Insights·21 October 2026·13 min read

ARGUS vs Excel vs AI-Native Asset Management: What UK Living-Sector Owners Need in 2026

The short answer: ARGUS vs Excel is rarely either-or. ARGUS Enterprise, the cash flow and valuation software made by Altus Group, is the market standard for commercial property valuation, and UK lenders and valuers commonly expect it. Spreadsheets handle flexible, unit-level models. For living-sector assets, we think the bigger question is who runs the asset, and from what data.

By Sooraj Rup, Founder, Edoras Asset Management. Published 21 October 2026.

This article compares three ways of doing the work, not three products. ARGUS and spreadsheets are tools. An asset manager is a service that uses tools to run a building for its owner. Many readers will have built ARGUS models themselves, and we would welcome corrections.

What is ARGUS Enterprise and who uses it?

ARGUS Enterprise is commercial property cash flow and valuation software, used mainly by investors, asset and portfolio managers, research teams and valuers. That is how Altus describes its users (Altus Group, ARGUS Enterprise).

As of October 2026, Altus says ARGUS Enterprise covers valuation, cash flow forecasting, budgeting, scenario testing and reporting. Budgeting includes comparing budget with actual results and updating forecasts using data from property management systems.

It supports discounted cash flow (DCF), which values a property from its forecast future income. It also supports the traditional UK valuation methods, such as hardcore and term and reversion. These value current rent and expected future rent separately. This is a large part of why ARGUS is so embedded in the UK.

ARGUS is built to model each lease in detail. In a multi-let office, each lease has its own rent, review dates and expiry. It may also have break options (a tenant's right to end the lease early) and service charge recoveries (costs the landlord passes back to tenants). Practitioners point in particular to ARGUS's handling of complex service charge recoveries in multi-let commercial assets (A.CRE).

ARGUS is a family of products. Two others matter for living sectors:

• ARGUS Developer is a development appraisal tool, widely used in UK development viability work, including student housing. For example, a 2025 viability review for the London Borough of Camden includes a student housing appraisal run in ARGUS Developer (BPS for LB Camden, January 2025). Student housing is often called PBSA, short for purpose-built student accommodation.
• ARGUS EstateMaster is a development feasibility and management tool. Altus lists build-to-rent as a supported project type (Altus Group, ARGUS EstateMaster).

Is ARGUS still used in 2026?

Yes, ARGUS is still heavily used in 2026. It remains the default for commercial valuation, and Altus is investing in it and moving it to the cloud.

• Large firms are adopting the new platform. Altus announced in January 2026 that Cushman & Wakefield had adopted ARGUS Intelligence, Altus's cloud platform (Altus Group via Nasdaq, 21 January 2026).
• The product is moving to the cloud. As of October 2026, Altus is moving ARGUS Enterprise users onto its online platform, ARGUS Intelligence. Altus says users will have to log in through that platform from January 2027 (Altus Group, platform updates). Altus ended support for locally installed versions of ARGUS Developer on 31 March 2026 (Altus Group, ARGUS Developer).
• AI is being built in. Altus unveiled ARGUS Assist, an AI layer within its ARGUS Intelligence Platform, on 14 April 2026. Altus describes it as an AI assistant built into the platform. Users can ask it to carry out tasks using ARGUS models, valuation methods and market data (Altus Group press release). We have not tested it.
• It is going deeper into UK valuation. In August 2026 Altus bought Valos, a UK platform that connects valuers with mortgage lenders. Altus says more than 20% of UK valuers use it (Altus Group press release, 6 August 2026).

Altus itself describes the older way of working as "file-based" and says it is moving to connected data (Altus Group, April 2026). ARGUS will be part of the UK market for the foreseeable future, and any credible manager needs to work alongside it. For owners asking whether to use AI instead of ARGUS, our view is that the two do different jobs, which we explain below.

Why do people use ARGUS instead of Excel?

People use ARGUS instead of Excel mainly for standardisation. An ARGUS file is built the same way wherever it comes from, so a lender, valuer or buyer can open it, check it and trust that the mechanics work.

A spreadsheet can do almost anything. That flexibility cuts both ways. Two analysts will build the same asset in two different ways, and a reviewer has to trace every formula before relying on the output. ARGUS removes much of that work. In a 2017 US forum discussion, practitioners pointed mainly to standardisation and complex commercial leases (Wall Street Oasis, "Why do people use ARGUS?"). In our view, the reasons come down to four things:

1. A shared format. Counterparties expect it, especially in commercial transactions and valuations.
2. Complex commercial leases. Service charge recoveries, rent reviews, break options and lease renewals across many tenants are handled consistently.
3. Auditability. The logic is fixed, so the reviewer checks the inputs rather than the formulas.
4. UK valuation methods. Term and reversion and hardcore methods are built in.

Spreadsheets, in turn, are used for flexibility. Practitioners often export ARGUS cash flows into a spreadsheet to layer in debt, calculate partnership-level returns (how profits are shared between investors) and run scenarios (A.CRE). A.CRE goes as far as calling Excel the industry-standard tool. It sees ARGUS's edge in complex service charge recoveries, where many costs are recharged to tenants.

For commercial assets, ARGUS Enterprise and Excel are usually used together rather than one instead of the other.

Where do ARGUS and spreadsheets fall short for build-to-rent, student and senior housing?

ARGUS and spreadsheets fall short for build-to-rent, student and senior housing because these assets are operating businesses, and both tools are mainly used to build periodic models.

An office might have twenty leases that change every few years. A 300-unit build-to-rent (BTR) scheme, meaning purpose-built rental housing, has 300 tenancies that turn over regularly. Each move-out brings void days (days a unit sits empty between residents) and letting costs. Student and senior housing have their own cycles.

As of October 2026, ARGUS Enterprise supports multifamily (rental apartment) leases (Altus Group). Altus's cloud platform also includes an Asset Manager module, which Altus says provides key performance figures and rent-roll import (Altus Group). In our view that supports oversight. It does not run the building.

Older US forum threads are mixed. Some practitioners said ARGUS adds little for short residential tenancies, while some funds and lenders preferred ARGUS-format output (Wall Street Oasis). Altus Group, writing in 2021 about build-to-rent feasibility in Australia, said: "Currently, most build-to-rent developers are working in Excel" (Altus Group, 2021). The article was promoting Altus's EstateMaster tool in a different market.

Practitioner accounts suggest much living-sector operating modelling happens in spreadsheets, though we found no survey measuring it. The gap is in the process: models are refreshed by hand, while the real data sits in a separate system. We cover the BTR detail in how to model build-to-rent in ARGUS.

What does AI-native asset management look like?

AI-native asset management looks like a small, experienced team running buildings from current operating data, with software doing the routine data work. An AI-native asset manager is a firm that runs buildings on behalf of owners with software and AI built into its core workflows from the start, so a small team of experienced people can look after more assets, with people making the decisions. The full definition is in our guide to AI asset management for UK build-to-rent, student and senior housing.

As a general description, an AI-native workflow can work like this:

• Operating data flows in regularly. Unit-level data on rents, occupancy, arrears, voids and costs comes from the property management system and other sources.
• The business plan is designed to be updated as new operating data arrives. When actual rents or costs move away from plan, the forecast reflects it without a full rebuild. In our view, this is where AI is most useful in real estate cash flow modelling: keeping the forecast current.
• Variances are flagged for a person to review. The software points to what has changed. An asset manager decides whether it matters and what to do.
• Routine administration is automated where it is safe to do so. Leasing administration, data checks and reporting packs are the obvious candidates.
• People make the judgement calls. Rent strategy, capital spending, operator performance and anything that affects residents stay with experienced people, with a clear record of who decided what.

Illustrative example (hypothetical numbers; these are not Edoras results). Assumptions: a 200-unit BTR scheme, an average rent of £1,800 per month, and planned occupancy of 95%. Annual potential rent is 200 × £1,800 × 12 = £4,320,000. At 95% occupancy, expected rental income is £4,104,000. If occupancy runs at 93% for the year instead, income is £4,017,600, a shortfall of £86,400. In a quarterly rebuild cycle, that gap may only show up in the next model. In a workflow linked to operating data, it would show up as the occupancy figures come in, while there is still time to act.

Edoras Asset Management, a London-based, early-stage asset manager for UK build-to-rent, student housing, senior housing and hotels, is being built around this split between technology and judgement. Edoras is launching its first tool, for leasing administration, in October 2026. The rest of the workflow described here is in development. Edoras is developing domain-specific AI models and other proprietary technology. It pairs a small senior team with domain experience with product and engineering people. The aim is for each asset manager to look after more assets.

ARGUS vs Excel vs AI-native: how do they compare?

Compared on the same tasks, an ARGUS-led manager is strongest on standardisation and lender and valuer acceptance. A spreadsheet-led manager is strongest on flexibility. An AI-native manager is aimed at keeping unit-level forecasts linked to live operating data.

The table below compares three operating models for an operational living-sector asset. "ARGUS-led" and "Spreadsheet-led" mean a traditional manager using that tool as the main model. It reflects our view as of October 2026 and is not a test result. Sources for ARGUS statements are linked above.

Two points stand out. ARGUS wins on lender and valuer acceptance and on standardisation, and those matter a great deal at financing and sale. The AI-native model is aimed at the work between those events: running the asset well from week to week. In our view, that is where much of the value of a living-sector asset is made or lost.

If you are searching for an ARGUS alternative, it may help to ask a slightly different question. Does your manager have the data and the time to run the asset closely? That matters more than which modelling tool sits underneath.

Do lenders and valuers still expect an ARGUS file?

Often, yes: UK lenders and valuers still commonly expect an ARGUS file for commercial assets. For living-sector assets practice varies, but many still work in ARGUS or ask for familiar outputs.

UK valuations are carried out by RICS-regulated valuers. RICS publishes a professional standard on valuing residential property purpose built for renting (RICS). We found nothing in it that requires a particular software package. In practice, though, the valuer's own workflow often runs on ARGUS, and Altus's purchase of Valos suggests that link will get closer.

In our view, an AI-native manager should not ask lenders or valuers to change how they work. It should still be able to produce the outputs they expect, in the formats they use, with a clear trail back to the operating data.

None of this replaces an independent valuation. Operating data and forecasts feed into a valuer's work. They do not replace it.

When is a traditional manager the better choice?

A traditional manager is often the better choice for mainly commercial assets. It may also suit an owner who wants a standard, valuation-focused process or a long track record above all else.

• Multi-let commercial assets. If the value sits in complex leases with service charges and breaks, ARGUS is the right tool and experienced commercial managers use it well.
• Assets where operations are simple. A building let to one tenant, or a fully let block on long leases, does not need weekly operating data.
• Owners who need a long track record. Edoras is early stage. An owner whose investment committee requires years of reported performance on similar assets should give that real weight.
• Owners mid-financing or mid-sale. Changing manager during a refinancing or sale adds risk. It is usually better to finish the transaction first.
• Owners who are well served today. Many traditional managers run living-sector assets carefully and well. If the reporting is timely and the asset is performing as planned, there may be no reason to change.

An AI-native manager is more likely to suit owners of operational assets, such as BTR, student housing, senior housing and hotels. It fits owners who want to see operating performance more often and are comfortable working with a newer firm. If that describes you, our page on asset management for UK living sectors sets out the service.

FAQ

What is the difference between ARGUS and Excel?

ARGUS is specialist software with a fixed structure for modelling property cash flows and valuations lease by lease. Excel is a general spreadsheet that can model anything but has no built-in structure. ARGUS is easier to review and is the commercial standard. Spreadsheets are more flexible and are widely used for residential operating models, debt and returns.

Is ARGUS still used in 2026?

Yes. As of October 2026, ARGUS is the market standard for commercial property valuation. Altus is moving it to its cloud platform, ARGUS Intelligence, with mandatory platform login from January 2027. Altus unveiled ARGUS Assist, an AI layer within its ARGUS Intelligence Platform, on 14 April 2026.

Can ARGUS model build-to-rent?

As of October 2026, ARGUS Enterprise supports multifamily leases, and ARGUS Developer is widely used in UK planning viability work, including student housing appraisals. The question is fit. Practitioner accounts suggest much BTR operating modelling is done in spreadsheets, though no survey measures it. Our guide to BTR cash flow models in ARGUS and spreadsheets covers this in detail.

Can AI be used instead of ARGUS?

Not for valuation work, in our view. Lenders and valuers rely on established formats, and Altus is itself adding AI to ARGUS. Where AI can help most is in running the asset: bringing in operating data, keeping forecasts current and flagging changes for people to review. That changes how the asset is run. It does not swap one tool for another.

What is AI-native asset management?

It is a way of running buildings for owners with software and AI built into the core workflows from the start. Software handles routine data work, and experienced people make the decisions. It differs from a model in which software tools are added to an existing process that remains largely manual. See what an AI-native asset manager is.

Does an AI-native manager replace the need for a valuer?

No. UK valuations are carried out by RICS-regulated valuers and remain independent. An AI-native manager is designed to supply well-organised, current operating data, which a valuer may find useful. That data feeds into a valuation. It does not replace one, and the valuer's judgement and sign-off stay with the valuer.

Is an AI-native manager right for every asset?

No. Multi-let commercial buildings and simple single-let assets are often best served by a traditional manager using ARGUS. The case for an AI-native manager is strongest for operational living-sector assets, where performance changes month by month and depends on many small tenancies and costs.

Sooraj Rup is the founder of Edoras Asset Management. He previously spent two years at an institutional real estate investment firm managing about $18 billion of assets, where he worked on roughly $800 million of transactions.

If you own or are developing a build-to-rent, student or senior housing scheme and want to talk about how it is managed, contact us.

ARGUS, ARGUS Enterprise, ARGUS Intelligence, ARGUS Assist, ARGUS Developer and ARGUS EstateMaster are trade marks of Altus Group or its affiliates, including ARGUS Software, Inc. Excel is a trade mark of Microsoft Corporation. Edoras Asset Management is not affiliated with, sponsored by or endorsed by Altus Group or Microsoft. References are for descriptive and comparative purposes only. This article is for information only and is not an offer or invitation to invest.