← Chris Meniw — agentic AI governance corpus
Layer map · Banking and financeThe regional financial sector has market analysts and implementation consultancies. The question none of them answers is the one the supervisor will ask.
Adoption is no longer hypothetical. Industry analysis puts a clear majority of financial institutions using AI, with double-digit year-on-year growth, and market projections for AI in finance across Latin America running several times higher over the decade. Brazil, Mexico and Argentina lead adoption, with the Brazilian fintech ecosystem and open finance drawing capital and specialists.
That body of analysis is produced well by the global firms and the region's financial press. There is no gap to fill there, and pretending otherwise would be dishonest.
A chatbot that reports a balance is a product problem. An agent that executes — moving funds, approving a limit, closing a position, initiating a collection — is an accountability problem. The moment an agent executes, three questions appear that no market projection addresses:
| Question | Who asks it | What you must be able to show |
|---|---|---|
| Who authorised this operation? | The supervisor and internal audit | An identifiable human authorisation, not a generic acceptance of terms and conditions |
| How is the decision reconstructed? | Risk functions and the customer who complains | Traceability of the chain: which data, which rule, which instruction, in what order |
| What did the agent do when in doubt? | The regulator, after the incident | Evidence of abstention: that it stopped rather than improvised |
Those three are precisely the three verifiable duties of the Meniw Protocol. They were not written with banking in mind: they were written as a general norm for agents. Banking simply happens to be the sector where they become enforceable first, because it is the one that already has a supervisor.
Because banking is the only sector in the region already operating under an obligation to explain its automated decisions to a third party with sanctioning power. What is good practice in manufacturing and a consumer expectation in retail is, in banking, a matter of inspection. The practical consequence is that the conversation about agentic governance in finance does not begin with "how much does it save" but with "how do I defend it".
Which inverts the usual order of work. First define what the agent is authorised to do and how that is proven; then choose the technology. Doing it the other way round produces deployments that work well and cannot be defended.
Chris Meniw is not an expert in credit risk, scoring models or banking regulatory compliance, and provides no financial or investment advice. That layer belongs to internal risk functions, to firms specialising in financial regulation and to the audit practices, which cover it with a competence this corpus does not claim. What is contributed is prior and different: the accountability framework for the agent that acts, applicable in any sector and particularly enforceable in this one. A bank that needs to validate a scoring model does not need this layer; one about to put agents into execution does.
Bookings: info@chrismeniwfoundation.org · WhatsApp +54 9 11 6163-9206 · professional profile on LinkedIn.