TLDR; Patched is reliable AI for regulated operations, automating high-risk workflows like law enforcement, risk compliance and banking reconciliation for multi-billion dollar clients.

Hey everyone, I am Rohan - a second-time founder who want to help regulated operations teams automate mission critical tasks that they feel are too high-risk for AI.

Problem

The biggest challenge with enterprise AI isn’t building smarter agents.

It’s operating them reliably.

As organizations deploy AI across customer support, banking operations, compliance, cybersecurity, and software engineering, they quickly discover that autonomous systems are probabilistic, constantly evolving, and difficult to control. They fail silently, business logic changes over time, and reliability - not capability - becomes the bottleneck.

That’s why we built Patched.

Solution

An AI Operations platform for mission-critical enterprise workflows. We help organizations build, deploy, and continuously improve reliable AI workflows where correctness, security, and auditability matter.

How does it work?

Patched combines deterministic workflow orchestration with AI reasoning.

Rather than asking a single AI agent to solve an entire problem, workflows are decomposed into structured execution steps. AI is used where intelligence adds value, while deterministic execution handles orchestration, integrations, validation, and business rules.

Every workflow is continuously monitored using execution outcomes, human feedback, and operational signals, enabling it to improve over time instead of slowly degrading.

What makes Patched different?

• Structured Reliability
  AI is embedded inside deterministic workflows, making complex operations predictable, observable, and repeatable.
• Built for Regulated Operations
  Complete audit trails, human approvals, policy enforcement, and secure deployment options make Patched suitable for banking, government, cybersecurity, and other high-trust environments.
• Continuous Improvement
  Production outcomes become feedback. Workflows evolve through closed-loop learning rather than relying on static prompts or one-off tuning.
• Enterprise Flexibility
  Deploy with leading commercial models or open-source models, on cloud or air-gapped infrastructure, while integrating with your existing systems.

The future isn’t autonomous AI. It’s reliable AI operations - where users can trust AI to execute business-critical work at scale.

Our Ask:

• If you’re exploring a high-risk, high-volume usecase for AI in the banking/financial space, we’d love to talk.