The McKinsey of AI Employment

Your AI Workforce.
AI Employees handle execution. So you can focus on Outcomes. You x 100.

Raw AI gives you a brilliant individual. FRAIM gives you an institution. Every FRAIM employee arrives with methodology, onboards to your context on Day 1, enforces your quality bar, and gets smarter after every job. Freeing you from execution, so you can focus on meaningful outcomes. An institution that gets 1% smarter every day makes it 38x more valuable by end of year.

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38x Value by Year-End
70% Fewer Review Cycles
Day 1 Context-Loaded
FRAIM AI Manager
$ npx fraim setup
✅ AI workforce rules installed
✅ Workflows configured
✅ Agents ready for orchestration
$ Agent: "Implementation complete. 47/47 tests pass, evidence provided."

FRAIM works across the full lifecycle for:

Builders & Founders Engineering Teams Enterprises Universities Accelerators IT Services Firms

The Productivity Paradox

Unmanaged AI creates chaos. Managed AI creates leverage.

95% of enterprise AI pilots fail to move the P&L
21% individual output gain, but flat organizational delivery
154% PR size bloat when AI ships without management
❌

Before FRAIM: Chaos

"Implementation complete. Solution looks good."
"I get an error on the first screen."
"What error do you see? Can you write it out for me?"
"C'mon, do this yourself. You've made no progress in 3 hours!"
🔥 "Looks good" syndrome
🔥 Quality lottery
🔥 Agent conflicts
🔥 No learning
✅

After FRAIM: Excellence

"Implementation complete. Code written, tests created, all tests passing."
Evidence provided:
✓ Test output: 47/47 tests pass
✓ API tested with curl
✓ UI screenshots attached
✓ Performance benchmarks met
✨ Evidence-based validation
✨ Structured workflows
✨ Phase-based coordination
✨ Continuous learning

What a McKinsey-Level FRAIM Employee Looks Like

When 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.

1

The Hiring Moment: They Arrive Ready

100+ 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.

2

The Onboarding Moment: They Learn Your Context

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.

3

The Execution Loop: Full Lifecycle of Every Task

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.

4

The Learning Loop: They Compound

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.

5

Full Explainability & Auditability: Nothing is a Black Box

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.

The Infrastructure Behind Every Employee

📋

100+ Jobs

Multi-phase workflows spanning every business function: from feature-implementation to customer-discovery to SOC2-audit

⚡

1,000+ Industry Skills

Deep domain expertise in AWS, Azure, Android, SOC2, contract review, brand strategy, and hundreds more, curated across every business function

📏

Always-On Rules

Your coding standards, deployment policies, quality gates, and retrospective loops, enforced on every task, automatically

🧠

The FRAIM Brain

A living map of everything your workforce knows: jobs, skills, and accumulated learnings, growing with every completed task

Explore the Brain →

Meet your AI workforce

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).

BeZa

Business Strategist

Turns ideas into structured business plans, validates founder-market fit, and pressure-tests strategy.

PaM

Product Manager

Owns specs, PRDs, technical design, issue prep, and the path from idea to shippable artifact.

SWEn

Software Engineer

Implements features, refactors code, and drives PR iteration to merge, reviewing design and code as a senior would.

QAsm

QA Engineer

Runs tests, assesses code and test quality, polishes UI, and drives bug bashes with evidence.

hUXley

UX / Brand Designer

Owns brand identity, prototypes user-facing surfaces, and designs the end-to-end experience.

GauTaM

GTM & Marketing

Defines marketing strategy, ships content, runs launches, and owns the brand voice in market.

CELiA

Legal Counsel

Drafts and reviews contracts, NDAs, patents, trademarks, and the SaaS legal stack.

SEChar

Security Engineer

Reviews changes for security risk, triages vulnerabilities, and drives remediation to closure.

AshLey

Executive Assistant

Owns executive coordination, weekly operating reviews, and portfolio reporting across the workforce.

SREya

Site Reliability / Cloud Ops

Manages deployments, monitors uptime, optimizes cloud cost, and keeps infrastructure resilient and observable.

MONa

Money, Revenue & Finance

Models revenue, tracks unit economics, builds financial forecasts, and owns the metrics that drive growth decisions.

RECardo

Recruiter

Sources candidates, writes job descriptions, screens pipelines, and manages the hiring loop end-to-end.

MANdy

Manager

Plans the job sequence, runs sub-agents in parallel, coaches them through verification loops, and hands back a synthesized DRAFT for your approval.

HaRi

HR

Manages onboarding, performance reviews, benefits analysis, payroll coordination, and HR business-partner advisory.

CAREEna

Career Coach

Coaches career growth, designs promotion paths, prepares performance-development plans, and builds the professional narrative that accelerates your trajectory.

Joining the team next

EVan

Evangelist / Content

Soon

CaSey

Customer Experience

Soon

RaiSa

Fundraising Lead

Soon
Or hire them all at once

MAESTRO

Your Founder Mode Employee

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.

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EngineeringLegalGTM FinanceComplianceCustomer Dev DesignSecurityOperations

The Org Chart Transformation

One human manager. Multiple teams of AI Employees. All self-checking, all learning, all shipping.

The organizational transformation: before FRAIM, chaos; after FRAIM, structured AI Manager hierarchy
1

Deploy (60 seconds)

Install FRAIM and onboard your AI workforce.

2

Delegate to Trained Employees

Assign jobs to your employees. No "prompt/context engineering" needed.

3

Coach Your Employees

AI Manager catches and fixes common errors and quality violations before they reach you, so you coach on outcomes, not process.

AI Employee reviews quality → AI Manager reviews process → You review outcomes → You Coach employees
4

The Institution Gets Smarter

Retrospectives after every job. Explainable learnings. Brain neuro-plasticity. Reverse coaching so you can be a better manager.

Click here to see your FRAIM Brain grow
FRAIM Brain preview showing jobs outside the brain and skills illuminated across internal regions

This Is Already Working

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.

SOC2 compliance evidence & gap analysis Customer persona research & outreach strategy Trademark filing strategy & NDA generation Feature specs, design RFCs, production PRs Azure cost optimization & deployment automation Blog posts, pitch documents, social campaigns
38x
More valuable by year-end
A system that makes your AI 1% smarter every day compounds to 38x more valuable in 12 months
70%
Fewer review cycles
AI Manager quality gates catch compilation errors, test failures, and quality violations before they reach you
O(10)
Tasks shipped per day
Not 1 to 2 features per week. Engineering, compliance, legal, marketing, all in parallel, every day
Day 1
Context-loaded employees
No onboarding week. No briefing calls. Project rules, retrospectives, and standards, all absorbed before work begins

The Objections We Hear Most

"We're already using Claude Code / Cursor and it works fine."

Claude Code is a brilliant new hire. FRAIM is the management system that turns that hire into a McKinsey calibre employee. Most teams using raw Claude Code are 2 to 3x less productive than they could be with the same model, properly managed.

"Can't we just build custom agents ourselves?"

Yes. The same way you could build your own ERP. What "building your own" actually requires: design and maintain 100+ 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.

"Our use case is too specific for industry standard employees."

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.

"What happens when the underlying models improve?"

FRAIM employees become more valuable, not less. A better model with good management compounds faster than a better model running wild. McKinsey didn't get worse when MBAs got smarter.

"Is this vendor lock-in?"

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.

"What's the implementation effort?"

A fraim init and a fraim sync. First meaningful FRAIM employee job: within the first hour.

Go Deeper

Whitepapers and podcasts on building an AI workforce

📄
Featured Whitepaper

The AI Manager Imperative

Why organizations should manage AI like talent, not tools. The Productivity Paradox, the $2.4T management gap, and a practitioner's framework.

Read →
🎧
Podcast

Managing AI Is the Skill of the Decade

Why unmanaged AI creates chaos, what the Productivity Paradox means for your team, and how evidence-based management turns agents into reliable team members.

Listen →
Browse All Resources →

Stop Babysitting. Start Managing.

Priced at 1/10th the cost of one engineer. Delivers the output of several.

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✓ First FRAIM-managed task within the hour
✓ Works with Claude, Codex, any MCP-compatible agent
✓ Your jobs, skills, and rules. Your institution.