A2go built ADIP — the Decision Intelligence Platform that makes supply chain AI agents trustworthy, deployable, and compounding for midmarket manufacturers and distributors. ADIP layers above your existing infrastructure. Purpose-built agents handle the decisions. The Judgment Layer encodes your team’s expertise so the system gets smarter with every cycle. No rip-and-replace. No data science team required. Measurable ROI in 6 months. We make what you have work better — and then make it irreplaceable.
Enterprise vendors take 18–36 months and millions in TCO. A2go deploys in 3–6 months at $300K–$1M ACV. We serve the thousands of midmarket manufacturers & distributors that enterprise vendors can’t reach at our speed or price point — and we generate ROI that funds the next deployment automatically.
Enterprise vendors take 18–36 months and millions in TCO. A2go deploys in 3–6 months at $300K–$1M ACV. We serve the thousands of midmarket manufacturers & distributors that enterprise vendors can’t reach at our speed or price point — and we generate ROI that funds the next deployment automatically.
Most supply chain software records what happened. A2go decides what to do next. Fragmented data, legacy ERP systems, and spreadsheet-driven planning leave midmarket companies reacting to problems instead of preventing them. Forecast errors averaging 24–37% cascade into bloated inventory, tied-up cash, and missed customer commitments. ADIP eliminates these structural bottlenecks by unifying data across every system and putting AI agents in charge of the decisions that matter most.
Most supply chain software records what happened. A2go decides what to do next. Fragmented data, legacy ERP systems, and spreadsheet-driven planning leave midmarket companies reacting to problems instead of preventing them. Forecast errors averaging 24–37% cascade into bloated inventory, tied-up cash, and missed customer commitments. ADIP eliminates these structural bottlenecks by unifying data across every system and putting AI agents in charge of the decisions that matter most.
Most supply chains don’t fail because of bad data. They fail in the space between systems, where a demand signal surfaces in one platform, a production constraint lives in another, and a fulfillment risk exists in a third. The result is a steady accumulation of manual handoffs, spreadsheet workarounds, and decisions made in isolation by people working with a partial view. That gap between knowing and doing is where margin erodes and service levels slip. It has persisted through decades of supply chain investment because the tools we’ve built have been extraordinarily good at generating insight, and almost entirely silent on what happens next.
A2go was built to close that gap. The A2go Decision Intelligence Platform (ADIP) deploys as a coordinating layer above your existing ERP, CRM, and data systems, unifying fragmented operational signals without replacing the infrastructure your teams already run on. Purpose-built AI agents monitor continuously across planning, procurement, fulfillment, and supplier performance, acting autonomously on routine decisions and surfacing complex ones with context and recommended actions already in hand. Over time, a Judgment Layer encodes your business rules, planner overrides, and institutional knowledge, so the system doesn’t just learn supply chains in general. It learns yours.
35+ agents purpose-built for manufacturing and distribution decisions — by practitioners who have run these operations, not just modeled them.
Every new agent deploys on ADIP’s existing data, memory, and governance. Expansion is a natural next step — not a new implementation project.
Deploy in 3–6 months. See ROI in 6 months. Each agent’s return funds the next — a self-funding deployment model that enterprise vendors cannot match.
30% inventory reduction. 25% shorter cash cycles. 4X ROI. These are not projections — they are documented outcomes from customers running ADIP today
A2go partners with Databricks to bring enterprise-grade AI infrastructure to midmarket supply chains. Together, we provide the modern data and AI foundation to optimize performance across the supply chain. Databricks powers the data foundation. A2go’s agents handle the decisions.
Mike Romeri leads A2go with extensive experience in consulting, operations, and technology entrepreneurship. He holds an MBA and a BA in economics and history from Harvard University and has served in senior executive roles with manufacturing and software companies, including as Senior Vice President of Flextronics’ Europe and CEO of OPS Rules (acquired by Accenture in 2016). Prior to founding A2go, Mike was a Managing Director at PRTM (now part of PwC), a leading cross-industry supply chain and operations consulting firm where he led S&OP and integrated planning engagements across sectors. His leadership spans driving strategic innovation and operational excellence in complex, global environments.
Cesar Oliveira brings 30+ years of IT and digital transformation leadership to A2go. With an MBA from the University of Colorado-Boulder, he has guided global enterprises in financial services, pharmaceuticals, manufacturing, and retail through successful digital initiatives. Cesar specializes in IT strategy, information security, software engineering, IoT innovations, and big data analytics, delivering strategic value through technology-driven transformation. Cesar oversees A2go deployments and ensures every implementation achieves customer ROI targets on schedule.
Stephen is Co-Founder and CTO of A2go helping organizations use AI to boost supply chain and S&OP performance by blending technical know-how with practical experience. With 25+ years in the field—including leadership roles at PRTM and IBM across 19 countries—he specializes in solutions that simplify complexity for knowledge workers, cutting clerical tasks in half and accelerating critical decisions. Stephen recently led the design of A2go’s Intelligent Data and Agentic Decision Architecture, which delivers context-rich, actionable signals for continuous improvement and captures tribal knowledge. His focus is on combining explainable AI and agentic automation so teams can improve productivity, resilience, and decision excellence in the AI era.
Pete Stiles directs go-to-market strategy and marketing for A2go, drawing on more than 40 years of experience in the supply chain technology sector. He has founded and sold several technology firms, and frequently speaks at industry forums worldwide.
Pete excels at shaping communications, leveraging thought leadership, and enhancing market position through effective technology marketing, making him a key driver of business growth and industry influence.
Mike Roberts heads sales at A2go with two decades of experience in manufacturing and supply chain software. Previously, he led sales for an SAP reseller and founded Activ Technologies, specializing in supply chain visibility for large manufacturers.
Mike has closed multimillion-dollar deals with global enterprises and developed strategic partnerships, including with Microsoft. He began his career at Xerox, earning multiple President’s Club honors.
Edgar Cabral leads the data science team at A2go, specializing in supply chain optimization, forecasting, and machine learning.
At A2go, he develops Agentic AI solutions, helping clients reduce inventory and optimize planning. Edgar holds a PhD and MSc in Management Science and a BSc in Computer Engineering. His career includes advanced modeling work in finance, technology, and teaching, blending technical depth with practical business impact.
João Parcher is a Supply Chain and Data Scientist expert at A2go with extensive leadership experience in global operations and analytics. He delivers AI-powered solutions in materials management and demand planning, utilizing platforms like Azure and Databricks. Previously, he managed supply chain operations for a global company and led predictive analytics projects. João has a Chemical Engineering degree, an MBA in Data Science, and is pursuing a Master’s at the University of São Paulo.
