Vertical products

A vertical product wins by understanding one operating system deeply.

The agent is only one part of the product.

The complete system includes the workflow, records, permissions, customer interface, evidence, and human decision points.

Application infrastructure now Industry systems through integrations

Product directions

Healthcare operations

Intake, documentation preparation, scheduling, administrative follow-up, and controlled human review.

Defense supplier platform

Opportunity tracking, compliance evidence, secure review rooms, and supplier workflow coordination.

Construction operations

Plan review, estimating, submittal tracking, change documentation, and field coordination.

Legal workflow

Intake, document organization, chronology preparation, research, and attorney approval.

Real estate diligence

Document collection, underwriting support, risk review, and investment committee materials.

Insurance claims

Evidence collection, damage documentation, policy checks, and adjuster escalation.

Restaurant operations

Scheduling, inventory review, supplier coordination, training, and location-level reporting.

Logistics control tower

Shipment monitoring, exception research, dispatch coordination, and customer communication.

Property services

Work order intake, vendor scheduling, tenant updates, documentation, and invoice reconciliation.

Education workspace

Persistent student projects, tutoring, assessment support, educator review, and portfolio delivery.

Manufacturing quality

Procedure guidance, inspection evidence, nonconformance workflows, and corrective action tracking.

Ecommerce operations

Catalog work, customer support, returns, merchandising, and channel coordination.

The vertical product stack

flowchart TB
  Experience["Branded customer experience"]
  Workflow["Industry workflow and state machine"]
  Agent["Agent workers"]
  Authority["Permissions and approvals"]
  Systems["Industry systems and integrations"]
  Evidence["Records, artifacts, and audit evidence"]
  Runtime["Sandboxes, computers, data, deployments"]

  Experience --> Workflow
  Workflow --> Agent
  Workflow --> Authority
  Agent --> Systems
  Agent --> Evidence
  Authority --> Evidence
  Systems --> Runtime
  Evidence --> Runtime

Model the responsibility

Define the business object and lifecycle before choosing an agent framework.

For a claim, that may include opened, evidence requested, evidence received, reviewed, exception found, approved, paid, and closed.

For an opportunity, it may include discovered, qualified, assigned, prepared, reviewed, submitted, awarded, and lost.

The agent should advance an explicit workflow rather than inventing state in a chat transcript.

Separate assistance from authority

An agent can prepare a filing without being authorized to submit it.

It can calculate a recommendation without being authorized to approve it.

It can draft an external message without being authorized to send it.

Represent those boundaries in product state and tool permissions.

Regulated does not mean impossible

It means the product must make data boundaries, human authority, retention, evidence, and incident handling explicit. The applicable requirements depend on the industry and jurisdiction.

Make it a real product

Use MIOSA deployments and domains for the customer-facing application.

Use workspace and external attribution boundaries to connect infrastructure usage to each downstream customer.

Use managed data for product records and object storage for customer artifacts.

Use sandboxes and computers only behind the product experience.

White-label platform architecture Map downstream customers to MIOSA resources without exposing your workspace key.