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    Start & Scale your Agentic AI Journey on AWS with Sia

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    Sold by: Sia 
    Identify 1–3 high‑value use cases, prove ROI with a prototype, then scale to production. Achieve fast pace from concept to value by using AWS’s managed agentic stack rather than building bespoke infrastructure.

    Overview

    Typical agentic stack

    Orchestration: AgentCore-compatible framework (Strands, LangGraph, etc.)

    LLMs: Curated model selection from the Bedrock model catalog in the target region, Custom Models imports, or self-hosting on EC2

    Knowledge Base: Appropriate data source for the use case (Bedrock knowledge base, OpenSearch, Aurora, Pinecone, S3 Vectors, etc.)

    Connectors: Tools and actions for agent to interact with company’s software and datalake.

    End‑to‑end method

    Discovery – Business-centric workshop, data/intent audit, risk & compliance review, value framing and use case prioritization. We leverage dual expertise with both business experts (Strategy & Management Consulting Business Line) and engineers (AI, Data & Quantitative Business Line) to ensure a sharp focus on use case alignment with business strategy.

    Design – Evals metrics, reference architecture incl. toolization strategy, business validation requirements (I/O guardrails, HITL thresholds, etc.), data residency requirements.

    Implement prototype – Evals datasets, Python-based agent, model selection, knowledge bases, and minimal systems/APIs integration for working prototype.

    Scale – Deeper systems integration, external compliance audit, continuous deployment flow, cost controls, SLOs.

    Optimize – Post‑deployment support, drift & safety reviews, roadmap for additional agents and domains.

    Main Use Cases

    We have deployed across clients a fleet of specialized AI agents built on domain expertise to solve business problems across compliance, legal, marketing, sales, HR, finance, IT, and industry-specific contexts like banking, insurance, construction, and retail. Solutions streamline compliance monitoring, reduce legal workload, improve audit readiness, optimize marketing ROI, and support innovation with privacy-preserving data. Their outputs—summaries, alerts, recommendations, and reports—help organizations cut costs, manage risks, and accelerate decisions.

    Here is a list of our on-the-shelf AgentCore solutions. 

    Compliance & Legal:

    RegMatcher, Compliance Analyzer, Contract Validator – compare regulations, policies, and contracts to flag risks and gaps.

    RegReview Navigator & Change Monitor – retrieve and track regulatory updates, keeping knowledge bases current.

    Compliance Advisor & Legal Clause Extractor – interactive Q&A and automated clause identification to speed legal research and reviews.

    Data & Technology:

    Synthetic Data Generator – creates GDPR-compliant synthetic datasets, enabling safe AI model training.

    Code migration - defines unit and end-to-end tests to validate and interact with the Agent proposed code translations.

    Marketing & Sales:

    Advertising Campaign Enhancer – analyzes ad performance and recommends specific strategy or budget optimization.

    We are working on various AWS infrastructures (Bedrock, Q, SageMaker...) and our products rely on differents AWS services when creating and deploying a platform or a software for a customer.

    Highlights

    • Enterprise-Ready Agentic Stack: Built on an AgentCore-compatible framework with flexible orchestration, curated LLMs (Bedrock, Custom Models, EC2 hosting), and dynamic knowledge bases like OpenSearch.
    • End-to-End AI Deployment Framework: From discovery to optimization, our structured method ensures alignment with business strategy, compliance, and scalability across all stages of AI agent lifecycle.

    Details

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    Delivery method

    Deployed on AWS

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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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