The Deployment Gap

Same AI. Opposite outcomes.

The technology isn’t the variable. Two companies buy the same models — one deploys them into the actual work and prints money, the other runs a pilot that quietly dies. The difference is the deployment layer. Flip the switch and watch the headlines change.

Hype.
No deployment.
Deployed
with Vesca.
95%

of enterprise AI pilots return nothing. It’s not a model problem — it’s a deployment problem. Off-the-shelf tools never learn how the business actually runs, so they stall before they ever touch revenue.

67%

succeed when AI is deployed by a specialized partner — roughly triple the success rate of a do-it-yourself build. That partner, embedded in your operation until the system pays for itself, is exactly what Vesca is.

MIT NANDA▼ Zero return

95% of enterprise GenAI pilots deliver no measurable return.

$30–40B spent. MIT’s verdict: the divide is approach and integration, not model quality.

State of AI in Business 2025 ↗
S&P Global▼ Abandoned

42% of companies scrapped most AI projects in 2025 — up from 17%.

The average organization killed 46% of its AI proof-of-concepts before they ever reached production.

Voice of the Enterprise ↗
Gartner▼ Canceled

Over 40% of agentic AI projects will be canceled by 2027.

Escalating cost, unclear value, no real path to production. Hype without deployment doesn’t survive.

Gartner forecast ↗
MIT NANDA▼ Falls short

DIY AI builds succeed one-third as often as bringing in a partner.

The data is blunt: deployment expertise is the dividing line between the 5% who win and the 95% who don’t.

State of AI in Business 2025 ↗
Coinbase▲ 50% target

~40% of daily code is now AI-generated — targeting 50%+.

CEO Brian Armstrong mandated AI across engineering. Deployed into the real workflow, it ships faster and leaner.

via The Block ↗
Klarna × OpenAI▲ 700 agents

One AI assistant doing the work of 700 full-time agents.

Two-thirds of support chats handled, resolution time 11→2 min, ~$40M profit impact in year one.

OpenAI case study ↗
JPMorgan▲ $1.5B+

AI business-value target raised to $1.5B+.

Fraud detection, KYC, cash-flow analysis — AI deployed into the core operation, not a sandbox.

via Markets Media ↗
NVIDIA▲ +114%

$130.5B revenue, up 114% — on real AI demand.

The picks-and-shovels proof: when AI is actually deployed at scale, it’s where the money goes.

Q4 FY25 results ↗

Without deployment, AI fails.
With Vesca, revenue soars.

Be the 5%, Not the 95% →

Sources: MIT NANDA State of AI in Business 2025, S&P Global Voice of the Enterprise, Gartner, Coinbase, Klarna & OpenAI, JPMorgan, and NVIDIA. Figures reflect each company’s public reporting; outcomes vary by business.

Who This Is For

Which one are you?

AI-Curious

You know you need AI but don’t know how.

You’ve read the headlines. You’ve watched competitors integrate AI into their operations. The pressure is on. You just don’t know what to build first, which tools to trust, or how to wire any of it into how your business actually runs day-to-day.

Idea-Rich

You have the ideas but can’t ship them.

You see exactly what should exist. You can sketch the workflow, describe the agent, map the pipeline. You just don’t have the engineering bandwidth, the team, or the time to actually ship it yourself. Freelancers keep over-promising and under-delivering.

Time-Poor

You’d build it yourself if you had the time.

You understand what your business needs. AI here. Automation there. A real marketing engine. You’d build it yourself if you weren’t already running ops, closing deals, hiring, and putting out fires. You need someone whose full-time job is making this happen.

Marketing-First

You just need marketing that works.

Skip the AI talk. You need leads. You need ad copy that doesn’t sound like a robot wrote it. You need someone running the whole acquisition engine while you focus on closing deals. We do that too.

Engagement

How We Work Together

One consulting-and-deployment retainer, plus optional sales and ongoing-maintenance add-ons — and when a build is worth selling beyond your walls, a partnership on the upside. Month-to-month, cancel anytime.

Plus weekly tech-stack upgrades baked into the retainer. The latest AI tools deployed as they ship. Last quarter’s stack is obsolete. Yours won’t be.

Sales Add-On

5–20% of revenue

Variable share scoped to deal size, sales-cycle length, and how much of the close we own. Stacks on top of the retainer.

  • Every lead followed up within 60 seconds
  • Calls booked + deals closed on your calendar
  • No bandwidth needed from your team
  • Pipeline visibility, every touchpoint logged
  • You only pay when we generate revenue
Add It On →

Maintainer

$1K–$2.5K/mo

Your ongoing AI partner once the build is live. AI never sits still, so neither do we. Scoped to your app’s surface area and how hands-on you want us.

  • We keep your app updated as platforms, APIs, and dependencies change
  • Upgraded to the best AI models as they ship, so your stack never goes stale
  • We work hand-in-hand with your team on changes and rollouts
  • Proactive suggestions to improve speed, UX, and conversion
  • Priority fixes and a direct line when something breaks
Keep It Sharp →

Partnership · Build-to-Own

When we build something bigger than your business, we build it together.

Sometimes a system we ship inside your company turns out to be sellable far beyond it — an app, an agent, an automation other businesses like yours would pay for. When that happens we don’t hand you an invoice and walk. We productize it together: we own and run the product, you take a stake in everything it earns. Your first build becomes a second revenue stream. That’s the difference between a vendor who disappears and an engineer embedded in your upside.

Equity · Royalty · Rev-Share

Scoped per build. Invoked only when what we make is genuinely worth selling. Sits on top of the retainer — never instead of it.

Explore a Partnership →

Training

Or start with the Playbook

The same method we run for clients, as a downloadable playbook. Find where AI fits in your business, ship it in a week, and prove the return. Buy it once, or get it free with any retainer.

Individual
$297

The full playbook, prompt library, and automation templates. One license, lifetime updates.

Get the Playbook →
Team · up to 15 seats
$997

Train your whole team. Everything in Individual, plus an internal-use license and a facilitation guide.

Train your team →

Already a Vesca client? The playbook is included, free, with any retainer.

Questions

Everything You're Wondering

Do I need to sign a long-term contract?

No. We work month-to-month. If we're not delivering, you're not locked in. No penalty, no fine print. We keep clients by performing, not by contract.

How fast do results happen?

Most clients see qualified leads within the first 2 weeks. The first 30–60 days are the learning phase where we test, collect data, and optimize. By month 3, you have a dialed-in, repeatable system.

What does the retainer actually cover?

Everything an in-house AI + ops team would: strategy roadmaps, custom AI agent and automation development, brand strategy, website design, ad creative and management, CRM configuration, and the workflows that tie it all together. You approve, we build and run it. If you also want us closing the leads, add the 5–20% sales engagement on top.

How does the 5–20% revenue share work?

If you want us running lead follow-up and sales conversion (calls, SMS, email, AI-assisted), we charge a variable 5–20% of the revenue we generate, billed monthly against closed-won deals. The exact percentage is scoped on the strategy call based on average deal size, sales-cycle length, and how much of the close motion we own end-to-end. No closes, no fee. Stacks on top of the retainer.

What does the “AI” part actually mean? Will it replace my team?

Not chatbots and not hype. We build custom agents and automations that do specific jobs your team is doing manually right now: lead qualification, follow-up sequences, content generation, ad iteration, reporting, CRM hygiene. Your team supervises and steps in for judgment calls; the agent does the rest. We’ve never built a system that fired anyone. We build systems that pull people up to the work AI can’t do.

Limited Availability. 3 Spots This Quarter

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Your Machine.

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