# DataToBiz Opens Registrations for Free Data Foundation Checklist 101 AI Readiness Consultation

> DataToBiz opens free Data Foundation Checklist 101 consultations for mid-sized and large firms, pairing a two-minute maturity assessment.

- Published: 2026-11-15T05:52:51+00:00
- Section: Product Launches
- Author: News Desk
- URL: https://newsforagent.com/news/2026-11-15/datatobiz-data-foundation-checklist-101
- Source: [FinancialContent Business Page](https://www.financialcontent.com/article/marketersmedia-2026-11-15-datatobiz-opens-registrations-for-data-foundation-checklist-101-ai-readiness-consultation)

## Key takeaways

- DataToBiz is taking consultation slots for its free Data Foundation Checklist 101 session aimed at mid-sized and large firms.
- The company's Data Maturity Assessment takes under two minutes and includes a one-on-one strategy session with an analytics expert.
- Co-founder and COO PS Dhillon said the checklist gives businesses a practical starting point for identifying data gaps before committing to AI initiatives.

[DataToBiz](https://akta.pro/company-profiles/0009mmu/datatobiz) has opened registrations for its free "Data Foundation Checklist 101" consultation, a session for mid-sized and large firms to assess whether their data is ready for enterprise AI. The [FinancialContent Business Page](https://www.financialcontent.com/article/marketersmedia-2026-11-15-datatobiz-opens-registrations-for-data-foundation-checklist-101-ai-readiness-consultation) published the announcement on November 15, 2026.

## Inside the Data Foundation Checklist 101 Session

The consultation is built on the company's Data Maturity Assessment, a readiness check that takes under two minutes and includes a one-on-one strategy session with an analytics expert to discuss the client's use case. The free assessment call covers data quality, integration, governance and accessibility, and is intended to help stakeholders find foundational gaps before committing to new initiatives.

DataToBiz cites McKinsey's report "The state of AI in 2026," which found that among 88% of organisations using AI in at least one business function, only 1% begins its AI strategy with a scalable data foundation to support it. Co-founder and CEO Ankush Sharma said, "Recognising that AI ambitions often outpace data readiness, DataToBiz offers a Data Maturity Assessment."

Co-founder and COO PS Dhillon said, "AI adoption should begin with an honest conversation about the data infrastructure behind it. Businesses across the USA, Australia, and others need to understand whether their data pipelines, existing ecosystem, or current governance practices are ready to support the outcomes they expect from AI. This checklist offers a practical starting point for identifying gaps and prioritising the right investments."

## DataToBiz's Microsoft and Cloud Partnerships

According to akta.pro [company records](https://akta.pro/company-data), DataToBiz publicly positioned itself as a Microsoft Fabric implementation partner in January 2026, offering architecture design, spend analysis, governance and deployment consulting around Fabric as a unified data and AI platform. The same records list Microsoft Azure and Amazon Web Services among its cloud partnerships, and describe enterprise client engagements across 15+ countries.

## Earlier Launches in DataToBiz's AI Suite

DataToBiz launched an Enterprise AI Control Layer integrated into its Enterprise AI Suite in June 2026, designed to address governance and accountability in production-grade enterprise AI deployments, the FinancialContent Business Page reported. In July 2026, the same outlet reported the company's shift toward Lean AI architecture, prioritising smaller, task-specific models and optimised data pipelines over large general-purpose foundation models. In October 2026, the FinancialContent Business Page reported that DataToBiz had been granted OpenAI Select Partner status, enabling official AI consulting and agent development projects.

## Companies in this story

- [DataToBiz company profile](https://akta.pro/company-profiles/0009mmu/datatobiz) · website: https://www.datatobiz.com

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