Rapider

Implement AI offers a tool that helps businesses deploy a scalable digital workforce of coordinated AI agents across sales, support, operations, and success functions, turning isolated AI tools into an AI Operating System (AIOS) that works with real business data and systems like CRM, email, voice, and messaging to execute tasks autonomously and collaboratively. Its AI agents are multi-skilled and role-specific, designed to find missed revenue opportunities, launch outbound campaigns, follow up inbound leads, deliver 24/7 customer support, triage tickets, analyze conversations for revenue signals, flag compliance risks, build dynamic knowledge bases, and transform call and email data into actionable insights. Unlike standalone chatbots, the AIOS provides shared memory and an agentic task engine that lets agents access live customer context, coordinate workflows, trigger tasks using business rules, and scale across departments.

Jarmin builds AI employees for human-level roles that become part of a team’s day-to-day workflow. Each AI employee is assigned a role and responsibilities, learns how the company operates, understands internal processes and performance standards, and works inside the tools and systems the role actually uses. It can own work independently within an agreed scope, produce reviewable output, send status updates, take feedback from anyone on the team, and escalate decisions that require human judgment. Organizations can deploy AI employees for roles such as ML engineer, financial analyst, account executive, compliance analyst, data analyst, project manager, and paralegal, or configure a custom role. Jarmin also supports managed AI and ML engineering, including models trained or fine-tuned on company data, domain-specific reinforcement learning environments, evaluations against benchmarks, production-ready agents, automated multi-step workflows, and agentic search over internal data.