Why build a custom AI agent instead of using ChatGPT?
Custom agents can connect to your systems, enforce workflow rules, remember business context, and produce repeatable outputs inside your operating process.
Custom AI Agents
Custom AI agents built around how your company works
Off-the-shelf AI tools are useful, but many teams need agents that understand their workflow, data, preferences, and approval rules. We build those agents from the workflow back.
Who this is for
Built for teams with real workflows, data, and handoffs
Companies that need AI connected to private tools and internal knowledge.
Teams with specialized workflows that generic assistants do not understand.
Operators who need repeatability, logs, permissions, and deployment control.
Common workflows
Workflows we can automate
- Company knowledge assistants over docs, tickets, policies, and CRM data.
- Personalized research, memo, and reporting agents.
- Sales, support, booking, onboarding, and customer-facing agents.
- Vertical LLM applications for niche business processes.
What you get
Practical launch outcomes
- A custom agent architecture matched to the workflow.
- Model routing across reasoning, extraction, classification, drafting, and code tasks.
- Security, permissions, memory, retrieval, and human handoff design.
FAQ
Questions buyers ask before building an AI agent
Can a custom agent use multiple AI models?
Yes. Different tasks can be routed to different models for reasoning, extraction, vision, coding, classification, and lower-cost drafting.
Can the agent work with private company data?
Yes, with the right data access, retrieval, logging, and permission design. Sensitive data flows should be mapped before implementation.
Start with one workflow