Search, extract and summarise enterprise documents.
Enterprise teams need to find relevant information across documents, not only store more files. textIQ brings intelligent search and insight to unstructured content, with extraction, classification and summarisation.
It fits document-heavy work where business reviewers need to locate, organise and understand information. Start with a defined collection and a task that reviewers can assess.
textIQ is part of Data & AI. Agentic AI & GenAI supports wider knowledge-assistant delivery, while Data platforms & analytics addresses the surrounding data estate.
An enterprise evaluation should separate product functionality from optional repository integration, workflow design and implementation services.
Use an agreed sample collection to assess search results, document fields and summaries against your business requirements.
Ask a business question across a document collection and inspect the returned information. For example, assess how a reviewer would locate material relevant to a particular policy.
Turn selected document information into an organised output. Agree the fields and categories for a sample, then compare the result with the reviewer’s expected values.
Produce a shorter account of document content for a reviewer to assess. Test which points are retained or omitted before using a summary in a business workflow.
Evaluation workflow: select safe material, test the document tasks, review the result and agree the route into your enterprise workflow.
Choose approved, non-confidential documents and representative questions. Agree permissions and the expected reviewer outcome.
Sample collection and task brief
Demonstrate search, extraction, classification or summarisation against the sample. Check file, language and scan support.
Task outputs and supported-format scope
Compare results with source material and expected fields. Assess source references and confidence handling where demonstrated.
Review rubric and exception log
Agree output formats, repositories and any export or integration work. Identify the human approval point before downstream use.
Integration and acceptance plan
Example engagement pattern, not a client case study. An operations team needs to locate information and summarise material from a policy-document collection. Use an agreed sample set, representative questions and a reviewer-created reference answer.
The evaluation produces sample search results, a field/category output, a reviewed summary and an exception log. Agree a quality rubric and human-review requirements before connecting the product to operational work.
For wider process redesign and automation, explore Intelligent Operations.
Available by licence, subscription or SaaS, with or without Linkfields services. Request a guided demo using approved sample material before discussing enterprise data access.
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