The appraiser's report based on Autovista or Eurotax, the seller's invoice, vehicle registry data and the insurance policy each contain a VIN, an owner and an amount that must match the contract in Soft4Leasing. A private model cross-checks them against each other, and mismatches and policies about to expire go to an employee's list for approval.
Built for ISO 27001NIS2 DORA
A leased asset comes with several documents from different sources: the appraiser's report with the Autovista or Eurotax market value, the seller's invoice, the vehicle registration certificate, for real estate a land registry extract, the insurance policy and its renewals every year. An employee checks whether the VIN or serial number matches in all of them, whether the owner in the vehicle registry is the leasing company, whether the insured amount is at least the contract balance in Soft4Leasing, whether the beneficiary is stated correctly in the policy and whether the policy is still valid. With thousands of contracts, expired policies are found late, and an error in the beneficiary field comes to light only when an insured event occurs.
A private model on Amazon Bedrock in an EU region receives documents from e-mail, the partner portal and insurers' files, identifies the type and extracts the fields: VIN or serial number, owner, value, insured amount, beneficiary and expiry date. It then cross-checks the fields against each other, against vehicle registry or land registry data through your access, against the Autovista or Eurotax value in the appraiser's report and against the contract data in Soft4Leasing or Business Central. Every mismatch, missing document, or policy that expires within the period you set goes to the responsible employee's list with an explanation and a link to the place in the document. The employee confirms that the document is in order or contacts the customer, the seller or the insurer. The system never changes the contract status in Soft4Leasing itself. We connect to Soft4Leasing through the Business Central API, a file export or an e-mail flow, depending on the version. Data does not leave the EU, is not used for training, and every check is logged in line with GDPR and DORA.
Four steps from input to a record in your system, with human approval wherever there is risk.
The flow picks up documents from e-mail, the partner portal and files sent by insurers, and assigns them to the contract in Soft4Leasing by number or VIN. Scanned documents are converted to text. Through your access it pulls vehicle registry or land registry data on the asset. Policy renewals are attached to the same contract, so the history is visible in one place.
The private model extracts the VIN or serial number, owner, value, insured amount, beneficiary and expiry date from each document and compares them with each other, with vehicle registry or land registry data, with the Autovista or Eurotax value in the appraiser's report and with the contract data in Soft4Leasing. Under your rules it checks that the insured amount covers the balance and that the beneficiary is correct.
Mismatches, missing documents and policies that expire within the set period appear in the responsible employee's list in Teams or Business Central, with an explanation and a link to the document. The employee confirms the document, marks an error or creates a request to the customer, the seller or the insurer. Only the employee changes the contract status in Soft4Leasing.
A document that the model cannot recognise with confidence goes to a manual queue without any fields extracted. If the vehicle registry or land registry is unavailable, the check is marked as incomplete. Every check and decision is logged. We monitor recognition quality, add the policy forms of new insurers and change the rules when your insurance requirements change.
Automatic intake of appraisals, invoices and policies from e-mail, the portal and insurers, pulling vehicle registry or land registry data through your access, and assigning everything to the contract in Soft4Leasing.
Your rules for checking the VIN, owner, Autovista or Eurotax value, insured amount, beneficiary and expiry date, with an explanation next to every discrepancy.
A list of open discrepancies and expiring policies in Teams or Business Central, with approval, an error flag and request creation in one step.
A log of checks and decisions for GDPR and DORA audits, adding new insurers' forms and updating the rules.
A private model on Amazon Bedrock in an EU region + contract data from Soft4Leasing or Business Central, vehicle registry and land registry data through your access, and the Autovista or Eurotax value from the appraiser's report. We connect to Soft4Leasing through the Business Central API, a file export or an e-mail flow, depending on the version, and choose the method after a check. Read more about this service and its limits on the service page.
No. The system only flags discrepancies and expiring policies in the employee's list. A person changes the contract status in Soft4Leasing, writes to the customer and deals with the insurer under your procedures.
We take vehicle registry and land registry data through the access and contracts you already have, and the Autovista or Eurotax value from the appraiser's report or your export, depending on your licence. We start with the policy forms of the insurers you use most, based on samples, and add new ones through ongoing support. Forms that the model cannot recognise with confidence go to a manual queue instead of being filled in by guesswork.
The documents contain personal data and contract terms, so the model runs on Amazon Bedrock in an EU region, where data does not leave the EU and is not used for training. If needed, we implement the same solution in the MDP CLOUD GPU cloud in Lithuania (EU).
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This service is delivered by specialists with valid international certifications. Their expertise is confirmed by independent organisations, not by us.
AI systems are deployed with protection against data leakage and model abuse.
The AI security programme and its controls are managed following the ISACA methodology.
AI risks are identified and managed like any other IT risk.
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