# L&G Cleaning Services: Research Report (Gemini original, 2026-11-13)

## 1. Executive Summary
The Business: L&G Cleaning Services is a family-owned cleaning company established in 2011, serving the Aurora and greater Denver, Colorado area. Reviews praise quality, reliability, and communication.
The Issue: The owner, Luis Guzman, reviews, prices, and confirms every quote and appointment request himself. This creates a bottleneck, acting as a ceiling on the company's growth and consuming the owner’s time.
The Proposed Product: A custom automated intake, quoting, and scheduling FastAPI microservice. This solution will compute firm quotes using the company’s published pricing rules, check real crew availability, and issue automatic SMS/email confirmations for standard cleanings, routing the complex edge cases to the owner for manual approval.

## 2. The Business
 * Name & Background: L&G Cleaning Services, a family-owned business established in 2011. Bonded and insured with a bilingual team (English & Spanish).
 * Leadership: Owned and operated by Luis Guzman.
 * Contact Details: Phone: (303) 944-4318 | Email: Lguzman@lngcleaning.com | Website: https://www.lngcleaning.com/
 * Operating Hours: Monday–Saturday.
 * Service Area: Based in Aurora, CO, serving Denver, Aurora, Centennial, Parker, Castle Pines, Castle Rock, Englewood, Elizabeth, Greenwood Village, Littleton, and Cherry Hills Village.
 * Services Provided: Recurring house and apartment cleaning, deep cleaning, move-in/move-out cleaning, post-construction cleaning, commercial/office/janitorial, and medical/dental office cleaning.
 * Reputation: 4.8 stars across 60 Google reviews. The business is also listed on Angi and HomeAdvisor. The reviews displayed on the site are positive, highlighting quality, reliability, punctuality, "great communication and honest pricing," and being "easy to schedule." [CLANCY AUDIT: the full set of 60 reviews went unread. "displayed on the site" is the verified scope.]
 * Published Pricing & Policies:
   * Home & Apartment: $120–$260
   * Office/Commercial: $180–$450
   * Deep Clean: $220–$450
   * Move In/Out: $260–$550
   * Post-Construction: $300–$700
   * Discounts: 20% weekly, 15% bi-weekly, 10% monthly, 10% senior (65+).
   * Fees & Terms: Rush fee is a $100 minimum ($200 for a weekend rush). There is no deposit required, no cancellation fee, and customers pay on completion.

## 3. The Issue: The Owner Bottleneck
Despite having the necessary structured data to automate bookings, every scheduling decision funnels through one person. The website's own copy repeats this bottleneck:
 * Homepage hero: "Ask a question or request a free estimate. Luis confirms pricing and appointments."
 * "How It Works" step 2: "Request a day and arrival window, Mon–Sat. Luis confirms availability and your appointment."
 * Quote form ending: "This is a quote request, not a confirmed appointment."
 * AI Assistant (Maggie): "Share the details of the cleaning you need. The Advisor organizes the request for Luis to review and confirm your final quote."
 * Service-specific interventions:
   * Deep cleaning: "Luis reviews your priorities"
   * Move-in/out: "Luis can confirm what is included"
   * Free return cleaning: "Luis confirms scheduling"
   * Damage reports: "Luis reviews the situation"
 * Modifications: Cancellations and rescheduling require a manual call or email with no self-serve option. Last-minute/same-day bookings state: "Call (303) 944-4318 to check availability".
 * Site-wide footer: "Monday–Saturday · Appointments confirmed by Luis."
In mechanics, the AI and intake forms collect data; a submitted request yields nothing until Luis replies.

## 4. Why It Matters
 * Single Point of Failure: Luis is the sole bottleneck for pricing, availability, confirmation, changes, and rescheduling. Every request waits on his manual reply, including evenings and weekends when he is working on jobs.
 * Strict Growth Ceiling: This manual intervention caps how many bookings the business can take in and limits how fast a customer receives an answer.
 * Wasted Automation Potential: The inputs required to automate these decisions are being collected in a structured format. The current quote form captures service type, bedrooms, bathrooms, square footage, frequency, add-ons (fridge/oven, interior windows, laundry & ironing), preferred dates, and specific arrival windows (8–10am, 10am–12pm, 12–2pm, 2–4pm). The pricing logic and discount rules are standardized and published. The data is prepared for automation; the final decision remains manual.
 * Important Distinction: This is an owner-time and growth-ceiling problem, not a reputation or customer service problem. Existing reviews praise the business as "easy to schedule."

## 5. The Product Idea: Automated Intake, Quoting & Scheduling Service
To free the owner's time and remove the ceiling on growth, we propose a custom middleware solution that transitions standard bookings to a zero-touch flow, keeping Luis in the loop for complex edge cases.
 * End-to-End Customer Flow: The customer submits the existing structured form. Instead of resting in an inbox, the service computes a firm quote using the published pricing ranges and discount rules. It then checks real-time crew availability, secures the calendar block, and sends SMS and email confirmations and reminders to the client.
 * Luis Override: Standard recurring and one-off house cleans are automated. Complex edge cases (deep cleans, move-ins/move-outs, and post-construction) go to a manual approval queue for Luis to review before confirmation.
 * Technical Shape:
   * Core: A lightweight FastAPI service acting as the central service.
   * Quote Engine: A rules-based computational engine that translates the site's published ranges and discount matrices into exact quotes.
   * Availability Module: An integration that checks the business's existing schedule to map available 2-hour arrival windows against crew capacity. [CLANCY AUDIT: this assumes a digital schedule exists. What tool Luis uses today is unknown (see §7). If bookings are tracked on paper or by memory, v1 includes standing up a shared calendar first, before the integration.]
   * Communications: Automated SMS and email dispatch for instant confirmations and pre-appointment reminders.
   * Operational Handoff: Delivery includes a complete Standard Operating Procedure (SOP) documenting how to manage the new flow.

## 6. Scope for a First Version (v1)
In Scope for v1:
 * The FastAPI middleware service linking the intake form to the quote engine.
 * The rules-based pricing calculator for standard and recurring home/apartment cleans.
 * Basic calendar/availability check integration.
 * Automated SMS and email confirmations/reminders for approved bookings.
 * Standard Operating Procedure (SOP) documentation.
Out of Scope for v1:
 * Automated approvals for complex services (deep cleans, move-in/out, post-construction, commercial). These will be routed to the Luis Override step.
 * A custom-built CRM or calendar application (the service will integrate with the schedule tooling Luis uses).
Delivery Outline (35/40/25 Milestone Shape):
 * Milestone 1 (35%): Kickoff & Rules Lock: Finalizing the exact mathematical logic for the pricing engine and confirming the calendar integration constraints.
 * Milestone 2 (40%): Working Demo: Delivery of a functional end-to-end pipeline (intake form → automated quote → calendar block → test email/SMS notifications).
 * Milestone 3 (25%): Final Delivery: Production deployment of the FastAPI service and handover of the documented SOP.

## 7. Risks, Limits & Unknowns
Before initiating Milestone 1, the following operational unknowns must be confirmed with Luis:
 * What specific tool (if any) tracks crew schedules and bookings today (e.g., Google Calendar, a specific CRM, a spreadsheet, or paper)?
 * How long does a manual quote reply take today?
 * What is the current weekly volume of inbound requests?
 * Does the existing AI "Advisor" (Maggie) deliver its intake summaries via email, or do they live in a proprietary dashboard?

## 8. Sources
 * https://www.lngcleaning.com/
 * https://www.lngcleaning.com/aurora/
 * https://www.lngcleaning.com/denver/
 * https://www.lngcleaning.com/commercial-cleaning/
 * https://www.lngcleaning.com/office-cleaning/
 * https://www.lngcleaning.com/medical-office-cleaning/