Mimasa AI™
Cross-Functional Solution

AI Document Automation Connected To Enterprise Knowledge

Extract, understand, compare and validate information from enterprise documents. Mimasa AI connects the result with trusted knowledge, people and controlled workflows.

Document intelligence | Knowledge automation | Validation | Comparison | Approval workflows

Source documentExtracted fieldsDocument typeInvoiceReferenceMatchedTotal valueCheckedDatesCompleteLine itemsReviewValidationRules appliedEvidence keptExceptions listedHuman reviewAssigned ownerApprove or returnApproved actionTask created · Knowledge answer cited · Connected system updated
Definition

What Is Document Automation?

Document automation uses software to complete repeatable document tasks. It can capture, classify, extract, compare, validate and route information.

Use intelligent document automation across finance, sales, procurement, legal and operations. Keep consequential decisions with authorised reviewers.

Documents, AI And Knowledge Together

AI document processing adds an ability to understand varied layouts and language. It can also summarise content and prepare a next step for review.

Knowledge automation makes approved information easier to retrieve and use. It should preserve access controls and show supporting context.

Mimasa connects both parts. Documents become usable information that can support an approved business workflow.

Manual Effort

Turn Documents Into Reviewable Work

Important information often sits inside PDFs, scans, forms, spreadsheets and images. People must read, copy and check it before work can continue.

This is document processing automation with clear ownership. Each result can retain its source, confidence, status and review history.

  1. 01Receive a document or knowledge request.
  2. 02Identify the document and required process.
  3. 03Extract configured fields, tables and relationships.
  4. 04Compare information with rules or approved data.
  5. 05Flag missing, unclear or inconsistent details.
  6. 06Present the result with source context.
  7. 07Route the review to the right person.
  8. 08Trigger only an approved task or system action.
Six-Step Process

How AI-Powered Document Automation Works

  1. Step 1

    Ingest

    Receive authorised PDFs, scans, forms, spreadsheets, images or enterprise records.

  2. Step 2

    Extract

    Capture configured text, fields, tables, dates, entities and relationships.

  3. Step 3

    Understand

    Classify the document and connect its information with the relevant business context.

  4. Step 4

    Validate

    Check required details against rules, another document or approved enterprise data.

  5. Step 5

    Approve

    Ask an authorised person to review exceptions and consequential decisions.

  6. Step 6

    Act

    Create a task, update a report or trigger a permitted action in a connected system.

Cognitive document processing helps with varied content. It must not hide uncertainty or missing evidence.

See How Mimasa Connects Data, Agents And Workflows →
Use Cases

Document And Knowledge Automation Use Cases

Enterprise document automation can support many departments. The process changes, but the need for evidence and control remains.

01

Intelligent Document Processing

Capture, classify and extract information from documents with different formats. Validate configured fields and route exceptions for review.

Mimasa connects intelligent document processing with enterprise data and workflow actions. It does not promise perfect extraction.

Automate KYC document intake and onboarding workflows
02

Document Classification And Routing

Use AI document classification to identify an approved document type. Start the right workflow or ask a person to review an unclear result.

Automated document classification can reduce manual sorting. The assigned process still controls access and action.

Automate loan documents and processing workflows
03

Document Comparison And Validation

Compare fields, clauses, requirements or document versions. AI document comparison can highlight differences and prepare evidence for review.

AI document validation can check configured facts against rules or approved records. People decide how to handle conflicts.

Prepare source-linked financial analysis and credit memos
04

Contract Analysis

Extract clauses, dates, obligations and other configured information. Contract review automation can organise a first review and route important terms.

Mimasa does not provide legal advice. Qualified people interpret the contract and approve actions.

05

Enterprise Knowledge Assistant

Ask questions across authorised documents and connected knowledge. Receive a concise answer with supporting context where available.

An enterprise AI assistant should respect source permissions. People verify important answers before consequential use.

06

Document Approval Workflows

Route extracted information, drafts and exceptions to the assigned reviewer. A document approval workflow records status and continues only after the required response.

Document Intelligence

Document Intelligence With Source Context

Document intelligence turns unstructured content into information that a person or workflow can use. It links extracted details with their source.

A document intelligence platform may focus on extraction and understanding. Mimasa also connects the result with agents, people and approved actions.

AI document intelligence depends on source quality and the configured task. Important results should remain reviewable.

The same controls support source-grounded wealth management intelligence across approved client files, policies, agreements, and review material.

Automate document processing across banking operations →
  • Document type and process identification.
  • Field, table and relationship extraction.
  • Entity, date and requirement detection.
  • Cross-document and version comparison.
  • Required-field and business-rule checks.
  • Missing-information and exception lists.
  • Source-linked summaries and reports.
  • Tasks, approvals and execution records.
Knowledge

Knowledge Automation With Controlled Access

Knowledge automation helps teams retrieve and use approved information. It reduces repeated searching across files, systems and conversations.

Knowledge intelligence adds relevant context to a question or workflow. It can show the source used for an answer.

Knowledge management automation should preserve existing access controls. A person without permission should not gain access through an assistant.

Mimasa can complement a knowledge automation platform or document repository. It does not replace the source system.

  • Policies and procedures.
  • Contracts and commercial documents.
  • Product and technical information.
  • Project and operational records.
  • Reports and presentations.
  • Approved databases and business applications.
  • Past tasks, decisions and discussions where permitted.
Human Control

Document Workflow Automation With Human Control

Document workflow automation defines what happens after a document arrives or a person asks a question. It connects extraction, checks and review.

Workflow StepWhat Mimasa Can DoHuman Control
IntakeIdentify the document and processReview unsupported or unclear types
ExtractionCapture configured fields and tablesConfirm low-confidence or critical data
ClassificationSelect an approved routeCorrect unclear classifications
ComparisonHighlight differences with source contextInterpret material differences
ValidationApply configured rules and data checksResolve conflicts and exceptions
ActionPrepare a task or permitted system updateApprove consequential action

An automated document workflow should stop when required evidence is missing. Document compliance automation can check defined requirements. It does not provide a legal or regulatory conclusion.

Build purpose-specific AI agents·Create controlled document workflows

AI Agents

AI Agents For Document Processing

An AI document assistant helps a person with one task. It may find information, summarise a document or compare two files.

AI agents for document processing can complete several approved steps. An agent may:

  • Receive and identify a document.
  • Extract configured information.
  • Use approved knowledge or business data.
  • Compare, classify or validate the result.
  • Create an exception list or draft output.
  • Route a review task.
  • Stop when evidence or permission is missing.
  • Trigger a permitted action after approval.

Generative AI for documents can prepare summaries or drafts. People verify facts, rights, commitments and business meaning.

Around Your Systems

Document Automation Software Around Existing Systems

Organisations already use document repositories, content systems and business applications. Moving every file into another system may not solve the workflow problem.

Mimasa acts as a document automation software layer around approved sources. It can combine:

  • Data and document extraction.
  • Classification, mapping and validation.
  • Document and knowledge intelligence.
  • AI agents and workflow rules.
  • Human approvals and exception handling.
  • Reports, tasks and controlled system actions.
  • Source, review and execution records.

AI document management should not bypass access rules. Mimasa applies the assigned user's and workflow's permissions.

Governance

Security, Governance And Deployment

Enterprise documents may contain personal, legal, financial and confidential information. Access must be controlled.

The organisation decides who can see a document and who can approve an action.

Govern Document Data And Agent Access →
  • Role-based access.
  • Approved source and tool access for each agent.
  • Human approval steps.
  • Source, activity and execution records.
  • Controlled system and external actions.
  • Cloud, private-cloud and on-premise deployment.
Start Focused

Start With One Document Process

Start with work that requires repeated reading, copying or checking. Define the expected result before building the workflow.

This makes business document automation easier to control and improve.

  1. 1Choose a document type and business outcome.
  2. 2List the sources, systems, fields and reviewers.
  3. 3Define extraction, comparison and validation rules.
  4. 4Add approval steps for consequential decisions.
  5. 5Test common layouts, exceptions and missing information.
  6. 6Monitor results before expanding.

Frequently Asked Questions

Common questions about document automation, document intelligence, knowledge automation and human control.

Start With One Process

Choose One Document Process To Automate

Bring a document, knowledge or approval workflow. We will show how Mimasa can extract information, apply controls and connect the next action.

See the operating model behind connected documents, AI agents, governed workflows and human approval.

See How Mimasa Works →