AI-powered operational analysis that maps your processes, finds hidden waste, and builds an ROI-backed investment plan. 20 minutes. Not 4 weeks.
Open source · Free to run · MIT licensed
From a 2-person art gallery in Paris. 17 files generated in 18 minutes.
ROI Analysis· Gallery Client · Run #001
| Change | Annual ROI | Saved/wk |
|---|---|---|
| Eliminate manual Excel entry | 1,189% | 109 min |
| Switch Mailchimp to Brevo | 100% | 15 min |
| Automate inventory sync | 340% | 45 min |
Math: 109 min/wk x $25/hr = $2,362/yr saved. Implementation: $199 (8 hrs setup + training). ROI = $2,362 / $199 = 1,189%.
Three phases. Fully automated. ~20 minutes.
HyperOp starts by mining everything about your business: team structure, tools in use, budgets, recurring processes, and pain points. It builds a complete operational profile from your intake answers and web research.
Or hire a consultant. Here’s how they compare.
| ChatGPT | Consultant | HyperOp | |
|---|---|---|---|
| Time | 30 min (shallow) | 2–4 weeks | ~20 minutes |
| Cost | Free / $20/mo | $3,000–$15,000 | Free (open source) |
| Depth | Generic advice | Deep but slow | 15 quantified steps |
| ROI proof | None | Sometimes | Per-change payback calc |
| Tool recs | Top-of-mind | Biased by partnerships | Web-researched, priced |
| Quality gates | None | Peer review | Automated consistency check |
| Follow-up | Start over | Paid retainer | Re-run anytime, free |
A complete operational investment brief, not a slide deck.
ROI analysis
Net return per change with payback timeline
Process map
Before/after workflows with time savings
Action plan
90-day roadmap with milestones and owners
Role guides
Per-person adoption playbook
Integration checklist
Step-by-step setup for each tool change
Tool verdicts
Keep, replace, or upgrade with alternatives
Adoption plan
Rollout sequence and training schedule
Cost leak report
Quantified waste: hours x rate = annual cost
Every number shows its math
Hours x rate = cost. No black-box estimates.
You control every assumption
Edit any input. The math recalculates instantly.
Web-verified tool pricing
Real prices from live web search, not training data.
Consistency cross-check
Automated step catches contradictions before delivery.
Investment framing, not tool lists
Every recommendation tied to ROI and payback period.
Objective-driven output
No vendor bias. Open source. You see every prompt.
Install in 10 seconds. No accounts, no telemetry. Your data is processed by your own LLM provider.
npx skills install https://github.com/hyperop-ai/stackscanWe set up HyperOp securely for your team -- on-premise, self-hosted LLM, or in your own cloud. Full control over where your data is processed.
On-premise deployment
Your servers, your data, your control
Air-gapped option
Works without internet access
Guided onboarding
We train your team and configure everything
ChatGPT gives generic advice from a single prompt. HyperOp runs a 15-step pipeline with live web research for real tool pricing, a process map of your actual operations, quantified ROI per change, and an automated consistency check. You get 17 deliverable files with shown math -- not a chat message.
A 5-minute intake conversation: team size, roles, current tools, monthly budget, and main pain points. HyperOp does the rest, including web research to find tool alternatives and pricing.
No accounts, no telemetry, no data collection by HyperOp. Your analysis files stay on your machine. However, the pipeline runs through your AI assistant's LLM API (Anthropic, OpenAI, etc.), so your data is processed by that provider under their privacy policy. Choose a provider you trust.
Every number traces back to your inputs: hours x rate = cost. Every assumption is visible and editable -- change an input and the math recalculates. An automated consistency check catches contradictions before delivery.
Yes. With BYOK you can run unlimited analyses for different clients. Each run is isolated with its own output directory. Great for consultants and agencies.
HyperOp complements consultants by giving them (and you) a quantified baseline. Run it before the engagement to set expectations, or after to validate recommendations.
Yes, MIT licensed. The full pipeline, all prompts, and the skill definitions are on GitHub. You can fork it, modify it, or contribute.
About $2 per full run using Claude Sonnet 4.6. The tool is free and open source -- you only pay for the API calls to your chosen provider. With BYOK, you pay Anthropic directly at their rates.
Run a full operational analysis in 20 minutes. Free. No account needed.
Try the demoFree and open source · No account required · MIT licensed