CPP Homepage Copy Deck

Voice source: Shea Long. Primary register: direct operator-to-executive; specificity over adjectives; numbers spelled as words in prose; no hype clichés. Date: 2026-07-01 Re-cut by: Copywriter atom applying Shea's 5 messaging principles + confirmed client roster (logo rights cleared 2026-07-01). Honest-verb rule applied throughout. No "certified/compliant." No "real-time monitoring dashboard." All stats sourced from docs/research/bigfour-counter-map.md. [NEEDS:] flags mark where Principle #3 (lead with proof) requires evidence not yet supplied.

Section 1 — INTERRUPT (Hero)

Headline:

The first question we ask is not about AI. It is about your operation.

Subheadline:

Covington Place Partners modernizes how mid-market companies work. We build the operational changes that actually hold — and we use AI to build them. That is a different conversation than the one most AI consultants want to have.

Body copy:

Eighty-eight percent of companies are using AI in at least one business function. Over eighty percent report it has not moved a single line on the income statement.

The gap is not a technology problem.

It is an ownership problem, a sequencing problem, and an organizational design problem that has been wearing a technology disguise for two years. The companies that have closed it did not start by evaluating models or selecting vendors. They started by asking an honest question about their operation — what is actually broken, what matters most, and what will realistically change if we do the work.

That is the question we start with.

CPP is not here to deliver an AI roadmap and leave it with you. We are here to modernize how your organization operates — to build the process changes, governance structures, and agentic systems that compound into a measurably different business. AI is the mechanism. A leaner, faster, more capable operation is the outcome.

The AI Opportunity Sprint is where that conversation starts. One day. Specific deliverables. A clear next step.

CTA label: Start with the AI Opportunity Sprint — $3,500

Stat anchor: 88% of organizations use AI in at least one business function; over 80% report no material contribution to earnings. — McKinsey "State of AI in 2025" (Nov 2025), p. 3–4; McKinsey/QuantumBlack "Seizing the Agentic AI Advantage" (Jun 2025), At a Glance, p. 4.

Section 2 — THE PROCESS GUARANTEE

Headline:

Three phases. One continuous sequence. Built around your goals — not our playbook.

Subheadline:

We do not walk in with a pre-baked playbook. The roadmap comes from your operation, your workforce, and where you are trying to take the business — not from a template we sell to everyone.

Body copy:

Gartner projects forty percent of agentic AI projects will be cancelled before they reach production. The pattern behind those cancellations is familiar to anyone who has sat inside an enterprise transformation: a strong pilot, a weak transition, and a governance gap that nobody named up front.

CPP's process is designed around that pattern — to close the gap before it opens.

Phase 1 — Strategy. We start with the executive team. Not a survey. Not a vendor demo. A structured workshop that maps your operations, names your real constraints, and produces a prioritized list of AI initiatives ranked by impact and effort — not by what a software vendor would like you to buy next. The AI Opportunity Sprint is this phase, productized. One day. Specific deliverables. Three thousand, five hundred dollars.

Phase 2 — Readiness. We bring in the domain experts your organization needs — FinOps, AI governance, data readiness, cultural impact, agentic development — matched to what the Sprint surfaced. This is not a standing retainer. It is project-scoped engagement, calibrated to where you actually are on the maturity curve and what your people can absorb.

Phase 3 — Execution. When the strategy is clear and the readiness work is done, our development team builds the agentic solutions. Collaboratively. With knowledge transfer. So your team understands what was built and why — and can maintain it when we are gone.

The three phases connect. The same team owns the sequence from the first discovery session through the last deployment. That is the guarantee: no airgap between what was planned, what was assessed, and what was built.

CTA label: See how the process works

Stat anchor: Gartner: 40% of agentic AI projects will be cancelled by end of 2027. — Deloitte "Agentic Enterprise 2028" (Sep 2025), p. 6, footnote 2 (citing Gartner June 2025).

Section 3 — PROOF FOR THE C-SUITE

Headline:

Two operators who have held the executive chair. A client roster that spans eight industries.

Subheadline:

Shea Long and Mike Burns founded CPP because the pattern repeated across every organization they worked inside. The technology was not the problem.

Body copy:

Deloitte surveyed over three thousand director-to-C-suite leaders earlier this year. Eighty-four percent of their organizations had not redesigned a single job around AI capabilities. They had bought the tools. They had run the pilots. They had not done the harder, slower, organizational work that determines whether any of it holds.

Shea and Mike have watched that same gap close — and widen — across decades of operator experience.

Shea Long has led product strategy at Centene, ModivCare, Papa, EmpowerMe Wellness, and Alivi. The consistent thread across those organizations: AI transformations do not stall because the models stop working. They stall because no one at the executive level owns the sequencing problem. Shea founded CPP to be the firm that owns it with you.

Mike Burns spent over thirty years inside healthcare marketing and digital transformation — as CSO at Advocado, President of Health Services at Wunderman Thompson Health, and in senior roles across the KBM and Wunderman networks. He has seen what happens when an organization's AI strategy gets handed to IT. And what happens when it doesn't.

Neither of them walks in with a pre-baked vendor roadmap and calls it a strategy.

Who we work with:

[DESIGN: Client logo bar — display logos for all ten clients listed below, arranged in a single horizontal row or two-row grid. Multi-vertical treatment preferred: group or annotate by industry to show breadth.]

Scout Motors (a Division of Volkswagen North America) · Core Education · Gateway Fiber · Connectbase Telecom · Crown Packaging · Midas Hospitality · Spinoza Marketing · Myle Care · RxAtlas · The Weinbach Group

CPP clients operate across automotive, education, telecom and fiber infrastructure, packaging, hospitality, healthcare, and marketing and research services. Our process works because we understand how businesses actually run — not just the technology layered on top of them.

[PLACEHOLDER — CLIENT TESTIMONIALS: 2–3 pull-quotes go here once supplied. Each = 2–4 sentences, attributed to a named contact + organization, citing a specific operational outcome or business result. Until real quotes arrive, this block renders as an empty/hidden slot — do NOT ship invented quotes. Suggested layout: card row beneath the logo bar.]

"[Testimonial quote — specific operational outcome, 2–4 sentences.]" — [Name], [Title], [Client Organization]

"[Testimonial quote — specific operational outcome, 2–4 sentences.]" — [Name], [Title], [Client Organization]

CPP holds no platform partnerships. Our recommendations are determined by your operation, not by a partner margin.

CTA label: Learn more about our approach

Stat anchor: 84% of companies have not redesigned jobs around AI capabilities. — Deloitte "State of AI in the Enterprise" (Jan 2026), Key Findings, p. 12–13.

Section 4 — THE PRODUCTS

Headline:

Three product surfaces. All of them outputs of the advisory process — not standalone software.

Subheadline:

Seventy-four percent of organizations plan to deploy agentic AI within two years. Only twenty-one percent have a mature governance model to manage it. The products CPP ships are built to close that gap.

Intro copy:

The advisory process surfaces what your organization actually needs. In most mid-market engagements, that need falls into one of three domains. We have built products in each one.

Product Card: AI Cost Optimization

For: CFO / VP Finance / FinOps

One-sentence job: Make AI spend visible, attributable, and shrinking.

Copy:

AI spend is growing in most mid-market organizations faster than the finance team can attribute it. The Phase 1 audit produces an attributed token-and-dollar baseline, a showback and chargeback framework, anomaly and budget alert design, and a right-sizing assessment. You own the output. If the audit confirms a material gap, Phase 2 managed FinOps is available — scoped to what the audit found, not to what we would like to sell next.

This is an audit and managed improvement service. It goes upstream of metering. It is not a monitoring dashboard.

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Product Card: AI Governance & Audit

For: CISO / Risk / Legal / Compliance

One-sentence job: Enforce AI policy, prove it held, and produce an audit trail a regulator can read.

Copy:

Shadow AI is the new shadow IT. The governance product operates across three layers — content, logical, and physical — with a directive-enforcement firmness ladder that separates visibility (what most tools offer) from enforcement (what your CISO needs).

The audit trail is immutable and timestamp-verified. The regulator export is available within forty-eight hours. The product is designed to support EU AI Act compliance and NIST AI RMF alignment — not to certify it.

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Product Card: AI Development OS

For: CTO / VP Engineering

One-sentence job: Separate real engineering velocity from the vibe-coding trap, and give your CISO the evidence to keep AI tools unblocked.

Copy:

Most engineering teams are not moving faster because of AI. They are accumulating technical debt faster. The AI Development OS surfaces utilization patterns, output-quality signals, and model-steering guidance inside the IDE where engineers already work.

This product is available to a founding cohort of early-access clients. Contact us to discuss scope and timeline.

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CTA label (section): Explore the products

Stat anchor: 74% of organizations plan to deploy agentic AI within two years; only 21% report a mature governance model for autonomous agents. — Deloitte "State of AI in the Enterprise" (Jan 2026), Key Findings, p. 5.

Section 5 — THE SIGNATURE ARTIFACT

Headline:

The 2026 Mid-Market AI Priority Matrix

Subheadline:

Shea Long and Mike Burns' operator verdicts on which AI use cases deliver fastest value — and which ones to stop funding today.

Body copy:

Your AI roadmap is probably backwards.

Most organizations go after the projects that sound impressive. The ones that take eighteen months, require twelve engineers, and quietly drain the people who could have moved something forward in eight weeks.

There is a more useful way to think about it.

Plot every AI initiative your team has proposed on two axes: impact and effort. Be honest about where each one actually lands. The low-impact, high-effort quadrant is where organizational momentum goes to die. Kill those projects. Do it before they absorb another quarter of your best people's attention.

The real leverage is in the opposite corner. High impact, low effort. Workflow fixes hiding in plain sight that nobody bothered to prioritize because they were not exciting enough for an all-hands presentation.

The 2026 Mid-Market AI Priority Matrix applies this framework to the specific industries CPP serves — automotive, education, telecom, healthcare, hospitality, and manufacturing — with operator verdicts from Shea and Mike on which use cases belong in which quadrant. It is in progress. When it publishes, you will want to be the first to see it.

CTA label: Notify me when the 2026 AI Priority Matrix is published

Copy below CTA (waitlist state):

The Matrix is not ready yet. What it will contain when it is: named use-case verdicts across healthcare, telecom, automotive, education, and manufacturing — ranked by real impact and real effort, not by what vendors are currently promoting. Leave your email and we will send it directly when it drops.

[NEEDS: confirm with Brian which industries the Matrix will cover. Current list reflects the confirmed client roster verticals; align with Shea and Mike's planned scope before this section goes live.]

Stat anchor: None required — section is voice-driven; the Impact × Effort framework is the methodology, not a third-party figure.

Section 6 — THE ENTRY POINT

Headline:

The AI Opportunity Sprint

Subheadline:

One day. Specific deliverables. Three thousand, five hundred dollars. Run by Shea Long and Mike Burns.

Body copy:

Here is what you get.

Before the day: eight hours of pre-work. CEO vision capture, short-term and three-year framing, and a bespoke agenda built around your actual operation — your processes, your constraints, your goals. Not a standard discovery template. This is included in the three thousand, five hundred dollar fee.

During the day: a morning of discovery — process mapping, constraint identification, and an optional AI education session for your leadership team. An afternoon of ideation and prioritization. The Impact × Effort matrix applied to your specific situation, with your specific people in the room.

What you leave with: three to four prioritized AI projects. Each one documented with a problem statement, a solution concept, a technical approach, and a named owner. Plus a preliminary three-year AI roadmap as a secondary output.

That output is yours. No license. No follow-on subscription. No vendor recommendation baked into the deliverable.

Some organizations that go through the Sprint find that the priorities it surfaces align with CPP's AI Cost Optimization, Governance, or Development OS work. Some do not. Either way, the Sprint is complete as a standalone engagement.

Price: three thousand, five hundred dollars. Transparent for a reason. An AI advisory firm that cannot tell you what a day of its time costs is not the firm you want advising your AI strategy.

What you get (scannable format):

• 8 hours of pre-work included (CEO vision capture, bespoke agenda design built around your operation, three-year vision framing)
• Full-day workshop run by Shea Long and/or Mike Burns — named operators, not "our team"
• 3–4 prioritized AI projects with Problem Statement, Solution Concept, Technical Approach, and Named Owner
• Preliminary 3-year AI roadmap
• All output belongs to you — no license, no ongoing obligation

Price: $3,500

Timeline: Scheduling typically within two to three weeks of inquiry

CTA label: Start with the AI Opportunity Sprint — $3,500

Secondary CTA label: Questions? Talk to Shea or Mike directly → /contact/

Stat anchor: None — section operates on Stripe precision; specifics carry the trust.

Verify Flags

All stats used in this deck are sourced and confirmed from in-repo research documents.

Client roster (logo rights confirmed by Brian, 2026-07-01): Scout Motors (a Division of Volkswagen North America), Core Education, Gateway Fiber, Connectbase Telecom, Crown Packaging, Midas Hospitality, Spinoza Marketing, Myle Care, RxAtlas, The Weinbach Group. Named as contracted clients only. No fabricated outcomes, metrics, or testimonials.

[NEEDS:] flags summary:

1. Section 3 — Client testimonials (named contact, organization, specific operational outcome). Required to fully satisfy Principle #3.
2. Section 5 — Confirm which industries the Mid-Market AI Priority Matrix will cover before the waitlist copy goes live.