Pega (Pegasystems) is used by large banks, insurers, healthcare organizations and governments to automate complex work and decide the next best action for each customer. Its case management and decisioning engines are among the most capable on the market, but they reward careful design. Choosing the right Pega implementation services partner has a big impact on how quickly you see results.
This guide covers what Pega is used for, what’s new in the platform, what implementation and consulting services should include, how to evaluate partners, and how to plan a rollout that sticks.
What is Pega used for?
- Case management: handling long-running work such as claims, disputes, onboarding and service requests, with stages, SLAs and full audit history.
- Workflow automation: routing work between people, systems and bots based on rules.
- Customer decisioning: real-time “next best action” recommendations for service and marketing, powered by Pega’s decision engine.
- Customer service: guided agent desktops and self-service journeys.
- Robotic automation: automating tasks in legacy applications without APIs.
Pega is strongest in large, regulated organizations with high volumes of complex, policy-driven work.
What’s new in Pega Infinity
Pega has repositioned its platform around governed, agentic AI. Pega Infinity 26, released in July 2026, introduced:
- Pega Infinity Studio, an AI-assisted development environment with governance built in.
- Pega Blueprint, which turns business requirements and best practices into draft application designs, speeding up the design phase.
- Predictable AI agents and orchestration, which let AI agents, including third-party ones, work inside governed Pega workflows.
For buyers, this means faster design and build cycles, and new options for AI-assisted service. It also raises the importance of governance: deciding which steps AI can handle and where human approval is required.
What Pega implementation and consulting services include
- Discovery and roadmap: identifying high-value case types and journeys, and sequencing them into releases.
- Solution design: case lifecycles, data model, decision strategies and integration architecture, often accelerated with Blueprint.
- Build and configuration: case types, UI, rules, decisioning and integrations, following Pega’s guardrails.
- Integration: connecting Pega to core banking, policy, claims, CRM and document systems.
- Migration and upgrades: moving from older Pega versions or legacy workflow tools to current Pega Infinity releases.
- Testing and DevOps: automated testing and deployment pipelines across environments.
- Managed support: production support, performance tuning and ongoing enhancements.
How to choose a Pega consulting partner: 7 questions to ask
- Which Pega products have you implemented? Case management, Customer Decision Hub and Customer Service are different skill sets.
- How many certified Pega architects will be on the project, and at what level (System Architect, Senior, Lead)?
- Do you follow Pega’s guardrails? Heavy customization outside the guardrails makes upgrades slow and costly.
- Have you delivered in our industry? Ask for examples with measurable outcomes.
- How do you handle integration and data? Most Pega projects succeed or fail on integration with core systems.
- How will you use Blueprint and Pega’s AI features? Look for a clear governance approach.
- What’s your delivery model? Understand the onsite/offshore mix, time-zone coverage and who owns quality.
Common Pega implementation mistakes
- Automating a broken process: redesign the case lifecycle first.
- Ignoring guardrails: custom code and workarounds create technical debt that blocks upgrades.
- Trying to do everything in release one: start with one or two high-value case types, then expand.
- Underestimating integration: plan time for core-system APIs, data quality and error handling.
- Skipping performance testing: high-volume case work needs load testing before launch.
Pega vs. Appian
Both are leading platforms for process automation. Pega is particularly strong in real-time customer decisioning and very high-volume case management. Appian is often chosen for faster low-code delivery and its data fabric. The right choice depends on your use cases, existing skills and budget. See our Appian consulting guide for the Appian side.
Scadea’s Pega work
Scadea delivers Pega implementation, integration and support as part of our hyperautomation and low-code practice, with a focus on regulated industries. Examples:
- Banking: streamlining compliance processes with Pega
- Healthcare: streamlining patient onboarding with Pega
- E-commerce: streamlining operations with Pega
Need Pega architects to strengthen your own team? We also provide certified Pega developers through staff augmentation.
Frequently asked questions
How long does a Pega implementation take?
A first release covering one or two case types typically takes 3–6 months. Large programs are delivered in phases over a year or more.
How much do Pega implementation services cost?
Cost depends on the number of case types, integrations, decisioning scope and data migration. Most partners recommend a short discovery phase before giving a reliable estimate.
Do we need to upgrade to the latest Pega Infinity release?
Staying current gives you security fixes and the newest features, including Blueprint and AI capabilities. Applications built within Pega’s guardrails are much easier to upgrade.
Can Pega work with our existing systems?
Yes. Pega connects to core systems through APIs, connectors and messaging, and its robotic automation can handle legacy applications that lack APIs.
Planning a Pega implementation, upgrade or rescue? Talk to Scadea’s Pega team about a phased plan.
