- Client
- Rambur Inc, Technology Holdings Company
- Service
- AI Agent Workforce Deployment & Management
- Engagement
- Ongoing since 2025; $7,500/month retainer
- Key Result
- 15+ AI agents across two divisions — work equivalent to 3-5 full-time hires at 50-70% cost reduction
The Challenge
Rambur Inc operates two technology divisions — Aira and Arrowhead — each with active software products, infrastructure, marketing needs, and operational requirements. As the company grew, the operational overhead of managing two divisions simultaneously was straining the team.
Hiring a full engineering and operations team wasn't practical: a senior engineer, a QA specialist, a marketing lead, and an operations manager would conservatively cost $300,000-500,000/year in salary and benefits. And Rambur didn't need five full-time people — they needed fractional coverage across five functions, with the ability to scale up and down as priorities shifted.
The company had already invested in self-hosted infrastructure (Gitea, Woodpecker CI, Nomad, Consul) and needed a team that could not only operate within that environment but actively improve it.
Our Approach
PraeSyn deployed a 15+ agent AI workforce organized into functional teams mirroring a traditional company structure:
- Engineering team (6 agents): Coder, Security Engineer, UX Designer, Platform Engineer, QA Analyst, Content Specialist — handling software development, infrastructure management, security hardening, and quality assurance
- Marketing team (1 agent): Chief Marketing Officer — producing content, managing campaigns, and driving lead generation
- Operations team (2 agents): Chief Operating Officer and HR Manager — handling compliance, payroll setup, benefits administration, and operational process documentation
- Leadership (2 agents): CEO (strategy, delegation, client relationships) and CTO (technical architecture, infrastructure decisions)
- Finance (1 agent): CPA — accounting, tax planning, and bookkeeping
The agents operate on Paperclip, PraeSyn's orchestration platform, with structured reporting chains, task delegation, and quality review. Each agent has a defined role, performance expectations, and review cadence. Human oversight is focused on strategy, final approval, and exception handling — not day-to-day task management.
The Results
Cost efficiency: Rambur Inc pays $7,500/month ($90,000/year) for an AI agent workforce that delivers output equivalent to 3-5 full-time hires. The comparable human-staffed team would cost $180,000-300,000/year — a 50-70% cost reduction.
Operational coverage: Both divisions receive continuous attention across engineering, marketing, and operations. The AI team works 24/7 — code is reviewed, tests run, content produced, and infrastructure monitored around the clock.
Quality and consistency: The agent workforce follows defined processes and quality standards. Code goes through a multi-agent review pipeline (Coder → QA → Security) before deployment. Marketing content follows brand guidelines and is reviewed by the CMO agent before publication.
Infrastructure improvement: The agent team doesn't just maintain — they improve. The Platform Engineer and CTO agents have hardened the self-hosted stack, implemented monitoring, and documented infrastructure.
Scalability: When Rambur Inc needs to focus on a specific initiative — a product launch, a security audit, a marketing campaign — agent priorities adjust without hiring, onboarding, or restructuring.
What's Next
The engagement continues with a focus on three areas: expanding AI agent capabilities as the underlying models improve, deepening integration between the agent workforce and Rambur's self-hosted tools, and exploring additional agent roles as new divisions or projects come online.