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Contract and Expiry Date Monitoring with AI

This agent reads contract details (term, notice period, renewal conditions) and flags well ahead of the deadline that a decision is needed, so contracts don't auto-renew unintentionally or get cancelled too late.

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At a glance

ca. 3-5 uur/week [indicatie]

time saving

Kwalitatief: voorkomt gemiste opzegtermijnen en ongewenste automatische verlengingen; exacte besparing hangt af van aantal en waarde van contracten

expected ROI

Live in 3 weeks

from intake to production

GDPR-compliant

EU hosting & human-in-the-loop

Time savings and ROI are indicative and depend on your process, data and volume.

Before & after

From manual to automatic

Without AI Agent

Notice periods get missed due to scattered overview

  • Contracts are spread across email, folders and systems with no central overview
  • Notice periods of 1-3 months before the end date are easily overlooked
  • Automatic renewals lead to unnecessary costs for services no longer needed
  • Knowledge about ongoing contracts often gets lost during staff turnover
With Contract and Expiry Date Monitoring

Central overview with automatic deadline flagging

  • Records term, notice period and renewal conditions centrally per contract
  • Sends a timely warning to the responsible person before the notice period starts
  • Tracks whether a decision (cancel, renegotiate, renew) has been made and executed
  • Provides an up-to-date overview of all active contracts and their status

Workflow

How it works

See how the agent moves through the process step by step — you stay in control of every decision.

Workflow in action

Contract and Expiry Date Monitoring · Tracks contract end dates and notice periods and warns in time before a deadline passes

Contract is added or read in with term and notice period

api

Step 1 of the automated process.

Agent calculates the relevant deadline moments per contract

analysis

Step 2 of the automated process.

Responsible person receives a timely warning (e.g. 90 and 30 days ahead)

data

Step 3 of the automated process.

Decision (cancel, renegotiate, let continue) is recorded

output

Step 4 of the automated process.

Contract status is updated in the central overview

api

Step 5 of the automated process.

Periodic report shows all active contracts and upcoming deadlines

analysis

Step 6 of the automated process.

0

Steps completed

6

Total steps

What it delivers

Where the gains come from

[Estimate] The direct savings come from preventing contracts that unintentionally continue or get cancelled too late. Since this depends heavily on the number and type of contracts an organization holds, we don't give a fixed figure but a realistic expectation based on comparable implementations.

significantly reduced [estimate]
Missed notice periods

through structural, timely flagging per contract

prevented where possible [estimate]
Unwanted renewals

savings depend on how many contracts currently auto-renew unintentionally

centralized and current
Overview and handover

less dependency on individual knowledge during staff turnover

Figures are indicative and depend on your processes and volume.

Integrations

Works with your software

Works with existing document storage and calendars, no separate new contract system needed

Document management

SharePointGoogle DriveOneDrive

Calendar and tasks

OutlookGoogle CalendarTrello/Asana
Frequently asked questions

Frequently asked questions

Does the agent automatically extract all contract details from a PDF?

The agent can help extract contract data from documents, but for complex or unclear clauses a human check remains necessary before data is recorded as final.

Does the agent cancel contracts itself?

No, the agent flags and reminds; the actual cancellation or negotiation remains an action taken by the responsible staff member.

What if a contract has no fixed end date?

Contracts with rolling renewal or variable terms can also be recorded, with a manually configured review moment.

Does this work for large numbers of contracts?

Yes, the overview is specifically meant to make scale manageable; for very large contract volumes the implementation is rolled out in phases.

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