Your Team Uses Multiple AI Tools.
Their Productivity Hasn't Changed.
89% of executives report no productivity gains from AI adoption. The problem isn't AI itself — it's that tools don't coordinate, don't remember context, and don't own outcomes. Operum replaces your AI tool stack with a coordinated AI team that actually ships.
Free 14-day trial. Runs on your infrastructure.
The AI Productivity Crisis — In Numbers
These aren't opinions. This is what the research says.
of executives report no productivity gains from AI adoption
NBER — 6,000 executives surveyedof time "saved" by AI is eaten by reviewing and correcting its output
Workday 2026 ResearchAI tools per employee — the point where productivity plummets instead of rising
Shibumi Enterprise Studyof employees use AI tools without informing IT — creating shadow AI risk
Cisco Security 2025 ReportWhy AI Isn't Working for Your Team
Your team adopted ChatGPT, Copilot, Cursor, and several other tools. They're faster at individual tasks. But the coordination overhead hasn't changed. Your team still manages every handoff, every review, every decision.
BCG calls it "AI Brain Fry" — 14% more mental effort, 12% more fatigue. AI didn't reduce the work. It intensified it. Your team now does the same jobs plus reviewing AI output.
Every AI session starts from zero. No memory of yesterday's decisions, last week's architecture, or the bug that was fixed a month ago. Your team re-explains context to AI tools the same way they'd re-explain it to a contractor who shows up with amnesia every morning.
Meanwhile, employees paste proprietary code into public AI models, sign up for tools IT has never vetted, and your IP walks out the door one prompt at a time. 41% of employees admit to using AI tools without telling IT.
The problem isn't AI. The problem is that you bought tools when you needed a team.
From AI Augmentation to AI Delegation
The tools augment. Operum delegates.
AI Augmentation Current state
- AI assists — humans still own every task
- Every session starts from scratch
- You manage the pipeline, AI writes some code
- 37-40% of "saved" time lost to reviewing AI output
- Scattered tools — multiple apps, multiple logins, multiple bills
- No quality control — humans catch everything
AI Delegation Operum
- Agents own workstreams — humans lead and review
- Persistent knowledge base — nothing is forgotten
- Full pipeline automated: architecture → code → QA → review
- Agents review each other before humans see output
- One platform, six roles, zero toggling
- Built-in quality control at every stage
A Real Pipeline, Not Another Chatbot
Work flows through six specialized agents — just like a real engineering team.
Create an issue or describe what you need
"Add SSO integration" or "Fix the dashboard performance issue"
Breaks it down, prioritizes, routes to Architect
Creates the issue with labels and context. Orchestrates the team.
Reviews scope, adds technical guidance
Identifies edge cases, file targets, approach. Ensures solid foundations.
Implements on a feature branch, creates PR
Real code. Real commits. Real pull requests on GitHub.
Validates quality before you even see it
Functional tests, edge cases, regression checks. Catches bugs so you don't have to.
Choose your level of involvement
Review every PR manually, or turn on auto-merge and let the team handle it end-to-end. Every PR is tracked and auditable — come back to any one at any time. No micro-management required.
Your AI team's pipeline in action
Enterprise-Grade by Design
Desktop-First Architecture
Runs on your machine, not in the cloud. No proprietary data sent to third-party services. Credentials stored in your OS keychain.
Full Audit Trail
Every agent action is logged. Every PR is tracked in GitHub. Every decision is documented in the knowledge base. Compliance-ready from day one.
No Shadow AI
One sanctioned platform for AI-powered development. No employees pasting code into public models. No unauthorized tools. IT stays in control.
Works With Your Stack
No rip-and-replace. Operum plugs into what you already use.
GitHub & GitLab
Native integration out of the box. Issues, PRs, reviews — everything flows through your existing repositories.
Your Own System
Using Jira, Linear, or a custom issue tracker? We build custom integrations for organizations. Your workflow, your rules.
Days, Not Months
Custom integrations delivered in days. No six-month onboarding. No consultants. You're up and running before the next sprint.
ROI You Can Actually Measure
Not "hours saved." Not survey responses. Real output tracked in GitHub.
Every action auditable. Every outcome reportable. Show the board what AI actually delivered.
Stop Buying AI Tools.
Start Deploying an AI Team.
Request a free demo and we'll walk you through how Operum fits your organization.