Aaseya Agentic AI
Acceleration Suite on AWS powered by Pega

Get started today with our suite on the AWS Marketplace or speak to one of our experts.

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Agentic AI dashboard visualization

Overview

Aaseya's Agentic AI Acceleration Suite on AWS enables enterprises to design, implement, and scale intelligent digital agents using Pega's Agent Experience platform.

Developed through the Pega Lighthouse co-innovation program, this offering includes reusable implementation templates, governance frameworks, reference architectures, and best-practice delivery guides co-created with Pega Engineering. It helps enterprises operationalize Agentic AI with explainability, compliance, and measurable ROI.

Built on AWS-native infrastructure, the solution embeds App-level Conversational Agents and specialized Agent Steps directly into enterprise workflows to automate intake, triage, research, automation, and communication tasks while maintaining human-in-the-loop governance.

Aaseya Agentic AI Solution Illustration

Organizations Typically Achieve

engineering

40–60%

Reduction in manual effort through autonomous AI agents.

speed

30–50%

Faster case resolution with real-time AI-assisted decision making.

savings

20–40%

Reduction in operational costs by optimizing resource allocation.

verified_user

Improved

Compliance, auditability, and fraud detection capabilities.

Pre-built accelerators are available for International Travel Medical Pre-Authorization, Customer Service Automation, Payment Investigation Automation, and Inspection Management enhanced with Agentic AI capabilities. 

Business Challenge

Enterprises face growing operational complexity driven by fragmented systems, manual processes, compliance pressures, and rising service expectations. Many AI initiatives remain isolated pilots without scalable governance or clear ROI.

To move beyond automation, organizations require orchestrated digital agents embedded within enterprise workflows, governed by transparent business rules and compliance frameworks.

Solution Scope

Aaseya delivers a structured, outcome-driven Agentic AI implementation framework on AWS using Pega's workflow orchestration and GenAI capabilities.

The engagement includes:

check_circleAgentic Blueprint creation and value modeling
check_circleApp-level Conversational Agent implementation
check_circleFive specialized Agent Steps aligned to Intake, Triage, Research, Automation, and Communication
check_circleConnect GenAI configuration
check_circleBusiness rule and policy validation integration
check_circleHuman-in-the-loop governance controls
check_circleSecure API-based integration with enterprise systems
check_circleReference architecture and reusable implementation assets

Pre-Built Agentic Accelerators

Fast-track your AI journey with our industry-specific blueprints.

local_hospital

International Travel Medical Pre-Authorization

  • Automated eligibility validation and document parsing
  • Policy inclusion checks and pre-approval calculation
  • Governance controls for medical review

Impact: 30–50% faster pre-authorization turnaround.

support_agent

Customer Service Agentic Automation

  • Intelligent intake and case summarization
  • Automated communications and SLA monitoring

Impact: 35–50% faster resolution, improved CSAT.

payments

Payment Investigation Agentic Automation

  • Automated transaction research and risk rule validation

Impact: 30–45% faster investigations and improved fraud detection.

fact_check

Inspection Accelerator with Agentic AI

  • AI-assisted inspection intake and evidence validation
  • Risk scoring and compliance reporting

Impact: 25–40% higher inspection throughput and improved audit accuracy.

Deliverables

Depending on engagement scope:

description

Agentic Blueprint and ROI model

architecture

Reference Architecture (AWS-aligned)

code

Working reference implementation (RAP assets)

menu_book

Implementation Guide and best-practice documentation

shield

Governance and AI risk framework

request_quote

Sizing and pricing model

school

Enablement and transition documentation

Engagement Phases

1

Discover & Blueprint
(2–4 weeks)

Assessment of existing workflows, AI readiness, and definition of the Agentic AI strategy.

2

Agent Architecture &
Build (4–8 weeks)

Developing AI agent personas, decision logics, and configuring Pega GenAI connectors.

3

Accelerator Deployment
& Integration

Implementing selected accelerators and integrating with AWS infrastructure and enterprise systems.

4

Scale & Enablement

Establishing governance controls, training users, and scaling AI agents across the organization.

* Timeline and scope vary based on complexity and integrations.

Customer Responsibilities

cloud

Provide access to AWS environment and relevant enterprise systems

groups

Assign business and technical stakeholders

policy

Define data governance and security policies

integration_instructions

Support integration validation and testing

Pricing Information

Available as fixed-price pilot, milestone-based implementation, or private offer via AWS Marketplace.

Contact for Pricing
Inquire on AWS Marketplace

Service Regions

Global delivery capability across all major continents and trade routes.

Service Regions Map

Competencies & Differentiators

workspace_premium

Pega Government Elite Partner

hub

Pega Lighthouse Agentic AI Co-Innovation Partner

cloud_done

AWS Advanced Tier Partner

verified

Proven delivery in regulated industries

Check out the details on AWS Marketplace:

Get started today with our suite on the AWS Marketplace or speak to one of our experts.

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