Start here, tell us how batch review works at your site

• How often does your QA team complete a full batch review cycle? Options: Multiple times per week, Weekly, Several per month, Monthly, Less often
• Walk me through your typical batch record review, from manufacturing completion to release decision
• Who on your team is usually the final reviewer and how are reviewer assignments decided? Options: QA Director or Head, QA Manager/Lead, Rotating reviewer pool, By product line owner, Other
• On average, how many finished batches does your site review in a typical month? Options: 1-5, 6-20, 21-50, 51-100, 100+
• Which systems and paper artifacts do reviewers consult during a review, list the top three sources Options: MES data, LIMS test reports, Paper batch record, Deviation management system, Equipment logbooks, Other

When review delays feel expensive

• If a single delayed batch cost you a full week of sales, what would that look like for your site?
• How often do reviews extend beyond your target release window? Options: Almost always, Often, Occasionally, Rarely
• Tell me about a recent batch that stalled because of an investigation or missing data, what happened and how many additional reviewer hours did it add?
• What common root causes surface when a late-stage issue appears deep into a multi-day review? Options: Missing in-process results, Unlinked deviations, Handwritten notes mismatch, Integration gaps, Other
• Which leadership metric suffers most when review cycles slip, cycle time or batch throughput, and how does that show up in your reporting? Options: Cycle time, Batch throughput, Both equally, Other metric
• What single failure in your current review process would make you stop a technology rollout immediately?

How confident would you be if an inspector arrived tomorrow

• Imagine an FDA inspection focused on batch record review tomorrow, where would the inspector be most likely to raise concern?
• How do you currently capture electronic signatures and the associated audit trail for each reviewer? Options: Paper signatures with scanned archive, Electronic signatures inside an application, Hybrid, both electronic and paper, No formal electronic signature process
• Who owns Part 11 or electronic signature compliance at your site and who approves validation evidence? Options: QA Compliance Lead, Quality Systems, IT/Validation owner, Combination of QA and IT, Not defined
• Walk me through the last audit observation related to batch release, what was the finding and how long did remediation take?
• Is your current validation state or scheduled validation window a hard stop for implementing an electronic batch review this fiscal year? Options: Yes, cannot proceed this year, No, we can adjust schedule, Possibly, requires review

Where data and integrations tend to break things

• Imagine your MES or LIMS fails to provide a key data feed during a pilot, what breaks first in the review workflow?
• Provide the systems that must integrate for an electronic review to function and who owns each connection
• Do your systems expose APIs or will file handoffs and manual exports be needed to deliver required data? Options: APIs available for key data, APIs partial, some file drops needed, Only file exports available, No clear export mechanism
• How standardized are in-process result formats compared with the specification checks you run today? Options: Fully standardized, Mostly standardized with exceptions, Inconsistent formats across lines, Mostly paper or scanned results
• Identify the single integration gap that, if left unresolved, would block a pilot or pre-commit proof

Who else is on the shortlist and why

• What would have to be true about your current approach for you to keep it rather than switching to an external solution?
• List the alternatives you are evaluating now, including internal builds, incumbents, or other platforms Options: Incumbent vendor, Internal build, Other vendor platforms, No formal alternatives identified
• Has anyone internally proposed building this capability, and if so what resource level and timeline were estimated? Options: Yes, small team 3-6 months, Yes, larger program 6-18 months, No internal proposal, Unclear
• What single strength of the incumbent or internal option makes stakeholders reluctant to change?
• If the pilot proves the cycle time gains, what approvals would be required to sign and how quickly could those be secured? Options: Procurement + Legal, Executive approval only, Multi-site governance required, Unclear

What must be in place before we book a pilot

• List the environments, test data access, and named system owners that must be ready before a pilot can start
• Do you have a dedicated validation owner and a validation window already reserved for system qualification? Options: Yes, owner and window reserved, Owner assigned, window pending, No owner or window yet
• Identify the person or role that will provide access to production-like data and note any approvals that could delay access
• How many FTEs, internal engineering or integration hours, and QA validation days does your team expect to allocate to a pilot? Options: <1 FTE, 1-3 FTEs, 4-6 FTEs, 7+ FTEs
• Are there any legal, facilities, or compliance approvals that, if not obtained, would stop the project from progressing to pilot? Options: Yes, regulatory approval needed, Yes, facility access constraints, No hard stops identified, Unknown

How you will know the pilot succeeded

• Name the one measurable pilot outcome that would convince leadership to sign within 30 days
• Select the KPIs you will use to judge success, or add your own Options: Review cycle time reduction, Reviewer hours saved, Exception detection rate, Time to release, Reduction in audit findings, Other
• What evidence and sample records will satisfy the agreed acceptance criteria for integration validation and Part 11 checks?
• Name the roles that must approve acceptance results and the expected cadence for signoff during the pre-commit proof
• Assuming the platform highlights exceptions exactly as in your sample records, what would stop you from moving to a pilot immediately?

Who decides and what would speed the timeline

• What's the fastest realistic timeline in which your organization could complete a pilot and decide to proceed to deployment? Options: 2-4 weeks, 1-2 months, 3-4 months, Longer than 4 months
• Provide the decision-makers who must sign off to award a contract, include roles and email titles rather than personal names
• Describe your budget approval path for projects like this, who owns it and which quarter would funds be available?
• Assuming the pilot meets acceptance criteria, what internal obstacles would still delay contracting or deployment?
• Should the pre-commit proof next month meet all acceptance checks, who is enabled to approve moving to pilot within two weeks?

• Solution Experience — Exception-Based Review Workflow

• You confirm the demonstrated workflow eliminates the late-stage rework and reduces reviewer time for the shown batch scenarios.
• Confirm the current state and its cost to your QA operation
• Run the exception workflow against the provided batch scenarios and deliver the processed results, exception log, and cycle-time comparison before the pre-commit proof window.
• You confirm the compliance behaviors shown (deviation linkage, completeness enforcement, audit trail, e-signature flow) satisfy your internal QA requirements.
• Map the provided batch scenarios to failure points
• Provide three representative batch records with associated MES, LIMS, and deviation extracts and note any recurring deviation patterns to be used in the live walkthrough.
• Confirm the pre-commit proof window dates and the specific sample records to be used for integration and compliance validation.
• Live walkthrough: exception-based review on Batch 1
• You accept the proposed acceptance criteria and schedule for the pre-commit proof that will measure cycle-time reduction on representative batches.
• Demonstrate deviation linkage and compliance checks
• Forced validation: confirm this matches your intent
• Agree acceptance criteria for the pre-commit proof
• Confirm next steps, deliverables, and timeline for decision

• Solution Experience — Exception-Based Review Workflow
• Solution Experience Deck
• Solution Brief — Exception-Based Batch Review

• meeting
• slides
• document

• MES Data Feed Integration
• LIMS Data Feed Integration
• Deviation System Integration
• Exception-Based Review Workflow Configuration
• Automated Completeness and Business Rules Engine
• In-Process Result Specification Checks
• Reviewer Assignment and Workload Management
• Electronic Signature and 21 CFR Part 11 Audit Trail
• Deviation and CAPA Linkage Implementation
• Quality Metrics Dashboard Setup
• Historical Batch Record Migration
• Validation Documentation and IQ/OQ/PQ Package
• Reviewer Training and SOP Implementation
• Release Authorization Workflow Deployment
• 30-Day Post-Go-Live Hypercare

MES Data Feed Integration

• MES endpoints that must be integrated (batch header, equipment events, lot status): list endpoint names or API resource paths
• Throughput expectation for MES traffic: usual number of batch transactions per hour to be ingested Options: Less than 10 batches/hr, 10-50 batches/hr, 50-200 batches/hr, More than 200 batches/hr
• Authentication method your MES exposes for API access (select the applicable) Options: OAuth2 token, Mutual TLS certificate, Basic auth over VPN, SFTP drop with key
• Transport mechanism preference for MES events (choose one) Options: REST API push/webhook, Periodic pull via API, SFTP file drops, MQ message queue
• What acceptance criteria will confirm the MES feed is complete and accurate (give measurable thresholds, e.g., transaction match rate, sample batch count)?

LIMS Data Feed Integration

• LIMS artifacts to consume (select all that apply) Options: Raw test results, Final released test results, Sample metadata (ID, collection time), Analytical reports/PDFs
• Primary LIMS access method and version (API endpoint or export file format)
• Typical LIMS result volume per batch (number of sample-result records) Options: 1-10, 11-50, 51-200, 200+
• Units and reference ranges that require normalization during ingest (list specific analytes and units, e.g., mg/mL, °C)
• What evidence will validate LIMS-to-platform mapping for sample results (e.g., mapping verification for N sample IDs, zero-mismatch reconciliation)?

Deviation System Integration

• Primary deviation system connection type (API, direct DB read, CSV export) Options: REST API, SOAP API, Database export, Scheduled CSV export
• Key deviation fields required to link to batch records (e.g., deviation ID, linked batch ID, status, investigator)
• API credential owner for the deviation system and the contact we should use to request access
• Two-way sync requirement: should status updates from the platform write back to the deviation system? Options: Yes, full two-way sync, Only one-way visibility into deviations, Write-back for status only
• Estimated count of open deviations to be linked at go-live and any age-based prioritization rules

Exception-Based Review Workflow Configuration

• Exception rule examples to implement (provide 3-5 real batch scenarios that should create exceptions, e.g., OOS potency, missing Q signature)
• Severity levels and reviewer routing for each exception type (e.g., critical -> QA lead, minor -> line reviewer)
• Require time-boxed reviewer SLAs for exceptions and the SLA thresholds (e.g., critical 8 hours, high 24 hours)
• Provide the real batch records we will use as configuration examples during the workshop (batch IDs or date ranges)
• Indicate whether reviewers require guided checklists mapped to specific process steps (sampling, in-process result verification, final review) Options: Yes, guided checklists per process step, No, free-form review only, Optional guided checklists

Automated Completeness and Business Rules Engine

• Completeness checks to enforce (select all that apply) Options: All required signatures present, All required attachments uploaded, Linked LIMS results present, All required fields populated
• How should exceptions be classified for release blocking versus advisory (describe rule examples tied to batch attributes)
• Conditional rules required by product or site (examples: sterile product requires additional sterility sign-off)
• Tolerance thresholds that feed into rules (provide numeric thresholds for critical tests to trigger exceptions)
• Notification targets and cadence when completeness rules fail (choose preferred channels) Options: Email to reviewer, System in-app alert, Create deviation record, Pager/SMS for critical

In-Process Result Specification Checks

• Supply the list of in-process tests and official spec limits (test name, lower/upper spec, units)
• Indicate the sampling plan to associate with in-process checks (sample IDs per lot, timepoints)
• Require automated pre-review validation that flags LIMS results outside spec before assignment Options: Yes, flag and hold, Flag only; do not hold, No automated flagging
• Identify instruments or assays needing unit conversion or calibration offsets at ingest (list instrument IDs if available)
• Estimate historical in-process failure rate by product line to size exception volumes

Reviewer Assignment and Workload Management

• Who are the named reviewer roles and their qualification levels we must mirror in the platform (e.g., Senior QA, Batch Reviewer, Microbiology SME)
• How many concurrent reviews should be allowed per reviewer before auto-reassignment triggers Options: 1-2, 3-5, 6-10, No hard limit
• State reviewer capacity thresholds and redistribution rules we should enforce (examples: max open critical exceptions = 2)
• Outline escalation paths when reviewers do not respond within SLA (who is notified and after how long)
• Indicate whether workload balancing should consider reviewer training records and specific qualifications Options: Yes, use qualification matrix, No, assign by round-robin, Hybrid

Electronic Signature and 21 CFR Part 11 Audit Trail

• Name the user actions that must require an electronic signature in the system (e.g., release authorization, deviation acceptance)
• Detail required signature metadata and timestamp precision (timezone handling, milliseconds vs seconds) for audit exports
• Confirm whether multi-factor authentication (MFA) is required prior to e-signing Options: Yes, MFA required, Optional MFA, No MFA required
• Supply site SOP references governing electronic signatures and delegation rules we must follow during configuration
• State the required audit trail retention period and whether write-once (WORM) storage is mandated Options: 1 year, 3 years, 7 years, Site-specific / custom

Deviation and CAPA Linkage Implementation

• Describe how deviation records should link to batch IDs and specific batch record pages (give example links or ID formats)
• Select CAPA triggers that should be created automatically from exception patterns Options: Repeat OOS within 30 days, Trend of 3 minor deviations, Critical deviation occurrence, Manual CAPA only
• Confirm required mandatory deviation fields before closure (e.g., root cause, corrective action, verifier signature)
• When CAPA is initiated, which owner roles should receive action items and default due-date windows
• Detail the reports needed to evidence closed-loop CAPA linkage for audit (fields, filters, time ranges)

Quality Metrics Dashboard Setup

• Highlight the KPIs to include on go-live dashboards (e.g., median review cycle time, exceptions per 100 batches, percent released within SLA)
• Clarify the required refresh cadence for metrics and whether source-level latency (MES/LIMS) affects timeliness Options: Real-time, Near real-time (5-15 minutes), Hourly, Daily
• Explain whether leadership needs role-based dashboards with restricted visibility for batch-level details Options: Yes, leadership summary + drilldown, No, everyone sees same dashboard, Mixed
• Give examples of inspection-ready exports you need from dashboards (e.g., audit trail export, batch review summary PDF)
• Define KPI target thresholds for 30 and 90 days post-go-live (for example, reduce median cycle time by % or achieve X% releases within SLA)

Historical Batch Record Migration

• Enumerate record types to migrate (paper scans, legacy PDFs, LIMS exports, MES snapshots) and the date range for migration
• Approximate the migration volume by batches and scanned pages to size conversion and OCR effort Options: Less than 10k pages, 10k-50k pages, 50k-200k pages, More than 200k pages
• Clarify any regulatory retention or archival format constraints (21 CFR Part 11, EU GMP annex) that affect storage format
• Name the minimum indexed fields required for search after migration (e.g., batch ID, lot number, product code, reviewer signature)
• Detail OCR and scan quality standards you require for migrated documents (resolution dpi, searchable text accuracy, PDF/A conformance)

Validation Documentation and IQ/OQ/PQ Package

• Specify the validation deliverables you require in the IQ/OQ/PQ package (traceability matrix, test scripts, pass/fail evidence) Options: Full IQ/OQ/PQ with scripts, IQ/OQ with test scripts; PQ workbook only, Qualification guidance only
• List the sample test cases and acceptance steps you expect for OQ (integration validation, exception highlighting behavior, ESIGN checks)
• Provide the list of system environments and their owners required for IQ/OQ/PQ (dev, test, UAT, performance, prod) Options: Dev/Test/UAT/Prod, Dev/UAT/Prod, Custom environment list
• Identify the party responsible for executing and retaining validation evidence (we execute, you execute, joint execution) Options: We execute and hand over evidence, You execute with our scripts, Joint execution with responsibilities split
• What defines done for the validation package (specific acceptance criteria and measurable thresholds, e.g., zero critical failures across N test runs)?

• gaps
• desired_state
• decision_readiness
• success_criteria
• current_state
• stakeholders
• current_state
• decision_readiness
• stakeholders
• desired_state
• success_criteria
• gaps
• current_state
• stakeholders
• decision_readiness
• desired_state
• gaps
• success_criteria
• decision_readiness
• decision_readiness
• decision_readiness
• decision_readiness

• Master Services Agreement (MSA)
• Subscription Order Form
• Statement of Work (SOW)
• Commercial Order & Payment Schedule
• Validation Responsibility Matrix & Acceptance Criteria
• Service Level Agreement (SLA)
• Regulatory Compliance Addendum (21 CFR Part 11 & GxP)
• Data Processing Agreement (DPA)
• Change Order Agreement
• Go/No-Go Authorization & Cutover Sign-Off

• Go-live Health Check (week 1-4)
• First Measurement Review (weeks 4-10)
• Acceptance Gate Review (around day 90)
• Quarterly Success Review (ongoing)

• Refresh reviewer training notes and distribute any process reminders tied to observed errors.
• Schedule a short follow-up checkpoint two weeks before the acceptance gate to verify progress.
• Restate Solution Scope acceptance criteria and numeric targets
• Produce a documented acceptance decision for the Solution Scope criteria with a named signatory and date.
• Confirm the incumbent system wind-down plan is approved and scheduled, including data archive or read-only retention details.
• Agree remediation items and firm resolution dates for any unmet criteria so the project can move into steady-state reviews.
• Publish the formal acceptance record and attach all evidence used to make the decision.
• Execute the incumbent wind-down tasks, including contract/renewal handling and data archive confirmation.
• Create a remediation tracker for any conditional items with deadlines and verification steps.
• Review trend of core metrics and dashboards
• Confirm core metrics remain within the tolerance defined in Solution Scope or document required adjustments.
• Ensure compliance evidence is current and that audit trails meet Part 11 expectations.
• Agree a concise set of operational actions for the next quarter with deadlines.
• Update the shared dashboard with the quarter's raw data and calculation notes.
• Resolve the top three recurring tickets or document compensating controls if resolution requires more time.
• Re-confirm success criteria and owners
• Confirm the deployment completed to the level required for initial production use and that required validation evidence is on file.
• Create an owner-assigned list of high-priority issues with committed resolution dates.
• Agree immediate remediation steps so reviewers can continue batch reviews without blocking production release.
• Publish deployment validation evidence and environment checklist to the shared workspace.
• Record all open defects and assign an owner and target resolution date for each.
• Distribute a short how-to note for any agreed temporary workarounds to reviewer teams.
• Present first-period metrics and source data
• Determine whether the two named metrics are trending toward the Solution Scope targets and identify measurable gaps.
• Document the root cause for any gap with at least one reproducible example per root cause.
• Agree a corrective plan with dates that will enable evaluation at the acceptance gate.
• Publish the metric report with raw data extracts and calculation definitions for audit.
• Log corrective configuration or workflow changes with expected completion dates.
• Present outcome data against each criterion
• Persistent issues and ticket burn-down
• Deployment and migration validation
• Diagnose gaps and root causes
• Document pass/fail per criterion and record the decision
• Early adoption signals and usage patterns
• Compliance evidence and audit trail health
• Exception and deviation handling review
• Blockers and open issues with owners
• Agree corrective actions and timeline to acceptance gate
• Short-cycle items and training refresh
• Incumbent system wind-down checklist
• Agree immediate remediation actions
• Agree remediation items and resolution timeline
• Meeting efficiency check