PMMA Advisory Group

Human-centered. AI-enabled. Data-driven. Outcome-focused.

Practical AI that makes your business work better.

Schedule an AI Opportunity Review

30+ years of delivery experiencePhoenix basedServing organizations nationally

How PMMA works

Business need before technology

  1. 01

    Assess

    Goals, workflows, data, readiness

  2. 02

    Prioritize

    Value, feasibility, risk

  3. 03

    Design

    Future process and solution

  4. 04

    Implement

    Build, integrate, launch

  5. 05

    Train

    Enable owners and users

  6. 06

    Measure

    Adoption, impact, optimization

SYSTEM OUTCOMES

  • Revenue Growth
  • Workflow Efficiency
  • Workforce Training
  • Visibility and Control

PMMA Advisory Group at a glance

Who it is for
Owners, founders, CEOs, COOs, and sales, operations, technology, HR, and PMO leaders at small and midsize businesses and growth-stage organizations.
What PMMA does
AI strategy and opportunity assessment, sales acceleration and revenue operations, process and workflow optimization, AI-assisted training and workforce enablement, and executive advisory and program delivery.
Where
Based in Phoenix, Arizona. Serves organizations nationally.
Pricing
Depends on scope. Starting prices are not published.

Short answer

What does PMMA Advisory Group do?

PMMA Advisory Group is an AI-enabled business advisory, optimization, training, and implementation firm. It helps organizations use practical AI to grow revenue, improve operations, strengthen customer engagement, expand workforce capability, and execute major initiatives more effectively. PMMA starts with a real business problem, examines how the work happens today, and then determines where AI, automation, connected systems, better data, and human oversight can create measurable value.

Business leaders in a focused working conversation
Practical advisory begins with a focused business conversation.Christina @ wocintechchat.com via Unsplash

Where work gets stuck

Common business problems PMMA helps leaders solve

Most leaders already know AI matters. The harder question is where it is worth the investment. These are the situations PMMA hears about most:

  • Leads are not contacted or followed up with consistently.
  • Sales activity is disconnected from marketing and social media.
  • CRM information is incomplete or unreliable.
  • Employees rely on email, spreadsheets, and manual coordination.
  • The same information is entered repeatedly across multiple systems.
  • Handoffs between departments are slow or unclear.
  • Management lacks timely operational and pipeline visibility.
  • Growth keeps requiring more administrative staff.
  • Training and onboarding depend on a few experts.
  • Important knowledge is held by only a few experienced employees.
  • AI pilots are not becoming reliable operating capabilities.
  • Major initiatives lack consistent governance, reporting, or execution discipline.

If two or three of these sound familiar, an AI Opportunity Review is a sensible place to start.

Business outcomes first

AI consulting services organized around business outcomes

01

AI Strategy and Opportunity Assessment

Find out where AI can produce worthwhile value before you invest. Includes AI Opportunity Reviews, readiness evaluations, the AI Growth and Efficiency Assessment, use-case prioritization, business cases, governance, and roadmaps.

Explore AI strategy and opportunity assessment
02

Sales Acceleration and Revenue Operations

Stop losing leads to slow or inconsistent follow-up. Improve lead capture, qualification, routing, nurturing, re-engagement, CRM execution, and pipeline reporting.

Explore sales acceleration and revenue operations
04

AI-Assisted Training and Workforce Enablement

Onboard and train people faster and more consistently, and capture knowledge that currently lives with a few experienced employees.

Explore AI training and workforce enablement
See all AI consulting and implementation services

An operating-model-first approach to AI

PMMA does not sell AI for its own sake, and it does not start with a software product and force your organization to conform to it. The work starts with the business problem, then the current process, then the required workflow. Technology comes second.

“We begin by identifying the business problem, understanding how the work currently happens, and determining where AI or automation can produce measurable value.”

What PMMA connects

  • Strategy to execution.
  • Business requirements to technology.
  • Automation to human accountability.
  • Implementation to adoption.
  • Activity to measurable outcomes.
  • AI opportunity to governed operating capability.

How a PMMA engagement usually progresses

Engagements are staged so you can see value before expanding scope. Most start with a conversation, not a contract for everything.

  1. 01

    AI Opportunity Review

    A focused conversation about your goals, constraints, and where AI might help.

  2. 02

    AI Growth and Efficiency Assessment

    A structured evaluation of business problems, process friction, revenue opportunities, readiness, data, risks, and potential AI applications.

  3. 03

    AI Optimization Blueprint

    The prioritized plan for the future process and solution.

  4. 04

    Focused Implementation Sprint

    Build, integrate, and launch a defined scope.

  5. 05

    Scaling and Integration

    Extend what works across teams and systems.

  6. 06

    Ongoing Advisory or Managed Optimization

    Measure adoption and impact, then keep improving.

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Who PMMA works with

PMMA serves organizations nationally, with Phoenix, Scottsdale, and the rest of Arizona as its home market.

A good fit

  • Owner-operated businesses.
  • Small and midsize businesses trying to scale.
  • Growth-stage organizations under operational strain.
  • Professional-services firms.
  • Insurance and financial-services organizations.
  • Consulting and staffing companies.
  • Healthcare and regulated businesses.
  • Enterprises modernizing complex processes.

Not the right fit

  • Individual consumers.
  • Casual technology enthusiasts.
  • Organizations looking only for inexpensive content production.
  • Organizations that only want a generic chatbot.

Experience behind the work

More than 30 years across complex execution

PMMA brings more than 30 years of leadership and delivery experience spanning business, finance, technology, operations, transformation, and complex execution. That experience ranges from owner-operated businesses to work performed with or within major organizations.

Read about Joe Marrino and how PMMA works
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AI with human review, governance, and accountability

PMMA uses AI to expand capacity, reduce repetitive work, improve access to information, and support better decisions. It does not assume every process should be fully automated. Important, sensitive, regulated, or high-consequence decisions keep appropriate human review, accountability, and escalation. Work in regulated industries accounts for privacy, confidentiality, security, and recordkeeping requirements.

Practical answers

Questions leaders ask before starting with AI

01

Where should our organization begin with AI?

Begin with a valuable business problem, not a software purchase. PMMA evaluates operating friction, revenue opportunities, process readiness, available data, risk, and implementation feasibility to identify where AI can create the most meaningful value.

02

How do we decide which AI opportunities are worth pursuing?

PMMA evaluates potential uses by business value, feasibility, data availability, organizational readiness, risk, adoption requirements, cost, and measurability. The goal is to prioritize opportunities that can become reliable operating capabilities.

03

Do we need to replace our existing systems?

Not necessarily. PMMA first determines what already works. Many improvements come from process redesign, integrations, targeted automation, reporting, or focused applications without replacing every platform.

04

Does PMMA only develop a strategy, or does it help implement it?

PMMA supports the full path from assessment and operating-model design through implementation, integration, adoption, measurement, and scaling. The objective is a functioning business capability, not a strategy presentation you have to interpret alone.

05

Will AI replace our employees or make important decisions without oversight?

PMMA uses AI to expand capacity and reduce repetitive work. Important, sensitive, regulated, or high-consequence decisions should keep appropriate human review and accountability.

Practical insights for business leaders

Browse all PMMA insights

Where should your business begin with AI?

Begin with a business problem, then score opportunities by value, feasibility, readiness, risk, and measurability.

Where should your business begin with AI?

A practical place to begin

Start with one focused business conversation

An AI Opportunity Review starts with your business problem, not a software pitch. We look at how the work happens today and where AI or automation could produce measurable value, then agree on a sensible next step.

Schedule an AI Opportunity Review

Choose a time on the calendar. You will get a confirmation from the scheduler. Prefer to write first? Send a message on the contact page.

Schedule an AI Opportunity Review