Founder-Led Advisory

Rethink how your business works in the AI era.

I help CFOs and business leaders redesign Finance, Operations, and Customer Experience using AI, data, and automation — combining 20+ years of operating experience with hands-on implementation.

Javier Matany
Operator experience. AI capability. Measurable outcomes.
20+ years executive experience 1,200+ associates led $75M+ operating budget responsibility Rotman MBA MSc AI — University of Hull (in progress)
Javier Matany

I've spent 20+ years on the other side of the table.

I built MTNY Consulting after a career leading finance, strategy, operations, analytics, and customer experience from inside global organizations. I have owned budgets, led large teams, redesigned operating models, built analytics capabilities, and been accountable for delivering the result — not just recommending it.

Today, I combine that operating experience with data science and AI to help leaders understand what is now possible, decide where it creates real business value, and turn the strategy into execution.

MTNY is deliberately founder-led. I work directly with clients and bring in specialist partners when an engagement requires additional capabilities.

Prior employer experience — not MTNY clients

ADP — 10 years Mondelēz / Kraft — 6 years Colgate-Palmolive
Meet Javier →

Business expertise and AI belong in the same conversation.

AI is changing the economics of what companies can automate, predict, personalize, and understand. But technology alone does not redesign a business.

The opportunity starts with understanding how the business actually works — its decisions, processes, customers, people, data, economics, and controls. That is where MTNY operates: at the intersection of business leadership, finance and operations, data science, and AI.

🏢
Business Leadership
Operating experience, decisions, accountability
📊
Finance & Operations
P&L, process, cost, controls
🔬
Data Science
Analytics, modelling, decision intelligence
⚡
Artificial Intelligence
Automation, prediction, language models
🎯
Where MTNY operates
All four, in every engagement

Three areas where I help leaders rethink performance.

"AI strategy isn't a collection of use cases."
It's a question about what you'd build differently.

Many organizations are experimenting with AI one tool or use case at a time. That can create value, but it rarely answers the bigger question: if we designed this function today, knowing what AI can now do, what would we build differently?

My approach starts with the business. We understand how the function works today, reimagine what could be different, prioritize the opportunities that matter, implement the changes, and measure whether the expected value actually shows up.

Start the Conversation →

From strategy to realized value.

Each engagement moves through five stages — with hands-on involvement from start through value realization.

01
Understand
Get close to the operation, the economics, the data, the people, and the decisions that matter.
02
Reimagine
Define what the function or process could look like using today's AI, data, and automation capabilities.
03
Prioritize
Separate interesting ideas from opportunities with a credible business case, manageable risk, and measurable value.
04
Implement
Stay involved through process redesign, technology enablement, change, governance, and execution.
05
Realize Value
Track the outcomes and adjust until savings, productivity, retention, or decision improvements materialize.

Start at the level that fits the problem.

🔍
Assessment & Diagnostic

A focused engagement to understand the current state, identify the highest-value opportunities, and define a practical roadmap. A low-risk starting point for a larger transformation or advisory relationship.

🛠️
Project & Implementation

A defined engagement to redesign and implement a finance, operations, customer experience, analytics, or AI-enabled initiative.

🔁
Ongoing Advisory

A recurring relationship for leaders who want senior support through implementation, decision-making, performance management, and value realization.

📂
Fractional / Managed Finance

For growing businesses that need stronger financial leadership and management capability without building a full internal finance organization.

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Experience measured in outcomes.

Selected results from Javier's prior corporate leadership experience.

1,200+
Associates led across Canada, the U.S., and offshore operations
$75M+
Operating budget responsibility
$100M+
Savings from North American supply-chain redesign
+40%
Revenue growth
+350 bps
Retention improvement
🏆 ×2
ADP Global CFO Award & Colgate Global YCMA Award

Career-experience case studies.

These reflect Javier's prior employer experience, not necessarily MTNY client engagements.

Customer Experience & Retention
Improve retention and service performance in a large, complex customer operation.
ChallengeIdentify retention risk earlier and improve service execution across a large, data-rich customer operation.
ApproachCombined customer data, predictive analytics, operating changes, and service-management discipline.
Retention +350 bps · NPS +200 bps
Intelligent Operations
Improve economics and execution across a large-scale service organization.
ChallengeReduce cost and improve productivity while maintaining quality and accountability across 1,200+ associates.
ApproachRedesigned processes, call flows, workforce model, analytics, learning, technology, and delivery footprint.
Structural efficiencies delivered · Significant margin improvement
Supply Chain & Strategy
Redesign a complex North American supply-chain network.
ChallengeReduce cost and complexity in a multi-country North American supply-chain network.
ApproachFinancial analysis, network strategy, business cases, and cross-functional execution across Mondelēz / Kraft.
$100M+ in savings
Data & Decision Intelligence
Turn fragmented operating information into actionable management insight.
ChallengeLeaders lacked timely, reliable visibility into operational performance across a complex multi-unit operation.
ApproachBuilt integrated data and analytics capabilities: data infrastructure, visualization, and predictive models.
Earlier identification of performance risk · Stronger decision support
Javier Matany

Javier Matany, MBA

Founder, MTNY Consulting

I am a finance, strategy, and operations executive with 20+ years of experience at global organizations including ADP, Mondelēz / Kraft, and Colgate-Palmolive. My career has included FP&A, strategy, large-scale operations, customer experience, analytics, transformation, and executive leadership.

I hold an MBA from the Rotman School of Management and am currently completing an MSc in Artificial Intelligence at the University of Hull. MTNY brings those two worlds together: the realities of running a business and the possibilities created by AI and data science.

Meet Javier →

What would you redesign if you were starting today?

If you are rethinking Finance, Operations, or Customer Experience — or trying to understand where AI can create meaningful business value — let's talk about the challenge before we talk about the technology.

Discuss Your Business Challenge →