Commercial laundry operations

Logic Sphere
Commercial Laundry AI

AI agents, workflows, intelligence, and automation built specifically for linen, uniform, mat, and facility-service operators.

Powered by SectorFlow One.

1
Product & portal
8
Internal modules
165
Roadmap use cases
16
Wave 1 priorities

Product scope

Intelligence across the laundry operation.

Logic Sphere Commercial Laundry AI brings service, route, plant, inventory, and business information into a shared workspace.

Laundry-specific workflows

Commercial-laundry intelligence, industry workflows, terminology, implementation, training, and ongoing customer support.

Platform infrastructure

SectorFlow One provides orchestration, agent runtime, system connections, hosting, guardrails, permissions, approvals, and audit logs.

Operational modules

Specialized support for each team.

A coordinating agent routes each question or event to the relevant module, gathers the information, handles permissions and approvals, and returns the result in the Logic Sphere portal.

Logic Sphere coordinating agent

The front door — understands, routes, gathers, enforces approvals, returns results.

Wingmate positioning

Wingmate manages customer relationships and field activity. Logic Sphere connects that information to route, plant, inventory, and finance data for laundry-specific intelligence.

Trust by design

Humans approve what matters.

Every flow is tagged with an approval level before it's built.

Green

Runs on its own

Summarize, organize, draft, classify, retrieve

Yellow

Named reviewer signs off

Recommend or prepare an action

Red

Explicit authorized approval

Pricing, contracts, credits, employment, safety, chemical, equipment, regulatory

No agent ever does these on its own

Issue a creditChange pricingCommit a service dateModify a contractChange route frequencyChange parSchedule or terminate an employeeMake an employment decisionChange chemical formulasChange machine settingsShut down equipmentFile a regulatory reportDeclare complianceSend sensitive data to unapproved systems

Plus: configurable alerts and escalation chains with audit logs, and a feedback loop (correct · incorrect · incomplete · unsafe · wrong source · needs new rule) that tunes each customer's setup — never silently changing the global product.

One reusable build

A master laundry template. Configured per operator.

One shared data model, knowledge layer, integration layer, and reusable library of pods, agents, and flows — built once, deployed to separate customer tenants.

Laundry data model

One shared language for customers, routes, stops, garments, par levels, plants, shifts, machines, batches, poundage and more — 31 objects.

CustomerRouteGarmentPar levelPlantMachinePoundageApproval

Integration layer

Connectors built once, shared by every pod.

WingmateLaundry ERPAccountingEmail & calendarPayrollRFIDCMMSTelematicsLab results

Knowledge layer

Each customer's approved knowledge pack. Every answer cites the source it used.

SOPsPoliciesPricing rulesCredit rulesSafetyManualsBrand voice

Reusable deployment

Same product. Separate customer environments.

Isolated customer tenants

Each operator’s data, rules, permissions, and knowledge stay separate.

Modules activated by need

Feature flags configure the same product around each operator’s systems and priorities.

One use-case library

Each roadmap item becomes a pod, an agent inside a pod, or a flow used by one or more pods.

The Logic Sphere product roadmap

One backlog. Six delivery waves.

From initial priorities to controlled automation — 165 use cases in dependency-led build order.

Build sequence · dates not yet scheduled

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6

Before any code

Every flow gets a 20-field spec.

1Flow name
2Owning pod
3Business problem
4Primary user
5Trigger
6Required inputs
7Source systems
8Agent instructions
9Output format
10Actions it may take
11Actions it may only recommend
12Named reviewer
13Escalation rule
14Write-back destination
15Audit requirements
16Failure tests
17Success metric
18Frequency
19Data sensitivity
20Per-tenant configuration

Partnership responsibilities

Clear ownership on each side.

Logic Sphere owns the industry product

Product name and brand, use cases, knowledge and terminology, roadmap priorities, customer experience, sales and partnerships, discovery and implementation, training, adoption, customer success, and industry templates and IP.

SectorFlow operates the platform

Platform engineering, agent runtime, workflow engine, guardrails, approval infrastructure, audit logs, hosting, model routing, monitoring, reliability, security, and technical maintenance.

Agreed commercial terms

White-label platform access
Logic Sphere pays 2,000 per month.
Compute revenue
SectorFlow retains 85%; Logic Sphere receives 15%.
Monthly access & service fees
Logic Sphere sets its own additional fees, separately from compute revenue.

Remaining partnership checkpoints

Contract and delivery details to confirm.

01

Ownership & reuse rights

Explicit ownership or perpetual commercial rights to laundry templates, prompts, workflows, knowledge architecture, and the use-case library across customers.

02

Billing & settlement

Who invoices customers, how compute usage is reported, and when the compute revenue share is settled.

03

Support & escalation

Logic Sphere handles industry and customer support; SectorFlow handles platform incidents and engineering, with a clear escalation path.

04

Customer data & exit

Controller and processor responsibilities, hosting location, export and termination rights, and what happens if the partnership changes.

05

Reusable deployment

One master template, separate tenants, module feature flags, and isolated customer-specific rules and knowledge.