Pragnos.AI / Agentic QE

Agentic Quality Engineering. Built
for Banking and Payments.

Bring financial services domain intelligence and specialist AI agents together to connect requirements, test design, automation and defect analysis—with expert oversight at every critical decision.

See Agentic QE in Action ↗Explore the Workflow ↓

Domain-led intelligence · Six specialist agents · Human oversight

✦ Six specialist agents

✓ Expert review stays in the loop

Designed for financial services complexity

BankingCardsPaymentsLendingEnterprise QE

The quality challenge

Software changes fast. Quality needs to keep pace.

Financial services platforms combine intricate business rules, critical transaction paths and constant change. Quality engineering needs to connect business intent with the evidence teams need before release.

The goal isn't just to run more tests. It's to understand what's covered, what needs attention and why it matters.

Where traditional QE feels the pressure

Domain-heavy business rulesCard lifecycle events, payment flows and lending logic require context beyond generic test scripts.

Ongoing test maintenanceApplication changes can leave test assets outdated and create repetitive upkeep.

Release pressureTeams need faster feedback without losing sight of reliability and risk.

Disconnected workflowsRequirements, test design, execution and defect analysis can sit in separate processes.

The Pragnos approach

Domain expertise meets agentic intelligence.

Pragnos Agentic QE brings financial services specialists and six task-focused agents together to support connected quality workflows — from understanding requirements to reviewing results.

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Understand the context

Ground quality activities in requirements, business rules and the transaction journeys that matter.

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Coordinate specialist agents

Bring focused capabilities for test design, automation, test data, defect intelligence and regression optimization into the workflow.

✓

Keep people in control

Use expert review and validation to guide critical quality decisions and support release readiness.

Six specialist agents

Purpose-built capabilities. Working as one.

Each agent supports a distinct part of the QE workflow. Together, they help experts connect business intent, test coverage and quality signals.

DESIGN

Test Design

Support scenario creation and test coverage from requirements, business rules and user journeys.

BUILD

Test Automation

Assist automation workflows to help teams create and maintain repeatable validation.

ADAPT

Self-Heal

Help identify changes in test assets as application interfaces and workflows evolve.

PREPARE

Test Data

Support preparation and management of data needed for meaningful test scenarios.

ANALYZE

Defect Intelligence

Assist result analysis and defect investigation to surface useful signals for experts.

OPTIMIZE

Regression Optimizer

Help prioritize regression coverage as code, requirements and risk areas change.

How it works

Quality moves forward.
Intelligently. Automatically.

At every change, Pragnos can help teams connect requirements, test workflows and quality signals — with experts guiding the decisions that matter.

STAGE 01 / 07

Understand your requirements.

Start with business intent. Bring requirements, specifications and financial services rules into view so testing begins with the right context.

✓ Interpret business rules✓ Map key transaction journeys✓ Identify what needs validation

What better QE should enable

Make quality easier to see — and act on.

Focus on measurable indicators that help teams understand progress, coverage and release readiness. Validate specific impact claims against delivery data.

OUTCOME 01

QE cycle time

Track time required to move from requirements and test design through validation.

OUTCOME 02

Coverage quality

Understand how tests map to business rules, risk areas and transaction flows.

OUTCOME 03

Maintenance effort

Measure work needed to keep test assets aligned with application changes.

OUTCOME 04

Release confidence

Bring test results, defect signals and expert review into readiness decisions.

Reasoning. Action. Human oversight.

Agents accelerate the work. Experts remain accountable.

Pragnos Agentic QE is designed around collaboration between people and AI agents. Specialist agents assist defined tasks while domain experts guide context, review outputs and retain control of critical quality decisions.

Experts guide business context and critical decisions.
Agents assist with task-focused QE activities.
Connected workflows help reduce fragmented handoffs.
Review and validation remain part of the delivery model.

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Specialist agentsTest assets · Analysis · Recommendations

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Coordinated QE workflowContext carried across connected activities

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✓

Expert review & validationReview · Approve · Sign off

Frequently asked questions

Agentic QE, clearly explained.

What is Pragnos Agentic QE?

Pragnos Agentic QE combines financial services domain expertise with six specialist AI agents to support activities such as test design, automation, test data, defect intelligence and regression optimization.

Which financial services areas does it focus on?

The offering is positioned for cards, payments and lending, where complex business rules, transaction flows and integrations are central to quality.

Do AI agents replace quality engineering experts?

No. Agents assist defined tasks, while people provide business context, review outputs and retain control of critical decisions.

Can we quantify the expected impact?

Impact should be assessed against agreed baseline measures such as QE cycle time, test coverage, maintenance effort and release-readiness indicators. Specific performance claims should only be published when supported by validated evidence.