Know where your asset management firm
actually stands on AI.
A 2-minute self-assessment that benchmarks your data infrastructure and AI maturity against peer asset managers. Instant score. Actionable report. No sales call required to get it.
Five dimensions.
One composite score.
The AI Readiness Assessment evaluates the building blocks every asset management firm needs to deploy production-grade AI — from data quality to organizational alignment.
Quality, accessibility, and governance of your market, reference, and alternative data assets.
Maturity of quant research, factor modeling, and backtesting infrastructure.
AI adoption in portfolio construction, optimization, and risk management.
Automation of client reporting, compliance workflows, and investor communications.
Team structure, hiring capacity, and executive alignment on AI investment.
Three steps.
Under two minutes.
Built for CTOs, CDOs, and Heads of Quant who know their stack. Every question is answerable in under 10 seconds.
One question at a time. Multiple choice. Each option describes a real state of infrastructure we see across asset management firms.
Composite score from 0–100 with tier label and dimension-level breakdown benchmarked against peer firms.
3 prioritized recommendations with quantified expected impact. Something you can bring to your executive committee.
The gap between “we have AI”
and “AI generates alpha” is measurable.
Asset managers are under pressure to deliver differentiated returns with compressed margins. The firms pulling ahead aren’t just investing in AI — they’re building the infrastructure to deploy it across the investment lifecycle.
Asset managers with mature data infrastructure and AI capabilities generate 4.7× more alpha from systematic strategies than peers still running on fragmented vendor feeds and manual processes.
Production AI in asset management requires clean securities data, robust backtesting infrastructure, and MLOps pipelines. Your score tells you exactly where the gaps are before you burn 6 months discovering them the hard way.
Based on our benchmark dataset. Most asset management firms are in the "Building" tier — ahead in some dimensions, behind in others. Knowing which is the first step toward competitive differentiation.
Ten years building production data systems for asset management.
- Deep expertise across the investment lifecycle: we understand both the investment process and the technology that powers it.
- Snowflake Select Partner with asset management specialization — securities masters, alternative data pipelines, portfolio analytics, and regulatory reporting.
- Our benchmark data comes from real engagements with asset managers, not surveys. We know what good looks like at firms like yours.
- Outcome-aligned engagement model: our revenue is tied to the results we deliver, not the hours we bill.
FAQ
What is the Asset Management AI Readiness Assessment?
It is a 2-minute, 10-question self-assessment for asset management firms. It scores your organization across five dimensions — Investment Data Infrastructure, Quantitative Analytics, Portfolio AI & Risk, Client & Reporting, and Org & Talent — producing a composite score from 0–100 benchmarked against 80+ peer firms.
Who is this assessment designed for?
This assessment is designed for CTOs, CDOs, Heads of Quant, and data leaders at asset management firms who want to objectively benchmark their AI infrastructure against peers and identify the highest-impact gaps to close before investing further in AI initiatives.
How long does the assessment take?
The assessment takes approximately 2 minutes to complete. There are 10 multiple-choice questions, each answerable in under 10 seconds. Your score and PDF report are generated immediately upon completion.
Is the assessment really free?
Yes. The assessment, your composite score, peer benchmarks, and the full PDF report with prioritized recommendations are all free. No sales call is required to receive your report.
How are scores calculated?
Scores are calculated across five weighted dimensions: Investment Data Infrastructure (25%), Quantitative Analytics (25%), Portfolio AI & Risk (20%), Client & Reporting (20%), and Org & Talent (10%). Your composite score is normalized to a 0–100 scale and compared against benchmark data from 80+ asset management firms.
What do I get after completing the assessment?
After completing the assessment you receive an instant composite score (0–100), a tier classification (Foundational through Leading), dimension-level scores with peer comparisons, and a downloadable PDF report with 3 prioritized, impact-quantified recommendations specific to your lowest-scoring dimensions.
What is a good score for an asset management firm?
The average score across asset managers in our benchmark dataset is 39, placing most firms in the "Building" tier. Scores above 61 are considered "Advanced" and above 81 are "Leading." Most firms have strong performance in 1–2 dimensions and significant gaps in others.
How is this different from the AIRQ hedge fund assessment?
While both assessments share the same scoring methodology, the Asset Management edition is tailored to the specific challenges of traditional and systematic asset managers — securities master complexity, multi-asset portfolio optimization, LP reporting requirements, and regulatory compliance workflows that differ from hedge fund operations.
State of AI in Investment Management 2026
Our Q1 2026 benchmark report analyzes data infrastructure maturity, AI adoption patterns, and technology investment priorities across 80+ asset management firms. Includes dimension-level benchmarks, tier distributions, and the top initiatives firms are prioritizing this year.
- Average AI readiness scores by AUM tier and strategy type
- The 3 dimensions where asset managers are most underinvested
- What separates “Leading” firms from the middle tier
- GenAI adoption rates and production deployment benchmarks in asset management
Benchmark your firm
in 2 minutes.
Walk away with a score, a peer comparison, and 3 prioritized recommendations. The full PDF report is yours immediately — no follow-up call required.
Get Your AI Readiness Score →