Turn documents into a workflow step
A PDF received by email may contain information to find, check and enter elsewhere. An AI agent can prepare that extraction and propose structured output for the next step, within defined document types and rules.
AI and automation
Let AI prepare information without giving up control
02
Extraction is not validation
Reading, extracting and checking are separate stages. Expected formats, required fields, consistency and source references help validate the output. Uncertain information should be flagged or escalated, not presented as fact.
03
Prepare content and responses
Using authorised information, an agent can draft content, classify a request or prepare a reply. Sending and publication remain subject to the agreed approval level.
04
Fit into the existing process
Validated information can move into business software or a controlled MCP action. Scope also needs unsupported-document handling, confidentiality, retention and protection against malicious instructions in incoming content.
Integration map
An agent inside your workflow
The agent reads what comes in, prepares structured output and passes it to the next step — with a person wherever uncertainty or risk calls for one.
What comes in
- Emails
- PDFs and scans
- Phone calls
- Web forms
- Team chat
- Schedule
AI agent
AI agent
- 01Understand
- 02Decide
- 03Act
Rules, limits and audit log
Human
MCP server
Allowed actions
- get_file()
- update_file()
- draft_follow_up()
- Read
- Create
- Update · with approval
Your tools
- CRM
- Accounting
- Calendar
- Documents
- Business software
Mortgage broker
Loan files
Documents sent by customers are read, checked and entered into the relevant systems.
The path, step by step
- AI01
Reads payslips, IDs and bank statements, then extracts the relevant fields.
- Check02
Checks completeness and consistency: amounts, dates, matching names across documents.
- Human03
Uncertain fields are flagged to the broker, who confirms or corrects them.
- MCP04
Validated data is entered into the CRM and the loan file software.
- AI05
A follow-up for missing documents is prepared as a draft.
Autonomy levelSafe fields entered automatically, the rest approved by a person
Illustrative scenarios: every setup is scoped to your tools, your access rights and your rules.
A real example: AJD Finances, a mortgage broker
For AJD Finances, a mortgage broker, an AI agent processes documents uploaded by customers, extracts key information and enters it into various systems. This illustrates the connection between document understanding and operational work.
Frequently asked questions
Which PDFs can be processed?
That depends on structure, quality and purpose. Representative samples help assess limits, including scanned documents.
Can the agent understand every email?
No. Scope should define categories, attachments, languages and situations that need human handling.
Is extracted data always correct?
No. Validation and explicit uncertainty handling are essential, especially for sensitive or financial information.
Can it send replies automatically?
Only where that permission is explicitly agreed and controlled. Drafts with human review may be more suitable.
Can confidential data be processed?
That depends on providers, access, contracts and the legal basis. These must be reviewed before data is shared.
Related pages
AI and automation
AI agents, document processing, custom MCP servers and AgendIA. Practical ways to embed AI in business workflows with the controls they need.
MCP servers
Give AI agents controlled actions in your business tools: create leads, prepare customer replies or trigger internal workflows through a custom MCP server.
Business software
CRM, invoicing, customer records and integrations. ArkiPay designs software around your workflows to reduce duplicate entry and support follow-up.
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