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AI Agents

AI Agents
That Get Real Work Done

The next wave of AI isn't about generating text. It's about taking action. We build AI agents that reason through complex tasks, use tools, and execute multi-step workflows autonomously. Production-ready agents that integrate with your systems and handle real business processes.

Talk to the Team
5 days
Time to first deployment
3+ years
Average partnership
98%
Client retention

Prefer to write first? Contact us

Key Capabilities

Everything you need to build production-grade solutions

Multi-Step Reasoning & Planning

Build agents that break down complex goals into actionable steps. Our agents plan, execute, and adapt, handling the nuanced decision-making that simple automation can't touch.

Tool Use & API Integration

Connect agents to your existing tools, databases, and APIs. From Salesforce to Slack to custom internal systems, we build agents that work within your ecosystem.

Human-in-the-Loop Workflows

Design approval flows and escalation paths for high-stakes decisions. Maintain human oversight while automating the repetitive work.

Memory & Context Management

Build agents that remember past interactions and maintain context across sessions. Long-running agents that understand history and learn from experience.

Multi-Agent Orchestration

Coordinate multiple specialized agents to handle complex workflows. Build agent teams that collaborate, delegate, and validate each other's work.

Safety & Guardrails

Implement action constraints, sandboxed execution, and rollback capabilities. Production agents need production-grade safety measures.

Technologies We Use

Production-tested tools and frameworks

OpenAI
OpenAI
Anthropic
Claude
LangChain
LangChain
A
AutoGPT
C
CrewAI
L
LangGraph
T
Temporal
Z
Zapier

Why Choose Procedure for AI Agents

Outcomes from recent engagements

Week 1Working agent prototype in your real context
2-4 wksTypical path to production deployment
ImprovedAutonomy on repetitive, judgment-heavy work

Companies choose Procedure because:

Built with AI at our core: we have engineered AI and ML systems since our 2017 founding, so agents are not a bolt-on for us
High-agency engineers who own the messy edge cases, from tool failures to unexpected inputs, instead of shipping happy-path demos
Engineers obsessed with your users: we design agent behavior around the real workflows people run, not benchmark tasks
Every engineer is founder-vetted against a high bar; we reject far more than we accept
We assemble a pod matched to your workflow and integration needs, not staff-aug bodies on a bench

Ready to Discuss Your
AI Agents Project?

Tell us about the workflows you want to automate with AI agents. We'll discuss tool integrations, safety guardrails, and a realistic timeline to deployment.

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Frequently Asked Questions

Chatbots respond to queries. Agents take action. An AI agent can research information, update databases, send emails, schedule meetings, and execute multi-step workflows autonomously, not just suggest what you should do.

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