PREVIEW · V2 · NOT LIVE
Strategy · Implementation · Governance · Adoption

AI your team actually uses. Results you can actually measure.

Most AI initiatives die between the demo and the daily habit. We carry you across that gap: the strategy, the build, the governance, and the change management that makes it stick.

Charles Smart presenting at the International Franchise Expo
NBCAssociated PressYahoo FinanceBusiness InsiderAi4 ConferenceGlobal FranchiseInternational Franchise ExpoMFV ExpositionsLoop NewsVoyageLA

The demo was never the problem

Three findings explain most stalled AI initiatives. None of them are about the technology.

HR operations task, run in a chat window53%
The same task, wired into a system98.7%
Contract review, run in a chat window43.6%
The same review, wired into a system95.6%
Anthropic Economic Index, June 2026 data release
Nothing about the model changed.
The plumbing did.

The demo your team saw was real. It was also half a system. The other half is integration, governance, and adoption, and that half is our whole business.

2xSpecialist-led implementations succeed about 67% of the time. Internal builds, about 33%. A specialist doubles your odds. (MIT NANDA, July 2025)
26%Of mid-market companies running AI in production, only 26% call it governed. (Censuswide, n=401, June 2026)
42%Have already had an AI security incident. Governance is not theoretical. (Censuswide, June 2026)

Find yourself

Everything past this point is built for one of three people. Pick your door.

We make AI practical across your business

AI adoption fails when it stays abstract. We pick the right use cases, design the operating model, apply governance, and build systems your team actually uses.

01

Strategy to execution

A clear AI roadmap tied to your business outcomes, then the discipline to ship it.

  • Roadmap tied to outcomes, not hype
  • Use cases prioritized by real cost
  • An operating model so AI sticks
02

Governance & trust

Controls aligned to real risk. Not bureaucracy that slows your team down.

  • AI and data governance sized to you
  • Privacy-aware workflow design
  • Controls that scale across teams
03

Adoption & change

The part almost everyone skips. Training, enablement, and change management on your real workflows.

  • Enablement that drives real use
  • Change support through the rollout
  • Documentation and clean handoff
A clear plantied to outcomes Working systemsin your stack Enablementfor sustained use

From AI interest to AI impact

Choose the engagement that matches your stage. Start with clarity, build governance, deploy systems, or enable your team.

2-4 weeks

AI Readiness & Roadmap Sprint

Leaders who need clarity and a delivery plan

  • Clear AI priorities tied to business value
  • A realistic, phased roadmap you can execute
  • Alignment on tools, guardrails, and success metrics
  • Full engagement detail →
3-8 weeks

AI Operating Model & Governance

Regulated, high-trust, or complex environments

  • Governance-aligned AI execution without bottlenecks
  • Clear ownership, controls, and decision pathways
  • Faster approvals and safer deployments
  • Full engagement detail →
4-10 weeks

Workflow Automation & Orchestration

Operators who want hours back across teams

  • Reduced manual work across key workflows
  • Faster cycle times across sales, marketing, and ops
  • Clear, SOP-backed execution your team owns
  • Full engagement detail →
4-12 weeks

AI Agents & Copilots

Teams ready for repeatable AI assistance

  • AI assistance inside real workflows, not beside them
  • Faster drafting, analysis, and execution
  • Controlled deployment with defined boundaries
  • Full engagement detail →
1-6 weeks

Enablement, Workshops & Adoption

Organizations that want capability, not just training

  • Team confidence built on practical use cases
  • Standardized tool usage across roles
  • Faster adoption and better quality output
  • Full engagement detail →
Ongoing

Executive & Founder AI Coaching

Executives who want high-leverage support

  • Faster personal results from AI, one on one
  • Better decision support and operational clarity
  • Execution systems tailored to how you work
  • Full engagement detail →

Preview note: engagement pricing pending final lock.

How the work gets done

Five stages. Every one produces an artifact you keep.

Stage 1

See the work

Map what your team actually does. Not the org chart version, the real one.

Stage 2

Understand the why

Get the judgment out of your experts' heads. This is the part observation tools cannot do.

Stage 3

Find the money

Rank every workflow by what it costs you. Pick the one worth fixing first.

Stage 4

Build it

Wire it into your systems. Not a chat window. A working part of your operation.

Stage 5

Govern it

Ownership, controls, and adoption. The reason it still works a year later.

This section becomes the one immersive moment on the site: a single object that scatters, organizes, takes the shape of the wave, comes alive, and opens into capacity as you scroll.

The shift we deliver

Where most organizations start

  • Fragmented AI experiments, no cohesion across teams
  • No governance or guardrails, risk growing daily
  • Manual, repetitive workflows eating hours each week
  • Low adoption. Tools sit unused
  • Unclear ROI, budget under scrutiny

Where MetAiBlock takes you

  • Governed, repeatable AI workflows built to scale
  • Clear ownership and controls. Everyone knows their role
  • Automated processes with measurable time back
  • Team confidence. People actually use it
  • Measured outcomes. Numbers that speak
Roadmapsphased delivery plans Dashboardsmetrics & tracking SOPsstandard procedures Playbooksteam guidance Governance Packownership & controls Workflow Ledgerwhat runs, who owns it

Real rooms, real teams

Hands-on delivery is the product. This is what it looks like.

MetAiBlock on the floor at the International Franchise Expo
On the floor at the International Franchise Expo
Franchise conference session
Franchise conference session
The AI Film Workshop, Jamaica
The AI Film Workshop, Jamaica
Executive workshop session
Executive workshop
Main-stage presentation
Main-stage AI presentation

Industries we serve

Franchise & multi-location

Scalable AI and governance for multi-unit operations

Professional services

Faster drafting, analysis, and internal copilots

Healthcare operations

Privacy-aware workflows with clear boundaries

Finance & regulated

Governance-aligned, audit-friendly implementation

What clients say

"MetAiBlock helped us design an AI governance framework and operating model that our leadership actually adopted. They brought structure where we had fragmented experiments and helped us move from pilot chaos to repeatable, governed AI workflows across departments."

VP of Digital Transformation · Enterprise Financial Services Firm · Strategy, Governance & Operating Model

Carnival Cruise Lines

Led the GDPR implementation across all brands.

Direct engagement

Macy's, CVS, Maersk, Shipt

Governance and AI engagements.

Led through Factspan

A national bank · Government of Jamaica · IFE

AI training, implementation, and the official AI partnership of the International Franchise Expo.

Direct

See the full record →

Free · 12 questions · About 4 minutes

Find the one workflow AI should run first.

You get your highest-value workflow named, a cost estimate built from your own answers, and your governance exposure. Then you decide what to do about it.