SquadForge – Virtual Teams with Agentic AI

SquadForge is a next-generation platform for building, orchestrating, and scaling AI agents in serverless environments. Designed for teams exploring agentic automation, it enables users to create virtual team members from job descriptions and exemplar artefacts to perform document ingestion, validation, analysis, system actions, and tool-driven workflows. Built on Amazon Bedrock AgentCore and the Strands Agents SDK, SquadForge offers a unified, declarative approach to composing agents with reasoning capabilities, retrieval, tool integration, and role-specific behaviours.

SquadForge supports diverse team-augmentation scenarios from document processing and operational checks to data integration and domain-specific collaboration across virtual roles. Users can connect MCP tools, integrate proprietary systems, define business rules, and assign them to agents acting as specialized teammates within their delivery squads. Every agent and tool invocation is fully observable, with traces, logs, and evaluation hooks available for quality assurance and auditability.

SquadForge’s experimentation-first design makes it ideal for teams validating agentic workflows before full-scale adoption. Human-in-the-loop checkpoints, policy guardrails, and secure IAM-controlled execution allow organisations to evaluate, refine, and test the use of agents and squads with a human in the loop cycle. Whether used for finance operations, technical documentation generation, QA workflows, or enterprise knowledge processing, SquadForge provides the flexibility and governance required for modern AI transformation.

Future capabilities include extensible document intelligence for ingesting both unstructured and structured documents, and traceable agent interactions with logs and evaluation hooks designed to strengthen quality assurance and auditability.

Benefits:

• Rapid Agent Creation: Build custom agents and multi-agent systems without complex orchestration or infrastructure management.
• MCP Tool Integration: Connect tools, APIs, and enterprise systems seamlessly for end-to-end automation.
• Secure & Observable: Leverages AWS-native identity, logging, monitoring, and policy controls for full governance.
• Extensible Document Intelligence: Supports ingestion and processing of unstructured and structured documents, enabling intelligence-driven workflows.
• Experimentation-Ready: Ideal for R&D teams evaluating agent workflows, providing rapid prototyping and iterative refinement.
• Scalable Serverless Architecture: Automatically scales with usage and supports production-grade reliability without operational overhead.