The Renters' Rights Act came into force in England on 1 May 2026, bringing new requirements for landlords and letting agents. For most existing tenancies, the official Renters' Rights Act Information Sheet had to be provided to tenants by 31 May 2026, with fines of up to £7,000 for failing to do so. Where a letting agent manages a property, the agent must provide the Information Sheet even if the landlord has already done so. The document must be provided as the official PDF, either as a physical copy or as an electronic attachment. Sending a link to the PDF does not count.
That may sound like one more compliance task. At scale, it becomes an administrative workload. Each tenancy can involve documents arriving by email, being checked, entered into systems, shared with the right people, and stored for future reference. The number of people available to handle that work does not necessarily increase with paperwork volume.
That is where UK property letting administration gets more complicated. The challenge is not simply having documents to deal with. It is keeping the information inside those documents moving accurately through the business without adding more manual work to every tenancy.
Key Takeaways:
- Tenant referencing checks an applicant's identity, income, employment, and rental history before a tenancy is granted.
- The Renters' Rights Act came into force on 1 May 2026, with new administrative requirements and fines of up to £7,000 for certain breaches.
- Document extraction can be automated, but statutory checks cannot. Parseur extracts and organises information from documents, but it does not perform Right to Rent checks or make legal or referencing decisions.
- Parseur keeps the workflow focused on the paperwork. It can extract information from application documents and send structured data to the systems an agency already uses.
- The goal is less manual data entry. Automating repetitive document handling can help teams spend less time copying information between documents and systems.
What Is Tenant Referencing?
Tenant referencing is the process a UK letting agent carries out before granting a tenancy to assess an applicant's suitability. It typically involves verifying information such as the applicant's identity, income, employment, and rental history using documents and information supplied by the applicant.
Tenant referencing has two distinct parts. The first is reading and extracting information from documents, such as payslips, bank statements, and proof of identity, which can be automated. The second involves making statutory or tenancy-related determinations based on that information, which requires appropriate human judgement and is not Parseur's role.
What Documents a Tenant Referencing Pack Contains
A tenant referencing pack can contain several documents, each providing a different piece of information about an applicant. For a letting agent, the challenge is often not receiving the documents but finding the relevant details across different formats, layouts, and sources. In the UK Government's Right to Rent evaluation, 41% of respondents said they had been asked to provide documentation or other proof during the rental process, with requests including proof of income, employer references, and previous landlord references.
| Document | Fields that matter | Who needs them |
|---|---|---|
| Application form | Applicant name, contact details, current address, employment details, income, proposed tenancy details | Letting agent, Referencing team |
| Photo ID or passport | Full name, date of birth, document number, nationality, expiry date | Letting agent, Referencing team |
| Bank statements | Account holder, statement dates, income payments, regular commitments, transaction history | Letting agent, Referencing team |
| Payslips | Applicant name, employer, pay period, gross pay, net pay, deductions | Letting agent, Referencing team |
| Employer letter | Employer name, job title, employment status, start date, salary | Letting agent, Referencing team |
| Previous landlord reference | Previous address, tenancy dates, rent payment history, conduct of the tenancy | Letting agent, Referencing team |
| Tenancy agreement | Tenant and landlord details, property address, rent, tenancy dates, agreed terms | Landlord, Letting agent, Tenant |
The information in these documents is often repetitive, but rarely presented the same way. One applicant might submit a digitally generated payslip, another a scanned copy, and another a PDF from a payroll portal. Bank statements and references can vary just as much. This makes document reading and data entry a practical target for automation, while decisions based on that information remain a separate human responsibility.
Why Is Typing the Slow Part?
A credit check itself can be completed quickly through a referencing provider. The slower part often comes afterwards, when someone has to open the supporting documents, find the relevant information, and type those details into the agency's CRM or referencing system. Then the same process may need to be repeated for a guarantor, with another set of documents and another set of fields to enter.
This is where the administrative workload can hide. The information already exists in the documents, but someone still has to read it, identify the right fields, check that the details are in the expected format, and transfer them into another system. When that happens across many applications, the individual task may seem small, but the repeated work adds up.
Parseur's own 2025 survey of 500 U.S.-based professionals found that manual data entry costs American companies an average of $28,500 per employee each year. The same survey found that employees spend more than nine hours a week transferring data from emails, PDFs, spreadsheets and scanned documents into digital systems.
The point is not that tenant referencing can be reduced to data entry. The checks and decisions still require appropriate judgement. The opportunity is narrower and more practical: when information has already been supplied in a document, there is little value in having a person repeatedly retype the same fields into another system.
How Document Extraction Fits a Referencing Workflow
A document extraction workflow can sit between the applicant's email and the systems a letting agent already uses. Instead of opening every attachment and manually copying the same fields, the system can capture, process, check, and pass on the documents as structured data.
- The application email arrives. The applicant sends the application and supporting documents, such as payslips, bank statements, ID, or references, as email attachments. Parseur can capture emails and attachments as part of the document intake process.
- The documents are classified and processed. The workflow identifies the document type and selects the appropriate parsing approach.
- The required fields are extracted. Names, dates, addresses, employment details, income figures, and other relevant fields can be extracted into a defined structure. Parseur's AI engines can work without templates by using field names and instructions.
- Structured data is exported. Once processed, the information can be sent to the CRM, spreadsheet, database, or another connected system through available export and integration options.
The real test is not a perfectly formatted payslip that looks the same every time. It is the free-text landlord reference that arrives as an email, or a bank statement from a provider with a layout the workflow has never seen before. Template-based extraction can work well when layouts are fixed, but it generally requires a template for each distinct layout. AI extraction is useful here because it can work across varied layouts without creating a new template for every format.
That does not mean you should trust every document blindly. Unusual documents still need appropriate validation and review, particularly when the extracted information will be used as part of a wider referencing process. Document extraction has a narrower role: it takes the repetitive work of finding and structuring information out of the process, while leaving the actual referencing decisions to the people responsible for making them.
If the Software Misreads a Document, Who Carries the Risk?
The letting agent does. Using document extraction software does not transfer regulatory responsibility to the software provider, and no automation tool can remove the need for appropriate checks and judgement. If information is extracted incorrectly, responsibility for deciding whether it is accurate and suitable for the referencing process still sits with the people responsible for the process.
That is why a workable document automation process needs more than extraction. The original document should remain available alongside the extracted information, while validation, processing logs, and clear exception handling give teams a way to identify and investigate problems rather than allowing them to pass silently into downstream systems. Parseur provides processing logs, validation features, alerts, and audit trails so teams can see what happened during document processing and investigate failures when they occur.
The risk is not theoretical. Parseur's own 2026 survey of 500 U.S.-based professionals working in document-heavy workflows found that 88% reported encountering errors in document-derived data at least sometimes.
Data protection is another part of the equation. Tenant referencing packs can contain identity information, financial records, employment details, and other personal data, so agencies need to consider how they store, process, access, and delete documents. Parseur states that its infrastructure is hosted in the EU and supports GDPR requirements. SOC 2 Type II certification is in progress. Parseur also offers configurable retention periods as low as one day.
The practical lesson is straightforward. Automation should reduce repetitive document handling, not remove accountability. For a referencing workflow, the safest approach is to automate the extraction and movement of information while keeping the original evidence, validation, logs, and appropriate human review in the process.
What This Does Not Do
Right to Rent. Parseur can read information from an identity document and turn the contents into structured data. It does not determine whether someone has the legal right to rent in England. For people who need an online check, landlords and agents use the Home Office online Right to Rent service, including the share code process, and the responsible landlord or agent remains responsible for carrying out the required checks. See our guide to automating Right to Work document verification for more on the document extraction side of those checks.
Notices and possession. Parseur does not generate legal notices or calculate statutory notice periods. Section 21 previously allowed landlords to end a tenancy without giving a specific reason, commonly known as a "no fault" eviction. Under the Renters' Rights Act, Section 21 was abolished as of 1 May 2026, and possession proceedings now operate through Section 8, which requires the landlord to cite a specific ground for possession, such as rent arrears or breach of tenancy terms. The specific grounds, notice periods, and procedures depend on the circumstances, so agents should refer to current government guidance or obtain appropriate legal advice.
Legal advice. This article describes a document workflow, not a compliance opinion. Parseur can help extract and organise information from documents, but it does not decide what the law requires in a particular tenancy. Letting agents should confirm their obligations with their professional body or solicitor, particularly where the rules or circumstances are unclear.
Setting It Up Without a Proptech Budget
You do not need a large proptech project to automate the document-heavy parts of tenant referencing. For a six-person letting agency, the basic setup can be relatively simple: create a dedicated mailbox for application documents, use a forwarding rule to send incoming files to Parseur, define the fields the team needs, and choose where the extracted data should go.
The destination can be the CRM, spreadsheet, database, or another system the agency already uses. If the CRM does not have a direct integration, tools such as Zapier, Make, or Microsoft Power Automate can connect the extracted data to the existing workflow.
The sensible way to test it is not to start with the cleanest application pack. Use the agency's own worst-quality example instead. Pick an application with a mixture of PDFs, scans, different bank statement layouts, payslips, and a free-text reference, then run it through the workflow. A free tier or small test is enough to see what extracts well, what still needs human review, and whether the time saved justifies rolling it out further.
The goal is not to replace the referencing process. It is to remove the repetitive typing and document handling around it, so the team can spend more time on the parts that actually require judgement.
Where the Referencing Data Lands
Once the relevant fields have been extracted, the data does not have to stay in Parseur. It can be exported to a spreadsheet, sent through automation platforms such as Zapier, Make, or Microsoft Power Automate, or delivered to another supported application. Parseur supports common integrations including Airtable, HubSpot, Monday, QuickBooks, Salesforce, SharePoint, Xero, and Zoho.
For a UK lettings system without a documented direct integration, the more flexible route is a webhook or API. Parseur can send the extracted data as JSON to an endpoint you control, allowing the agency or its developer to map those fields into its CRM, referencing provider, property management system, or internal database. Its API can also manage documents, retrieve parsed results, and work with webhooks programmatically.
The key point is that the destination does not need to change just because the document workflow does. Parseur handles the extraction layer, while the agency can keep using the CRM, referencing provider, or property management system already built into its process.
Last updated on
