Capture and classify
Identify document types and route them to the right process.
AI engineering
When invoices, forms or records arrive faster than people can classify and rekey them, Kritical builds document workflows that reduce repetitive work while keeping exceptions and important decisions visible to a person.
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Candidate workloads include invoices, purchase documents, forms, service records and correspondence. We map document types, source systems, required fields, decision points and exceptions before choosing models or platforms.
Identify document types and route them to the right process.
Extract useful fields, apply deterministic checks and surface uncertainty.
Pass accepted information to ERP, CRM, commerce or case-management systems.
Automation should not hide uncertainty. The design defines confidence thresholds, validation rules, human review queues, access boundaries, retention requirements and a clear record of what was processed, checked and approved.
A scoped delivery can move from discovery and sample-set preparation through a prototype, integration and agreed checks before handover. We measure accuracy, processing speed and exceptions against your real documents, not a vendor demo set.

A growing volume of supplier invoices means someone is always behind, and errors slip through under the backlog.
The same request arrives as a PDF, a scanned form or a photo from a phone, and each one needs the same fields extracted.
Decisions happen inside a person's inbox, with no record of what was checked or why an exception was allowed through.
We aim to provide continuity through a consistent lead or delivery group where the agreed scope and service model support it. Your proposal sets out the contact model, cover and handover arrangements that apply.
We review the supplied information, then confirm the scope, written price and expected timing.
Extraction, validation, review queues and integration are the real cost. We scope and price that work directly, in writing.
Your finance or operations lead gets a working understanding of when the system defers to a person.
Yes, where the target APIs, data model and permissions support the required workflow. The integration and record ownership are confirmed during discovery.
Only if the agreed risk and control design permits it. Consequential or uncertain cases can be routed for human review and approval.
Platform selection follows the workload, data location, security, integration and operating requirements. Kritical can assess cloud, hybrid and on-premises options.
Document volume, field complexity and integration scope change the cost too much for one published number. Send a sample and you get a written, scoped quote.
A representative, lawfully shareable sample of the document type, the fields you need extracted, the target system, and any known exceptions the current process already struggles with.
Access boundaries, retention and handling rules are agreed before any document is processed, and the design keeps a clear record of what was seen, by which process, and why.
Yes, where a review and feedback loop is part of the agreed design. Corrections made by reviewers can inform future accuracy without removing the human check on consequential decisions.
They are routed to a defined exception queue with the reason recorded, rather than silently rejected or forced through. Your team decides who resolves each exception type and how quickly.
No. Kritical scopes, builds and hands over the workflow, including the monitoring and review process your team needs to operate it day to day without ongoing specialist support.
Tell us what you want to achieve, what you have today and when it matters.