Miji OS Reviews and Details

Questions & Answers

1. What makes Miji OS unique?

   Miji automates decisions, not just data movement.

   Most automation tools pass data between apps. Miji runs the whole case, such as a loan application or an insurance claim, from intake to outcome:

   • Your policy lives in a built-in rules engine.
   • Cases move through stages and gates.
   • Documents are read and matched to the case.
   • People approve what needs judgement.

   Every decision records the facts, the rule version that decided, who approved it and why, in a tamper-evident audit trail. Before a change goes live, you can test it on real cases, run it silently beside production, or A/B test it on live traffic.

   AI helps you build the workflows, and once built they run the same way every time.

2. Why should a person choose Miji OS over its competitors?

   Because you'd otherwise need several tools to get what Miji does in one.

   • General automation tools (Zapier, n8n, Make) move data well, but have no rules engine, case lifecycle, approvals or audit trail.
   • Rule engines (DecisionRules, GoRules, Drools) decide, but leave the workflow, documents and people to you.
   • BPM and case platforms (Pega, Appian, Camunda) cover more ground, but take long implementations and specialist developers.

   Miji puts rules, workflows, case lifecycles, document checks, human approvals, configurable work queues, testing, experiments and audit in one platform that business teams can change themselves.

   Changes are tested before they ship, and every decision can be explained afterwards.

3. How would you describe the primary audience of Miji OS?

   Operations, teams in regulated businesses that make many decisions they must be able to explain.

   • Example 1: lending, especially manufactured-home and consumer lenders.
   • Example 2: insurance and other case-based operations, such as claims, onboarding and servicing.

   The typical buyer runs an operations where:

   • policy is scattered across spreadsheets, email and people's heads,
   • IT has a long queue of changes, and
   • auditors or regulators ask why each decision was made.

   Miji is also for the operations engineers and developers who support those teams and want rules, workflows and APIs they can version and test.

4. What's the story behind Miji OS?

   We built Miji after seeing the same problem across complex business operations: the logic needed to get work done is scattered across policies, systems, spreadsheets, people and, increasingly, AI tools.

   Changing a credit policy meant a ticket to IT. Proving why an application was declined meant digging through email.

   Generic automation tools couldn't explain a decision, and enterprise platforms took a year to implement. So we built Miji around one idea:

   Automate the operation, keep people in charge of judgement, and make every decision explainable.

5. Which are the primary technologies used for building Miji OS?

   TypeScript throughout.

   • Backend: NestJS API, with BullMQ on Redis for background workers
   • Frontend: Next.js and React; the workflow canvas uses React Flow
   • Data: PostgreSQL with Drizzle ORM, plus pgvector for search over templates and organizational memory
   • Hosting: Google Cloud Run and Vercel
   • Portability: storage, secrets, email and authentication sit behind provider interfaces, so the same code can run on AWS (S3, Secrets Manager, SES) with OIDC sign-in such as Okta
   • AI: large language models power the AI assistant that drafts workflows, and the AI steps that handle judgement
   • MCP server: lets AI assistants build and run workflows through Miji's own tools

6. Who are some of the biggest customers of Miji OS?

   We're early. Miji is launching publicly now, and we're working with our first several of design partners in lending. We'll share customer stories here with their permission.