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enaio kairos: classify, index and file documents with AI

enaio kairos is the AI platform for enaio that automatically classifies, indexes and files incoming documents in a structured way, either as a cloud service or on-premise.

Instead of tagging every invoice, every delivery note and every contract by hand, enaio kairos recognises the document type, reads out the relevant fields and files the document in the right place. This reduces manual rework, speeds up processes and lays the foundation for extensive straight-through processing.

AWP Consult does not introduce enaio kairos as technology for its own sake, but along your document types and processes. We define what the AI takes on, where people review and how the results flow onward into enaio, archive and workflow. In this way a model becomes a reliable building block in day to day operations.

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As of October 2026 · Content reviewed by AWP Consult, certified enaio partner since 2006

What the AI reads outExample view
Creditorrecognised from master data
IBANmatched against master data
Gross amountread out
Due datecalculated
General ledger accountsuggestion from history
Corrections from accounting flow back into the model
250+
completed projects since 2006
150+
reference customers in the DACH region
12 to 18
months average payback period

The key points at a glance

01

enaio kairos is an AI platform that, as an add-on component for enaio, automatically classifies, indexes and files documents in a structured way.

02

Classification means that the AI recognises the document type, such as invoice, delivery note or contract. Indexing means that it reads out the relevant fields and assigns them as metadata.

03

enaio kairos runs either as a SaaS solution in the cloud or in the classic way on-premise in your own environment.

04

The AI document recognition keeps learning from corrections, so that the hit rate rises over time and manual rework decreases.

05

The goal is straight-through processing, in which a document is classified, read out and filed without any manual intervention. Exceptions are routed specifically to a person.

06

Among AWP Consult customers the introduction pays for itself after 12 to 18 months on average, determined across more than 40 companies.

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What is enaio kairos?

enaio kairos is the AI platform for enaio. It takes on the work that people have so far done when reviewing and tagging documents: recognising documents, reading out fields and filing them in a structured way. In this way an inbox full of mixed documents becomes an orderly, traceable stream in enaio.

01

Automatic classification

The AI recognises which document type it is dealing with and assigns it to the right process and the right file.

02

Automatic indexing

Relevant fields such as creditor, amount, date and document number are read out and assigned as metadata, instead of being typed in.

03

AI document recognition

The recognition is based on trained models and improves continuously through the corrections made by users.

04

Straight-through processing

Where confidence is high, a document runs through without any manual intervention. Only uncertain cases are presented to a person.

Test enaio kairos on your own document types

We check on your real documents how well enaio kairos classifies and reads out, and how much manual work this saves.

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Traditional capture or AI, where is the difference?

Traditional document capture with fixed template recognition reaches its limits as soon as documents look different from what was expected. Every new invoice template, every new supplier and every shifted field means maintenance effort or an error. enaio kairos works in a learning way and copes considerably better with varying layouts, new suppliers and poor scan quality, because it recognises patterns instead of reading out fixed positions. The following comparison shows the differences on the points that most frequently cause extra work in everyday operations.

Criterion Traditional template recognition enaio kairos with AI
New suppliers A new template has to be created Recognition even without a previously known layout
Varying layouts Errors as soon as fields shift Robust recognition through learned patterns
Improvement Only through manual maintenance of the rules Learns from corrections made by users
Classification Manual pre-sorting often required Document type is recognised automatically
Straight-through processing Rarely achievable The goal for confident cases

enaio kairos complements enaio, it does not replace your existing environment.

We will show you what this looks like with enaio in your organisation.

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How does enaio kairos process a document?

enaio kairos processes a document in four steps: recognising the document type, reading out the fields, checking against master data and filing in enaio. The more confident the AI is, the more runs without intervention.

01

Recognise the document type

enaio kairos classifies the incoming document, for example as an invoice, delivery note or contract, and assigns it to the matching process.

02

Read out the fields

The relevant fields are read out using AI and text recognition (OCR), for example creditor, document number, amount and date.

03

Check against master data

The read out values are matched against master data and purchase orders, so that assignment and posting are correct.

04

File in enaio

The document is filed with its metadata in the right file and handed over to the workflow. Uncertain cases go to a person.

What would this look like with your documents? In a workshop we test enaio kairos on your real document types.

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How does AWP Consult introduce enaio kairos?

AWP Consult introduces enaio kairos by defining document types and fields, training the AI on your documents, setting confidence thresholds, establishing the connection to enaio and your business systems and supporting operations. In this way an AI platform becomes a reliable part of your document processes.

Tailor enaio kairos to your processes

We define which document types the AI takes on, how high the confidence threshold is set and where people review.

Arrange a consultation +49 6104 94738-13
01

Cloud or on-premise

enaio kairos can be operated in two ways. Which one fits depends on data protection, existing infrastructure and internal requirements:

The principles for data protection compliant document management apply regardless of the operating model. More on this on the page about GDPR compliant document management.

  • SaaS in the cloudThe service is provided hosted. You get started quickly and do not have to operate your own AI infrastructure.
  • On-premise enaio kairos runs in your own environment. Documents and models stay in-house.
  • Decision supportWe assess data protection, operation and effort, so that the choice fits your requirements.
Practical tip

Start with a few, clearly defined document types such as incoming invoices. In this way the AI shows its effect early, before you add further types.

02

How the AI learns and improves

An AI document recognition is not error free on day one. What matters is that it improves in a structured way:

In this way the share of automated invoice processing grows over time, without you losing control.

  • TrainingThe models are trained on your real documents and document types, not just on general patterns.
  • Feedback from correctionsEvery correction made by a user flows back into the model, so that the hit rate rises.
  • Confidence thresholdYou define from what level of confidence a document runs through without review and when a person decides.
03

Connection to enaio and your business systems

enaio kairos only unfolds its value in interaction with enaio and your leading systems:

We describe the technical side of the connection under enaio interfaces.

  • enaio as the repositoryClassified and read out documents land directly in the right enaio file and in the matching workflow.
  • ERP matchingRead out values are checked against purchase orders and master data from SAP, DATEV or Dynamics.
  • Workflow handoverAfter recognition, the approval or posting process takes over, without a media break.
04

Audit security and traceability

With AI too, the rule applies: whatever is posted and archived must be traceable and audit proof.

The audit proof filing is handled by the AWP DocumentHandler, which can be combined seamlessly with enaio kairos.

  • LogWhich document type was recognised and which values were read out is documented in a traceable way.
  • Audit proof filingThe original document is filed in an unchangeable way, corrections are created as a new version.
  • AuditabilityFor a tax audit it remains apparent how a document was processed.
05

Operation, metrics and step by step expansion

After the start, operation decides the value. enaio kairos is not a project that is set up once and then forgotten, but a service that is monitored and expanded. For this we regularly look at a few meaningful metrics and extend the use where it pays off.

In this way the automated share grows in a controlled and measurable way, instead of an AI running unmonitored in the background. AWP Consult supports this operation and brings in the experience from comparable introductions, so that you do not start from scratch.

  • Hit rate per document typeHow often classification and reading out are correct shows where the AI already carries and where further learning is still needed.
  • Share of straight-through processingThe share of documents that run through without manual intervention is the direct lever for relieving the departments.
  • Exceptions and reworkHow many cases are presented to a person and why shows at which points further training pays off.
  • Step by step expansionOnce a document type is stable, the next one is added, from incoming invoices through delivery notes to contracts and personnel records.
Practical tip

Set fixed points in time at which you look at the hit rate and straight-through processing together. What is visible gets improved.

Would you rather clarify things in person than read on?

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What does enaio kairos work together with?

enaio kairos is designed as an add-on component for enaio and connects to your business systems via standard interfaces. This creates a continuous path from the inbox to posting and filing, without a document having to be printed out, captured by hand or copied into a further system along the way.

enaio

The shared platform for recognition, filing, workflow and archive.

Solutions with enaio

SAP, DATEV, Dynamics

Matching of read out values against purchase orders and master data.

enaio interfaces

AWP DocumentHandler

Audit proof, GoBD compliant filing of the processed documents.

DocumentHandler

Workflows

Handover to approval and posting processes without a media break.

Workflow Management

Which mistakes happen in AI projects in document management?

The most common mistakes with AI in document management are excessive expectations on day one, starting too broadly, missing feedback from corrections, unclear confidence thresholds and an AI without audit proof filing behind it. None of them is down to the technology, all of them can be avoided in the concept.

Expecting zero errors from day one

Consequence
The disappointment is great, the project is abandoned early.
Better
Start with realistic goals and let the hit rate rise through corrections.

Starting too broadly

Consequence
Too many document types at once overwhelm training and operation.
Better
Begin with a few clearly defined types such as incoming invoices and expand.

Not feeding corrections back

Consequence
The AI does not learn and stays at the same level.
Better
Set up the feedback of corrections into the model from the start.

Not setting a confidence threshold

Consequence
Either too many uncertain cases run through or too many end up with a person.
Better
Set the threshold per document type deliberately and readjust it.

AI without audit proof filing

Consequence
Processed, but not traceable and not audit proof.
Better
Place an audit proof, GoBD compliant filing behind the recognition.

Not involving the department

Consequence
The AI makes assumptions that do not hold in everyday operations.
Better
Involve accounting and the department early, they know the exceptions.
Try enaio kairos on your own documents

We test the recognition on your real document types and show how much straight-through processing is realistic.

  • Classification and indexing
  • Cloud or on-premise
  • With audit proof filing
Request a consultation +49 6104 94738-13Mon to Fri 08:30 to 17:00
Conclusion

AI takes on reviewing and tagging

enaio kairos classifies and indexes incoming documents with AI and files them in a structured way in enaio, either in the cloud or on-premise. Over time the hit rate rises, so that more and more documents run through without manual intervention. What matters is a concept that defines what the AI takes on and where people review.

  • Automatic classification and indexing with AI
  • Either as a cloud service or on-premise
  • Learns from corrections, the hit rate rises
  • Straight-through processing for confident cases as the goal
  • Trained by AWP Consult on your document types

Which terms around AI and document recognition should you know?

The most important terms that come up again and again in projects around enaio kairos.

Classification
The automatic recognition of the document type, such as invoice, delivery note or contract.
Indexing
The reading out of relevant fields and their assignment as metadata, by which searching and sorting later takes place.
Straight-through processing
Processing of a document without manual intervention, from receipt through to filing or posting.
Hit rate
Share of documents for which classification and reading out are correct.
Confidence threshold
The value from which the AI is considered confident enough to continue processing without human review.
Text recognition
The conversion from image to text, the basis for reading out scanned documents.
Machine learning
A method in which models learn from examples instead of following fixed rules.
On-premise
Operation of the software in your own environment, in contrast to hosted cloud operation.
SaaS
Software as a Service, the hosted provision of an application as a service.
Straight-through posting
The automatic posting of a verified document without manual intervention in the downstream system.

Unsure where you should start? We will assess your starting position.

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Sources and legal bases

The legal and factual statements on this page are based on these sources. As of November 2026.

Frequently asked questions about enaio kairos

What is enaio kairos?

enaio kairos is an AI platform for enaio that automatically classifies, indexes and files documents in a structured way. It recognises the document type, reads out the relevant fields and hands the document over to filing and workflow, either as a cloud service or on-premise.

What is the difference between classification and indexing?

Classification means that the AI recognises the document type, such as invoice or delivery note. Indexing means that it reads out the relevant fields and assigns them as metadata, for example creditor, amount and document number.

Does enaio kairos run in the cloud or on-premise?

Both are possible. enaio kairos can be operated as a SaaS solution in the cloud or in the classic way on-premise in your own environment. The choice depends on data protection, infrastructure and internal requirements.

How accurate is the AI document recognition?

The accuracy depends on document type, quality and training. enaio kairos keeps learning from the corrections made by users, so that the hit rate rises over time. For confident cases, straight-through processing is the goal, uncertain cases go to a person.

Do I need enaio in order to use enaio kairos?

enaio kairos is designed as an add-on component for enaio. The recognised and read out documents land directly in the matching enaio file and in the workflow.

What is straight-through processing?

Straight-through processing is the processing of a document without manual intervention, from receipt through classification and reading out to filing. It applies to cases in which the AI is confident enough, and you define the confidence threshold.

How is enaio kairos introduced?

AWP Consult defines document types and fields together with you, trains the AI on your documents, sets confidence thresholds, establishes the connection to enaio and your business systems and supports operations. It makes sense to start with a few document types.

Is the AI data protection compliant?

With on-premise operation, documents and models stay in-house. Regardless of the operating model, the principles of data protection compliant document management apply, which we implement together with you. The European EU AI Act sets the framework for this.

Do the documents remain audit proof?

Yes. The original document is filed in an unchangeable way, the processing is logged. The audit proof, GoBD compliant filing is ensured by the AWP DocumentHandler together with enaio.

Which systems does enaio kairos work together with?

With enaio as filing and workflow, as well as with leading systems such as SAP, DATEV and Microsoft Dynamics 365 for matching read out values against purchase orders and master data.

When does enaio kairos pay off?

This depends on document volumes, document types and the straight-through processing achieved. Among AWP Consult customers the introduction pays for itself after 12 to 18 months on average, determined across more than 40 companies.

Sounds like a fit for your company? Let us talk about it.

Request a consultation +49 6104 94738-13

Related topics that save real money

Automated invoice processing with AIHow AI reads out, checks and posts incoming invoices.Automated document processingFrom the inbox to the archive without manual typing.AI in document managementWhere AI concretely provides relief in enaio today.enaio interfacesConnection to SAP, DATEV and Microsoft Dynamics 365.

Experience enaio kairos on your own documents

In a workshop we test the classification and the reading out on your real documents and show how much manual work enaio kairos saves and how much straight-through processing is realistic in your case. You see the result on your own documents, not on a demo with sample documents.

Arrange a consultation
  • Test on your real document types
  • Cloud or on-premise
  • Result: a clear next step
Your certified partner for audit-proof document management, ECM and DMS in the DACH region since 2006.
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250+ COMPLETED PROJECTS SINCE 2006
Average payback of 12 to 18 months at 40+ companies

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