Agentic workflows that actually ship.

We design, build, and run custom AI agents for your team—secure, observable, and integrated with the tools you already use.

Trusted by forward-thinking teams
Northscale Capital
Pathway Health
Relay Labs
Delivery paths

Choose how you want to engage

From focused pilots to managed production operations, each path is designed for a different stage of AI adoption.

Our proven process

From discovery to deployment in weeks

We follow a battle-tested methodology to design, build, and deploy AI agents that integrate seamlessly with your existing workflows and tools.

Built for enterprise. Designed to scale.

Every agent we build is production-grade from day one—with security, observability, and full data ownership baked in.

Security by default

Every agent runs in isolated VPS/VM environments with network policies, secrets management, and IAM controls. Your data never leaves your perimeter.

Security infrastructure

Your data. Your logs.

Connect your data warehouse and own every event. We integrate with BigQuery, Snowflake, PostgreSQL, S3, and more.

Data and logs

Full observability

Tracing, cost tracking, and human-in-the-loop review across every agent interaction.

Observability

Deployment fit

Cloud, on-premise, or hybrid rollout paths aligned to your compliance and latency requirements.

System interoperability

A connector-first approach so agents plug into your existing stack without expensive rewrites.

Operating model

Choose advisory, build-only, or fully managed operations depending on your internal team capacity.

More than just agents

We deliver complete agentic systems—from prompt engineering and tool integration to production infrastructure and ongoing operations.

End-to-End Agentic Infrastructure
Data Sources
Excel / Sheets
Structured data
AWS S3
Cloud storage
BigQuery
Analytics DB
Log Streams
Observability
PostgreSQL
Relational data
AI
Agentic Platform Core
Prompt engineering, tools, and production operations
Snowflake
Data warehouse
Claude
Anthropic LLM
Kimi / Moonshot
Long-context model
OpenAI GPT-4o
Reasoning model
Workflows
n8n Automation
Trigger pipelines
REST APIs
Tool integrations
Slack Alerts
Human-in-loop
Email / Reports
Auto summaries
Vector Store
RAG retrieval

Complete agentic systems from data ingestion to workflow execution, with governance and reliability controls built in.

How we deliver

Our four-phase process ensures every agent project moves from idea to production with minimal risk and maximum impact.

Phase 1: Discover & Map

Stakeholder Interviews

We sit with your team to map workflows, understand pain points, and identify the highest-impact automation opportunities.

Tool Audit

We catalog your existing tools, APIs, and data sources to design seamless agent integrations.

Risk & Guardrails

We define safety boundaries, compliance requirements, and escalation paths before writing a single line of code.

Phase 2: Design & Architect

System Design

Architecture docs, model selection, prompt strategies, and tool-calling patterns tailored to your requirements.

Security Planning

Infrastructure isolation, secrets management, and IAM policies designed for your compliance needs.

Success Criteria

Measurable KPIs and acceptance criteria so you know exactly when the agent is performing as expected.

Phase 3: Build, Test & Deploy

Agent Development

Iterative development with weekly demos, continuous testing, and performance tuning.

Production Deploy

Battle-tested deployment to isolated infrastructure with monitoring and alerting from day one.

Team Training

Comprehensive handoff with documentation, runbooks, and training so your team stays in control.

Avery Chen
JamStackLabs turned a messy manual process into a reliable agent in weeks. The quality of our research has actually improved while cutting time by 70%.
The world's first agentic AI consultancy

Ready to agentify your org chart?

Let's discuss how we can build custom AI agents that automate your workflows, reduce costs, and scale your operations.