Agentic AI Accelerator

At the core of the Agentic AI Accelerator is a Planner agent that interprets intent, decomposes complex requests, and orchestrates a team of specialist agents in real time, querying operational data, calling external systems, searching your document library, and building visualizations, then composing a single, cited answer. The agents dynamically navigate complex data ecosystems, extracting facts, validating context, and synthesizing insights as they go.

Because it's built custom for your environment rather than licensed as a product, you own the resulting IP outright, with no product costs and no royalties. Agents continuously learn from usage, enabling knowledge discovery, contextual decision-making, and resource optimization across domains, and delivering an adaptive, intelligent edge for solving complex, data-driven challenges with speed, accuracy, and explainability.

Key features

• Planner-Orchestrated Multi-Agent Architecture: At the core of the Accelerator is a Planner agent that interprets user intent, decomposes complex requests, and dynamically coordinates specialist agents (Operational Data, External APIs, Document Knowledge, Visualization, and Continuous Memory agents) to deliver complete, context-rich answers and actions.
• Multi-Modal Data Integration: Connects seamlessly to databases, APIs, and document repositories, enabling unified access to structured (SQL, telemetry) and unstructured (contracts, PDFs, reports) data without duplication or manual preparation.
• Intelligent Action Agents: Extends beyond retrieval into actionable automation: agents can trigger workflows, generate reports, recommend optimizations, or summarize decision paths, accelerating operational outcomes.
• Two Ways In (Conversational and Headless): A browser-based interface streams the Planner's reasoning live for people who need to dig in, while a headless API endpoint lets systems POST a query and receive the same agent reasoning back as a stream of events: no browser, no session, no person required.
• Extensible for Industry-Specific Agents: The modular design supports domain-tuned extensions, from robotics and warehouse fleet monitoring, where a 15-minute polling agent flags downtime spikes and opens maintenance tickets automatically, to P&C insurance, where an adjuster's agent cross-references claims history against underwriting guidelines and routes standard versus fraud-review cases.
• Continuous Memory & Prompt Optimization: A dedicated Continuous Memory agent extracts durable facts from every interaction and queues them for expert review, while DSPy-driven optimization improves the system's reasoning chain, prompt structure, and query efficiency based on real-world usage, resulting in progressively smarter, more context-aware interactions.
• Explainable, Auditable Results: Every answer and action is traceable to its source, with metadata-driven reasoning chains that promote trust, transparency, and verifiable decision support for regulated environments.
• Secure, Compliant AWS Foundation: Deployed across Amazon Bedrock, Amazon Cognito, Aurora (PostgreSQL with pgvector), OpenSearch, DynamoDB, ECS/Fargate, AWS Lambda, and CloudFront, all provisioned consistently via AWS CDK. The system ensures privacy, governance, and resilience, meeting enterprise and regulatory requirements across industries.