Executive Intelligence·Corporate AI Audits·Strategic Recommendations
Strategic clarity on your competitors.
We publish the analysis. You judge the thinking. Then decide if it belongs in your boardroom.
Judge the thinking before you spend a dollar.
Every quarter we publish an Executive Read — a free, open analysis of a market in motion, built with the same engine and the same human review as our commissioned briefs.
The pet-care economy: five signals leadership should notice.
- Retail is buying the exam room
- Two turnarounds, opposite capital bets
- The diagnostics layer is winning either way
- The rollup wave has hit its financing ceiling
- AI shows up as margin, not magic
Signal categories analyzed per engagement
Business days to a decision-ready brief
Competitors examined in a single brief
Findings human-reviewed before delivery
See the brief before you buy the brief.
The Executive Intelligence Brief examines your company and three to five competitors across twelve signal categories — positioning, pricing, AI adoption, hiring, digital strategy — and ends where consulting decks don't: recommended actions.
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What we're watching — July 2026.
Chewy × Modern Animal integration
Watch the clinic-count cadence toward ~60 locations and whether the guided margin drag holds. The clearest test yet of retail-to-care convergence economics.
Petco's 2027 expansion promise
The company paused hospital construction for 2026 and pledged to resume next year. Whether it does is the single clearest tell on its balance-sheet confidence.
Statehouse risk to rollup structures
Corporate-practice-of-medicine bills in New York and North Carolina could reshape MSO economics across healthcare services if the pattern spreads.
Positions you can disagree with.
Advisory without a point of view is stenography. Ours:
Most AI roadmaps fail because they start with tools, not decisions.
Pick the decision AI should improve; the technology follows. The reverse produces pilots that never touch the P&L.
Competitive intelligence that doesn't end in recommended actions is just news.
Every brief we deliver closes with what leadership should do — not merely what competitors did.
In consolidating markets, capital allocation is the loudest signal.
Watch where the money stops. Pauses, recapitalizations and rating actions tell you more than press releases.
The challenge is no longer whether to use AI. It is knowing where, why and how.
Investment uncertainty
Leadership lacks a consistent method for comparing AI initiatives, projected value, implementation difficulty and organizational readiness.
Competitive blind spots
Competitors may already be using AI to improve customer acquisition, pricing, service delivery, productivity or decision-making.
Disconnected experimentation
Departments adopt tools independently without shared priorities, governance, measurement or enterprise direction.
Unclear return on investment
AI activity is increasing, but leadership cannot clearly connect expenditures to revenue, efficiency or strategic advantage.
Organizational readiness
Technology may be available before the workflows, data, leadership alignment or employee capabilities are ready.
Execution risk
Promising initiatives stall because ownership, integration requirements, adoption plans and success measures were never established.
A disciplined model for turning AI potential into business value.
The AI Success Model is a five-phase methodology — Align, Assess, Prioritize, Activate, Advance — that moves leadership teams from scattered AI activity to funded, owned, measured initiatives. It is the framework behind every corporate AI audit and intelligence brief we deliver.
Align
Clarify the company's strategic objectives, executive priorities and most important business constraints — before any technology conversation begins.
What business outcomes should AI serve — and what must it never disrupt?
Assess
Evaluate current capabilities, workflows, data, technology, adoption and competitive position against the objectives set in Align.
Where do we actually stand — internally and against competitors?
Prioritize
Rank opportunities according to business value, feasibility, risk and time to impact, so investment follows evidence rather than enthusiasm.
Which initiatives deserve funding — and which are distractions?
Activate
Define ownership, pilot plans, resources, implementation sequence and success measures for the prioritized portfolio.
Who owns each initiative, and how will we know it is working?
Advance
Measure results, refine the portfolio and expand proven initiatives across the organization.
What do we scale, what do we stop, and what comes next?
An independent audit of how your organization actually uses AI.
A corporate AI audit is a structured, independent assessment of how an organization uses — and fails to use — AI across strategy, data, workflows, governance and competitive position. Ours scores twelve dimensions, benchmarks against competitors, and ends with a prioritized action plan.
How prepared is your organization to create value from AI?
Ten dimensions — strategy, ownership, data, workflows, adoption, governance, measurement, competitive awareness. Two minutes to a scored readiness level, no email required to see your result.
Founded to help executives cut through AI complexity.
AI Success Model was founded by Karen Kepner, a digital marketing and growth leader with more than 20 years of experience, including directing global SEO/PPC programs across 100+ websites for a multi-billion-dollar company. She founded both NeuroBling AI and AI Success Model — and builds the AI research technology that powers the firm's briefs.
- 20+ years of digital marketing and growth leadership
- Directed global SEO/PPC programs across 100+ websites for a multi-billion-dollar company
- Founder of NeuroBling AI and AI Success Model
- Builds and operates the firm's AI-powered research technology
Direct answers for decision-makers.
What does AI Success Model do?
AI Success Model publishes executive competitive intelligence — Executive Read teardowns and Executive Intelligence Briefs — and delivers corporate AI audits for leadership teams, investors, and platforms. Engagements answer a specific strategic decision and conclude with recommended actions.
What is an Executive Intelligence Brief?
An Executive Intelligence Brief is a human-reviewed, AI-enabled strategic report that examines your company and three to five selected competitors across positioning, digital strategy, AI adoption, customer experience and market opportunities. It is delivered as a professionally formatted PDF within five business days, with source citations throughout.
How is this different from hiring a consulting firm?
Engagements are focused and fixed-scope: a defined decision, a defined deliverable, delivery in days rather than quarters, and no pressure toward any software platform or vendor. Projects begin at $595 rather than a six-figure retainer. Read the free Executive Read on this site to judge the quality of thinking before spending anything.
Where does the research come from?
All analysis uses public and observable sources — company websites, announcements, filings, hiring activity, digital channels and market coverage. No confidential or unlawfully obtained information is used, and findings distinguish verified facts from interpretation.
How is AI used in the analysis?
Purpose-built research technology accelerates source discovery and signal analysis. A human analyst reviews material findings, shapes the conclusions and writes the recommendations. Technology accelerates the research; human judgment shapes the conclusions.
What is a corporate AI audit?+
A corporate AI audit is a structured, independent assessment of how an organization uses — and fails to use — AI across strategy, data, workflows, governance and competitive position. AI Success Model audits score twelve dimensions, benchmark against competitors, and end with a prioritized action plan. Findings can be implemented by any provider, including our parent company, NeuroBling AI.
Do you work with private equity firms?+
Yes. We deliver AI audits for private equity across the deal cycle: pre-LOI AI due diligence, post-close portfolio company audits, and value-creation roadmaps that identify where AI improves EBITDA before exit.
Move from AI activity to strategic direction.
You've seen the analysis. If it belongs in your market, the conversation takes thirty minutes.