Enterprise AI agents for automating complex workflows at scale
Ampliwork builds AI agents designed to handle multi-step enterprise workflows while meeting compliance and security requirements. The stack reveals a production-focused architecture: Python + Transformer + RAG for the AI layer, Azure + Terraform + Azure DevOps for cloud infrastructure, and Retool for agent UI. Active projects span agentic workflow development, tax-use-case automation, and AI interaction prototyping — suggesting a near-term shift from generalist demos toward domain-specific agents. Pain points around 'delivering AI agents in production' and 'opaque AI behavior' align with this execution phase.
Ampliwork is a 11–50 person AI software company headquartered in Boston, privately held. The team builds enterprise-grade AI agents to automate complex, multi-step tasks — reducing manual bottlenecks and regulatory risk while freeing high-value human work. The engineering-heavy hiring mix (4 engineers, 3 product) and active projects on cloud architecture, data integrity, and security compliance indicate infrastructure and product maturity work. The organization is in early-stage hiring mode (1 role posted in the last 30 days), with Canadian expansion underway.
Core AI: Python, BERT, Transformer, RAG. Infrastructure: Azure, Terraform, Azure DevOps, Azure Key Vault. UI/prototyping: Retool, Figma, Framer. Automation: Zapier (currently adopting). Source control: GitHub Actions, Git.
Primary focus: agentic workflow development and AI-powered automation for tax-related use cases. Secondary: cloud-native architecture design, AI interaction UI prototyping, user research on AI workflows, and roadmap/PRD definition.
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