Disconnected quality data
Quality, laboratory, manufacturing and ERP data sit in separate systems with no shared view.
AI Analytics & Quality Intelligence
Transform quality and manufacturing data into actionable intelligence with AI-powered analytics that predict quality risks, identify trends, accelerate root cause analysis and deliver real-time business insights across your entire operation.
- Predictive quality
- Executive dashboards
- AI root cause
- Cross-plant insight
Quality Intelligence · live
Enterprise analytics cockpit
Quality index
94.6
Predicted risks
7
Sites monitored
12
Insights today
38
Quality score forecast · next 12 weeks
Deviation riskLine 3 · Product BHigh
Root causeHumidity correlation86%
RecommendationPrioritise CAPA-2418Ready
Plenty of data, very little intelligence
Quality organisations already generate everything they need to predict problems — it is simply spread across systems, formats and spreadsheets.
Reactive decision making
Teams respond after the deviation, the recall or the observation — never before it.
Manual report preparation
Analysts rebuild the same monthly decks in Excel instead of interpreting what the numbers mean.
Delayed root cause analysis
Investigations stall while people hunt for related batches, results and prior events.
Lack of predictive insights
Reporting describes the past; nothing forecasts which batches or products are at risk next.
Limited executive visibility
Leadership sees a snapshot per site, weeks late, with no comparable cross-plant picture.
Traditional reporting versus AI-powered quality intelligence
The same underlying data, read continuously by models instead of manually every month.
Traditional reporting
- Descriptive reporting of what already happened
- Trends spotted manually, if someone has the time
- Investigators search systems record by record
- Static monthly slides emailed to management
- Each site reports in its own format
- Data reviewed weeks after the event
- Reports compiled and formatted by hand
- Decisions wait for the next review meeting
AI-powered quality intelligence
- Predictive analytics that forecast quality risk ahead of time
- Automated trend detection running continuously on live data
- AI-assisted root cause analysis with ranked probable causes
- Executive dashboards refreshed in real time with drill-down
- Cross-plant visibility on one comparable quality standard
- Real-time monitoring with smart alerts on emerging signals
- Automated reports scheduled and distributed on their own
- Faster decision making from insight delivered where work happens
From raw enterprise data to recommended action
AI continuously learns from your enterprise quality data — every closed investigation, released batch and completed CAPA sharpens the next recommendation.
01
Collect Data
Quality, laboratory, batch, training and log data streamed from every OPS IQ product.
02
Clean & Validate
Deduplication, mapping and integrity checks before any model sees the data.
03
AI Analysis
Models correlate events, parameters and outcomes across products and sites.
04
Trend Detection
Drift, seasonality and rule violations surfaced automatically as they appear.
05
Predictive Insights
Forecasts of deviation likelihood, batch risk and quality score trajectory.
06
Root Cause Suggestions
Ranked probable causes with the supporting evidence behind each one.
07
Executive Dashboard
Insight delivered to quality, site and corporate leadership in real time.
08
Continuous Improvement
Outcomes feed back into the models so recommendations keep improving.
Sixteen capabilities, one intelligence layer
Predictive Quality Analytics
Forecast quality outcomes from historical batch, laboratory and deviation patterns.
AI Root Cause Assistant
Ranked probable causes with linked evidence from related events and results.
Executive Dashboards
Live corporate, site and functional views with drill-down to source records.
Natural Language Search
Ask questions in plain English and get charts, tables and answers instantly.
Trend Analysis
Continuous trending of critical attributes with automatic signal detection.
Deviation Prediction
Early flags on processes, lines and products drifting toward deviation.
CAPA Intelligence
Effectiveness, recurrence and overdue risk analysed across the CAPA portfolio.
Complaint Analytics
Category mix, rate per million and emerging market signals by product.
OOS / OOT Analytics
Laboratory excursions clustered by method, analyst, instrument and product.
Process Capability Analysis
Cp, Cpk, Pp and Ppk trended per parameter against approved limits.
Quality KPI Monitoring
Right-first-time, closure timeliness and compliance score tracked live.
Cross-Plant Benchmarking
Compare sites on a normalised scorecard instead of local definitions.
Automated Reports
Scheduled, templated reports delivered to the right audience automatically.
Smart Alerts
Threshold, anomaly and forecast-based alerts routed to the right owner.
AI Recommendations
Suggested next actions prioritised by impact, risk and effort.
Business Intelligence
Self-service exploration for analysts with governed, source-linked data.
The whole network, on one screen
Corporate, site and functional dashboards built on shared definitions, with drill-down from any tile to the record behind the number.
Site performance heat map
QualityBatchLabCAPACompliance
Site A9288959084
Site B7884718880
Site C9591899693
Site D6974827177
0
Quality index
0%
Right first time
0
Open deviations
0%
On-time CAPA
Quality Performance
Deviations, CAPA, complaints and audit findings in one weighted view.
Manufacturing Performance
Yield, right-first-time, cycle time and exception rate by line.
Laboratory KPIs
Turnaround time, OOS rate, retests and analyst workload.
Compliance Score
A single compliance index built from timeliness and closure quality.
CAPA Status
Open, overdue and effectiveness-pending actions by owner and site.
Deviation Trends
Recurrence by area, equipment, shift and root cause category.
Batch Performance
Batch-to-batch comparison with outliers highlighted automatically.
Product Quality Index
One comparable score per product across the full portfolio.
Site Comparison
Normalised benchmarking of every plant on the same definitions.
Executive Summary
The board-level view: risk, trend direction and what needs attention.
Insights with evidence and confidence
Every insight states what the model saw, how confident it is, and what it recommends doing next — so teams can act, or challenge it, on the spot.
92% confidence
Predictive quality alert
Product B, line 3 shows a rising probability of dissolution deviation within the next 6 batches.
86% confidence
Root cause suggestion
Granulation humidity correlates with 71% of hardness excursions recorded this quarter.
78% confidence
Trend forecast
Complaint rate for Pack C is trending to exceed the internal limit in 8 weeks.
89% confidence
Risk identification
Three suppliers account for 64% of incoming material rejections across two sites.
74% confidence
Process optimisation
Reducing compression speed variance is projected to lift right-first-time by 3.2%.
81% confidence
Quality score prediction
Site A quality index is forecast at 94.8 next quarter, up from 92.1 today.
95% confidence
Early warning
Environmental monitoring excursions in Zone 2 have doubled month on month.
88% confidence
Intelligent recommendation
Prioritise CAPA-2418 — highest predicted impact on the deviation backlog.
Ask your quality data a question
No report requests, no query builders. Ask in plain English and the answer comes back respecting your role-based permissions.
Show all overdue CAPAs.
OPS IQ Assistant
14 CAPAs are overdue across 4 sites. Site B accounts for 8, mostly effectiveness checks pending beyond 30 days.
Try a question
One AI engine, every enterprise system
AI Analytics is not a separate reporting tool bolted on the side. It sits at the centre of OPS IQ, reading each product natively and joining that data with ERP, MES and SAP.
OPS IQ AI Intelligence Engine
Correlates, predicts and recommends across every source
eQMS
Deviations, CAPA, change control, complaints and audits.
LIMS
Release, in-process and stability laboratory results.
ELN
Experiment data, method development and R&D outcomes.
DMS
SOPs, specifications and controlled document lifecycle.
eBMR
Batch execution, yield, in-process checks and exceptions.
LMS
Training completion, competency and qualification status.
eLogs
Equipment usage, cleaning and environmental monitoring logs.
APQR
Annual review data, trending and process capability history.
ERP
Batch genealogy, dispatch, returns and material master data.
MES
Process parameters, equipment states and line performance.
SAP
Procurement, inventory and supply chain quality signals.
BI Platforms
Power BI, Tableau and Qlik fed from a governed data layer.
Every audience gets its own view
From the board pack to the shift review, built once on governed definitions and distributed automatically.
Executive Dashboard
Portfolio risk, trend direction and priorities for leadership.
Quality Dashboard
Deviations, CAPA, complaints and audit performance live.
Manufacturing Dashboard
Batch, line and yield performance by product and shift.
Laboratory Dashboard
Turnaround, OOS rate, instrument and analyst utilisation.
Regulatory Dashboard
Submission-relevant metrics and inspection readiness status.
Compliance Dashboard
Compliance index by site with the drivers behind each score.
KPI Scorecards
Owned metrics with targets, thresholds and trend arrows.
Trend Reports
Statistical trending with signal and rule-violation callouts.
Interactive Charts
Filter, slice and drill from a chart to the source record.
Scheduled Reports
Automated distribution by role, site and reporting calendar.
Measurable impact on how decisions get made
0%
Faster decision making
0%
Less manual reporting
0%
Earlier risk detection
0%
Cross-plant visibility
Faster decision making
Insight reaches the decision maker while the decision still matters.
Predictive quality monitoring
Risk is flagged before the batch, the result or the complaint.
Improved executive visibility
One comparable picture of quality across every product and plant.
Reduced manual reporting
Analysts interpret data instead of assembling the same deck monthly.
Early risk detection
Weak signals surfaced long before they become regulatory findings.
Better operational efficiency
Bottlenecks, rework and idle capacity made visible and measurable.
Cross-plant intelligence
Best practice identified at one site and applied across the network.
Continuous quality improvement
Outcomes feed the models, so every cycle produces sharper guidance.
Trusted across regulated industries
Pharmaceuticals
Biotechnology
Medical Devices
Food & Beverage
Chemicals
Manufacturing
Life Sciences
The intelligence layer of the OPS IQ Platform
Unified OPS IQ intelligence layer
Analytics reads every product natively — no exports, no manual joins.
Enterprise AI analytics
Models built for regulated quality data, not generic dashboards.
Executive business intelligence
Board-ready views with governed definitions and drill-down.
Predictive quality monitoring
Forecast deviation, OOS and batch risk before it materialises.
Cross-platform insights
Quality, laboratory, manufacturing and ERP data on one model.
Cloud or on-premise
Deploy in our validated cloud or inside your own data centre.
Multi-site analytics
Corporate standards with governed site-level configuration.
Scalable enterprise architecture
From one plant to a global network without redesign.
A predictable path to enterprise intelligence
A first analytics rollout typically goes live in 8 to 12 weeks, including connectors, KPI definitions, dashboards and model tuning.
Phase 1
Discovery
KPI definitions, data sources and reporting audiences agreed.
Phase 2
Integration
Connectors to OPS IQ products, ERP, MES and BI platforms.
Phase 3
Configuration
Dashboards, scorecards, alert thresholds and access model.
Phase 4
Model tuning
Predictive models trained and validated on your historical data.
Phase 5
Go-live
Executive rollout, enablement and retirement of manual decks.
AI Analytics questions, answered
It is the intelligence layer of the OPS IQ Platform. Rather than being a standalone reporting tool, it reads live data from eQMS, LIMS, ELN, DMS, eBMR, LMS, eLogs and APQR — plus ERP and MES — and turns it into predictive insight, executive dashboards and recommended actions across every site.
Turn enterprise data into intelligent decisions
Empower your quality, laboratory and manufacturing teams with AI-powered analytics that predict risks, uncover opportunities and provide real-time visibility across your entire organization.
- 45-minute working session on your own quality data
- Live walkthrough of predictive models and executive dashboards
- Integration, security and deployment review