Enterprises adopting AI tools face common challenges: unclear which use case to start with, concerns about ROI, lack of a clear path from pilot to scale, and strict data security and system integration requirements not met by available solutions.
COCO four-tier plan structure naturally supports progressive deployment. Start with Air at $99/mo for low-cost pilot validation, scale to Ultra with a 3-agent team, then move to Enterprise for private deployment and unlimited scaling. Each stage has clear upgrade triggers and ROI evaluation criteria.
A state-owned bank started with a single AI employee pilot and reduced loan due diligence from 3 days to 2 hours. A major internet company handed competitor tracking and data aggregation entirely to their AI team, nearly doubling their release cadence.
flowchart LR
P1["Phase 1: Pilot
Air Plan ($99/mo)
1 AI Employee
2-4 Weeks"] -->|"Validate ROI
Measurable Savings"| P2["Phase 2: Expand
Ultra Plan ($1,199/mo)
3 Pro AI Employees
Agent Team Formed"]
P2 -->|"Multi-Line Coverage
Proven Synergy"| P3["Phase 3: Scale
Enterprise Plan (Custom)
Unlimited Instances
Private Deployment"]
P1 -.->|"Fail Fast
Low Cost"| R1["Pivot Use Case"]
P2 -.->|"Partial Success"| R2["Optimize & Retry"]
style P1 fill:#fff8e1,stroke:#ffb800
style P2 fill:#fef3c7,stroke:#f59e0b
style P3 fill:#0f172a,stroke:#ffb800,color:#fff
style R1 fill:#fef2f2,stroke:#ef4444
style R2 fill:#fef2f2,stroke:#ef4444
COCO progressive deployment methodology: low-risk Air pilot validates value, Ultra scales to Agent Teams, Enterprise delivers private deployment at scale. Failed pilots pivot with minimal cost.
The number one reason AI deployments fail is betting too much on the wrong use case too early. COCO plan structure naturally supports a progressive strategy. Air at $99/mo lets enterprises validate AI employee value on a specific use case at extremely low cost. COCO provides 101 industry cases and 101 role cases as scenario references.
Choose one use case that is highly repetitive, has clear rules, and produces quantifiable results. Recommended starting scenarios: competitor tracking (one major internet company went from 2 people x 2 days per week to AI auto-run with reports every morning), data aggregation and analysis (MCN agency completes data collection in under 1 hour), customer support (AI employee 24/7 Q&A).
After successful pilot, upgrade to Ultra at $1,199/mo to get 3 Pro-level AI employees. This transitions from solo agent to Agent Team. Example: AI Employee A handles data collection, B handles analysis, C handles report generation. Leverage Zylos runtime shared context and autonomous orchestration for automatic collaboration.
When the AI employee team covers multiple business lines with higher requirements for data security and system integration, upgrade to Enterprise. Key upgrades: unlimited AI employee instances, private deployment option, SLA guarantees with 1-hour response support, SSO/SAML single sign-on. Contact the COCO sales team for a customized proposal.
COCO own team is the best proof of the Agent Teams philosophy. A 6-person elite team runs 30+ AI agents daily through HxA Connect, handling code review, deployment, competitive analysis, and customer support. Every product in the ecosystem is built and delivered by agent teams. The result: 10x release efficiency.
Start with Air at $99/mo. Scale to Enterprise with private deployment and unlimited instances.
COCO AI is an AI digital employee platform incubated by industry-leading investors. Our 6-person core team runs 30+ AI agents daily to build and deliver every product in our ecosystem. We practice what we preach: all COCO products are built and delivered by our own agent teams, achieving 10x release efficiency compared to traditional development approaches.
COCO maintains 10+ core open-source projects on GitHub with 2,200+ stars. Our flagship project, Zylos, is an autonomous AI agent runtime with a five-layer memory architecture. All projects are publicly available at github.com/coco-xyz.
User-uploaded documents are used exclusively for that user's AI employees and are never used to train public AI models. Enterprise plan customers can opt for private deployment, ensuring all data stays within their own network environment. Contact COCO support through the website for details.
All plans (Air, Pro, Ultra) support cancellation at any time with no long-term commitment and no early termination fees. Upon cancellation, your AI employee instances remain active until the end of the current billing period. Enterprise contracts are negotiated on a case-by-case basis with custom terms.
Air at $99/mo gets you started with a full-featured AI employee including omnichannel deployment, scheduled tasks, and persistent memory.
Based on COCO customer cases, significant results typically appear within 2-4 weeks. One internet team saw results the next morning.
Contact the COCO sales team for evaluation. Timelines depend on your IT environment and integration requirements.
All customer case studies and quotations referenced in this guide are sourced from the official COCO website (icoco.ai). Testimonials were collected and published with customer consent. Specific metrics cited: State-owned bank: loan due diligence reduction from 3 days to 2 hours (as stated by the branch vice president on icoco.ai). MCN agency: network-wide data collection and analysis in under 1 hour (as stated by the marketing director). Internet company: nearly doubled release cadence after automating competitor tracking and data aggregation (as stated by the team lead). Individual investor: daily automated stock screening and analysis (self-reported). K12 institution: 24/7 AI teaching assistant deployment (as stated by the academic director). Recruitment: doubled hiring efficiency (as stated by the recruitment lead).
All pricing information, feature descriptions, and customer case studies referenced in this guide are sourced directly from the official COCO website (icoco.ai) and COCO documentation (docs.icoco.ai). Case studies reflect real customer testimonials published on icoco.ai as of May 2026.
This guide reflects COCO platform capabilities as of May 2026. Features, pricing, and channel support are subject to change. Always refer to icoco.ai for the most current information. Performance metrics cited in customer testimonials represent specific use cases and may not reflect results in all scenarios.
This guide was compiled by the COCO AI product and content team based on direct platform usage, customer interviews, and official documentation. Pricing and feature tables were verified against icoco.ai as of the publish date. Where customer metrics are cited (e.g., time savings, efficiency gains), the specific customer and context are identified.