Motorq Appoints Adi Bhashyam as President to Drive AI-Powered Automotive Solutions

Debashish Mukherjee — Mon, 30 Mar 2026 17:28:00 +0200

Motorq, a leading connected vehicle intelligence platform, has announced the appointment of Adi Bhashyam as its President. In this role, Bhashyam will oversee Go-To-Market strategy and operational scaling as the company advances its mission to deliver automated decision systems and streamlined workflows for the automotive sector.

Automotive companies today face increasing pressure to make quicker and more informed decisions about their vehicles. Artificial intelligence is set to transform operations across areas such as fleet management, dealership processes, and lending. Early adopters are likely to gain a strong competitive edge. Motorq has spent several years building the groundwork for this shift, developing a fully software-driven platform integrated directly with more than a dozen OEM partners and spanning over 25 vehicle brands. With this infrastructure and established partnerships in place, the company is now focusing on turning its data capabilities into actionable, automated decision-making systems for businesses.

“We created Motorq to fill a critical gap in data and infrastructure within the industry, and we’ve successfully achieved that,” said CEO Arun Rajagopalan. “Our next step is to build an AI-powered layer that enables automated decisions and predictive workflows—systems our customers can rely on daily. Adi brings extensive experience in designing and scaling such solutions for Fortune 500 companies, and we’re thrilled to have him help transform our data capabilities into essential tools for our customers.”

Bhashyam brings significant expertise in enterprise transformation and AI implementation. He spent over a decade at McKinsey guiding large organizations through major transformations, followed by more than 10 years at C3 AI, where he led several customer-focused functions, including global sales and customer solutions. During his time there, he played a key role in deploying decision systems for Fortune 500 companies, helping them transition from reactive processes to scalable, data-driven operations.

“Motorq has built a distinctive platform, developed over years and closely aligned with the direction of the market,” said Bhashyam. “Its OEM partnerships, trusted data access, and strong relationships are not easily replicated. I’m excited to build on this foundation and strengthen customer engagement through practical AI-driven solutions.”

Bell Integration White Paper Explores AI-Driven Autonomous Enterprise Operations

Debashish Mukherjee — Mon, 16 Mar 2026 15:33:00 +0100

Bell Integration has released a new white paper titled “The Autonomous Enterprise: Architecting Predictive, Self-Healing Operations with AI,” providing AI leaders with a strategic guide to developing intelligent, self-optimising operational systems.

As IT environments continue to expand in scale and complexity, organisations face increasing pressure to maintain resilient, high-performance digital services.

Based on Bell Integration’s extensive experience—supported by a team of 350 AI specialists working across complex enterprise IT infrastructures—the white paper delivers practical insights and guidance for organisations looking to begin their journey toward autonomous enterprise operations.

Alison Hodivala, Director of AI & Data Portfolio Strategy at Bell Integration, said: “The rapid pace of change and the sheer volume of data have surpassed the limits of traditional operating models. Every transaction, sensor input, and user interaction generates a constant stream of information that presents both opportunities and potential risks. This white paper illustrates how AI-driven autonomy and decision-making can transform enterprise performance by minimising risk, improving response times, and enhancing overall resilience.”
Designed for IT leaders, the report outlines a structured approach for moving from reactive workflows to proactive, predictive operations that improve service reliability and operational agility.

Key chapters include
The Changing Digital Landscape
Modern systems generate continuous data flows from transactions, sensors, and user interactions, creating both opportunities and challenges for organisations.

The Operational Reality: Complexity at Machine Speed
Traditional, tightly controlled IT environments have evolved into dynamic ecosystems characterised by constant change.

A Framework for Intelligent Operations
As IT, OT, IoT, and security systems converge, intelligence becomes the central organising principle.

The Role of Agentic AI
Autonomous AI agents are reshaping how organisations handle monitoring, decision-making, and issue resolution.

The Human Dimension
While systems operate autonomously within defined parameters, humans remain responsible for setting intent and maintaining oversight.

Applying Autonomy Across the Enterprise
With AI integrated into core platforms, systems across IT, security, and connected assets are beginning to collaborate with increased contextual awareness.

Leading the Autonomous Enterprise with Trust
Achieving successful autonomy requires not only advanced technology but also strong governance, ethical design, and organisational trust.

Daily CSR

Motorq Appoints Adi Bhashyam as President to Drive AI-Powered Automotive Solutions

Bell Integration White Paper Explores AI-Driven Autonomous Enterprise Operations