Stop Missing What Matters in Your Audit Reviews
Regulated lab teams spend days manually scanning thousands of audit trail rows. Patterns get missed. Findings go undefended. Auditors ask hard questions.
XceptionIQ changes that.
Why We Exist
We believe every QA reviewer deserves complete confidence in their audit trail.
In regulated environments — pharmaceutical, biotech, medical device — a missed exception isn't just an oversight. It's a 483 observation. A warning letter. A failed batch release. A threat to patient safety.
Manual review of audit logs spanning thousands of rows, across six or more instrument families, each with a different event vocabulary, is not a sustainable control. The status quo creates risk — not by negligence, but by sheer volume.
“Rows are not flagged because they contain suspicious words. They are flagged because they participate in an exception pattern.”
Volume overwhelms reviewers
A single HPLC audit trail can contain 4,000+ event rows for a single batch. Manual line-by-line review at this scale guarantees fatigue-driven misses.
Patterns can't be found by keyword
A post-calibration-expiry weight entry isn't flagged by searching for a word — it requires correlating timestamps, user roles, calibration records, and LIMS state across rows.
Defensibility gaps in final reports
When inspectors ask "how did you identify that exception?" the answer must point to evidence, policy, and reviewer decision — not 'we checked manually'.
Multiple instruments, one team
QA reviewers shouldn't need a different tool and mental model for every instrument family. One workbench, one review workflow, regardless of the source.
How It Works
AI proposes. Humans decide. Every step is defensible.
XceptionIQ combines structured AI reasoning with a rigorous human-in-the-loop review workflow — so findings are neither purely algorithmic nor purely manual.
Upload & Normalise
Ingest audit trail PDFs or CSV exports from any supported instrument. XceptionIQ normalises every row into a shared canonical event model — regardless of source format.
Detect Patterns
AI reasoning engines scan across rows, timestamps, user roles, calibration records, and LIMS context to identify candidate exceptions — as behavioural patterns, not keywords.
Review with Evidence
QA reviewers see each candidate with its full evidence bundle: trigger rows, supporting events, contradicting events, policy match, and AI reasoning. Confirm, reject, edit, or escalate.
Approve & Release
Supervisor sign-off gates critical findings. A final defensible report is generated — containing only reviewed, approved observations with immutable audit trail of every human and AI action.
Pattern-based detection
Exceptions are identified as correlated event sequences, not isolated flag words. A post-calibration-expiry measurement is only an exception in context.
Immutable AI + human audit log
Every AI action, model version, reviewer decision, and approval is timestamped and immutably stored — ready for inspector review.
Organisation-scoped policies
Detection policies are configurable per organisation and instrument family. Your SOPs, your control packs, your compliance posture — enforced automatically.
The Platform
Everything your QA team needs in one workbench.
XceptionIQ is an end-to-end audit trail exception review platform — from raw log ingestion to a signed, defensible exception report.
Multi-format Ingestion
Accept born-digital PDF audit trail reports, CSV event log exports, and supplementary files — SOPs, user role matrix, LIMS extracts, calibration records.
Candidate Exception Register
AI-generated candidates ranked by severity, with row-level evidence bundles, policy matches, trigger events, and contextual supporting rows.
Human-in-the-Loop Review
QA reviewers confirm, reject, edit, merge, split, or escalate each candidate. Every reviewer action is captured and timestamped.
Role-Based Approval Workflow
High and critical findings route to supervisor approval. QA Manager sign-off gates report release. Audit-ready decision history included.
Defensible Final Report
Export a structured exception report containing only reviewed and approved findings — with evidence, reviewer rationale, and approval signatures.
Organisation Isolation & Governance
Multi-organisation architecture with per-organisation policy packs, control configurations, user management, and complete data isolation.
Instrument Coverage
One review experience across all your regulated instruments
Built For
Every role in your QA chain of custody
QA Reviewer
- Fast triage of large audit logs
- Row-level evidence for each finding
- Confirm, reject, escalate controls
- Reviewer comment trail
QA Manager / Supervisor
- Dashboard of open and confirmed findings
- Trend by instrument, user, batch
- Approval gate for critical exceptions
- Final report sign-off workflow
Compliance / CSV Lead
- Deterministic policy definitions
- Versioned prompts and models
- Evaluation test sets and metrics
- Full AI + human action audit log
System Administrator
- Role-based access control
- Exception policy pack management
- Connector and import configuration
- Monitoring and failure handling
Ready to review with confidence?
Join QA teams who have stopped relying on manual row-by-row review and started defending every finding with evidence.
No commitment required. Set up in minutes.