AI agents and validated credit data - Jack McDonald and Michael Manapat

AI Engineer19m 3s
Michael Manapat in blue and Jack McDonald in white flank the blue and white headline "TRUST STARTS WITH DATA" on black.
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    Michael Manapat and Jack McDonald discuss the data engineering behind agent adoption at Apollo's Redding Ridge business. Fragmented documents and internal systems require agreed calculations and a hierarchy of authoritative sourcesA data pipeline moves information through ordered collection, transformation and delivery steps for use by software or AI. before an agent's answer can be trusted.

    Jack McDonald reports that assembling a mock credit portfolio moved from two or three days of manual preparation to minutes, reaching roughly 80 to 90 percent completion before a portfolio manager refines it. He also describes a weekly financing reconciliation becoming a repeatable reportWorkflow automation uses software or AI to complete a connected sequence of routine steps with less manual effort. that staff can check daily. These are his operational examples, not independently measured benchmarks or evidence of investment returns.

    Michael Manapat and Jack McDonald emphasize working with the teams responsible for the process, checking resultsEvaluation is the systematic assessment of a system's behaviour or results against explicit criteria. and understanding why existing complexity exists. Their distinction is between a validated business workflow and an unconfigured chat session, not a claim that general-purpose models can never connect to company data.

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    Video topic coverage

    • Agents & workflows75
    • Coding & tools0
    • Models & learning0
    • Infrastructure & compute85
    • Research & evaluation35
    • Safety & security0
    • Business & productivity100
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    Michael Manapat in blue and Jack McDonald in white flank the blue and white headline "TRUST STARTS WITH DATA" on black. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 16 October 2026 and duration 19m 3s.

    Michael Manapat and Jack McDonald describe how validated data and source precedence support agent-assisted credit workflows while humans retain investment judgment.