uflow
Why uFlow

The risk team gains autonomy. The institution keeps control.

With uFlow, risk teams design, test, version and update credit policies from a visual editor, without requiring an IT development for every change. The organization keeps permissions, traceability, security and publishing control.

Building the engine in-house gives you full control, but it costs time and a permanent team to maintain it. A generic engine speeds up the start, yet it tends to be rigid and dependent on technical profiles. uFlow strikes the balance: autonomy for the risk team to change policies in hours, within defined permissions and controls, with the governance and traceability a regulated institution requires.

Comparison

Three ways to automate your credit decisions

What a financial institution gets from each option, across the dimensions that actually matter.

Changing a credit policy

From the moment it is decided until it runs in production.

Build in-houseWeeks or months (IT release)
Generic / legacy engineDays, requires a technical profile
uFlowHours, self-service for the risk team

Autonomy for the business / risk team

Build in-houseEvery policy change requires an IT development cycle
Generic / legacy enginePartial, with technical support
uFlowAutonomy within defined permissions and controls, with a NoCode editor

Policy versioning and rollback

Reverting to an earlier version during an incident.

Build in-houseHas to be built and maintained
Generic / legacy engineLimited or manual
uFlowAutomatic versioning with controlled reactivation of previous versions

Testing environments before production

Testing changes without affecting real decisions.

Build in-houseTo be built by each team
Generic / legacy engineDepends on the implementation
uFlowBuilt-in testing environments

Traceability and audit of every decision

Input, rules applied and outcome, all auditable.

Build in-houseTo be built; ongoing maintenance cost
Generic / legacy engineCoverage varies
uFlowComplete log + transaction explorer

Segregation of roles and permissions

Build in-houseTo be built and governed
Generic / legacy engineAvailable
uFlowPer-user permission administration

Pre-certified credit bureaus and data sources

Without integrating each provider one by one.

Build in-houseBuild your own integration per source
Generic / legacy engineLimited catalog
uFlow30+ pre-certified providers across Latin America

Machine learning without your own infrastructure

Build in-houseMaintain Python / R environments
Generic / legacy engineNot covered or limited
uFlowRun Python or R models without operating those environments

Certified security

Build in-houseYour own responsibility
Generic / legacy engineVaries by provider
uFlowISO/IEC 27001, 2FA, encryption at rest and in transit

Infrastructure and scalability

Build in-houseYou provision and maintain everything
Generic / legacy engineDeployment and scalability depend on each provider
uFlowServerless in the cloud, scales automatically

Total cost and time to production (TCO)

Build in-houseHigh capex + a dedicated team
Generic / legacy engineLicenses + consulting
uFlowSaaS: typical implementation in weeks, depending on each institution
Cubierto Parcial / con esfuerzo No cubierto
Verifiable capabilities

What can be stated about the engine, and where it comes from

Every claim with its context and its source, so you can check it during due diligence.

Policy changes that used to take months are now managed in hours

Self-service for the risk team, within defined permissions and controls. Reported by a customer in production.

Source: Testimonial from Felix Diaz, Credit Risk Director at CredijamarAs of July 2026

Automatic versioning with controlled reactivation of previous versions

Every version is recorded and can be reactivated in a controlled way, without an IT deployment.

Source: uFlow security: versioning, roles and access controlAs of July 2026

Typical implementation in weeks

Depending on each institution's integrations, security and approval processes. SaaS model with no infrastructure to maintain.

Source: uFlow success story in the cloud: serverless architectureAs of July 2026

Built for regulated institutions

Autonomy for the business, control for the bank

Your risk team changes policies without requiring an IT development for every change. The institution keeps the governance, traceability and security its regulator requires.

Policy governance

Automatic versioning, testing environments and controlled deployment. Change a policy in hours, with controlled reactivation of previous versions.

Traceability and audit

Every decision records its input, the rules applied and the outcome. Explore past transactions: the basis for audit and compliance.

Certified security

ISO/IEC 27001:2022, 2FA authentication, JWT tokens and encrypted data on AWS serverless infrastructure.

uFlow does not replace your IT team: it reduces their involvement in day-to-day policy changes so they can focus on integration, architecture, security and governance.

Frequently asked questions

Everything you need to know

Does uFlow replace my IT team?+

No. It gives the risk and business teams the autonomy to design and change credit policies without writing code, while IT keeps control through roles, permissions, testing environments and the REST API used for integrations.

How does uFlow govern credit policy changes?+

Every policy has automatic versioning: you can store all of its versions, test them in testing environments and reactivate a previous version instantly. Per-user permissions define who can edit, test and deploy to production.

Are decisions auditable for a regulator?+

Yes. Each decision records its input, the rules applied and the outcome, and you can explore previous transactions. That end-to-end decision traceability is the basis for audit and compliance work.

What security certifications does uFlow hold?+

uFlow holds the ISO/IEC 27001:2022 certification, and uses 2FA authentication, JWT tokens and encrypted data on serverless cloud infrastructure.

Build, buy, or choose uFlow

Transform your credit assessment process with the decision engine.