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Deloitte Introduces ReadyAI Artificial Intelligence-as-a-Service Solution

Deloitte introduced ReadyAI, a full portfolio of capabilities and services to help organizations accelerate and scale their artificial intelligence (AI) projects.

ReadyAI brings together skilled AI specialists and managed services in a flexible AI-as-a-service model designed to help clients scale AI throughout their organizations.

With Deloitte's ReadyAI, organizations now have access to the services, technology and expertise they need to accelerate their AI journey.

"In the Age of With™, human and machine collaboration is taking organizations to new heights. While AI adoption is accelerating, many organizations struggle to scale their AI projects," said Nitin Mittal, AI co-leader and principal, Deloitte Consulting LLP. "ReadyAI provides the flexible and scalable capabilities that these companies need to successfully become AI-fueled organizations."

ReadyAI offers comprehensive service capabilities including:

- Data preparation: Provide data extraction, wrangling and standardization services. Also supports advanced analytical model development through feature engineering.

- Insights and visualization: Design and generate reports and visual dashboards utilizing data output from automations to improve business outcomes and automation performance.

- Advanced analytics: Data analysis for both structured and unstructured data. Creation of rule-based bots and insights-as-a-service.

- Machine learning and deep learning: ML and deep learning model development. Video and text analytics to assist conversational AI.

- Machine learning deployment: Create deployment architecture and pipelines for upstream and downstream integration of ML models.

- Model management and MLOps: Management of model performance, migration and maintenance. Automation of model monitoring process and overall DevOps for machine learning.

"The promise of AI lies in its deployment at scale in a fair, ethical and trustworthy fashion," said Rohit Tandon, GM for ReadyAI and managing director, Deloitte Consulting LLP. "ReadyAI helps clients take AI all the way from labs and pilot programs to real-life business integration and adoption."

With a talent pool of more than 3,100 AI professionals, Deloitte can assemble teams that have the right combination of industry, domain and AI technology skills to best suit clients' needs. These experts include cloud engineers, data scientists, data architects, technology and application engineers, business and domain specialists, and visualization and design specialists. By leveraging the right combination of skills, organizations can quickly accelerate their AI journey.

ReadyAI teams operate as an extension of clients' teams often for engagements of six months or more. Services are available as a flexible, subscription model, allowing clients to scale resources and capabilities up or down based on business needs and priorities.

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Deloitte Introduces ReadyAI Artificial Intelligence-as-a-Service Solution

Deloitte introduced ReadyAI, a full portfolio of capabilities and services to help organizations accelerate and scale their artificial intelligence (AI) projects.

ReadyAI brings together skilled AI specialists and managed services in a flexible AI-as-a-service model designed to help clients scale AI throughout their organizations.

With Deloitte's ReadyAI, organizations now have access to the services, technology and expertise they need to accelerate their AI journey.

"In the Age of With™, human and machine collaboration is taking organizations to new heights. While AI adoption is accelerating, many organizations struggle to scale their AI projects," said Nitin Mittal, AI co-leader and principal, Deloitte Consulting LLP. "ReadyAI provides the flexible and scalable capabilities that these companies need to successfully become AI-fueled organizations."

ReadyAI offers comprehensive service capabilities including:

- Data preparation: Provide data extraction, wrangling and standardization services. Also supports advanced analytical model development through feature engineering.

- Insights and visualization: Design and generate reports and visual dashboards utilizing data output from automations to improve business outcomes and automation performance.

- Advanced analytics: Data analysis for both structured and unstructured data. Creation of rule-based bots and insights-as-a-service.

- Machine learning and deep learning: ML and deep learning model development. Video and text analytics to assist conversational AI.

- Machine learning deployment: Create deployment architecture and pipelines for upstream and downstream integration of ML models.

- Model management and MLOps: Management of model performance, migration and maintenance. Automation of model monitoring process and overall DevOps for machine learning.

"The promise of AI lies in its deployment at scale in a fair, ethical and trustworthy fashion," said Rohit Tandon, GM for ReadyAI and managing director, Deloitte Consulting LLP. "ReadyAI helps clients take AI all the way from labs and pilot programs to real-life business integration and adoption."

With a talent pool of more than 3,100 AI professionals, Deloitte can assemble teams that have the right combination of industry, domain and AI technology skills to best suit clients' needs. These experts include cloud engineers, data scientists, data architects, technology and application engineers, business and domain specialists, and visualization and design specialists. By leveraging the right combination of skills, organizations can quickly accelerate their AI journey.

ReadyAI teams operate as an extension of clients' teams often for engagements of six months or more. Services are available as a flexible, subscription model, allowing clients to scale resources and capabilities up or down based on business needs and priorities.

The Latest

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

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Azul

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...