OpsPilot AI helps operations teams turn painful workflows into safe, prioritized AI automation pilot plans with implementation briefs, risk reviews, and measurable workflow improvements.
This repository is a sanitized public showcase for recruiters, partners, and prospective clients searching for OpsPilot AI, AI automation planning, operations automation pilot planning, workflow automation roadmap, or responsible AI operations examples. It explains the product direction without exposing private backend code, agent prompts, scoring logic, customer data, deployment configuration, or internal business logic.
- Review the sanitized architecture overview to understand the public/private boundary.
- Open the static public mockup to see the buyer-facing workflow shape.
- Compare fake input with fake output for the public demo story.
- Read the fictional case study for a client-ready narrative.
This showcase is intentionally findable for:
- OpsPilot AI
- AI automation planning
- Operations automation pilot planning
- Workflow automation roadmap
- Responsible AI operations
- Human-reviewed AI automation
- High-level product overview
- Sanitized architecture overview
- Fake sample inputs and outputs
- Non-sensitive frontend mockup
- Case study narrative using fictional data
- Screenshot placeholders for public demos
- Backend source code
- Agent prompts
- Scoring logic
- Orchestration flow implementation
- Pricing/business logic internals
- Roadmap data
- Customer/contact form handling
- Deployment configuration
- API integration logic
- Private notes or admin tooling
The live OpsPilot AI product/landing page is organized around:
- Home
- Product
- Use Cases
- Pricing
- Demo
- About
- Contact
- A user describes an operational pain point.
- OpsPilot structures the problem into a consistent brief.
- The workflow flags risk and human-review requirements.
- A priority recommendation is generated.
- The output becomes a client-ready implementation brief.
See samples/fake-input.json and samples/fake-output.json for fictional examples.
Open mockup/index.html locally to view a non-sensitive static mockup. It does not call APIs, run agent logic, or include private implementation details.
This repo is public by design. Sensitive implementation lives outside this repository.