Document-heavy operations.
Operations and product leaders responsible for a recurring process where documents arrive, are checked and turn into records or decisions.
Turn incoming documents into reviewable work.
AI document processing connected to your existing systems, with source references, human review and a clear path for exceptions. Start with one document type and one business team.
Request a workflow review ↗Extraction is only part of the work.
Teams must find the correct record, check uncertain fields, resolve exceptions and move accepted information into a system of record.
One document type. One team.
A defined input, the fields that matter, the destination system and the people who review the result.
How the work is stagedFrom intake
From intake
to accepted record.
Each stage ends with something your team can inspect before the next one starts.
- 1. Define. Document type, input channel, required fields and destination system.
- 2. Design. Extraction, source references for each field and the human review step.
- 3. Test. Incomplete, duplicate and unreadable documents, and unavailable dependencies.
- 4. Hand over. An agreed operating increment with permissions, monitoring and a named support owner.
Acceptance and limitationsMeasure the whole
Measure the whole
handling effort.
Faster extraction does not help if correction and review take longer.
We assess total handling effort: review and correction time, exception handling, model running costs and integration costs, compared with how the work is done today. Results depend on your documents, systems and review rules, so they are measured in the first scope rather than promised in advance. Uncertain fields stay with a reviewer; not every step is automated.
Relevant published workDetection with
Detection with
manual review.
Our published Talentako contribution is a CV anonymization MVP with sensitive-information detection, highlighting and manual review. It illustrates why detection and review belong together. It is not evidence of production accuracy for other document types; any new workflow is tested on your own authorized examples.
What should we bring to the discussion?
A description of the document type, how it arrives, which fields matter, where the information should end up and who checks it today. Redacted or synthetic examples are enough for a first conversation.
Can it work with our existing application?
Usually the workflow is connected to the systems you already use. Feasibility depends on available APIs or other integration points, data access and permissions, which we review during scoping.
Will everything be automated?
No. Uncertain fields, exceptions and unreadable documents go to a person. The review step and its rules are part of the design, alongside the error risks you are prepared to accept.
Does sending a brief commit us to a purchase?
No. A brief starts a conversation about scope and dependencies. Any engagement requires agreed scope and commercial terms.
A concrete place to startWhich documents
Request a workflow review ↗Which documents
slow your team down?
Describe one document workflow. We will clarify scope and dependencies and agree the next step.