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About Future Works
We are an AI
experiment
gone right.
Born from an experiment: running an AI agent as a business partner. Today, the AI-native engine that rebuilds infrastructure and operations in twelve-week cycles, de-risked by design.
Who we are
Young company.
Proven experience.
Future Works is a young software company. The mission is narrow and the team is small. The bench behind it is not.
Cumulatively, the partners and senior operators behind Future Works carry over a hundred years of enterprise transformation, agentic delivery, and digital-product engineering. Apple, Google, JLL, NextPower, Accenture, Microsoft, Palantir, Philips, NVIDIA. Founder-grade urgency, operator-grade depth.
Most of that history happened before the AI-agents-plus-named-experts model existed. We built Future Works to pioneer it.
What we do today
Four problem domains.
Industry agnostic.
Clients usually hire us on one and discover they have the other three.
01
AI Operationalization
Move AI out of pilots into the parts of the business that change the P&L. From scattered experiments to operating capability.
See the domain →02
Supply Chain and Fulfillment Transformation
Allocation logic, freight discipline, demand sensing, SKU rationalization, fulfillment digital twins.
See the domain →03
Agentic Workflow Execution
Order-to-cash, S&OP, contracts, service operations, and sales and revenue workflows, plus decision-assist agents in operational planning.
See the domain →04
Operational Resilience and Working Capital
Margin and freight protection, inventory and SLOB reduction, working capital release through SKU rationalization, exception and service-cost reduction.
See the domain →How we work
Named senior experts.
AI agents on the line.
Every engagement is delivered by a small cell of named senior experts, each orchestrating a fleet of high-accuracy AI agents on our own proprietary harnesses. Experts do the design, judgment, and validation. Agents do the labor.
Programs run as multi-cycle engagements. Each cycle is twelve weeks. Each cycle ships value the client can verify. The outcome is measured against an Approved Value Baseline locked in week two by your ROI-approving stakeholders.
Our seven counter-moves
- 01Named Senior Experts
- 02Value-Based Fees
- 03Sub-12-Week Phases
- 04Change-Order-Free Sprints
- 05Transparent Resource Plan
- 06Vendor-Agnostic Architecture
- 07Auditable by Design
Who we serve
Half our work is enterprise, half is large mid-market. No startups. Defined by the SI wallet share we displace, not by company size.
Buyer is usually a CIO, Chief AI Officer, Chief Supply Chain Officer, or Chief Innovation or Transformation Officer. Your ROI-approving stakeholders sign off on the value baseline the outcome-staked cycle runs against. At smaller orgs that may be the CFO; at large enterprises it is more often a finance lead, a business-unit controller, or the COO whose number the program moves.
The accounts we close share three traits: a real P&L problem the AI can move, an executive willing to sign for outcomes, and an operator-level champion who has been waiting for someone to actually ship.
Direct line
Ask us about these now.
Proof
The work compounds.
Trusted by teams at...
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How we unlocked a 2-6x return challenge in 12 weeks for Philips, then a cascading wave of AI transformation across the business.
End-to-end value and maturity mapping in Week 2 organized P&L impact across processes, technology, and operating model. Cycle 1 shipped working-capital and freight outcomes, signed off by Philips Finance against the Approved Value Baseline. The ROI funded Cycle 2; Cycle 2 funded the next cycle. A self-funding wave of AI transformation compounding through the fabric of Philips North America.
Meet the team
The experts who orchestrate the AI.
Your pod is staffed by named senior experts and is published in your engagement contract. Substitutions require your sign-off. No labor pyramid behind the brand. No swap-outs after kickoff.
Operating Partner · CEO
Matt Leta
Fifteen years leading digital and AI transformation for enterprise, midsize, and startup clients. Harvard Business School.
Operating Partner
Namit Bhargava
A decade in Operations Strategy. Ex-Accenture, ex-Microsoft, ex-Vodafone. MIT.
Operating Partner
Michael Wadden
Leader in enterprise AI transformation. Ex-Accenture Partner.
Operating Partner · Ops Productization
Mike Stevens
Technology, product, and operations leader. Served NVIDIA for a decade, among others. Purdue.
Head of People
Giulia Bocci
Ten years leading digital product management, five leading people, culture, and HR.
Lead Product Manager
Usama Ghani
Eight years across ERP, banking technology, and product. Ex-NCR. Master's and bachelor's in software engineering.
Lead Business Analyst
Lindsey Evelyn
Ten years with Fortune 500 operators. Ex-Accenture. Haskayne BCom.
Lead System Architect
Nicholas A.
Ex-Microsoft in AI and cloud. Enterprise architect for Citi. Cranfield MSc.
Senior Agentic Engineer
Mayur Kale
Ten years in software engineering. Fractional CTO to venture-backed founders. Ex-Icon Solutions, ex-Reply.
Senior Agentic Engineer
Marcin Kurylak
Fifteen years leading engineering for enterprise digital programs. AI and data architecture, machine learning.
Senior Agentic Engineer
Alison Galindo
Fourteen years in front-end engineering. Design systems and UI libraries for Shimano and Jägermeister. Ex-AKQA.
Articles
From the field.
Brief
What an AI Native Operating Partner actually delivers
Inside the 12-week cycle: how named experts orchestrate AI agents on production workflows.
Read →
Story
How a Fortune 100 health technology leader transformed operations inside one cycle.
Working-capital and freight outcomes shipped in 12 weeks, signed off by Finance, then a cascade of AI transformation that kept compounding.
Read →
Field note
Outcome-staked cycles in practice
How verified value against the baseline looks in a signed Fortune 100 SOW.
Read →
Insights
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