Pune, India, 7th April 2026: Hoonartek today announced ClearView™, an agentic decisioning layer designed to help enterprises activate their existing data investments and move from AI experimentation to autonomous, business-driven execution.
Across global enterprises—spanning the US, India, and beyond—organizations face a common challenge. Despite building mature data estates including lakehouses, cloud warehouses, and large-scale data engineering systems, decision-making still relies on fragmented SaaS tools, each solving narrow workflows in isolation.
The result is rising license costs, fragmented ownership, and AI that operates alongside the business rather than inside it. At the same time, increasing regulatory expectations—from financial regulators to data protection frameworks—are forcing enterprises to bring greater accountability, traceability, and control to AI-driven decisions.
ClearView™ is designed to close this gap.
By treating business decisions as the primary unit of design, ClearView™ deploys autonomous agents directly above the existing data estate—activating it for real-time decision-making while systematically reducing reliance on fragmented SaaS layers.
“Enterprises have already built the data foundation. ClearView™ is what finally turns it on—agents that execute real business decisions, traceable from intent to outcome, without adding another SaaS layer.”
— Peeyoosh Pandey, CEO, Hoonartek
Validated by Enterprise Leaders
This shift is resonating across enterprise leadership—particularly among CFOs, CDOs, and transformation leaders—where SaaS rationalization, AI activation, and governance are converging into a single strategic priority.
“Large enterprises don’t struggle with AI because of models or data—they struggle because decisions, accountability, and execution are fragmented,” said Prashant Vithlani, former Head of Samsung SDS America.
“What’s emerging now is a shift toward decision‑centric AI operating models, where outcomes are defined first, and AI is used to coordinate execution across complexity, regulation, and scale. That direction reflects where enterprise AI must go next.”
“In my experience, the biggest gap in enterprise AI has never been data or technology—it has been business decision‑making and ownership,” said Rupinder Bhamra, former Corporate CTO of MSCI.
“Organizations invest heavily in platforms and analytics, but struggle to connect them to the decisions leaders are actually accountable for. A top‑down, outcome‑first approach like ClearView™ directly addresses that gap and brings much‑needed clarity between business strategy, execution, and governance.”
“In highly regulated industries like banking, bottom‑up AI initiatives quickly reach limits around trust, explainability, and control,” said Shiv Kumar Bhasin, Senior Executive, BFSI Industry (Chief Transformation Officer, CTO & COO across IndusInd Bank, National Stock Exchange, and State Bank of India).
“Starting with outcomes, decisions, and regulatory constraints—and then engineering AI beneath them—is the only sustainable way to scale AI responsibly in the enterprise.”
“From a board and governance perspective, the real concern with AI is not experimentation—it is accountability,” said Pankajam Sridevi, Board Member of a leading bank.
“Enterprises need to be clear about which decisions are being automated, who owns them, and how risk and policy are enforced. An outcome‑first, decision‑centric approach like ClearView™ embeds governance, traceability, and control into the operating model rather than layering them on after the fact.”
“What’s held enterprise AI back has never been a lack of data or innovation — it’s the absence of a clear operating model for how decisions are made, governed, and executed at scale,” said Dejan Deklich, CTO.
“An outcome‑first, decision‑centric approach like ClearView™ represents an important shift. By starting with business decisions and accountability — and then applying AI beneath that structure — enterprises can finally move beyond pilots toward AI systems that are trusted, governable, and impactful in real operations.”
How ClearView™ Works
ClearView™ operates across three integrated layers:
- A decision governance layer that defines what agents are authorized to decide and under what constraints
- RealizeAI, Hoonartek’s AI factory that industrializes ML use case delivery
- BlueFoundry, the execution engine that translates business intent into governed agentic workflows
Every decision is traceable from definition to outcome—built-in, not bolted on. The platform supports multiple levels of agent autonomy, allowing enterprises to scale AI based on governance readiness.
ClearView™ is already live in production across financial services, telecommunications, retail, and manufacturing.
Hoonartek was recently recognized at the NASSCOM Inspire Awards 2026 for AI Service Excellence, reinforcing its leadership in enterprise AI transformation.
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About Hoonartek
Hoonartek is a global data and AI solutions company with over 15 years of experience and 250+ enterprise deployments across BFSI, telecommunications, manufacturing, and pharma. The company partners with Databricks, Google Cloud, and Ab Initio to help enterprises activate their data estate and scale AI-driven decision-making.
Media Contact
Rupesh Shinde
AVP Marketing
info@hoonartek.com