AI
AI Agents & Automation
Systems that think. Agents that act.
Multi-agent AI systems and automation pipelines that handle the work your team shouldn't be doing, built on Claude, n8n, and production-grade infrastructure.
30+
Hours/week of manual operations replaced by our agent systems
What it is
Most businesses have hired their way out of every operational problem. We build the opposite: AI agents that handle communication, lead intake, internal coordination, and routine decisions, so your team focuses on the work humans actually do best. Real production systems, not demos. Currently running our own agency with one full-time human and a 6-agent stack.
What's Included
Everything You Get
Multi-Agent Architectures
Orchestrated agents on Claude, Groq, or local LLMs, each with a defined role, scope, and handoff protocol.
WhatsApp & Telegram Bots
Production-grade messaging integrations via Cloud API + n8n: zero missed leads, instant acknowledgement.
Internal Operations Agents
Triage agents, scheduling agents, content agents, replacing the work that drains your team.
Tool-Use & Function Calling
Agents that read your CRM, query your DB, and write back to your systems, not just chat.
Self-Hosted on VPS
Your data stays yours. Hetzner / Cloudflare / your infrastructure of choice, no vendor lock-in.
Observability Built In
Every agent action logged, traceable, and reviewable; debug production behaviour, don't guess.
How We Work
Our Process
Operational Audit
We map every repetitive workflow in your business. Most teams have 30+ hours/week ripe for automation.
Agent Design
Architecture spec: which agents, which tools, which handoffs, which guardrails.
Build & Deploy
Production deployment with logs, fallbacks, and human-in-loop checkpoints where needed.
Iterate & Scale
Monthly review of agent performance: refine prompts, expand scope, add new agents.
6
Agents running our own agency end-to-end
30+
Hours/week of manual ops replaced
<60s
From inbound message to logged + acknowledged lead
Questions
Common Questions
Is this just a chatbot?
No. Chatbots answer questions. Agents take actions: read your CRM, schedule meetings, route messages, update records, escalate when stuck. We build the second category.
What models do you use?
Claude (Anthropic) for reasoning-heavy work, Groq for low-latency tasks, local Llama / Qwen models when data sensitivity requires self-hosting. We pick per use case, not per fashion.
How do you prevent agents from going off the rails?
Scoped tool access, structured outputs, explicit guardrails, human-in-loop for high-stakes actions, and full observability so you see every decision. Production agents need engineering, not vibes.
Ready to get started with AI Agents & Automation?
30-minute free consultation. No commitment. We map out exactly what you need.
