Payroll Investigation Pilot
Reduce evidence review in high-stakes payroll investigations with versioned case memos that preserve understanding across updates and maintain full auditability.
Verification is the Bottleneck
As AI improves, teams still spend time re-deriving truth and re-checking evidence because mistakes are rare but costly.
Payroll investigations (e.g., "employee did not get paid") are high-stakes and time-sensitive: missed details can result in compliance violations and employee impact.
Investigators open large portions of evidence (attachments, payroll records, policy docs) to bound risk, but review effort scales with volume.
When new evidence arrives mid-investigation, teams re-summarize and re-check from scratch, slowing resolution and increasing rework.
Current Bottleneck
Investigators perform manual evidence gathering across payroll systems, tickets, and records. Each update requires re-checking from scratch, and audit trails are fragmented.
Atlas Solution
Atlas maintains a versioned investigation memo with facts, evidence citations, contradictions, and the smallest must-verify evidence set. Investigators resolve faster with a complete, auditable record.
Security & Data Governance
This pilot is designed to align with a joint legal/security/procurement framework before touching critical workflows.
Pilot guardrails (default)
- Read-only pilot on historical cases (no production actions)
- No training on Rippling data; configurable retention/deletion
- Role-based access; audit logs for every access and export
- Option to run on a customer-approved LLM provider (e.g., Bedrock/Vertex/Azure OpenAI) depending on Rippling’s preference
We can tailor controls to Rippling’s internal AI pilot review process; the pilot does not require deep integration.
Pilot Overview
3 weeks to validate review reduction with guardrails
Atlas does not replace existing tooling. It ingests a case packet export and returns a versioned case memo your team can use in the same workflow.
Investigation Packet Input
Versioned Investigation Memo
Must-Verify Evidence Set
Select a recurring case type (e.g., “employee didn’t get paid” investigations).
Provide 25–50 historical cases (ticket thread + attachments + relevant exports/policies).
Atlas generates: facts ledger, contradictions/gaps, must-verify checklist, and change log.
Reviewers use Atlas outputs to reduce how much they open while maintaining correctness.
We measure time-to-resolution and review coverage; if metrics don’t improve, we kill the pilot.
Metrics Tracked
Primary: review effort reduction with preserved correctness
Time-to-Resolution
Median time to reach a confident decision on a case.
Baseline
Current baseline (Rippling-owned)
Target
≥30% faster
Review Coverage
% of items opened (attachments, record exports, long threads).
“Item” is a unit Rippling already counts (attachment opened, record export viewed, etc.).
Baseline
Current baseline
Target
≥40% fewer items opened
Escalation Rate
Cases escalated due to uncertainty/rework after initial decision.
Baseline
Current baseline
Target
Meaningful reduction
Week-by-Week Structure
3 weeks to decision
Setup + Definitions
- Pick one case type and define “item opened” + “resolved” + “escalated”
- Agree on pilot guardrails and data handling
- Define export format for case packets (ticket + attachments + relevant exports)
Output: Signed-off pilot plan + data schema
Baseline + First Run
- Run Atlas on first batch of historical investigations
- Generate versioned investigation memos + must-verify evidence sets
- Compare review coverage and time-to-resolution vs baseline
Output: First-run metrics + investigation memo examples
Iteration + Second Run
- Incorporate reviewer feedback (what was missing / misleading)
- Run on second batch or inject “case updates” to test change logs
Output: Delta metrics + updated artifacts
Results + Go/No-Go
- Compile report, identify best-fit teams, define next scope if positive
Output: Go / no-go decision + rollout plan
Cost & Engagement
3-week pilot investment
Includes
- Pilot setup + investigation packet schema alignment
- Versioned investigation memo + must-verify evidence set generation
- Evidence review coverage + time-to-resolution instrumentation
- Change log evaluation (investigation update injection or second batch)
- Security/retention configuration + LLM provider options
- Weekly review + iteration loop with investigation team
- Final report + go/no-go recommendation + auditability assessment