Lintel360.ai capability

Ask your housing data a question, in English

No report writer, no ticket, no waiting. Type the question the way you would say it out loud and get an answer you can act on in seconds.

Colleagues asking questions of their housing data on laptops

Why plain-English querying matters in housing

It's a queue problem, not a reporting problem

Most housing providers do not have a reporting problem so much as a queue problem. The data exists, but getting a question answered means raising a request, waiting for someone with the right tool, and often discovering the answer arrived too late to act on. Lintel360.ai removes the queue — the people closest to the problem ask the question themselves, in their own words, and get an answer they can evidence.

The questions this actually answers

It is strongest on the cross-cutting questions that separate systems make painful: properties with both an overdue certificate and an open case, arrears trends by patch against last year, void turnaround compared across schemes, or complaints approaching a statutory deadline. These decide where attention goes this week — they should not take a fortnight to answer.

  • Secondsto an answer
  • 0report requests
  • PlainEnglish in, data out
  • Everyanswer traceable
  • Notting Hill Genesis
  • A2Dominion
  • Westward
  • Kāinga Ora
  • Raven Housing Trust
  • Inclusion Housing
  • City of Westminster
  • Sage Homes
  • HAUSIN

What it means

For the resident

Decisions about your home are made from what the data actually says, not from whoever could get a report written.

For your Any team, from repairs to the executive

Ask the question the way you would say it out loud and get an answer in seconds, without raising a ticket.

Questions your team already asks, answered directly

Colleagues checking the same answer on two devices

The question, not the query

Ask “which properties have an overdue gas certificate and a live damp case?” — the phrasing is yours, not a report specification.

Follow-ups keep context

Narrow by patch, tenure or date without starting again. The conversation holds the thread the way a colleague would.

Built on your live data

Answers come from the operational record, not a warehouse refreshed overnight, so what you see is what your team is working from.

Anyone can use it

Housing officers, income teams and board members ask directly, instead of joining a queue for someone who knows the reporting tool.

What Lintel360.ai covers for plain-English querying

  • Plain-English questions across tenancy, repairs, assets, income and cases
  • Follow-up questions that keep the context of the previous answer
  • Results as tables, charts or a single figure, depending on the question
  • Export to Excel, Power BI or a board pack
  • Role-based access so people only query what they are entitled to see
  • Every question and answer logged for audit

How it works

The path a case takes from the moment it arrives, and what happens automatically at each step.

  1. Ask

    Type the question in the words you would use with a colleague.

  2. Check

    The generated query is shown alongside the answer, so the logic is visible rather than assumed.

  3. Act

    Export it, share it, or turn it into a saved view your team can re-run.

Before and after: plain-English querying

Every system demonstrates well. What matters is the difference in an ordinary working week — the steps that disappear, the chasing that stops, and the questions your team can answer on the spot instead of promising to look into it.

A team working through an answer together
TodayWith Propsys360
A question means raising a request and waiting for the reporting team.The person with the question asks it themselves and acts on the answer.
Cross-system questions cannot be answered at all.Repairs, compliance and tenancy are queried together.
The answer arrives after the moment it was needed.Seconds, from live operational data.

What natural-language querying has to get right

Housing runs on specifics — statutory timescales, tenure types, the return that has to be filed next month. This is the detail that decides whether a system survives contact with your operation, and the reason a general-purpose platform usually cannot.

  • Questions in the words your team already uses
  • Follow-up questions that keep context
  • Queries spanning tenancy, repairs, assets and income
  • Results as a figure, a table or a chart
  • Export to Excel and Power BI
  • Role-based access applied to every answer
  • Saved views your team can re-run
  • Full logging of questions and answers

More of Lintel360.ai

Every capability answers questions against the same housing data, inside your own environment. They are parts of one product rather than modules to license separately.

Integration Platform & Tools

Fits what you already run

Propsys360 connects to the housing, finance, field and compliance systems you already use, orchestrates the processes between them, and replaces the legacy platforms you want to leave behind.

25+Systems we integrate with 15+Systems we migrate from
  • Microsoft and data
  • Finance and payments
  • Repairs and contractors
  • Residents and compliance
See all integrations and open standards →

Trusted housing technology for housing associations, councils and public-sector landlords

  • 557KTenants supported
  • 1.5M+Repairs managed
  • £57M+Repairs processed p.a.
  • 4.75MCustomer cases
  • 500KArrears cases managed
  • G-Cloud 15 Supplier
  • Microsoft Solutions Partner
  • Cyber Essentials Plus Certified
  • Cyber Essentials Certified
  • ISO 9001
  • ISO 27001
  • ISO 20000-1
  • ISO 14001

The difference it makes

82%of tenant contact handled through self-serviceProportion of tenant interactions resolved via the resident portal rather than the contact centre
30%saved on maintenance and support costsMaintenance and support spend after triage, scheduling and contractor management were brought together
50%of core processes automatedCase management deployment — proportion of routine tenancy tasks handled without manual steps

Source: Results reported by housing providers using Propsys360; illustrative where stated. Individual results vary.

What housing providers say

Named people at named organisations, in their own published words.

“We realised that we had a gap around the golden thread of data, in terms of the availability and accessibility of the data we held in seventeen different systems… That meant colleagues could immediately see all non-compliant properties.”
Notting Hill Genesis logo

Jake Le Page Head of Building Safety Regulations Notting Hill Genesis

“Neo brought strong Dynamics 365 expertise, worked collaboratively with our internal teams and applied Microsoft best practice within a live operational environment… We would be pleased to recommend them as a Microsoft Dynamics 365 partner within the housing sector.”
Sage Homes logo

Wayne Human Head of IT Change Sage Homes

“The successful deployment of this solution has significantly increased transparency and improved the operational efficiency of our contact centre, allowing us to deliver greater value to our customers.”
VIVID

Philip Wragg Infrastructure Programme Manager

“The Neo Technology model allows us to scale our development capacity, accelerating our transformation programmes while future-proofing our business, while achieving substantial industry cost savings.”
Notting Hill Genesis logo

Group CIO Notting Hill Genesis

Proof from housing providers

Frequently asked questions

Do we need technical skills to use it?

No. That is the point. You ask in plain English and Lintel360.ai builds the query for you — but it shows you the query it built, so a technical colleague can verify the logic if the answer matters.

How accurate is it?

Accuracy is benchmarked nightly against a housing-specific test set. Where a question is ambiguous, it asks you to clarify rather than guessing and returning a confident but wrong number.

Can it answer across modules?

Yes — that is where it earns its place. Questions that span repairs, compliance and tenancy are exactly the ones that are hardest to answer from separate systems.

What if it cannot answer?

It says so. It will not invent a figure. An unanswerable question usually points at missing or inconsistent data, which is useful information in itself.

See it answer your questions

Bring three questions your team struggles to answer today, and we will run them in a 30-minute session.

Get the guide

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