Stan Consulting LLC delivers the AI Marketing Audit to San Diego-headquartered companies. The engagement is $1,500. The deliverable is a written verdict in 7 business days. Industry mix: biotech and life-sciences, DTC consumer brands, dual-use technology. Series-A or beyond. Fee final on submission.
Home Locations California San Diego
Stan Consulting · San Diego, CA · AI Operator Lane for Funded Operators
San Diego-headquartered companies in biotech, DTC consumer, and dual-use tech. AI Marketing Audit at $1,500 · 7 business days · written verdict. Built for Series-A operators installing AI-native workflows.
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Quick answer
Stan Consulting delivers the AI Marketing Audit to San Diego-headquartered Series-A operators in biotech and life-sciences, DTC consumer brands, and dual-use technology. The deliverable is a written verdict, $1,500, 7 business days from read-only account access. Remote delivery is the standard. The audit names which AI-native workflows install first, in what order, and which dependencies are real.
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San Diego is the largest US biotech and life-sciences cluster outside Boston and the Bay. The HQ operator base in this city skews funded, science-credentialed, and post-pandemic AI-curious. Four industry verticals account for the bulk of the marketing work that comes out of San Diego.
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Series-A through C therapeutics, diagnostics, and platform biology. FDA promotional rules govern claim language. Patient-touching marketing operations carry HIPAA-adjacent obligations. AI-generated content adds an off-label exposure risk that has to be diagnosed before it is installed.
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Premium DTC operators in food, beverage, fitness, and wellness. Paid-media efficiency is the gating constraint. The AI question is which content production steps automate and which break under automation. The audit answers both.
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Software and hardware companies serving both commercial and government customers. Marketing operates against ITAR-adjacent constraints on data residency and personnel. The audit maps where AI tooling violates contract obligations before tools are adopted.
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Real-estate developers, hospitality operators, and logistics companies attached to the regional industrial corridor. Marketing operations skew local but data systems operate at scale. AI workflow installation reduces reporting time without breaking attribution.
Stan Consulting · San Diego · Operational coverage
The biotech and life-sciences corridor runs through Sorrento Valley, Torrey Pines Mesa, and La Jolla — the densest US biotech HQ concentration outside Boston and the SF Bay. Operators are clustered along Genesee Ave, Torrey Pines Rd, North Torrey Pines Rd, and the Lusk Blvd / Sorrento Mesa corridor. UTC anchors the post-funding office market for Series-A through pre-IPO operators, where leases sized for a 25 to 80-person team are the standard footprint.
The DTC consumer cluster is a different map. Carmel Valley, Del Mar, downtown Gaslamp, Little Italy, and North Park are the San Diego home of fitness, wellness, apparel, and food brands operating at $5M to $50M revenue bands. Solana Beach and Encinitas anchor the wellness sub-cluster — the surf-economy operators whose marketing teams sit twenty minutes from the warehouse and sixty minutes from the agency. The two clusters do not overlap. The audit framework does.
Stan Consulting works with both clusters from the Roseville HQ on a remote-default cadence. The AI Marketing Audit at $1,500 runs entirely remote — read-only access in, written verdict out, 7 business days end to end. Workflow Build engagements travel quarterly or as the project requires. The operator does not need to fly the team in to start. The audit drops in their inbox with the engineering questions already framed against their San Diego operating model.
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The marketing operation at a San Diego-headquartered Series-A company is under four specific pressures. Funded competitors are reorganizing around AI-native cycle time. The board is asking for an install plan in the first 90 days. Talent is being recruited north. The compliance overhead is real, not theoretical.
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The board has asked for AI-native workflows in the first 90 days post-close. The existing marketing operation was built for pre-funding scale. The new operating model has to be installed without breaking the current production line. The sequence matters more than the tooling.
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Competitors that closed Series-A six to twelve months earlier are already running AI-assisted content production, paid-media optimization loops, and reporting automation. The cycle-time gap is measurable. The audit identifies the three workflows where the gap closes fastest at the lowest install cost.
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Senior marketing operators in San Diego routinely get recruited to Bay Area and LA shops. The HQ operator can no longer assume the current marketing team will be here in twelve months. The audit recommends which functions should be installed as automated workflows so they survive headcount turnover.
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Biotech and life-sciences operators carry FDA promotional rules, off-label exposure, and HIPAA-adjacent constraints. Dual-use tech companies carry ITAR-adjacent data residency obligations. AI-generated content fails these constraints by default. The audit identifies the failure points before tools are installed.
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The $1,500 audit covers six diagnostic areas. The output is a single PDF, 18 to 24 pages, with a prioritized AI implementation plan. Each finding is sequenced. Compliance annotations are stitched in where the operator has declared a regulated category at intake.
Item 01
Which marketing workflows are ready to install on AI-native infrastructure today, which require data work first, and which should not be automated at all given current constraints. Sequenced by install cost and time-to-value.
Item 02
Where the current paid-media operation is leaking budget. Account structure review across Google, Meta, LinkedIn, and programmatic. Diagnosis of which efficiency gaps AI tooling closes and which are structural and require rebuild.
Item 03
Bottleneck mapping across content production. Where the team is producing manually that should be automated, where AI-generated output is being shipped without review, and where review gates need to be installed before the next funded competitor catches up.
Item 04
Time spent producing reports vs. time spent acting on reports. Most San Diego HQ operations spend 70 percent of analyst time on report production. The audit names the three reports that should be automated first and the four reports that should be retired.
Item 05
Whether the current attribution model survives AI-driven content velocity. Multi-touch attribution breaks when content production rate jumps 5x. The audit specifies what to migrate to and when, with a dependency map.
Item 06
Whether the conversion path on the funded operator's primary properties is structured to absorb the volume increase that AI-driven top-of-funnel will generate. Most funded operators install AI before the conversion architecture can handle it. The audit catches this in advance.
Operating principle
A funded operator does not need more tools. A funded operator needs the right install sequence.01
The right tools in the wrong order produce slower output than the existing manual workflow. The audit names the order. The order is the deliverable.
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Speed gains that violate FDA promotional rules, ITAR data residency, or HIPAA-adjacent constraints get rolled back. Compliance annotations are part of the audit, not an addendum.
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A 30-minute call is not a verdict. The audit produces a written PDF. The written form is what the board reads, the team executes against, and what survives a marketing leadership change.
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The AI Operator Lane is the engagement model for funded operators installing AI-native workflows. Every San Diego engagement begins with the $1,500 audit. The four products that follow are scoped on what the audit finds, not on a fixed package.
Tier 01 · Entry
$1,500
7 business days. Written verdict. Six audit areas. Compliance annotated. The starting point for every San Diego HQ engagement in the lane.
Tier 02 · Build
$5K–$15K
Implementation of the three highest-priority workflows the audit identified. Ranges by industry. Regulated categories price toward the upper end.
Tier 03 · Train
$2,500
Training delivered to the in-house team so the operating model survives headcount turnover. Documented and recorded.
Tier 04 · Hold
$3,000/mo
Ongoing oversight of the installed AI stack. Quarterly re-audits. Tool updates and policy maintenance.
Tier 05 · Custom
$10K–$50K
Custom engineering for operators whose workflow does not fit a standard install. Scoped from the audit.
The $1,500 audit is the only entry point to the lane. Skipping the audit and starting at Tier 02 or above is not offered. The $1,500 fee is the diagnosis the build phase is scoped against.
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The audit is scoped tight. A funded San Diego operator getting it is the single best version of the engagement. A pre-funding operator or a single-project buyer is better served somewhere else in the catalog.
Fit
Not fit
Section 06 · Compliance
Regulated-industry workflows scope separately. The $1,500 audit covers compliance annotation across FDA promotional rules, off-label exposure on AI-generated content, and HIPAA-adjacent constraints where the marketing operation touches patient data. The audit does not provide legal advice. It maps where AI-generated output creates regulatory exposure and where human review is required.
If the audit recommends an AI Workflow Build for a biotech operator, the build phase prices in the upper portion of the $5K–$15K range. Custom AI Build engagements for therapeutics and diagnostics operators routinely scope in the $20K–$50K band because of the document-control overhead. The $1,500 audit fee does not change. The build economics do.
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Eight questions that come up before a San Diego HQ operator commits the $1,500 fee. Answered in writing here so the intake call covers the questions that don't fit on a page.
Stan Consulting is headquartered in Roseville, California. San Diego clients are served remotely as a standard. The team has run engagements with San Diego-headquartered operators in biotech, DTC consumer, and dual-use tech for several years. In-person meetings in San Diego are arranged on request.
A San Diego Series-A operator is typically being asked by the board to install AI-native workflows in the first 90 days post-funding. The $1,500 audit produces a written verdict in 7 business days that names which workflows install first, in what order, and what the dependency chain is. Without the audit, the install sequence is guessed.
Yes. The audit includes a compliance section for regulated categories. Biotech and life-sciences operators receive an annotation covering FDA promotional rules, off-label exposure on AI-generated content, and HIPAA-adjacent constraints where the marketing operation touches patient data. Implementation work for regulated industries scopes separately and prices in the upper portion of the AI Operator Lane ranges.
Pre-funding companies are usually not the right fit for the AI Operator Lane. The Conversion Second Opinion at $999 is the better starting point for pre-funding operators whose paid advertising has stopped producing. Some pre-funding operators run the Second Opinion first, then return for the AI Marketing Audit after closing.
The $1,500 covers a written audit report covering tool inventory, workflow gaps, data quality, content velocity bottlenecks, attribution architecture, and a prioritized AI implementation plan. The report runs 18 to 24 pages. Delivery is 7 business days from read-only account access. The fee is final on submission.
Remotely. Read-only access to the marketing platforms is granted, the team runs the audit, and the written report is delivered as a PDF inside the 7 business-day window. A 30-minute walkthrough call is offered after delivery. No on-site time is required.
Yes. The team has audited DTC consumer brands, biotech and life-sciences operators, and dual-use technology companies headquartered in San Diego. The audit framework is the same. The compliance annotation and the workflow priority order vary by industry.
The AI Operator Lane is the five-product ladder for funded operators installing AI-native workflows: AI Marketing Audit ($1,500), AI Workflow Build ($5K to $15K), AI Operator Training ($2,500), AI Stack Retainer ($3,000 per month), and Custom AI Build ($10K to $50K). Every funded engagement begins with the audit. Subsequent products are scoped on the audit findings.
F6 · AI Operator Lane
A written verdict in 7 business days at $1,500. Tool inventory, workflow gaps, paid-media efficiency, content velocity, reporting cadence, attribution architecture, conversion architecture, and a sequenced install plan. Compliance annotated for biotech, life-sciences, and dual-use operators. Fee is final on submission. The $1,500 is the diagnosis the build phase is scoped against.
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