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    AILA Agentic

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    Sold by: DataArt 
    AILA Agentic: AWS-native enterprise platform for production AI agents on Amazon Bedrock AgentCore, Knowledge Bases (RAG), Code Intelligence, and AILA Workspaces. Multi-agent orchestration, MCP, SSO, audit-by-construction.components. The framework provides enterprise-ready security, multi-tenant deployment, and seamless integration with AWS services for scalable agentic AI solutions.

    Overview

    AILA Agentic is an AWS-native enterprise platform for building production AI agents. It solves the structural problems that block agent deployments in regulated, data-intensive organizations — complex multi-service integration, security and compliance overhead, scalability bottlenecks, operational debt, and the gap between prototype and production — with a modular framework built on Amazon Bedrock AgentCore.

    Foundation. Declarative configuration assembles agent applications from proven, reusable building blocks: Terraform/Terragrunt modules, multi-environment promotion (Dev/QA/UAT/Prod), and automated CI/CD pipelines. Two layers atop AWS: AILA Workspaces (three faces — Organization, Project, Personal — with hierarchical permission inheritance and workspace-scoped JWT claims) sit above an agent runtime built on AgentCore + Knowledge Bases (RAG with Amazon S3 Vector storage).

    Agents that build and operate on enterprise systems. Code Intelligence — pre-extracted code metadata enables agents to navigate enterprise codebases without LLM context bloat (open-sourced at github.com/okomissarov/code-progressive-discovery). Module-level expert agents ship with each AILA module. Dynamic UI Agent generates interfaces from intent. Multi-Agent Teams and Swarm Execution coordinate parallel agents under a synthesising coordinator. Agentic Information Intelligence — the reasoning layer above deterministic systems (knowledge graphs, document stores, business systems, data systems, external systems).

    Frameworks and integrations. Multi-framework agent runtime — Strands, LangGraph, OpenAI SDK and others — framework optionality rather than lock-in. MCP integration for tools and resources (Jira, Confluence, Salesforce, Git APIs, custom). Bi-directional AILA–Kiro integration brings IDE-led agent development into the platform; Kiro CLI exposed via MCP.

    Enterprise security and observability. VPC integration, customer-managed KMS encryption, IAM least-privilege, SSO (Cognito, Okta, Azure AD) with workspace-scoped JWT claims, content-safety guardrails, CloudWatch + OpenTelemetry observability, and platform-level audit trail covering every agent action.

    Catalog and lifecycle. 30+ specialist domain agents available in the AILA catalog; 60+ shared skills plus 106+ curated skills across 10 categories in the distributed catalog. No-code agent creation democratizes agentic automation across teams, projects, and business functions. AILA Lifecycle Support covers Deploy / Enhance / Monitor for production agents. Open-source foundations (Parquet, Iceberg). AWS pay-per-use economics. AILA Agentic delivers a customer-owned, enterprise-grade foundation for AI agent platforms — Well-Architected across all six pillars, deployable in eu-west-2, us-east-1, and other AWS commercial regions.

    Highlights

    • 70% reduction in new agent dev time via declarative configuration on Amazon Bedrock AgentCore; 30+ specialist domain agents in the AILA catalog
    • Multi-framework agent runtime (Strands, LangGraph, OpenAI SDK); MCP integration for tools; Code Intelligence for enterprise codebases
    • Row-level security for AI: AILA Workspaces three-faces isolation, SSO, platform-level audit trail — regulator-defensible from day one

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