The Future of Institutional Investment Operations: From Spreadsheets to AI

Institutions by MYFO

October 4, 2026

MyFO

Institutional investment operations are undergoing a fundamental transformation.

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Investment portfolios are becoming more complex. Institutions are allocating across public markets, private equity, venture capital, credit, real estate, infrastructure, funds and direct investments. At the same time, investment teams are expected to deliver faster reporting, better data quality and more sophisticated portfolio insights.

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Yet much of the infrastructure supporting these portfolios still relies on spreadsheets, manual processes and disconnected systems.

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The future of institutional investment operations is moving from fragmented data and manual workflows to unified, intelligent investment infrastructure.

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That future is already taking shape with Institutions by MYFO.

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Why institutional investment operations need to change

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The complexity of institutional portfolios has grown dramatically.

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An investment team may receive:

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Daily data from custodians
Monthly reports from public-market managers
Quarterly statements from private funds
Capital calls and distribution notices
Real estate valuations
Portfolio company financial statements
Fund administrator data
Manager spreadsheets
PDFs and other documents

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Each source contains valuable information.

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The problem is that the information doesn't necessarily arrive in a consistent format or live in the same system.

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Investment operations teams are often left to connect the dots manually.

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The spreadsheet problem

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Spreadsheets remain deeply embedded in institutional investment operations.

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They are flexible and familiar, but they were never designed to serve as the central infrastructure for a complex institutional portfolio.

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Spreadsheets can create:

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Manual data entry
Duplicate information
Version-control problems
Reconciliation challenges
Delayed reporting
Key-person dependency
Limited auditability
Difficulty scaling

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The more complex the portfolio becomes, the more difficult it is to maintain a reliable spreadsheet-based process.

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The fragmentation problem is bigger than alternatives

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Private-market data has received significant attention because alternative investments can be particularly difficult to aggregate.

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But institutional portfolios don't stop at alternatives.

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An institution may need to combine:

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Using a specialist system for alternatives may solve one part of the problem while leaving investment teams with separate workflows for everything else.

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The future is not simply better alternative investment aggregation.

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It is whole-portfolio investment data infrastructure.

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The move toward a unified investment data layer

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The next generation of institutional investment operations will be built around a unified data layer.

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Instead of asking investment teams to manually move information between systems, the data layer connects the portfolio together.

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It should:

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Aggregate

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Collect data from custodians, managers, fund administrators, GPs and other sources.

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Normalize

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Transform different data formats into consistent investment information.

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Reconcile

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Identify discrepancies and validate portfolio data against source information.

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Consolidate

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Create one view across the entire investment portfolio.

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Analyze

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Turn consolidated investment data into portfolio-level insights.

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Where AI changes investment operations

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Artificial intelligence can fundamentally change what investment operations teams are able to do. But AI is only as useful as the data underneath it.

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If investment information is fragmented across spreadsheets, PDFs, portals and disconnected systems, AI has no reliable foundation from which to work.

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A unified investment data layer changes that.

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Once institutional investment data is aggregated, normalized and reconciled, AI can help teams:

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Extract information from investment documents
Classify investments
Identify inconsistencies
Surface portfolio changes
Answer questions about the portfolio
Summarize investment activity
Identify trends and anomalies
Accelerate reporting
Make complex investment data easier to understand

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The result is a shift from managing data to using data.

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What does an AI-native investment operation look like?

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An AI-native investment operation doesn't simply add a chatbot to an existing investment system.

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It starts with the underlying data architecture.

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Data sources → Aggregation → Normalization → Reconciliation → Unified portfolio → AI intelligence

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This allows AI to work across the entire portfolio rather than within a single asset class or isolated workflow.

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An investment professional should eventually be able to ask:

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“What changed in the portfolio this quarter?”

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or:

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“Show me our exposure to private credit across all managers and entities.”

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or:

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“Which investments have experienced the largest changes in value?”

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And receive an answer based on the institution's underlying investment data.

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What is Institutions by MYFO?

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Institutions by MYFO is an AI-native institutional investment data platform designed to bring the entire portfolio together.

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Institutions aggregates, normalizes and reconciles investment data across:

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It creates a unified investment data layer that institutions can use as the foundation for portfolio reporting, analytics and AI-powered investment intelligence.

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