As production teams grapple with increasing content demands and stricter deadlines, the recently launched MakeOS aims to revolutionize their workflow. Developed by Makers, the AI-powered workspace is tailored specifically for production teams, ranging from freelancers to agency staff and in-house creatives.

MakeOS consolidates essential functions into a single platform, eliminating the need for spreadsheets and disparate tools. It streamlines project scoping, planning, scheduling, budget tracking, team collaboration, and vendor management, allowing teams to transition from brief to actionable plans within minutes. By leveraging AI, MakeOS interprets information from various communication channels, generating summarized briefs, initial budgets, draft schedules, and organized deliverables, thereby significantly reducing administrative burdens.

Reflecting on the inadequacies of existing software like ERPs, which are often designed for finance teams rather than producers, Sumit Ajwani, the founder of Makers and now MakeOS, highlights how the platform evolved from internal tools. Its features have been battle-tested across over 1,000 projects, ensuring they are practical and effective for real-world production environments.

Moreover, MakeOS addresses the challenge of managing large project volumes by supporting collaboration with external partners and incorporating AI-assisted invoicing tools that organize financial aspects seamlessly. This reduces manual tasks for producers and streamlines end-of-job accounting.

By launching with a subscription model and a free version for solo producers, MakeOS aims to elevate the production process, enhancing efficiency and collaboration throughout the industry. Sumit Ajwani's vision is clear: to empower producers with better tools, making their work more efficient and effective, thereby benefitting everyone involved in the production ecosystem.

Agentic AI in the Enterprise: How Oracle Is Powering the Next Wave of Autonomous Business

January 22, 2026

By Abdul Rafae Mohammed and Aby Joy

A New Era of AI-Driven Work Has Begun

Agentic AI marks a significant advancement in artificial intelligence, enabling tasks beyond conventional automation. Unlike traditional AI, which primarily predicts outcomes, Agentic AI plans, reasons, and carries out actions autonomously across various business functions such as ERP, supply chain, and finance, leading to transformative benefits for businesses.

Concrete applications of Agentic AI are already making waves in sectors like manufacturing and logistics. By streamlining workflows and reducing cycle times, organizations minimize errors and make smarter decisions. For example, manufacturers can implement Agentic AI to autonomously manage service contract renewals or update supplier records, drastically cutting down on manual input and error rates.

Key capabilities of Agentic AI include its ability to create multi-step plans, autonomously select tools (like APIs and CRM calls), and learn from outcomes. This enables it to function as a collaborative work partner that automates complex business processes from start to finish. Components such as planning engines, real-time retrievers, and orchestration systems ensure that tasks are performed efficiently and with traceability.

Oracle’s strategy places Agentic AI at the core of its offerings. By integrating AI directly into its comprehensive suite—including databases and applications—Oracle empowers organizations to leverage AI for seamless, goal-driven automation. This approach not only enhances operational performance but also provides trusted, real-time data for informed decision-making.

In summary, Oracle's Agentic AI redefines enterprise operations, transitioning them from manual processes to intelligent, autonomous workflows, ensuring significant improvements in speed, accuracy, and decision-making capabilities for businesses adopting these innovations.

Snippfy is an innovative AI-driven automation platform that enhances software development by minimizing repetitive tasks. By linking with task management systems like Jira and Trello, Snippfy efficiently pulls tickets and requirements, facilitating a smoother workflow. With its advanced AI coding agents, the tool can generate production-ready code and create pull requests, all while allowing developers to maintain oversight and control over the final outputs.

By automating routine coding tasks, Snippfy significantly boosts development efficiency, enabling engineers to concentrate on higher-level problem-solving and architectural decisions. The platform embodies key trends in developer tooling, such as workflow integration and AI-assisted coding, which contribute to expedited release cycles. Consequently, it illustrates how automation can be seamlessly incorporated into established processes to enhance productivity, mitigate bottlenecks, and promote scalable software delivery without compromising human supervision.

Concrete Applications and Benefits:

1. AI-assisted Coding - Snippfy automates everyday coding tasks, streamlining the software development process and enhancing overall efficiency.
2. Workflow Integration - By connecting with existing tools like Jira and Trello, Snippfy fosters a more fluid development process, reducing time wasted on task management.
3. Faster Release Cycles - The platform accelerates software release cycles, addressing the demand for quicker deployment through its automation capabilities.

Industry Implications:

1. Software Development - AI platforms like Snippfy are revolutionizing the industry by automating coding tasks and optimizing workflows.
2. Task Management Software - Innovations within task management software are emerging through integrations with AI, creating more effective workflow solutions.
3. AI Technology - The AI sector is advancing with platforms designed to enhance coding and development efficiency, reinforcing its critical role in modernizing software workflows.

Reckitt, a leading player in home and consumer health care, is leveraging AI to revolutionize its Revenue Growth Management (RGM) approach amidst challenges like margin pressures and competition. Traditionally reactive in its strategy, the company recognized an opportunity to harness AI for predictive, proactive, and data-driven decision-making, shifting from individual judgment to a cohesive, technology-empowered framework.

Collaborating with McKinsey, Reckitt launched the RGMx tool suite, enhancing its commercial planning capabilities in key markets such as the U.S., U.K., and Germany. This enabled robust scenario analyses, allowing leaders to evaluate multiple pricing and promotion strategies with unprecedented speed and granularity. The ability to run simulations of “what if” scenarios empowered Reckitt to make informed decisions, leading to improved pricing strategies, stronger profit margins, and enhanced customer experiences.

AI's integration did not only increase efficiency; it transformed Reckitt's strategic approach. By understanding category dynamics and consumer behavior more thoroughly, Reckitt utilized RGMx insights to influence brand strategies and product positioning, steering its offerings towards total market growth rather than solely increasing market share.

Notably, Reckitt emphasized building a culture around data and analytics through comprehensive training and processes that embed these tools into daily operations. RGMx thus became integral rather than an ancillary tool, promoting collaboration across teams.

Since its initiation, the platforms have achieved measurable success with rising profitability and greater collaboration among teams. Moving forward, Reckitt aims to deepen its AI capabilities, creating a more integrated ecosystem that enhances strategic decision-making and maintains its competitive edge in the marketplace.