The Real Cost of AI Agent Systems in 2026
What does it actually cost to build and run a custom AI agent system? Three tiers, transparent pricing, and the hidden costs nobody talks about.
Everyone wants AI agents. Almost nobody publishes what they cost. Here is what it actually takes.
The Three Tiers
We offer three tiers, all one-time setup fees. Ongoing maintenance is negotiated separately.
Starter: $7,500
What you get: an agent framework connected to your email, calendar, and one domain. Cloud-hosted with standard privacy. This is for testing the concept, seeing if agent systems fit your workflow before committing to a larger build.
Timeline: about 2 weeks.
Best for: founders who are curious but not ready to go deep. Companies evaluating AI agent adoption.
Professional: $25,000
What you get: 5 custom expert agents built around your specific workflows. Privacy architecture that keeps your sensitive data on infrastructure you control. Constitutional governance with audit trails. Persistent memory across conversations. Daily briefings and proactive scheduling. A personalization layer trained on your context.
Timeline: 4-6 weeks.
Most clients start here. The privacy architecture is the key differentiator. Standard agent frameworks route everything through cloud APIs. Professional tier keeps your financial data, coaching conversations, and strategic plans local.
Enterprise: $50,000+
What you get: 25+ custom expert agents across all domains. Deep customization with localized defaults. Full GTM pipeline from research to outreach. Creative production engine. Operations suite. Legal and compliance automation. Founder-direct build, meaning you work directly with the person who built our own system.
Timeline: 6-8 weeks.
Best for: teams, organizations, or individuals who want the full system we run ourselves, tailored to their operations.
The Hidden Costs Nobody Mentions
LLM API costs. Your agents use language models. Cloud model usage runs roughly $50-200/month depending on volume. Local models (included in Professional and Enterprise tiers) have zero API cost but require hardware or a dedicated cloud instance.
Infrastructure. Starter runs on standard cloud hosting, minimal cost. Professional and Enterprise tiers that include local execution need somewhere to run: your own hardware, a dedicated VPS ($50-150/month), or a modern Mac with enough memory.
Maintenance. The system runs continuously. Expert tuning, capability upgrades, monitoring, and new feature development are available as an ongoing retainer. Pricing varies by scope, but expect $1,000-3,000/month for active maintenance on Professional or Enterprise systems.
What You Are Comparing Against
Context matters. Here is what the alternatives cost:
| Alternative | Annual Cost | What You Get |
|---|---|---|
| Human EA (Athena) | $36,000-$80,000 | One person, 40 hours/week, generalist skills |
| Human Chief of Staff | $120,000-$200,000 | One senior hire, full-time, broad but not deep |
| Custom dev team build | $150,000-$500,000 | 6-12 months, no domain expertise, no governance framework |
| Off-the-shelf AI tools | $1,200-$6,000 | Generic, no custom agents, no privacy, no memory |
Our pricing sits in the gap between off-the-shelf AI tools (cheap but generic) and custom development (expensive and slow). You get custom agents, privacy architecture, and governance in weeks, not months.
Why We Publish Our Pricing
Most AI consulting firms hide their pricing behind a "contact us" form. We publish ours because we respect your time. If these numbers do not fit your budget, you should know that before spending 30 minutes on a discovery call.
If they do fit, every engagement starts with a free discovery call. We learn how you work, then scope the build.
Want your own AI Chief of Staff?
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