Raw AI gives you a brilliant individual. FRAIM gives you a workforce. Each FRAIM employee takes on a full job, from brief to deliverable end to end, writes their own retrospective, and hands you evidence-backed work ready to approve. You coach, approve, and sign off. They deliver. An institution that gets 1% smarter every day makes it 38x more valuable by year-end. All without accessing or storing your prompts or data.
Unmanaged AI creates chaos. Managed AI creates leverage.
Hire employees, not tools. Each FRAIM specialist runs the workflows of a real teammate and brings work back to you with evidence. You direct, they execute, you sign off.
You can hire any specialist for a single job (draft a spec, run a security review, prepare a contract for your counsel), or bring them on full-time with personalization, memory, and your voice baked in. You stay the manager. Every specialist runs on your own AI agent (Claude Code, Codex, VS Code, Cursor).
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The one hire who can do everything. MAESTRO combines the full workforce, the AI Manager, and the FRAIM Brain into a single context-loaded operator configured for your company. It thinks across functions, delegates to specialists, and brings decisions back to you. Can't afford a co-founder? Hire MAESTRO.
Get Early AccessWhen you hire a FRAIM employee, you don't get a raw model pointed at a blank prompt. You get a trained professional who knows your domain, enforces your quality bar, and gets smarter after every task.
245+ pre-built job templates spanning engineering, compliance, legal, customer development, GTM, finance, and cloud ops. Curated skills in AWS, SOC2, contract review, brand strategy. A constitution of core values baked into every interaction. No onboarding week. They're ready Day 1.
Before any work begins, the employee reads your project rules, past retrospectives (what failed and why), brand guidelines, and communication style. No briefing meeting. No knowledge transfer calls. Context absorbed, standards internalized.
Spec → Design RFC → Production Implementation → Self-Grade (PASS/FAIL) → AI Manager Review Gate → Retrospective. The Human Manager sees only PASS-graded work. 70% reduction in review cycles.
After every task closes, the employee writes a retrospective: what worked, what failed, what rule should change. These feed the next session automatically. Employees from 6 months ago show different (worse) patterns than employees from last week. That's not the model improving. That's the management system compounding.
Every task produces a structured evidence package: design decisions, test results, quality check outputs, and a retrospective. Managers see exactly what was done and why. Executives get portfolio-level optics on AI proficiency across the workforce. Regulators and auditors can inspect the evidence trail for any deliverable. Compliance is built into every output, not an afterthought.
FRAIM does not store your user data. Your code, context, and API credentials stay with your AI provider (Claude, Codex, or any MCP-compatible agent). FRAIM is a management layer that shapes how AI employees work, not a data pipeline. Nothing you feed your AI agent passes through FRAIM servers.
Multi-phase workflows spanning every business function: from feature-implementation to customer-discovery to SOC2-audit
Deep domain expertise in AWS, Azure, Android, SOC2, contract review, brand strategy, and hundreds more, curated across every business function
Your coding standards, deployment policies, quality gates, and retrospective loops, enforced on every task, automatically
A living map of everything your workforce knows: jobs, skills, and accumulated learnings, growing with every completed task
Explore the Brain →One human manager. Multiple teams of AI Employees. All self-checking, all learning, all shipping.
Install FRAIM and onboard your AI workforce.
Assign jobs to your employees. No "prompt/context engineering" needed.
AI Manager catches and fixes common errors and quality violations before they reach you, so you coach on outcomes, not process.
FRAIM employees are being hired across F500 companies and Startups alike. Every artifact below was produced by a FRAIM employee, reviewed by an AI Manager, and delivered for human approval.
Claude Code is a brilliant new hire. FRAIM is the management system that turns that hire into a world-class employee. Most teams using raw Claude Code are 2 to 3x less productive than they could be with the same model, properly managed.
Yes. The same way you could build your own ERP. What "building your own" actually requires: design and maintain 245+ job templates, build a living rules system with conflict resolution, build the management layer with quality gates, maintain it as models change and your org learns. The real moat is the learning system, not the prompts. FRAIM's accumulated methodology comes Day 1, and you cannot prompt-engineer your way to an institution.
FRAIM's personalized layer exists exactly for this. Every company can shape their personalized-employee/ with org-specific rules, custom jobs, and learned skills. FRAIM employees are built to learn.
FRAIM employees become more valuable, not less. A better model with good management compounds faster than a better model running wild. A well-managed institution only gets stronger when the talent improves.
FRAIM works with Claude (via Claude Code CLI), Codex, and any MCP-compatible agent. The jobs, skills, and rules are Markdown files you own. Switch models tomorrow, and the management system travels with you.
A fraim init and a fraim sync. First meaningful FRAIM employee job: within the first hour.
No. FRAIM does not store your user data. Your code, context, and API credentials stay with your AI provider (Claude, Codex, or any MCP-compatible agent). FRAIM is a management layer: it shapes how AI employees work, not a data pipeline. Nothing you feed your AI agent passes through FRAIM servers.
Priced at 1/10th the cost of one engineer. Delivers the output of several.