AssetCentral.ai

AssetCentral · Chief Investment Officer

AI Property CIO for investment modelling

Your AssetCentral CIO runs multi-year institutional-grade underwriting on every property — unlevered vs. levered IRR, repositioning scenarios (long-let vs. short-let), and the break-even assumptions that decide whether capital deploys or waits.

From €19/month. 7-day free trial, no card required.

Portrait of the AssetCentral AI Chief Investment Officer
CIO
Chief Investment Officer

What this agent actually does

Owner-side, not analyst-side.

Capital decisions on a private property portfolio usually get made on instinct because the modelling is too painful. The CIO does institutional-grade underwriting for you: multi-year hold vs. sell with unlevered AND levered IRR side-by-side, a refinance scenario at three different rates, a renovation that lifts rent by 8%, a repositioning from long-let to short-let with seasonality factored in. Each one returns IRR, equity multiple, cash-on-cash and the break-even assumption. The discipline is the point — only deals that survive institutional underwriting reach your capital.

What this agent helps with

Seven jobs across your portfolio.

  • Multi-year underwriting on hold and acquisition
  • Unlevered vs. levered IRR side-by-side
  • Hold versus sell scenarios
  • Refinance versus retain modelling
  • Long-let vs. short-let repositioning
  • Capital allocation across the portfolio
  • Trapped equity analysis

Ask your AI CIO

The questions owners actually ask.

  • Should I sell or hold this property?
  • What's the unlevered vs. levered IRR on this scenario?
  • Which acquisition scenario has the best return?
  • Should I switch from long-term rental to short-term rental?

Example output

What your CIO reports back.

CIO · illustrative output

Your CIO has run a five-year underwrite on the Marina property. Hold: 9.4% levered IRR / 6.1% unlevered, assuming rent grows 5% per year and the refinance lands below 4.6%. Sell at the current comparable: 7.1% IRR after costs and tax. Repositioning to short-let (operator-led, 28% gross uplift, 5% vacancy and ops drag): 11.2% levered IRR, but with a stricter cash-flow profile in the soft season. Inflection point on hold: 2.1% annual rent growth.

Illustrative — your CIO draws on your real portfolio data once your first property is on file.

How it fits the framework

Capture. Structure. Model. Monitor. Manage.

The CIO sits at the Model pillar — the agent that builds and pressure-tests every capital decision against institutional-grade underwriting before you deploy.

FAQ

Questions owners ask first.

What is an AI Property CIO?
An AI Property CIO is the investment-modelling layer in AssetCentral's five-agent property team. It runs the scenarios — hold, sell, refinance, renovate, acquire — and returns IRR, equity multiple, cash-on-cash and the underlying assumptions so you can read the numbers behind every capital decision.
Can AssetCentral model an acquisition I haven't bought yet?
Yes. Add the property as a prospective acquisition with the address, asking price and expected rent. The CIO models it alongside your existing portfolio and returns the return profile, the capital required, and the impact on your overall yield blend.
What if I don't have all the inputs for a scenario?
The CIO uses market data and your portfolio's existing benchmarks to fill in the gaps — current local rates, comparable rents, typical service charges — and flags every assumption so you can override the ones that matter to your situation.
Does the CIO handle multiple currencies?
AssetCentral supports portfolios held across multiple countries and currencies — the property model normalises each property to your reporting currency for portfolio-level metrics.
Does AssetCentral give investment advice?
AssetCentral provides decision-support tools and information. It does not provide financial, tax, legal or investment advice.

Add your first property. Meet your team.

Your AI CIO starts work the moment your first property is on file. From €19/month, 7-day free trial, no card required.