Mphasis Bets CAD 30M on Decision AI, Acquires Canadian TAP

Most enterprise AI tools can tell you what happened and predict what might happen next. Far fewer can tell you what to do about it. That gap is what Mphasis is now paying to close.

The global technology services firm has acquired Theory and Practice Business Intelligence Inc. (TAP), a Vancouver-based company that built Continuum AI, a platform designed to translate data insights directly into business decisions. The deal is valued at up to CAD 30 million total, with CAD 10 million paid upfront and a further CAD 20 million tied to performance milestones.

From Analytics to Action

Most companies today have data. The real problem is knowing what to do with it. TAP's Continuum AI sits between the analytics layer and the actual business decision, using causal modeling, optimization, and behavioral economics to suggest specific interventions rather than just surfacing trends.

A traditional analytics tool might show that sales in a retail business are dropping on weekends. Continuum AI is designed to tell you whether to adjust pricing, change the promotions mix, or shift supply chain inputs to fix it.

The platform covers six core areas: demand forecasting, pricing, marketing, supply chain optimization, revenue management, and promotions. It was built specifically for Financial Services, Retail, and Consumer Packaged Goods companies.

The Talent Behind the Deal

Acquisitions often promise technology. This one also delivers a specific person.

Dr. Rogayeh Tabrizi, TAP's founder and CEO, joins Mphasis as Executive Vice President and Head of Decision AI. Her background is unusual: a PhD in Economics, postdoctoral work at Stanford, and earlier research in particle physics at CERN. She is also the author of "Behavioral AI: Unleash Decision Making with Data."

Her expertise in behavioral economics addresses how humans actually make decisions, not how they are supposed to. Pure algorithmic optimization often misses how buyers and business leaders behave under uncertainty.

Decision AI as a Competitive Differentiator

Mphasis CEO Nitin Rakesh framed the deal in terms of where enterprise AI spending is heading. "Over 80% of the AI spending is projected to be directed towards business reimagine and this extends Mphasis' reach into a critical segment of AI spend initiatives," he said.

That figure reflects a real shift in enterprise AI investment. Early spending went into infrastructure, automation, and data pipelines. Now the priority is using AI to make better decisions faster, particularly in high-stakes areas like pricing and customer acquisition.

Ramanathan Srikumar, Mphasis' Chief Solutions Officer, identified the gap the acquisition addresses. "Even when predictive models exist, many organizations lack a robust layer that structures context, links concepts consistently, and enables higher-order reasoning and decisioning," he said.

Having predictions is not the same as knowing what to do with them.

What Enterprise Buyers Should Take From This

This deal is not an isolated move. Enterprise software vendors across the board are acquiring or building decision intelligence capabilities as a competitive differentiator. Companies that previously competed on reporting depth or data visualization are now racing to embed prescriptive AI into their platforms.

For enterprise buyers in Asia evaluating AI platforms, this raises the bar on what to look for. Reporting and dashboards are table stakes. The question worth asking vendors: can your platform tell us not just what is happening, but what we should do next?

Mphasis is betting the answer to that question is worth CAD 30 million.