governed, agentic lifecycle for these incidents.

What it does

The solution manages a finance/risk incident from intake to governed closure.

It uses a UiPath Maestro Flow called IncidentLifecycle to coordinate:

RPA workflows for data collection, detection, remediation, and validation
UiPath Agents for triage, investigation, impact assessment, recommendations, validation interpretation, and governance checks
Action Center for human approvals, risk acceptance, and exception review
Data Fabric design artifacts for incident, decision, remediation, validation, governance, and audit evidence records
A Control Tower dashboard concept for operational visibility

The journey is:

Intake → Normalize → Collect Evidence → Detect → Triage → Investigate → Assess Impact → Recommend → Approve → Remediate → Validate → Govern → Close

How we built it

The project is built using UiPath technologies only.

Core components include:

UiPath Maestro Flow for the end-to-end IncidentLifecycle orchestration
6 UiPath Agents:
- Triage Agent
- Investigation Agent
- Impact Assessment Agent
- Recommendation Agent
- Validation Agent
- Governance Agent
4 UiPath RPA processes:
- data-collection
- detection
- remediation
- validation
UiPath Action Center for three human-in-the-loop checkpoints:
- Escalated Incident Review
- Remediation Approval
- Validation Exception Review
UiPath Data Fabric model for audit-ready incident lifecycle records
UiPath Apps / Coded App dashboard for the control tower experience
UiPath Orchestrator and Cloud Robots - Serverless for deployment and execution

The RPA processes were made serverless-compatible using the Portable target framework, so the solution does not depend on an unattended machine setup.

What makes it useful

The solution keeps humans in control where risk decisions matter, while automating repetitive and evidence-heavy work.

Key benefits:

Faster incident triage and resolution
Consistent severity, SLA, ownership, and regulatory-impact classification
Reduced manual evidence gathering and root-cause analysis effort
Auditable remediation approval and risk acceptance decisions
Automated remediation and validation workflows
Governance-ready closure evidence
Better visibility across Finance, Risk, Data, Operations, and Internal Audit teams

Challenges we faced

The biggest challenge was connecting multiple UiPath capabilities into one coherent lifecycle rather than building isolated automations. The Flow needed to coordinate agents, RPA processes, decision branches, and human tasks in a way that was understandable for both business users and technical reviewers.

We also worked through practical deployment considerations, including:

Making RPA processes compatible with serverless execution
Configuring Action Center human-in-the-loop tasks
Designing clear approval values for Flow routing
Keeping the Studio Web Flow, local solution package, and Orchestrator deployment aligned
Building documentation and diagrams that explain the solution clearly to a business audience

What we learned

We learned that agentic automation is most valuable when it is not just “AI answering questions,” but when it is embedded into a governed business process.

In this project:

Agents reason over incidents and produce structured outputs
RPA handles deterministic execution
Action Center preserves human accountability
Data Fabric provides the audit model
Maestro Flow ties everything together into one lifecycle

This combination makes the solution practical for enterprise risk and control use cases.

What's next

Future enhancements could include:

Event-based incident intake from production systems
Role-based Action Center routing by severity, domain, or control owner
Richer remediation action catalogs
SLA timers and escalation notifications
Full Data Fabric deployment automation
Test Manager coverage for every process branch
Production dashboard deployment
Integration with enterprise incident, data quality, and regulatory reporting platforms