Credit origination. KYC. Customer operations. Market intelligence. Production AI for banks, fintechs, and non-bank lenders. Live inside your perimeter, with every decision on the record.
Models are the part that changes. SAPTIVA Studio is the part that does not: where it runs, what it costs, and the proof of every decision stay under your control.
The models exist. The budgets exist. The executive mandate exists. What does not exist at most banks in the region is a path to production that clears four desks. Pilots stall in risk committee. Hyperscaler deployments fail residency review. Internal builds take eighteen months and ship capabilities the risk committee won't approve.
The root cause is structural: global AI platforms are engineered for US and EU buyers first, with Mexico treated as a localization problem. SAPTIVA AI is engineered the other way around.
The book, the clients and the models stay inside the bank's perimeter. Hyperscaler defaults put them somewhere else.
Your auditor expects to see which model ran, on which data, under which configuration, authorized by whom. Not a log file. A record.
AI spend attributed to a workload and a team before the bill arrives. The CFO's desk is the fourth yes.
Built on SAPTIVA Studio. The first market-intelligence copilot that runs inside the bank's own perimeter, where the private data already is. Public sector data. The bank's own portfolio. Two sources. One prompt.
Between the question the CEO asks and the market report that lands: up to eight weeks. By then the market moved. The analyst spent most of that time cleaning, joining, formatting. The data becomes context, never advantage.
CNBV. Banxico. ABM. Credit bureaus. Portfolios, delinquency, rates, placement, deposits. The full public financial corpus, ingested, normalized, queryable.
Portfolio. Clients. Placement. Risk. Consulted in-place, with zero exfiltration. The model goes to the data, not the reverse. The bank's perimeter holds.
Regulatory context is built into the context layer.
SAPTIVA AI is deployed today against the highest-volume, highest-sensitivity workflows in a financial institution. Each runs as a SAPTIVA Studio application inside the customer's own perimeter.
AI copilots that read the full application, pull supporting context, explain their recommendation, and log every step of the reasoning. Human credit officers stay in the loop. The decision is accelerated, not automated. Every recommendation is accompanied by a logged rationale that compliance and audit can review.
Document extraction, identity validation, and compliance checks running on documents that never leave your perimeter. Exceptions route to human reviewers with structured reasoning attached. Built for the exact document types and formats of Mexican and Central American financial institutions.
First-tier customer inquiries resolved automatically, complex cases escalated to humans with full context and conversation history attached. Compliance and tone guidelines set once, applied on every conversation, logged. Replacing first-tier call center volume is the most commonly requested initial deployment.
Private RAG systems trained on your policies, procedures, product documentation, and historical credit decisions. Role-based access, never leaves your environment, every retrieval logged. A knowledge layer that respects the information boundaries already inside the bank.
A typical deployment sits across two or three environments and is governed by one configuration the bank set. The same configuration applies whether the workload is credit, KYC or customer ops. Change the model; the record still holds. Change the cloud; the record still holds.
Savant in production. Sector data, regulatory context, and the bank's own book, in one question.
Banco Invex runs Savant in production. Financial data across industries, resolved before the meeting ends.
The question leadership asks today, answered today.
MultiMoney. KYC, conversational agents, and AI-powered credit origination - the pilots that had stalled, put into production.
Before SAPTIVA AI, MultiMoney's AI initiatives were stuck in the loop most financial institutions know: the technology could do the work, but nothing got it to production. Every project became a one-off.
Where those pilots had stalled, SAPTIVA AI put three SAPTIVA Studio applications, all running under one configuration the group set. KYC document processing, conversational customer agents, and a credit origination copilot are active in production.
The unlock was not the model. It was the layer that made the model deployable.
Read the deployment →The pilot that failed residency. The credit copilot that couldn't clear audit. The KYC project that outgrew its hyperscaler region. If you're accountable for AI outcomes at a bank, a Forward Deployed Engineer will respond within 48 hours.