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Stan Consulting service
AI Operator Training for Teams Using AI Without Losing Review Control
$10M+Paid media. Managed.
200+Shopify stores. Built.
300+Websites. Shipped.
+703%One campaign. Public.
9Case files. Documented.
For companies where the team already uses AI but quality checks and review ownership are inconsistent. Train what to ask, verify, reject, and keep human-owned.
Founded 2019
Roseville, California
Principal-led scope
Need the answer fast?
Share the web address now, or jump to the part that answers the buying question.
Decision point
AI training needs review control before it touches live marketing.
For businesses that need AI to improve visibility or operations without losing human control. Stan Consulting connects search visibility, workflow, data boundaries, and owner review.
Offer clarity
What you can buy here.
This service is for teams using AI in marketing, sales, research, or operations that need prompt discipline, proof checks, and human review rules.
You can see what is included, what decision it supports, and what to share next. It gives you the commercial decision, what is included, and the next action.
- Training sessions
- Use cases
- Review checklist
- Team rules
The method behind every engagement
The Stan Consulting Method™ · how this works
Stan Consulting maps the page, ad account, tracking, offer, and follow-up so marketing work starts from the right evidence.
- 01
Site
Landing page, message order, trust proof, and next action.
- 02
Account
Ad platform, campaign setup, landing page handoff, and spend.
- 03
Numbers
Tracking, attribution, the actual revenue trail.
- 04
Offer
What is being sold, the price, the proof.
- 05
Follow-up
What happens after the click, the form, the call.
Step 01Name the AI workflow, source page, team use case, and review risk.
Step 02Stan Consulting maps the marketing evidence.
Step 03You get the next marketing actions.
visual audit
What the buyer should understand before the next move.
AI work needs visibility, workflow, data boundaries, and human review. Stan Consulting checks where the business should be found, what should be automated, and what must stay controlled.
01Visibility checkHow the business appears in ChatGPT, Google AI, and AI search.
02Workflow checkWhere AI removes repeated work without creating risk.
03Governance checkWho reviews outputs, data, and commercial decisions.
Simple process
Three steps.
Build the marketing plan
Stan Consulting maps the growth path and points the request to the right paid scope: service implementation, consulting, growth build, or marketing services.
Move on the build
You get the next action, owner decision, and implementation sequence without a vague exploratory call.
Why buyers trust the work
Clear scope before more spend.
The offer keeps the price signal, timeline, and next action visible without making the buyer decode an agency menu.
Every step ties back to qualified inquiries or a cleaner owner decision.
Vendor pitches, backlink swaps, casual brainstorms, and unpaid advice requests are not the right fit for this service.
AI training rules change by customer decision, service model, and risk tolerance. Choose your industry.
The decision in front of you
Stan Consulting · retainer agency · in-house hire.
The same revenue work, three different commitments. Open the row that matters to you. The Stan Consulting column is gold-marked.
Dimension
Retainer agency
In-house hire
Stan Consulting
Who does the work
Junior staff or outsourced
One hire, narrow scope
Principal-led, 15+ years
Time to first audit
3 to 6 weeks of onboarding
4 to 6 months to ramp
Principal review on intake
Commitment
6 to 12 month retainer
Salary plus benefits, full-time
Scoped engagement
Accountability
Account manager turnover
Internal performance cycle
Principal-named, NDA-safe
Output
Decks and recommendations
Ramp time, internal politics
Service request, three named fixes
Cost band
$5k to $15k per month
$10k to $25k per month loaded
Custom · by introduction
Final sale or exit
Locked-in contract
Termination cost, severance
Final-sale terms on the product page
Questions before contact
Common questions.
Who should use this service?
Use it when the team is already using AI but quality, claims, review, data handling, or ownership is inconsistent.
What do we get?
You get training sessions, use cases, review checklist, team rules, plus the next action that should happen first.
How much does it cost?
Scoped is the visible starting point or pricing band for this service. Variable work is priced after the asset, account, timeline, and owner involvement are clear.
How fast can this start?
Training package. Response comes through the intake path after the context is submitted.
Do we need a call first?
Not as the first move. Use the intake path first so the conversation starts with the real AI workflow, source page, team use case, and review risk instead of a blank sales call.
What if we already have an agency or internal team?
That is common. The work can map the current setup, direct the internal team, or define what the outside vendor should fix first.
This service answers these pains
If this describes the problem, these pages explain why.
Fit check
Good fit when the team can change the page, offer, tracking, or follow-up.
Bring the page, campaign, offer, tracking, and follow-up context. The growth plan shows which step is losing calls, quotes, orders, bookings, or sales.
The company has real demand, budget, or traffic, and can change the page, offer, proof, tracking, follow-up, or spend logic.
The useful move: more activity will not fix weak targeting, a weak page, missing tracking, or slow follow-up.
The web address, the offer, the ad or search source, the sales action that should happen, and what currently happens instead.
Share the current account, page, store, tracking, or brief.
Use the intake path. Stan Consulting moves it to the right growth plan, implementation, marketing engagement, system build, or strategy call.
Request a quoteBuyer check
What to check before choosing this service
The service needs a named workflow, approved data access, a human review point, and an owner who remains responsible for the result.
Good fit
Use it for repeatable work with clear inputs, decisions, exceptions, and review rules. Do not automate a process the team cannot yet explain.
Check first
Check data sensitivity, permissions, failure cases, approval rules, logging, fallback handling, and who can stop or correct the workflow.