Banco Popular Dominicano with Microsoft: the bank multiplies its risk-analysis capacity 7X — "the agent proposes, the analyst decides"
Published by Microsoft Customer Stories on September 6, 2026 under the headline "Banco Popular Dominicano multiplies risk analysis 7X with Microsoft Power Platform," the case study describes AURA, a multi-agent ecosystem built on Copilot Studio and Power Platform for operational risk management: coverage up from roughly 40% to 100%, analytical capacity multiplied by 7, 70% less manual workload. But the official document — which we read in full rather than trusting the headline number alone — is just as explicit on a second point, in the words of one of the bank's own vice presidents: "AURA analyzes and proposes, but the analyst has to evaluate and decide."
Banco Popular Dominicano, one of the leading banks in the Dominican Republic, built AURA on Microsoft Copilot Studio and Power Platform — Power Automate for workflow orchestration, Power BI for monitoring, Teams for collaboration, with connectors into Excel, SQL and SharePoint — to automate operational risk management in an area where the bank processes over 80,000 documents a week and reviews more than 300 cases a day. The figures Microsoft cites are substantial: operational risk coverage up from roughly 40% to 100%, analytical capacity multiplied 7X, manual workload down 70%, and 40% of the time freed up reinvested in higher-value analysis. Felipe Suárez, Executive Vice President of Integrated Risk Management, frames the project around regulatory pressure itself: "There are more and more risks, more controls, and more processes. Without AI and automation tools, it would be impossible to maintain effective monitoring." He's also careful about what kind of project it is: "This is not a technology project; it is a risk management project, built with tools we already have available." Juan Jiménez, Risk Integration Manager, describes the day-to-day change: "Every time a change occurs, the system automatically analyzes it. We no longer rely on manual reviews."
What interests us most isn't the "7X" — it's the line Mario Jara, Vice President of Operational Risk, says right after citing that figure: "AURA analyzes and proposes, but the analyst has to evaluate and decide." In a bank processing 300 cases a day with a system built to maximize throughput, nobody is claiming the agent decides alone — the decision stays human, case by case. The parallel to AppH is honest, but at a completely different scale: we have neither the data nor the ambition to score a banking risk. Our own stance, written plainly, is even narrower than Banco Popular Dominicano's — AppH today does no identity verification, no credit-risk scoring, and makes no AML/compliance decisions for its SMB customers. What we take from this Dominican case is confirmation, in a sector far more regulated and far larger than ours, that capacity gains and keeping the final decision human aren't two goals that cancel each other out — it's the same architecture AppManager already applies, just at SMB scale rather than continental-bank scale.
For AppH
- A real banking case, with official figures (2.5X coverage, 7X capacity) and a direct quote from a vice president — "the agent proposes, the analyst decides" — confirms, at a scale far larger and far more regulated than AppH's, that agentic automation and a final human decision aren't incompatible.
- The gain Banco Popular Dominicano claims comes explicitly from keeping the human at the center of the decision, not despite it — the same argument AppH makes for its own approval click, here validated by a player operating at an entirely different scale.
Against / the honest limit
- AppH does no document extraction, no risk scoring, no AML/compliance verification — AURA does exactly that, with resources (Power Platform, 80,000 documents/week) no AppH SMB customer has. The parallel only holds on the governance principle, not on technical capability.
- The figures cited (100% coverage, 7X, 98% methodological accuracy) come from official "Microsoft Customer Stories" content — a Microsoft marketing showcase, not an independent audit. They deserve to be cited as such, not as neutral proof.
We could have stopped at the "7X" — it's the kind of statistic that makes a good headline. But the line that made us keep this piece is elsewhere, from the Vice President of Operational Risk himself: "AURA analyzes and proposes, but the analyst has to evaluate and decide." This isn't a press release about AI replacing analysts — it's one about a bank that chose to multiply its analytical capacity without taking the final decision away from a human, in a business where getting it wrong is expensive and the regulator is watching. We're not claiming AppH operates at the same scale or on the same kind of risk — quite the opposite, our product explicitly rules out what AURA does (scoring a risk, verifying an identity, deciding a compliance case). But the principle we've defended since AppManager's very first module is, once again, not an isolated stance: even inside a bank processing 300 cases a day, the agent proposes, the human decides.
Verified by a human at AppH