KnowledgeLake 4.1 ships three updates built for the way BPOs actually run: Intuitive AI extracts richer data from messier documents, the new QC experience lets reviewers clear a thousand docs by keyboard, and Insight puts work items and dashboards in one place.
A one-minute overview of what's in 4.1 — what changed in extraction, how reviewers work now, and where operations leaders see throughput, exceptions, and SLA risk. Pick a tab on the left for the deep dive on any one product.
New field types and per-document extraction strategy let admins shape the model to the variation a real production floor sees — not just the documents that look like training data.
A rebuilt QC surface where reviewers spend their time only on fields the model flagged for human judgment — and skip everything it already got right. Throughput scales with document volume, not headcount.
Work item management and operational reporting, finally in the same place. Native dashboards built on workflow permissions you already trust — no external Power BI side-quest.
"AI works because it augments people, not replaces them."
New list and table field types, plus per-document extraction strategy. Match the model to the content instead of forcing every document through the same pipeline.
Most extraction tools work on documents that look like the training data. Real production documents don't. Intuitive AI's new capabilities let admins shape extraction to the actual variation your business sees — multi-value fields, structured tables, and per-document strategy selection.
Capture arrays of strings — vendor codes, signatories, line-item descriptors — as a single structured field instead of N copies.
Define a table structure once — columns and types — and extraction returns rows in the shape your downstream system expects.
Choose between text-only, structured, or image extraction. Match the strategy to the content, not the other way around.
The QC task experience is rebuilt from the ground up. Reviewers spend their time on fields the model flagged for human judgment — and skip everything else. Throughput that scales with document volume, not headcount.
Work item management and reporting, finally in the same place. Drag-and-drop widget designer, native dashboards, no external Power BI side-quest.
Compose dashboards from work-item counts, Intuitive AI classification charts, and static content blocks. Configurable time ranges per widget. Pin and share across the team. Built on your existing workflow permissions, so nobody sees what they shouldn't.
Document operations live or die on visibility. When the data is locked in spreadsheets, exported nightly, or rebuilt every Monday morning in Power BI, the team is always reacting to last week. Insight puts the same operational picture in front of every role that needs it — in real time, on the same data, with the permissions you already manage.
Live dashboards show throughput, queue depth, and exception rates per project. Spot a backlog forming on a Tuesday — not in the Friday client report.
Track operator throughput and exception cost across teams and document types. Compare project margins side by side without exporting a single CSV.
Pin the dashboards your clients ask about and share them directly. Same numbers your team works from, no rebuild, no version drift.
Visibility into volume by document type and time of day means staffing decisions stop being a guess. Anticipate spikes; redeploy when the queue is light.
