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Standard vs. Enterprise: Choosing the Right AI Agent Plan

OperativeOps Team·April 14, 2026·5 min read

Two Plans, Two Different Stages of Growth

When we built OperativeOps, we designed two distinct paths because businesses adopting AI agents aren't a monolith. A 15-person startup testing AI for the first time has fundamentally different needs than a 500-person company rolling out AI-assisted workflows across six departments. Forcing both into the same box doesn't work.

Here's an honest breakdown of our Standard and Enterprise plans — what each includes, who each is built for, and how to decide which one fits your situation.

OperativeOps Standard: $99/month

The Standard plan is designed for small-to-mid-sized teams that want immediate access to AI agents without a lengthy procurement process or custom implementation. You sign up, you're in, and your AI team is ready to work.

What's Included

  • Full AI agent team: Access to all five OperativeOps agents — Maya (CEO/strategy), Alex (CTO/engineering), Jordan (HR/people ops), Sam (marketing), and Riley (analytics). Each agent brings domain-specific expertise to your team chat.
  • Groq-powered inference: Our Standard plan runs on Groq's LPU infrastructure, which means fast response times and reliable performance for day-to-day interactions. Groq's architecture is optimized for speed, so your agents respond in seconds, not minutes.
  • Team group chat: The core OperativeOps interface — a collaborative chat where you and your team interact with AI agents alongside each other. Ask Riley to pull analytics, have Sam draft campaign copy, and get Maya's strategic input all in one thread.
  • Standard integrations: Connect to popular tools in your existing stack for basic data flow.

Who It's For

Standard works best for teams of 1–30 who want to augment their capabilities without adding headcount. If you're a founder wearing multiple hats, a lean operations team trying to do more with less, or a department lead who needs analytical support without budget for a new hire — this is your starting point.

OperativeOps Enterprise: Custom Pricing

Enterprise is for organizations where AI agents aren't an experiment — they're becoming part of the operational backbone. This plan is built around customization, security requirements, and scale.

What's Included

  • Custom LLM selection: Choose the underlying language model that powers your agents. Whether your team prefers GPT-4-class models, Claude, Gemini, or an open-source model hosted on your own infrastructure, Enterprise gives you that flexibility. This matters for companies with specific performance requirements, compliance constraints, or existing vendor relationships.
  • Voice interaction: Enterprise unlocks voice-based communication with your AI agents. Instead of typing every request, your team can speak naturally — useful for executives who want briefings during commutes, field teams without keyboard access, or accessibility needs.
  • Custom AI agents: Beyond our standard five agents, Enterprise customers can define custom agents tailored to their specific workflows. Need an agent trained on your proprietary sales methodology? An agent that understands your specific compliance framework? Enterprise makes that possible.
  • Advanced integrations: Deep, bidirectional connections to your CRM, ERP, data warehouse, and internal tools — with dedicated engineering support for custom integration work.
  • Dedicated support and SLAs: Priority support channels, guaranteed response times, and a dedicated account manager who understands your setup.
  • Security and compliance: SSO, role-based access controls, audit logs, data residency options, and SOC 2 compliance documentation.

Who It's For

Enterprise is the right move when AI agents are touching sensitive data, when you need agents to behave according to company-specific guidelines, or when you're deploying across multiple departments with different requirements. Typically, this is companies with 30+ employees or those in regulated industries.

How to Decide: A Practical Framework

Forget feature checklists for a moment. Ask yourself these four questions:

  • Do you need custom AI agents beyond the core five? If the standard Maya/Alex/Jordan/Sam/Riley team covers your use cases, Standard is sufficient. If you need agents trained on proprietary knowledge, go Enterprise.
  • Does your company have specific LLM or data residency requirements? If your security or legal team mandates specific model providers or data handling, Enterprise is non-negotiable.
  • Are you deploying for one team or across the organization? Single-team usage fits Standard. Cross-department rollouts with different permission levels need Enterprise.
  • Is $99/month a rounding error or a real budget line? Be honest. Standard is intentionally priced to be low-risk. If you're unsure whether AI agents will work for you, start there and upgrade when the value is proven.

Our Recommendation

Start with Standard. Seriously. Even if you think you'll eventually need Enterprise, beginning with the Standard plan lets your team build the habit of working with AI agents before you invest in customization. Most of our Enterprise customers started on Standard, proved the value internally, and upgraded once they had specific requirements that justified the step up.

There's no lock-in, no penalty for switching, and your conversation history carries over. The best plan is the one that gets you started.