AI Workflow Automation · Agents
A production agent on your hardest bottleneck, not a demo.
Design then build and deploy a single autonomous, tool-using agent, scoped to one named, high-value bottleneck, with well-designed tools, explicit memory, MCP integration, and self-verification, then handed to your team to operate.
The package
AI Agent Build
When a workflow is too judgment-heavy for a fixed pipeline, an agent earns its complexity. This package designs the agent deliberately, then builds and deploys it as a production system your team can run, not a black box. Buy the design, the build, or both as one program.
- A deliberately designed agent, with the workflow-vs-agent decision made on purpose
- A production agent with well-designed tools, explicit memory, and MCP integration
- A deployed, observable agent with self-verification so errors are caught early
- An agent your in-house team can operate and extend, senior-built and handed back
What's inside
Projects in this package
Agent Design & Architecture
The agent blueprint before the build: requirements, the workflow-vs-agent decision, model and tool choices, memory and state, and the agent-computer interface at the right altitude.
Explore
Agent Build & Deployment
Build and deploy the production agent: tools designed for the agent, explicit memory and state, MCP client integration that keeps PII out of context, and a deployment with self-verification.
ExploreOne system, three layers
When one agent isn't enough
When the job is too broad or parallel for a single agent, Agentic Orchestration designs and builds several specialized agents into one production system.