Operations · Audit & QA
Samso Managed Services · Last Updated · Apr 2026
Audit & QA Automation
Sampling, scoring, and exception detection over the operational volumes your team can't review by hand. Every cycle, a small set of true exceptions lands in the right owner's queue - defensible, auditable, on time.
What the managed workflow does
Samples by stratified rules
Vendor × amount × entity × period. Sample size sized to your confidence interval, not picked arbitrarily.
Scores against your playbook
Pass / Review / Fail / Hold against rules your team wrote - not a generic library. Each rule is testable and versioned.
Surfaces only the exceptions
Clean rows go to the audit log silently. Anything Review or worse routes to the owner with the rationale and the source row attached.
Trends cycle-over-cycle
Pass rate, exception count, and time-to-clear trended cycle over cycle so you see drift before the auditor does.
Stratified samples, scored at scale - only the exceptions reach a human
12.4K TXNS · 480 SAMPLED · 3 EXCEPTIONS
Populations sampled
Surfaced as
Populations sampled
Vendor + AP transactions. The classic audit population - sized confidently, sampled stratified, scored against your matching rules.
Support tickets. QA scoring on customer interactions - tone, resolution, SLA - with reviewer-randomized samples.
Claims + refunds. High-volume customer-facing transactions where exception detection prevents leakage.
Payroll + expenses. Recurring high-trust populations where the exceptions are the expensive ones.
Surfaced as
Audit log. Every sample, every score, every reviewer decision - timestamped and rule-versioned.
Owner queue. Review-grade exceptions routed to the person who can resolve, with rationale and source row attached.
SLA paging. Fail-grade exceptions page on-call when the SLA window is closing.
Cycle scorecard. Pass rate, exception trend, and time-to-clear by category cycle over cycle.
What you get, every week
Defensible coverage
The sample is sized to your confidence interval. Auditors stop arguing about sample selection.
An exception queue that ages out
Critical exceptions clear within SLA because they're routed and timed, not buried in someone's dashboard.
Drift caught early
The cycle scorecard shows the trend before a one-time spike becomes a quarterly problem.
See this in your industry
How operations reads for each sector we serve.
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