Good·Favor

Wednesday · 9:22 p.m. · after hours, the engine still runs

The day is long enough, and the work is possible.

Good Favor is an AI Operations Partner for service businesses doing $5M to $50M in revenue. We build the systems, train your team to run them, and measure every dollar they create. We write honestly, charge plainly, and turn up on time.

Currently BuildingAn auto-invoicing run on job completion
Next OpeningTwo Mondays from now (June 28)
On the DeskStudying Solar Power World's Top Contractors
Favorite QuestionWhich truck made money this week?
Practice

The work eating your margin is the work AI does best.

Missed calls, slow quotes, manual dispatch, the same admin tasks every week. That work compounds against your team. The systems below are examples of what Good Favor has built to take it off their plate. Every engagement starts with a Diagnostic that names what you actually need, and the work that follows is sized for a 10X return on the dollar value it creates.

Example · Outbound Engine

Prospect lists that find themselves.

We mine your historical job data for the patterns that actually predict a sale: geography, trade, ticket size, season, repeat-customer signals. Then we build outreach that's specific enough to land, memorable enough to be opened, and automated enough to scale past what one salesperson can do by hand.

OutcomeThe right pipeline, not more pipeline.
Example · AI Revenue Capture

Every inbound call, 24/7/365.

A voice agent that picks up after-hours and weekend calls, qualifies the lead, books the job, and writes it back to your CRM. Calls converted into booked appointments while your office is closed.

OutcomeLive within 30 days. Sized for 10X return on the calls you're missing today.
Example · AI Operations Engine

Dispatch, invoicing, field-to-office.

Smart dispatch and routing. Auto-invoicing within 24 hours of job completion. Cross-platform integration so your software tools share data on their own.

OutcomeCapacity recovered on the dispatch board, hours given back to the office.
Example · Profitability Intelligence

Real job costs, while the job is still running.

A dashboard that tells you profit by job type, crew, location, and trade in real time. Monthly ROI report tied to baseline metrics, weeks ahead of your monthly close.

OutcomeThe owner's monthly close moves from a guess to a number.
Example · AI-Assisted Estimating

Same-day quotes, without the one-person bottleneck.

Estimating support with trade-specific pricing, template generation, and historical lookups. Same-day turnaround that holds up when your senior estimator is in the field.

OutcomeSame-day quotes that hold up when the senior estimator is in the field.
Example · Training & Knowledge Transfer

Your team owns the systems by the time we leave.

SOPs, recorded training, an internal champion equipped to run and extend every system we build. We engineer ourselves out of the business on purpose.

OutcomeEvery engagement ends in independence.
Philosophy

Ten times the value, every time.

10X return is the floor. Every engagement is sized against the dollar value the systems are expected to throw off, and the price is set from there. If we can't see how the work gets to 10X, we don't take it.

10X ROI is the math we aim for on every engagement.

We estimate the dollar value the systems will create for your business before we propose them. The price gets set from there. If we can’t see the path to 10X, we don’t pitch the work. Once it’s live, the monthly ROI report shows what each system actually produced.

i.

Build, train, advise.

The Diagnostic that opens every engagement is the first deliverable. From there: a working system in your stack, then a trained team running it, then a final phase of advisory time on what's live. We engineer ourselves out by design, so the operation runs without us when the engagement ends.

ii.

We train your team to own it.

Every engagement names a future owner. We equip one person on your team as the internal champion, document every system, and engineer ourselves out. Engagements end with your team running the systems on its own.

iii.

We report the math, monthly.

Every system gets a dollar number attached before we build it, against a baseline we capture in Diagnostic. Once it's live, you get a monthly ROI report against that baseline. Numbers in dollars, every month, no sales filter.

iv.

The owner already knows most of the answers.

Service business owners spend their day inside the work. Most of what we do is help name and organize what the owner already knows the operation needs. We bring the AI. The owner brings the answers about their shop. The Diagnostic that opens every engagement is mostly listening.

Wednesday · 9:22 p.m. · after hours, the engine still runs

Start with a conversation.

If you’re running a service business doing $5M to $50M in revenue, and there’s a specific problem eating real money, we’d like to hear about it. Missed calls, manual dispatch, a platform sunset, a quoting bottleneck. Tell us the shape of the problem and we’ll come back with a 10X ROI target and what the work would cost. Email is the fastest way in.

Tell us about your operation
Office Hours
Tuesdays & Thursdays, 10am–noon ET
Location
Durango, Colorado · remote everywhere
Existing Clients
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