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REPRESENTATIVE SYSTEM BLUEPRINTS

The architecture behind better operations.

These are conceptual blueprints for the kinds of platforms we design—not case studies. They carry no client names, no screenshots of production systems, and no performance figures. Your system will differ, because your operation does.

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How to read this page. Logic Current publishes three different kinds of thing, and they are never mixed:

  • Representative blueprints — everything below. Conceptual architectures showing how we think about a class of problem. No client names, no screenshots, no measured outcomes, because none of these is a deployed customer system.
  • Our own products — real, running software. Revenue Intelligence is built and operating, in a founding pilot. It is not on this page because it is not a blueprint.
  • Verified client case studies — none published. We publish a client name, an interface, or a number only with verified information and written permission. Until that exists, this row stays empty rather than being filled with something that reads like proof.
01
MULTI-ROLE OPERATIONS

Transportation & dispatch ecosystem

A transportation operator takes bookings through several channels, assigns them to drivers who are already moving, and fields status calls from customers all day. The office is the integration layer, and it does not scale.

  • Customers
  • Dispatchers
  • Drivers
  • Operations managers
  • Finance

Example system flow

  1. 01Customer
  2. 02Booking engine
  3. 03Dispatch
  4. 04Driver
  5. 05Administration
  6. 06Payments

Core modules

  • Booking intake with service and pricing rules
  • Dispatch board with availability and assignment
  • Driver application with status progression
  • Customer status surface
  • Payment capture and reconciliation
  • Operational reporting

Data movement

  • Booking creates the job record and its initial state
  • Dispatch assignment writes to the same record rather than a copy
  • Driver status updates propagate to the customer surface
  • Completed jobs hand off to payment and reporting

Human control points

  • Dispatchers confirm or override automated assignment
  • Exceptions and cancellations route to a person
  • Pricing adjustments require an authorized role

Potential integrations

  • Payment platform
  • Mapping and navigation
  • Messaging provider
  • Accounting export

Project considerations

  • Assignment logic is the hardest part of the build and should be specified early
  • Location capture needs a defined active window
  • Offline behavior in the driver app changes the data model
02
SECURE CLIENT OPERATIONS

Multi-office professional-services platform

A professional-services firm operates several offices that each run engagements slightly differently. Documents arrive by email, status lives in individual inboxes, and leadership cannot compare offices without a manual exercise.

  • Clients
  • Case and engagement staff
  • Supervisors
  • Office administrators
  • Leadership

Example system flow

  1. 01Client
  2. 02Secure intake
  3. 03Office workflow
  4. 04Staff review
  5. 05Approvals
  6. 06Reporting

Core modules

  • Secure client intake
  • Engagement workflow with staged progression
  • Document request and completeness tracking
  • Internal notes and assignment
  • Client portal
  • Multi-office reporting

Data movement

  • Intake creates the engagement and its document requirements
  • Uploads attach to the request rather than to a mailbox
  • Stage transitions are recorded with actor and timestamp
  • Reporting reads from engagement state, not a manual export

Human control points

  • Stage advancement requires the responsible role
  • Supervisory review before client-visible output
  • Qualified judgment retained for professional conclusions

Potential integrations

  • Identity provider
  • Document storage
  • Email and calendar
  • Billing system

Project considerations

  • Office boundaries must be modeled before any workflow is built
  • Document completeness rules vary by engagement type
  • Client-visible versus internal status needs an explicit split
03
FIELD & CARE OPERATIONS

Home health agency operations platform

An agency coordinates caregivers across a service area, matching skills and availability to client need, while keeping documentation complete and credentials current. Scheduling changes daily and documentation quality determines whether the visit can be billed.

  • Clients and families
  • Caregivers
  • Schedulers
  • Supervisors
  • Administrators

Example system flow

  1. 01Client
  2. 02Scheduling
  3. 03Field team
  4. 04Visit workflow
  5. 05Oversight
  6. 06Billing export

Core modules

  • Client intake and service plan
  • Scheduling against skills, availability, and location
  • Caregiver mobile visit workflow
  • Visit documentation and verification
  • Credential and training register
  • Supervisory review and billing export

Data movement

  • The service plan defines what a visit must capture
  • Visit documentation attaches to the scheduled visit record
  • Credential expiry blocks future assignment rather than warning after the fact
  • Verified visits flow to the billing export

Human control points

  • Supervisors review flagged or incomplete documentation
  • Schedule overrides require an authorized role
  • Clinically consequential decisions stay with qualified staff

Potential integrations

  • Identity provider
  • Messaging provider
  • Payroll or billing export
  • Document storage

Project considerations

  • Offline visit capture is a requirement, not an enhancement
  • Credential rules differ by service type and should be configurable
  • Access must be scoped to the client relationship
04
PORTALS & ACCESS

Client and employee portal

An organization wants one front door for customers and staff instead of email threads, shared drives, and phone calls. The difficulty is not the interface — it is deciding precisely who may see and do what.

  • Customers
  • Employees
  • Managers
  • Administrators

Example system flow

  1. 01Sign-in
  2. 02Role resolution
  3. 03Records
  4. 04Requests
  5. 05Documents
  6. 06Notifications

Core modules

  • Authentication and role resolution
  • Role-scoped record views
  • Request submission and tracking
  • Document access and upload
  • Notification preferences and delivery
  • Administrative user management

Data movement

  • Sign-in resolves a role, and the role resolves the permission boundary
  • Every read and write is filtered by that boundary
  • Requests create tracked records rather than messages
  • Notifications are generated from system events

Human control points

  • Administrators provision and revoke access
  • Sensitive actions require confirmation and are logged
  • Escalation path for requests outside the defined workflow

Potential integrations

  • Identity provider
  • Document storage
  • Email and SMS delivery
  • System of record

Project considerations

  • The permission model is the product; design it before the screens
  • Self-service scope should expand in stages after launch
  • Notification volume needs deliberate limits
05
APPLIED INTELLIGENCE

AI-assisted business operations platform

An operation receives a continuous stream of calls, emails, forms, and documents. Most of it is routine and repetitive; a minority is consequential. The goal is to let a system handle the routine while making sure the consequential reaches a person.

  • Customers and enquirers
  • Operations staff
  • Reviewers
  • Administrators

Example system flow

  1. 01Signal
  2. 02Classification
  3. 03Business rules
  4. 04Agent action
  5. 05Human review
  6. 06System of record

Core modules

  • Multi-channel intake
  • Classification and extraction
  • Business-rule evaluation
  • Tool-enabled agent actions
  • Human review queue
  • Action log and observability

Data movement

  • Incoming signals are normalized into a common record
  • Classification and extraction enrich that record
  • Rules decide whether the system may act or must escalate
  • Every agent action is written to the log with its inputs

Human control points

  • Confidence and category thresholds route work to review
  • Reviewers can pause, correct, or escalate any action
  • High-impact categories are always routed to a person

Potential integrations

  • Established AI model providers
  • Email and telephony
  • CRM
  • Document storage

Project considerations

  • Define the review threshold before the model, not after
  • Log inputs alongside outputs or the trail is not reviewable
  • Start with one high-volume, low-variation category
See how each capability is delivered
YOUR SYSTEM WILL BE DIFFERENT

Start with your users, rules, and workflows.

Bring the operation you need to run better. We will map the roles, the data model, and the control points before anyone writes code.

Map your platform