01
Candidate selection
Which workflows clear the math threshold (hours saved per week times weeks per year times cost per hour minus build and maintenance cost). Not every workflow qualifies.
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Service route - Stan Consulting
Which manual workflows should AI replace, and which should it stay out of?
$10M+Paid media. Managed.
200+Shopify stores. Built.
300+Websites. Shipped.
+703%One campaign. Public.
9Case files. Documented.
Updated May 2026 · AI-search reviewed · 72-hour written diagnostic
AI Automation is the implementation layer that turns AI strategy into working systems. Not every manual workflow is a good AI candidate; the right ones produce measurable hour-saved or error-reduced outcomes. Five-layer framework: candidate selection, baseline measurement, build, review gates, accountability. From $4,500.
Reviewed by Stan Tscherenkow Last Reviewed May 19, 2026
Founded 2019
Roseville, California
Principal-led scope
Buyer route
AI Automation should route the buyer to the right revenue decision.
Use this route when the business needs AI to improve visibility or operations without losing human control. Stan Consulting connects search visibility, workflow, data boundaries, and owner review.
Key takeaways
What this page settles in one read.
- Implementation, not advisory. Working systems delivered.
- Five layers: candidate selection, baseline, build, review gates, accountability.
- Not every workflow is a good AI candidate. The diagnostic names which.
- 30-90 day implementation depending on scope. From $4,500.
- Human review gates built into every workflow. AI does not own the decision unless the boundary explicitly permits it.
Offer clarity
What you can buy here.
AI Automation is for operators replacing manual marketing or operations workflows with AI-augmented versions where the math works. The work is an implementation engagement that builds, deploys, and measures AI-augmented workflows with human review gates.
The page does not ask you to study a framework first. It gives you the commercial route, what is included, and the next step.
- Workflow map
- Build sequence
- Review gates
- Measurement baseline
The framework
The 5-Layer AI Automation Framework.
02
Baseline measurement
The before-state in numbers: hours, errors, throughput, quality scores. Documented before the build ships. Without baseline, post-build measurement is intuition.
03
Build
Working AI-augmented workflow including prompt templates, input/output formats, system integration, and version control. Built to be operated, not demonstrated.
04
Human review gates
Every client-facing, customer-facing, or regulator-facing output passes through a human review gate. The gate is in the workflow, not bolted on after.
05
Accountability and measurement
Named owner, scheduled review cadence, measurement against baseline, escalation path when AI is uncertain. The system that runs after the consultant leaves.
The method behind every engagement
The SC Method™ · how this works
Stan Consulting reads a business situation across five layers. Every engagement starts here. The number anchors. The method extends.
- 01
Site
The page the buyer lands on, hierarchy and trust.
- 02
Account
Paid surface, funnel mechanics, structure, spend.
- 03
Numbers
Tracking, attribution, the actual money path.
- 04
Offer
What is being sold, the price, the proof.
- 05
Follow-up
What happens after the click, the form, the call.
Step 01Send the URLs and the account access.
Step 02Stan Consulting reads the five layers.
Step 03You get the three things to fix first.
Visual diagnostic
The visual read separates useful AI from noisy automation.
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 signalHow the business appears in answer engines and AI search.
02Workflow signalWhere AI removes repeated work without creating risk.
03Governance signalWho reviews outputs, data, and commercial decisions.
Simple process
No maze. Three moves.
Send the situation
Share the URL, campaign, store, page, or decision that should be producing calls, quote requests, purchases, booked work, or cleaner owner decisions.
Get the route
Stan Consulting reviews the situation and points the request to the right paid scope: review, repair, consulting, build, or advisory.
Move on the fix
You get the next step, owner decision, and implementation route without a vague exploratory call.
Decision lens
AI Automation vs. AI Workflow Build vs. AI Stack Retainer.
| Axis | AI Automation | AI Workflow Build | AI Stack Retainer |
|---|---|---|---|
| What you receive | End-to-end implementation of 1-3 workflows | Workflow build with handoff docs | Ongoing AI stack maintenance and tuning |
| Best when | Specific workflows have a documented automation case | Operating workflow needs a build with measurement | Stack is built, needs ongoing tuning |
| Output | Working systems + baseline + review gates + accountability | Workflow build + inputs/outputs + review gates | Monthly review + tool decisions + operator support |
| Cost | From $4,500 | Scoped | Scoped monthly |
| Duration | 30 to 90 days | Workflow build timeline | Recurring |
| Human review gates | Built into every workflow by default | Built into the workflow | Maintained across stack |
| Measurement baseline | Documented before build | Defined in the build | Tracked monthly |
Why buyers trust the page
Clear scope before more spend.
Automation that saves 30 minutes a week is not worth the build cost. The diagnostic names which workflows clear the math threshold before the build starts.
AI does not ship to clients, customers, or regulators without a human review gate in the workflow. The gate is in the build, not added later.
The number that says the automation worked is defined before the build ships. No automation runs without a documented before-and-after.
Questions before contact
What buyers usually need to know.
Who is AI Automation for?
It is for operators replacing manual marketing or operations workflows with AI-augmented versions where the math works. If there is no live offer, page, campaign, store, or decision yet, start with the contact form so the route can be scoped correctly.
What do we get?
You get workflow map, build sequence, review gates, measurement baseline, plus the next step that should happen first.
How much does it cost?
From $4,500 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?
30-90 day implementation. Response comes through the quote request path after the context is submitted.
Do we need a call first?
Not as the first move. Submit the situation first so the conversation starts with the real page, campaign, store, or decision instead of a blank sales call.
What if we already have an agency or internal team?
That is common. The work can review the current setup, direct the internal team, or define what the outside vendor should fix first.
Which workflows are good AI automation candidates?
Workflows that clear the math: repetitive, structured input and output, clear quality criteria, measurable baseline, and the saved hours times annual frequency exceed the build plus maintenance cost. The diagnostic names which workflows in your business clear the threshold.
What if AI gets it wrong?
Every client-facing, customer-facing, or regulator-facing output passes through a human review gate built into the workflow. The gate is not optional; it is the build pattern. Internal-only workflows have lower-friction review where appropriate.
How is this different from AI Workflow Build?
AI Automation is an implementation engagement that owns the math, the baseline, the build, the gates, and the accountability. AI Workflow Build is a scoped build of the workflow specifically, often as a sub-engagement of Automation or as a standalone build with handoff.
Do you maintain the workflows after build?
Yes through the separate AI Stack Retainer engagement. The Automation engagement ships the working system with documentation; the Retainer covers ongoing tuning, tool decisions, and operator support.
What does the engagement cost?
From $4,500 for a single-workflow implementation. Multi-workflow or enterprise scopes scoped after intake at /contact. Typically $4,500 to $25,000 depending on workflow complexity and integration depth.
External references
What the research says.
- Generative AI productivity gains concentrate in workflows with clear input-output structure and documented baseline measurement. McKinsey · The economic potential of generative AI
- Companies that implement AI without baseline measurement report inflated productivity gains that do not survive audit. BCG · The Generative AI Paradox
- Successful AI automation programs share three structural elements: candidate selection, human review gates, and named accountability. MIT Sloan · AI in the Workplace
- AI productivity gains in real workflows depend on review gate design as much as model capability. Stanford HAI · AI Productivity Research
This service answers these pains
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