MOTE OPS Book a fit call

LESS CHASING. MORE CONTROL.

Your business is running on your memory, your inbox, and too many open tabs.

Mote Ops finds the repetitive work slowing you down and builds a simple, supervised AI system around the tools you already use.

See what Mote Ops can fix Book a fit call
BUILT AROUND YOUR BUSINESS
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ONE CLEAR VIEWToday’s work, togetherYou stay in control
PrioritiesAnswersFollow-ups

START WITH THE FRICTION

Does this sound familiar?

  1. 01

    You're drowning in follow-ups and small tasks.

    See the owner brief →
  2. 02

    Your inbox has become your company's to-do list.

    See today’s priorities →
  3. 03

    You struggle to find the latest customer, project, or policy information.

    See document answers →
  4. 04

    New inquiries arrive after hours and wait too long for a response.

    See lead follow-up →
  5. 05

    Important work only happens because you remember it.

    See the enrollment view →
  6. 06

    You want to use AI in your business, but you don't know where to begin—or what is actually worth paying for.

    See a working example →
How Mote Ops builds these systems
  1. Inputs

    The phone, email, files, and software where work begins.

  2. Context

    Current business information and source material.

  3. Intelligence

    The task-appropriate model, chosen for the work.

  4. Control

    Permissions, boundaries, and human approval.

  5. Outputs

    Briefs, drafts, decisions, and visible next steps.

Working on Mike's Mac

Mike’s current Mac installation: Ollama qwen3-coder:30b and qwen3:14b; canonical operating context and bridge artifacts; working Voice OS components and phone-access patterns; tested project/status routing; CC’s Care Hub build.

Simulated on this public site

Synthetic routing, prerecorded sample local-model response, sample approval, and sample control-center records.

Configured per client

Integrations, permissions, retention, local-versus-cloud model choice, hardware, and live business data.

PLATES 02–07 · WHAT WE INSTALL

Six parts, selected and configured around the work.

02

Private AI Control Center

Problem Work and approvals are scattered.

Installed One supervised command surface.

Human-owned Priorities, approvals, and exceptions.

Evidence Visible queues and audit state.

03

Local LLM Workstation

Problem Private tasks need tighter boundaries.

Installed Task-appropriate local models where justified.

Human-owned Model selection and sensitive-use limits.

Evidence Current hardware and task evaluation.

04

Phone and Voice Operator

Problem Requests arrive away from the desk.

Installed A secure voice and phone interface.

Human-owned Consequential calls and sends.

Evidence Transcript, route, and approval record.

05

Operational Memory

Problem Current truth lives across files and people.

Installed Canonical context and project state.

Human-owned What becomes authoritative.

Evidence Sources attached to each result.

06

Supervised Customer Workflow

Problem Follow-ups vanish between tools.

Installed Intake, drafting, and approval queues.

Human-owned Every consequential customer action.

Evidence Status, reasoning, and next owner.

07

Client Workspace

Problem Teams cannot see the same next step.

Installed A role-appropriate operating workspace.

Human-owned Access, judgment, and final decisions.

Evidence Shared state with explicit boundaries.

AN OPERATOR DAY

The system carries context. People keep judgment.

  1. The morning brief collects open decisions and exceptions.

  2. From the phone, the owner asks for project and customer status.

  3. A local model performs a bounded private-file review.

  4. The owner approves follow-ups and records decisions.

Illustrative composite—not a claim that every event runs unattended.

BUILT AROUND THE WORK YOUR BUSINESS ALREADY DOES

HOME SERVICES

HVAC, plumbing & electrical

New service calls, missing job details, estimates, and follow-ups that need a clear owner.

LEARNING & CARE

Learning centers & childcare

Enrollment inquiries, tours, forms, family follow-ups, and placement steps that cross several tools.

LOCAL PROFESSIONALS

Appointment-based teams

Consultations, intake questions, document requests, and next actions that should not live in someone’s memory.

THE SUPERVISED LOOP

Useful automation stops where judgment begins.

  1. 01

    Catch

    Bring inquiries from the channels customers already use into one visible queue.

  2. 02

    Understand

    Extract what is known, preserve the source, and mark missing or ambiguous details.

  3. 03

    Draft

    Prepare the next response using your policies, voice, and operating boundaries.

  4. 04

    You approve

    A person edits, approves, or skips every consequential customer action.

RUN YOUR OWN NUMBERS

What is the follow-up gap already costing?

Use your own rough numbers. This is an illustrative estimate—not a promise of savings or revenue.

Annual follow-up labor burden$4,500
Annual lead value at risk$14,400
Combined annual friction$18,900A $1,000 audit equals about 5% of this estimate.

SOUND FAMILIAR?

Your tools work. The operating layer between them is missing.

Mote Ops does not replace Jobber, QuickBooks, Gmail, your files, or your phone system. It connects the gaps between them with context, rules, and human approval.

01

The call came after hours

By the time someone responds, the customer has already called the next company.

02

The quote went quiet

Everyone remembers the follow-up differently, and nobody owns the next step.

03

The form is incomplete

Your office has to chase the same missing details before work can begin.

04

The owner holds the system together

Important work remains visible only because you keep carrying it in your head.

HOW TO START

Measure first. Build only what earns its place.

One path, sized to the evidence. Every engagement begins with the audit; continuing is always a separate decision.

01 · START HERE

Workflow Audit

$1,000

One week, one workflow, and an honest automate, simplify, configure, or leave it alone verdict.

  • Current-state map
  • Time and friction tally
  • Written recommendation
02 · PROVE ONE PIECE

Micro-Sprint

$1,500–$2,500

Test one narrow supervised handoff before committing to a complete installation.

  • One bounded workflow
  • Synthetic-first testing
  • Measured acceptance check
03 · INSTALL

Full Installation

$4,000–$6,000

A bounded private AI system, adapted to the tools, policies, and approval points your team already uses.

  • Configured operating layer
  • Human approval controls
  • Training and handoff
04 · OPTIONAL

90-Day Support

$750/month

Three months of monitoring, tuning, training, and measured outcome review.

  • Issue review
  • Rule adjustments
  • End-of-period handoff

If the audit supports a build, Mote Ops scopes the work separately. You are never committed to continuing.

WHAT’S REAL TODAY

Working components across the larger system. One real client. Results still being established.

REAL CLIENT BUILDDEMONSTRATION DATA

CC’s Care Hub

A real client project covering enrollment inquiries, tours, forms, follow-ups, and classroom placement. The current workspace uses demonstration data while the operating workflow is validated.

Inquiry→Tour→Forms→Placement

No inflated proof

Mote Ops has technically working intake, classification, drafting, approval queues, meeting follow-up, customer records, and morning briefs.

Mote Ops is establishing its first measured client results now. You will not see invented ROI, padded customer counts, or autonomous-agent claims here.

  • Every public demo uses synthetic data
  • Every consequential action stays human-approved
  • A no-build recommendation is a valid result

FIT CHECK

Narrow on purpose.

✓ GOOD FIRST FIT

Small teams where every inquiry matters…

  • HVAC, plumbing, electrical, landscaping, and cleaning businesses
  • Learning centers and childcare operators managing enrollment
  • Appointment-based local and professional service teams
  • Businesses receiving inquiries through several channels
  • Owners who want a human responsible for every send

The shared pattern matters more than the industry: an inquiry arrives, information is incomplete, and the next action can disappear between tools.

× NOT A FIRST FIT

I will slow down or decline work involving…

  • Patient, legal, payroll, or highly sensitive records
  • Autonomous sending, spending, or account changes
  • Production access before the workflow is understood
  • A company-wide AI transformation with no first use case
  • A request to replace accountable human judgment

Sensitive work may require different safeguards, specialists, or a no-go recommendation.

WHO DOES THE WORK

Mike Mote. One accountable operator.

I built Mote Ops on my Mac because small businesses do not need another AI pitch. They need someone to understand the work, identify the useful boundary, build carefully, and stay accountable for the result.

I perform the audit, design the workflow, build the supervised system, and review the evidence myself. I take on no more than two new workflow audits each month.

Measure before buildingKeep humans responsibleSay no when no is right

FAIR QUESTIONS

Before you connect a private operating layer.

Does this replace Jobber, ServiceTitan, or QuickBooks?+

No. If your current software already solves the problem, the audit recommends configuring it. Mote Ops works on the unfinished handoffs between your existing tools.

Does every installation require a local model?+

No. Models and infrastructure are configured per client after reviewing privacy, task, and hardware needs. Local models earn their place task by task.

Does the system contact customers automatically?+

Not in the first installation. It organizes information and drafts the next action. A person approves, edits, or skips consequential messages.

What access do you need?+

Only what is necessary for the agreed workflow, defined before work begins. Synthetic and safely scoped tests come before production access.

What happens if the audit says not to build?+

Then the audit worked. You receive the evidence and a simpler recommendation—configure an existing tool, change the process, or leave it alone.

What happens after an “automate it” verdict?+

Mote Ops can scope a micro-sprint or full installation separately. The audit never obligates you to continue.

START WITH THE GAP

Where does useful context stop moving through your business?

Bring one workflow, handoff, or recurring decision to a 30-minute fit call. If a private AI system is not the right answer, I’ll say so.

Book the fit call ↗
No pitch deck. No obligation. One honest fit check.