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Connect Magazine September Edition 2026 August 26, 2026

Generative AI Beyond the Model: Trust Depends on the Entire Ecosystem

Generative AI Beyond the Model: Trust Depends on the Entire Ecosystem

Raghuram Leelapalli, Assistant Vice President , Fifth Third Bank

As AI becomes embedded in financial services, organisations need to understand the full ecosystem involved in producing outputs, from language representation and embeddings to retrieval, reasoning and response generation. The article explores where trust can break down at each stage and why AI governance must extend beyond traditional model validation. For financial institutions, this means understanding the wider technology and information ecosystem that shapes AI outcomes.

Generative AI is evolving from experimental technology into an operational capability embedded within core business processes. The challenge is no longer simply deploying technology but building confidence in its outputs and understanding the ecosystem that supports them.

Discussions often focus on AI outputs while overlooking language representation, knowledge retrieval, model reasoning, and response generation. Trust depends on every stage involved in producing a response.

It All Begins with Language

Humans communicate through words, sentences and context. Computers require language to be converted into mathematical form before processing.

The first step is tokenization, which breaks text into smaller units called tokens. Depending on the model, a token may represent a word, sub-word or punctuation. Early NLP techniques used relatively simple representations. Bag of Words (BoW) counts word frequency:

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