See and measure the real value of your IDP programs by lining up document workflows with full process insight.

IDP Analytics

AI-Powered Business Intelligence for Document Workflows

Turn every document interaction into actionable business intelligence with comprehensive workflow analytics, performance monitoring, and AI-driven recommendations for smarter enterprise operations.

Gain Actionable Insights into Document Operations

Integrate AI-powered Intelligent Document Processing (IDP) with advanced business intelligence to gain a unified view of your document operations. By combining workflow analytics, operational metrics, and process insights within a single platform, Regoxa enables organisations to monitor performance, identify bottlenecks, and uncover optimisation opportunities across the entire document lifecycle.

Measure the true business impact of your document automation initiatives with comprehensive analytics that provide end-to-end visibility into every workflow. From processing efficiency and accuracy to operational performance and business outcomes, Regoxa transforms document data into actionable intelligence, empowering enterprises to make informed decisions, maximise ROI, and continuously optimise document-driven processes.

Transform Document Workflows with AI-Powered Intelligence

What you get:

Intelligent document automation

Smarter process execution

with configurable workflows, business rules, and AI-assisted decisions that minimise manual intervention and accelerate operations.

Actionable business intelligence

through real-time analytics that measure throughput, accuracy, turnaround times, and automation performance.

Connected enterprise automation

with flexible APIs and integrations that unify documents, workflows, and enterprise applications into one intelligent ecosystem.

How IDP Analytics works

See every document workflow in Regoxa Process AI

Regoxa Process AI builds a digital twin of your document processing workflows, showing the steps each document moves through, how long each one takes, where processing loops back unnecessarily, and where a crucial step gets skipped.

Track the metrics that matter to you

Set the metrics around your automation goals. Case duration, cost per invoice processed, hours spent per case, whatever you want to watch and improve, you can build dashboards for it. There's no real limit to what you can analyze.

Keep optimizing

Once you can see the process clearly, what drives it, and the value it delivers, adjusting toward your goals gets straightforward. Visualizing the full end-to-end process, including the business systems up - and downstream, surfaces even more room to improve. (This capability requires an additional license.)

Intelligent Document Processing Analytics is the discipline of measuring how documents move through an automated processing pipeline from ingestion and OCR through classification, extraction, and validation and turning that operational data into business metrics. On Regoxa, it means every document event generated by the platform's AI-powered OCR, classification, and extraction engines is captured and made queryable, so teams can see not just whether a document was processed, but how efficiently, how accurately, and at what cost.
Standard reporting tools show static counts and totals after the fact. AI document analytics, as delivered in Regoxa's platform, is generated directly from the same AI models that classify, extract, and validate document content. This means the analytics layer understands document type, extraction confidence, and validation outcomes natively, rather than relying on manually tagged data. This lets teams drill into questions standard BI tools can't answer, such as which document types or fields are driving exceptions.
At minimum, enterprises should track straight-through processing rate, average processing time per document type, extraction and classification accuracy, exception/rejection rate, and cost per document processed. Regoxa's analytics let you build dashboards around whichever of these metrics, or custom combinations, map to your specific automation goals and track them over time as volumes and document mixes change
Analytics are only as reliable as the data feeding them, and OCR is the first point where errors can enter a document pipeline. Regoxa's AI-powered OCR handles printed and handwritten text, tables, and low-quality scans with high recognition accuracy, which reduces noise at the source. This means the analytics built on top including accuracy rates, exception volumes, throughput, reflect real process performance rather than artifacts of poor text recognition.
Yes. Regoxa's analytics surface confidence scores and validation outcomes at the field and document level, so patterns of low-confidence extraction or repeated validation failures are visible before that data is pushed into ERP, accounting, or case management systems. This lets teams intervene at the model or configuration level rather than discovering errors after they've caused downstream cost.
Document workflow optimization means using process-level data, such as where documents stall, which steps get skipped or repeated, and how long each stage takes — to make targeted changes rather than broad, unverified fixes. With Regoxa, that data comes from the same platform processing the documents, so optimization decisions are grounded in what's actually happening in production, not assumptions about how the workflow was designed to run.
Document automation ROI is typically measured through reductions in manual processing time, lower cost per document, fewer exceptions requiring human review, and faster cycle times for the business processes documents feed into (invoice approval, claims, onboarding, etc.). Regoxa's analytics track these metrics before and after automation changes, giving teams verifiable, before/after evidence rather than estimated savings.
General BI tools require you to model and pipe in your own data. IDP analytics is purpose-built around document processing events, including extraction confidence, classification accuracy, step-level duration, straight-through processing rate. It comes pre-instrumented from the moment documents start flowing through

Regoxa's platform, so there's no separate data engineering effort required to get operational visibility.
Yes. Regoxa's analytics layer is built on the same infrastructure that processes structured, semi-structured, and unstructured documents at scale, so performance dashboards, throughput metrics, and exception tracking remain accurate whether you're processing thousands or millions of documents per month, across multiple departments or business units.
Yes. Because Regoxa captures processing metrics consistently across every document type and workflow, you can segment dashboards by department, region, business unit, or document category to compare performance side by side. This helps identify which teams or processes have the highest exception rates or slowest turnaround, and prioritizing improvement efforts accordingly.
Regoxa is built for document-heavy, compliance-sensitive environments including financial services, insurance, and healthcare, where audit trails and validation accuracy matter as much as speed. The analytics layer records extraction, validation, and processing history at the document level, giving compliance and audit teams a verifiable record of how each document was handled.
Document data processed and analyzed within Regoxa is handled under the platform's standard security controls, including encryption in transit and at rest and role-based access to dashboards and underlying data. Regoxa also supports deployment models such as cloud or on-premises/edge, allowing enterprises keep

sensitive document data within their own security perimeter where required.
Both. Regoxa's analytics are built on live processing data, so dashboards reflect what's happening in your document workflows in real time including current queue depth, active exceptions, in-progress cases. The platform also retains historical data for trend analysis, period-over-period comparisons, and long-term performance benchmarking.
By exposing exactly where documents require manual touch such as low-confidence extractions, failed validations, misrouted document types, Regoxa's analytics let teams fix the root cause, whether that's retraining an extraction model, adjusting a validation rule, or correcting a routing step. Each fix compounds: as straight-through processing rates rise, fewer documents need human review, which directly lowers the labor cost per document processed.