OpsTwin

An AI-native “digital operations twin” for fast-growing businesses that simulates, detects, and fixes operational failures before they happen across orders, inventory, customer support, and workflows.

Comment

OpsTwin

Inspiration

We wanted to build something that goes beyond dashboards and actually helps B2B operators prevent problems before they hit customers. OpsTwin was inspired by the reality that many growing businesses run on fragmented systems, so operational issues like stockouts, refund spikes, delayed orders, and support overload are usually noticed too late.

What it does

OpsTwin is an AI-native digital operations twin for B2B operators. It seeds a realistic demo business, streams live operational signals, detects risk across five categories, and shows founders what is happening now, what is likely to break next, and what action to take.

Core Features

  • Founder Cockpit

    • Risk gauge
    • KPI cards
    • Revenue vs. refunds chart
    • Live operational signals feed

  • Risk Alerts Board

    • Root cause analysis
    • Impacted entities
    • Actionable recommendations

  • Alert Action Center

    • Acknowledge alerts
    • Resolve incidents
    • Convert alerts into tasks

  • Operations Timeline

    • Source-tagged events from:
    • Shopify
    • Stripe
    • Zendesk
    • Warehouse systems
    • OpsTwin

  • Scenario Simulator

    • Order surge simulation
    • Warehouse outage testing
    • Refund spike analysis
    • Supplier delay modeling

  • Action Queue

    • Kanban-style task management
    • Recommended actions tracking

  • AI Executive Briefing

    • Generated using the AI SDK and Vercel AI Gateway
    • Executive-ready summaries and insights

How we built it

We built OpsTwin as a full-stack application with a production-ready frontend deployed on Vercel and Amazon DynamoDB as the primary database.

The backend uses a single-table DynamoDB architecture with:

  • Runtime key-schema discovery
  • Tenant-scoped queries
  • Batch writes
  • Event-driven workflows
  • High-performance read patterns

Intelligence Layer

OpsTwin combines two complementary intelligence systems:

Deterministic Rules Engine

Responsible for:

  • Risk detection across five categories
  • Alert generation
  • Recommendation creation
  • Simulation outcomes

AI Layer

Powered by the AI SDK and Vercel AI Gateway to provide:

  • Executive briefings
  • Natural-language summaries
  • Operational explanations
  • Improved decision-making context

This approach ensures the platform remains reliable while still feeling intelligent and easy to understand.

Challenges we ran into

The biggest challenge was designing a DynamoDB model that could support multiple product surfaces without becoming rigid or slow.

We also had to balance deterministic business logic with AI-generated summaries so the application remained trustworthy while still delivering an AI-native experience.

Another challenge was making the experience feel realistic end-to-end, including:

  • Seeding believable business data
  • Maintaining a convincing live activity feed
  • Ensuring instant simulator recomputation
  • Creating a cohesive operational workflow

Accomplishments that we're proud of

We're proud that OpsTwin is not just a concept—it is a live-tested product with real DynamoDB-backed workflows.

Key accomplishments include:

  • Realistic seeded business environment
  • Working operations cockpit
  • Actionable risk management system
  • Interactive scenario simulator
  • AI-generated executive summaries
  • Scalable backend architecture

Most importantly, OpsTwin feels like a genuine B2B software product rather than a hackathon prototype. It has a clear value proposition, polished user experience, and a technical foundation built for growth.

What we learned

Throughout development, we learned several important lessons:

Design Around Access Patterns First

When using DynamoDB, understanding and optimizing access patterns is critical to building scalable systems.

Focus Beats Feature Volume

The strongest hackathon products are often those that combine:

  • A clear business pain point
  • Strong user experience design
  • A focused technical story

AI Works Best Alongside Deterministic Systems

Rules provide trust, consistency, and reliability, while AI improves comprehension, communication, and executive-level usability.

Together, they create a more effective product than either approach alone.

What's next for OpsTwin

Our next priorities include:

Real Integrations

Connecting OpsTwin to live business systems such as:

  • Shopify
  • Stripe
  • Zendesk
  • Warehouse platforms
  • Commerce and fulfillment tools

Advanced Forecasting

  • Improved predictive analytics
  • Better risk forecasting
  • More accurate operational insights

Expanded Simulation Engine

  • Additional disruption scenarios
  • More complex operational modeling
  • Cross-functional impact analysis

Role-Based Workflows

Dedicated experiences for:

  • Operators
  • Support teams
  • Operations managers
  • Executives

Long-Term Vision

OpsTwin has the potential to become the operational intelligence layer for modern businesses.

Our goal is to help teams move beyond reactive firefighting and toward proactive execution—identifying risks early, understanding their impact, and taking action before customers feel the consequences.

Built With

Share this project:

Updates