Miji 弥济 logo
Enterprise AI Infrastructure

The operating system
for AI organizations.

Miji turns business goals into governed AI operations — AI managers, AI workers, deterministic workflows, and human approvals, with a tamper-evident record of every action.

Now onboarding design partners for document-heavy and operations-heavy teams. A product of Canopy Mind, Inc.

Command Center

Live operational overview — goals, capacity, approvals, costs

Live
1 goal at SLA risk · 2 approvals waiting — Review
3
Active Goals
1
At-Risk Goals
5
Active Workers
3
Setup Gaps
4
Operation Runs
2
Pending Approvals
$47.23
Cost Today
143
Work Trail Events
Goal BoardAll Goals
Mortgage PrequalificationActive
Underwriting Manager
321 approval
43% budget used
Customer Onboarding BatchActive
Onboarding Manager
211 approval
SLA at risk — 5:30 PM
79% budget used
Awaiting document verification
Compliance Review Q2Paused
Compliance Manager
28% budget used
Use case

Mortgage prequalification operations.

A complex, judgment-heavy process that requires data gathering, rule enforcement, calculation, and human sign-off — coordinated by Miji.

Reduce manual review by coordinating intake, credit checks, DTI calculations, approval gates, and final readiness summaries in one governed operation.

This is one example. Miji runs any operation that combines structured workflows, AI reasoning, tool access, and human governance.

Other use cases

Customer onboardingDocument-heavy operationsApplication triageCompliance reviewInternal operations automation

Operation

Mortgage Prequalification

in progress

Application intake

Credit pull

DTI calculation

Rule checks

Max loan amount estimation

Monthly payment calculation

Human approval — DTI threshold

Final readiness summary

6 / 8 steps complete · awaiting human review

The gap

Companies do not need another chatbot.

They need a way to safely run AI labor inside real operations.

AI agents are hard to govern

Autonomous agents make decisions without visibility, audit trails, or approval checkpoints. When something goes wrong, no one knows why.

Workflows are too rigid for judgment-heavy work

Traditional automation breaks on edge cases. Real operations require contextual reasoning, escalation paths, and dynamic resource allocation.

Human teams still need control

Compliance, risk, and accountability don't disappear with AI. Teams need audit logs, approval gates, and explainable decisions — at scale.

How it works

From business goal to AI operation.

A single operational model that takes you from intent to governed execution.

01

Business Goal

Define what needs to be accomplished — the objective, SLA, scope, and risk tolerance.

02

Miji Interface

The goal enters the Miji runtime, which structures it into an operational plan.

03

AI Manager

An AI manager takes ownership — allocating workers, assigning workflows, and tracking progress.

04

AI Workers

Role-based digital workers execute tasks with defined permissions, tools, and escalation paths.

05

Deterministic Workflows

Stable, repeatable sub-tasks run on structured workflows — reliable, auditable, fast.

06

Tools & Resources

Workers access APIs, data sources, documents, and integrations with controlled permissions.

07

Human Governance

Every approval, exception, and escalation routes to the right human — with full context and audit trail.

Product

Built for operations that matter.

Six capabilities that form a complete model for running AI labor inside real business processes.

Goal-first operations

Users manage business goals, not AI worker headcount. Miji translates objectives into coordinated work automatically.

AI Managers

Coordinate workers, workflows, resources, risk, and bottlenecks. An AI manager owns the outcome — not just a step.

AI Workers

Role-based digital labor with defined responsibilities, tools, permissions, KPIs, autonomy levels, and escalation policies.

Deterministic Workflows

Stable, repeatable execution for tasks that should not require AI reasoning. Predictable, fast, and fully auditable.

Governance & Work Trail

Every action is explainable, auditable, and approval-aware. Build a complete record of why every decision was made.

Cost & Budget Controls

Token budgets, per-tenant model keys, and per-operation cost attribution keep AI spend visible, capped, and accountable.

How work runs

Every operation follows the same governed path.

From trigger to output, Miji coordinates each step with full observability and human control at every point.

01

Trigger

A business event or schedule starts a new operation run.

02

Operation Run

Miji scopes the run: goal, budget, constraints, timeline.

03

AI Manager

Takes ownership of the goal and allocates workers.

04

Workers & Workflows

AI workers reason. Deterministic workflows execute reliably.

05

Tool Calls

Workers access APIs, databases, calculators, and external services.

06

Human Approval

Configured gates pause execution for human review at thresholds.

07

Work Trail

Every action, decision, and approval is logged with full context.

08

Output

Results are delivered. The complete operation record is preserved for audit.

Trigger → Operation Run → Manager → Workers & Workflows → Tool Calls → Human Approval → Work Trail → Output

Verifiable operations

Logged is not the same as provable.

Most AI systems keep logs. Logs can be edited. Miji's audit trail is hash-chained: every event carries the cryptographic fingerprint of the one before it, so any alteration breaks the chain — visibly and verifiably.

  • Tamper-evident by architecture

    Hash-chained audit events with integrity checkpoints. Chain verification runs continuously — not just when someone asks.

  • Replayable executions

    Deterministic workflows can be re-run with their original inputs to demonstrate exactly how a result was produced.

  • Decisions with reason codes

    Every decision is recorded with its rationale, evidence, and the reason codes that actually fired — not reconstructed after the fact.

  • Approval-aware

    Human approvals are part of the same chain: who decided, when, and what context they saw.

Audit Trail

tamper-evident
Chain verified (142)
DATA ACCESS#138 · document.fact.verified

Income verified from paystub — 2 agreeing sources

· Verification Worker7c2e41ab…9f10
DECISION#139 · decision.recorded

Prequalification decision: approvedDTI_WITHIN_POLICY

· Analyst Workerb91d03fe…4a77
APPROVAL#140 · approval.granted

Human approval — DTI threshold review

· M. Alvareze04c92d1…8b23

each hash includes the previous event's hash · alteration breaks the chain

Why Miji

Other tools answer or execute. Miji organizes.

Chatbots answer questions.
Workflow tools execute predefined steps.
Miji turns goals into governed AI operations.

Miji combines AI reasoning, deterministic execution, resources, permissions, and governance into one operational model — purpose-built for running AI labor inside real businesses.

Chatbotsanswer

Handle individual queries. No memory of prior work, no coordination of tasks, no governance.

Workflow toolsexecute

Run predefined sequences. Break on edge cases. Cannot reason, escalate, or adapt to judgment-heavy steps.

RPAautomates clicks

Imitates user actions. Brittle on UI changes. No understanding of business intent or operational context.

Agent demosimpress

Show capability in isolation. Not built for production operations: no governance, no audit, no human integration.

Agent control planesmonitor

Observe and govern agents built elsewhere. They watch the work — they don't run it. No execution engine in the loop.

Connectors

Your tools, with controlled permissions.

A marketplace of 30+ connector templates — CRMs, credit bureaus, e-signature, databases, communications — each with managed credentials and scoped access for AI workers.

SalesforceHubSpotStripeDocuSignEquifaxGoogle WorkspaceMicrosoft 365SlackTwilioSendGridZillowFollow Up BossPostgreSQLMySQLSQL ServerMongoDBElevenLabsLeonardo+ more

AI connector builder

Need a system that isn't in the marketplace? Describe the API and Miji's builder generates the connector — credentials managed, access scoped, ready for governed use.

Ownership

Your cloud. Your models. Your audit trail.

AI operations belong inside your perimeter — especially in regulated industries where data residency and vendor risk are exam topics, not preferences.

Model-agnostic

Bring your own models and keys. Per-tenant model configuration means no lock-in to a single AI vendor — and no exposure when model procurement becomes a political or contractual risk.

Your infrastructure

Runs in the cloud today, with self-hosted deployments available for design partners. Built on a provider abstraction — storage, secrets, auth, and email are swappable across clouds.

Enterprise controls

Multi-tenant isolation, role-based access control, SSO (OIDC), row-level security, PII encryption, and isolated environments for dev, staging, and production.

Vision

From managing headcount to managing goals.

Traditional companies

Manage headcount.

Hire people for each role. Scale by adding humans. Operations are limited by human bandwidth, cost, and availability.

AI-native companies

Manage goals.

Define objectives. Miji allocates AI labor dynamically. Operations scale with goals — not with hiring.

As labor becomes partially separable from humans, companies need a new management layer for AI labor.

Miji is that layer.

Get started

Build your first AI organization.

We're working with a small group of design partners. If you're building AI-native operations, we'd like to talk.

hello@mijios.ai · mijios.ai

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