[RU] How Does AI Employee Deployment Work?
[RU] 74% of companies struggle to achieve and scale value from AI (BCG, 2024). Not because the technology is bad, but because nobody manages it after launch. As Gartner Distinguished VP Analyst Rita Sallam put it: "Executives are impatient to see returns on GenAI investments, yet organisations are struggling to prove and realise value. There is no one size fits all with GenAI, and costs aren't as predictable as other technologies" (Gartner, 2024). We handle everything: build, deploy, monitor, tune, and improve. That is why ours work.
[RU] What Happens During the AI Workforce Audit?
[RU] The audit is a structured, 1-2 week analysis of your operations that identifies exactly where AI employees will deliver the highest ROI.
- ✓[RU] Workflow mapping across all departments
- ✓[RU] Identification of 3-5 high-impact AI employee roles
- ✓[RU] ROI projections for each role (time saved, cost comparison, capacity added)
- ✓[RU] Integration requirements for your existing tools (CRM, helpdesk, accounting, etc.)
- ✓[RU] Prioritized deployment roadmap with timelines
- ✓[RU] Full deployment plan document
[RU] How Are AI Employees Built and Deployed?
[RU] Each AI employee is custom-built with production-grade architecture and deployed into the tools your team already uses within 2-4 weeks.
- ✓[RU] Custom-built AI employee for each approved role
- ✓[RU] Integration with your existing tools and workflows
- ✓[RU] Safety and escalation logic (the AI employee knows when to hand off to a human)
- ✓[RU] Team training and onboarding documentation
- ✓[RU] Staged rollout with monitoring during the first 2 weeks
[RU] What Does Managed Operations Include?
[RU] The monthly fee is not a software license. It covers active management of your AI employees, including monitoring, tuning, updates, and edge case resolution.
- ✓[RU] Performance monitoring and reporting
- ✓[RU] Prompt and behavior tuning based on real usage data
- ✓[RU] Knowledge base updates (new products, policies, procedures, pricing)
- ✓[RU] Integration maintenance (API changes, tool updates, new connections)
- ✓[RU] Edge case resolution (when the AI employee encounters something new)
- ✓[RU] Model migration (upgrading to better AI models as they release)
- ✓[RU] Monthly performance report with metrics and recommendations
[RU] How Do I Scale My AI Workforce?
[RU] Each additional AI employee deploys faster and costs less than the first because we already know your systems, tools, and business logic.
- ✓[RU] Identify the next highest-impact role from your original audit
- ✓[RU] Build and deploy in 1-2 weeks (faster because we know your systems)
- ✓[RU] Volume pricing: 3 AI employees for $4,500/mo total. 5+ for $7,500+/mo.
- ✓[RU] Cross-department deployments: sales, support, ops, finance, marketing, HR
[RU] How Much Do AI Employees Cost?
[RU] AI employee pricing is transparent and month-to-month. No annual lock-in, no per-query charges, no hidden fees.
$5,000
$2,000/mo
[RU] Full custom build, integration with your tools, managed monthly operations.
$12,000
$4,500/mo
[RU] Multi-role deployment with shared context and cross-department coordination.
$20,000+
$7,500+/mo
[RU] Enterprise-scale AI workforce. Custom scoping based on complexity and integration depth.
[RU] AI Workforce Audit: $3,500. [RU] Credits in full toward your first build.
[RU] The monthly fee covers everything: monitoring, tuning, updates, maintenance, edge cases, model upgrades, and reporting. No hidden fees. No per-query charges.
[RU] 74% of AI Deployments Struggle to Deliver Value. Ours Don't.
[RU] The difference is managed operations. We don't hand you a tool and walk away. We build your AI employees, deploy them into your workflows, and manage them every month. That is why they work.
[RU] Book Your Audit. $3,500