Briefs

Commentary and Summaries of our Work in AI

How We Trained AI to Read and Reconcile Any Report

There is a profound difference between instructing software to perform a specific task and training an AI to perform that task under different conditions.

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Why AI Beats Humans at Oversight

AI can perform detailed, probabilistic work that is far superior to human teams.

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AI Pivots Can Improve Your Success Rate and ROI

Leaders can achieve high returns by using an AI pivot technique we’ve refined over years of working with large firms. This method assumes you will change algorithms and redefine target problems iteratively.

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Is AI Better Than Traditional Software and Outsourced Labor in Investment Operations?

OnCorps has trained, tested and deployed investment operations algorithms for over five years. This gives us a unique vantage point on the differences between humans, software, and AI. While the best solutions require some combination of the three, the mistakes we see come from over- or under-focusing on the capabilities of any one in isolation.

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Using AI to Reduce Exceptions in Investment Operations

Explains why reconciliation software has not been able to reduce labor costs in investment operations.

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Lessons in Applying AI to Investment Operations

Lessons learned in training algorithms to reduce false positives and labor in investment operations reconciliations.

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Predicting NAV delays with AI

In today's outsourced-dominant world, asset managers often have little control or visibility into their NAV production process. OnCorps created an AI algorithm that uses multiple data streams to predict when NAVs will be delivered late from the service provider. Developed alongside a Top 5 global asset manager, the algorithm has achieved a mean accuracy rate of 93% in just 3 months of training.

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Decision Simulations

OnCorps has developed a pioneering approach to identifying and changing human behaviors. Traditional approaches to testing human behaviors are limited and infrequent. Polls and focus groups elicit what people think they will do, but not what they will actually do. Our approach, alongside our partners at Yale's Human Nature Lab, enables us to create a simulated environment that tests behavioral algorithms before they are exposed to customers. We recently applied this method to the collections function of financial institutions, where we changed behaviors to decrease time-to-pay by over 15 percent.

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Data Challenges in Adopting AI

It’s no secret that clean, reliable data (and a lot of it) is crucial when implementing learning technologies. Within asset management operations, however, gathering ‘good data’ is met with significant roadblocks. As a result, OnCorps’ data scientists were forced to get creative when thinking about how to successfully design, train, and implement AI algorithms within fund operations.

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Detecting and Correcting Eye Glaze Syndrome in Oversight

Psychology research has proven that the human brain can handle only a certain amount of information before cognitive performance begins to decline. OnCorps’ research team thought to apply this behavioral theory to an oversight environment to test how well humans are able to process large amounts of data and identify errors.

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A Systematic Approach to Predicting NAV Errors

After analyzing over a decade of NAV errors and their root causes, OnCorps’ data science team created a comprehensive, algorithmic approach to overseeing granular accounting data to identify potential NAV-impacting anomalies.

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The Challenge of Detecting Errors in Complex Statements

The OnCorps team was asked to build an AI platform that would reduce as many hours as possible by error checking a complex and lengthy semi-annual financial statement.

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How We Trained AI to Read and Reconcile Any Report

Read More

Why AI Beats Humans at Oversight

Read More

AI Pivots Can Improve Your Success Rate and ROI

Read More

Is AI Better Than Traditional Software and Outsourced Labor in Investment Operations?

Read More

Using AI to Reduce Exceptions in Investment Operations

Read More

Lessons in Applying AI to Investment Operations

Read More

Predicting NAV delays with AI

Read More

Decision Simulations

Read More

Data Challenges in Adopting AI

Read More

Detecting and Correcting Eye Glaze Syndrome in Oversight

Read More

A Systematic Approach to Predicting NAV Errors

Read More

The Challenge of Detecting Errors in Complex Statements

Read More

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