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Financial Services & Investments · Alternative Investments & Real Assets

Real Asset Valuation & Performance Monitoring

EnhancesStable
1–3 Years
1–3 years. Pilots and early adopters exist. Enterprise adoption accelerating but not mainstream.

Trajectories describe the observable direction of human effort — not a prediction about specific roles, headcount, or individual careers.

What You Do Today

Value infrastructure, real estate, timber, farmland, and natural resource investments where there is no daily market price. Appraisals are quarterly at best, comparables are sparse, and the NAV you report to investors is part science, part judgment. Monitor operating performance of portfolio assets across geographies and asset types.

AI Technologies

How It Works

ML models generate continuous estimated valuations using comparable transactions, income approach inputs from real-time operating data, and market sentiment indicators. Satellite and IoT data monitors physical asset performance — crop yields, energy output, traffic volumes, construction progress — providing leading indicators before quarterly operating reports.

What Changes

Valuation frequency increases from quarterly appraisals to monthly model-based estimates. Physical asset monitoring becomes data-driven — you know a wind farm is underperforming from SCADA (Supervisory Control and Data Acquisition) data before the operator sends their quarterly report. Portfolio-level insights across disparate asset types become possible.

What Stays the Same

On-the-ground diligence. Kicking the tires on an infrastructure asset, walking a farmland acquisition, or understanding the regulatory environment of a toll road concession requires physical presence and local knowledge. The model cannot smell the soil.

Evidence & Sources

  • Preqin alternative assets data
  • Cambridge Associates benchmark returns
  • GRESB real asset ESG scoring adoption

Sources listed are directional references, not formal citations. Verify against primary sources before using in business cases or presentations.

Last reviewed: March 2026

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for real asset valuation & performance monitoring, document your current state in alternative investments & real assets.

Map your current process: Document how real asset valuation & performance monitoring works today — who does what, how long each step takes, and where the bottlenecks are. Use your order management system data to establish a factual baseline.
Identify the judgment calls: On-the-ground diligence. Kicking the tires on an infrastructure asset, walking a farmland acquisition, or understanding the regulatory environment of a toll road concession requires physical presence and local knowledge. The model cannot smell the soil. — these are the boundaries AI won't cross. Know them before you start.
Check your data readiness: AI tools for alternative investments & real assets need clean, accessible data. Check whether your order management system has the historical data, integrations, and quality to support ML Continuous Valuation Models tools.

Without a baseline, you can't tell whether AI actually improved real asset valuation & performance monitoring or just changed who does it.

2

Define Your Measures

What to track and how to calculate it

alpha generation

How to calculate

Measure alpha generation for real asset valuation & performance monitoring before and after AI adoption. Pull from your order management system.

Why it matters

This is the most direct indicator of whether AI is adding value to alternative investments & real assets.

execution quality

How to calculate

Track execution quality using the same methodology you use today. Don't change how you measure just because you changed how you work.

Why it matters

Speed without quality is just faster mistakes. Measure both together.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a goal. Measure outcomes. If the tool helps with real asset valuation & performance monitoring, people will use it.
3

Start These Conversations

Who to talk to and what to ask

CIO or Head of Trading

What's our plan for AI in alternative investments & real assets? Are we piloting, planning, or waiting?

This tells you whether to experiment quietly or push for formal investment in real asset valuation & performance monitoring.

your order management system administrator or vendor

What AI capabilities exist in our current order management system that we're not using? Most platforms are adding AI features faster than teams adopt them.

The cheapest AI adoption is the features already included in your existing license.

a practitioner in alternative investments & real assets at another organization

Have you deployed AI for real asset valuation & performance monitoring? What worked, what didn't, and what would you do differently?

Peer experience is more useful than vendor demos. Find someone who has actually done this.

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.

Technology That Enables This

These architecture components support or enable this AI application.

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