AI & Agentic Solutions

From Experimental Labs to Production-Grade Intelligence

1 Strategy AI Readiness & Strategy Audits
2 Architect Secure Cloud-Native Foundations
3 Build Agentic Workflows & RAG
4 Govern Responsible AI & Evaluation

Custom AI Agent Development

  • Agentic Workflows: Systems that don't just chat, but execute tasks across your tech stack.
  • NL-to-SQL Assistants: Enabling non-technical teams to query data warehouses using plain English.
  • Automated Responses: Intelligent Salesforce integration for categorizing and resolving customer queries.

Enterprise RAG & Knowledge Systems

  • Legal Document Agents: Automated review systems for clause validation and agreement querying.
  • Secure Retrieval: Implementing AWS Bedrock and OpenSearch for high-precision knowledge access.
  • Sales Intelligence: Azure OpenAI-powered bots providing instant product query answers for sales teams.

AI-Ready Data Platforms

  • Data Literacy Labs: Setting up cloud-based innovation labs to drive enterprise data experimentation.
  • Unified Architecture: Re-platforming siloed warehouses into secure, single-pane data platforms.
  • Production ML: Scaling ML solutions for proactive maintenance and operational efficiency.

Responsible AI & Governance

  • Secure by Design: Architecting AI with IAM, KMS, and resource-level policy enforcement.
  • Evaluation Frameworks: Monitoring for hallucination detection, bias auditing, and cost optimization.
  • Secure Integration: Engineering multi-cloud integration (AWS, Azure, Salesforce, Snowflake) for AI workloads.

The Architect's Edge

We leverage a deep engineering pedigree—from C++ and Java to Python and LLMs—to ensure AI isn't just a wrapper, but a core component of your system architecture.

Ready to build your agentic roadmap?

Leverage 30 years of system design to ensure your AI is secure, scalable, and reliable.

Consult an AI Architect