One platform. Framed for your role.
The same supervised runtime, reframed for the seat you sit in. Pick your role and see how JuhJuh works for you.
Know what AI costs. Control what it ships.
JuhJuh gives you token-level cost attribution per ticket, five independent safety gates before production, and a complete audit trail your compliance team can actually use.
Token-Level Cost Attribution
Every AI execution logs input tokens, output tokens, model used, and USD cost. Costs roll up to tickets, projects, and teams automatically. You answer the board's ROI question with a dashboard, not a spreadsheet.
Cost tracked per ticket, per project, per teamFive-Layer Safety Model
Prompt Review, Branch Isolation, Diff Review, PR Approval, and Pipeline Gate form five independent checkpoints. Each gate requires explicit human action before code advances. No AI output touches production without passing all five.
5 independent safety gatesFull Audit Trail
Every action records who initiated it, what changed, what it cost, and who approved it. Your compliance team gets timestamped evidence for every AI-generated change. Exportable logs map to SOC 2 control requirements.
Every action logged with who, what, when, cost4-Level Access Control
Owner, Admin, Member, and Viewer roles scope to both organizations and projects. You decide who configures AI agents, who executes, and who approves PRs. Permission boundaries enforce separation of duties.
4 RBAC levels across orgs and projectsOrg-Wide AI Governance
Agent instructions cascade from organization to project to team to developer. Set security rules at the org level and they apply to every execution across every project. No team can bypass what you define at the top.
4-level instruction cascade (org > project > team > dev)Executive Analytics
Cycle time breakdowns, execution success rates, and cost-per-ticket trends on a single dashboard. You see which projects benefit most from AI investment and which need process changes. Data for quarterly business reviews, not just engineering stand-ups.
Cost, velocity, and success rate per projectAgent Governance
11 specialist AI agents operate under your organization's rules. Every agent action logged. Trigger rules and skills managed from a central dashboard. Anti-hallucination safeguards built into every agent prompt.
11 specialist agents with full audit trailDeployment and Vault Controls
One-click deployments with semantic versioning and full rollback history. Encrypted vault with snapshot diffing for secrets governance. Auto-discovery of environment variables across your infrastructure.
Encrypted vault with versioned snapshotsBrand Voice Governance
Define your organization's writing style across 6 core traits and 15 tone contexts. Every content-producing execution follows your voice guidelines. Consistency across teams without style guides nobody reads.
6 voice traits and 15 tone contexts enforced org-wideYou pull credit card statements, estimate per-developer usage from subscription plans, and build a spreadsheet that is outdated by the time you present it. No one trusts the numbers.
You open JuhJuh's analytics dashboard. Token costs are attributed to every ticket and project automatically. You export a report showing cost-per-PR by team. The CFO gets exact numbers in five minutes.
You explain that developers use AI tools in their IDEs and code goes through normal PR review. Auditors ask how you know which code was AI-generated. You cannot prove it.
You show the audit trail: every AI execution, the prompts used, the diffs generated, who reviewed them, who approved the PR, and whether CI passed. Five gates, all logged. Auditors close the finding.
AI development your board approves.
Full cost visibility. Five safety layers. One audit trail.
Go deeper into the platform.
AI development your board approves.
Full cost visibility. Five safety layers. One audit trail.
