What Happens When You Ask AI to Clean Your Data, Build Workflows, and Cut Costs—It’s Done in Minutes

by / ⠀AI / June 30, 2025
What Happens When You Ask AI to Clean Your Data, Build Workflows, and Cut Costs—It’s Done in Minutes
What Happens When You Ask AI to Clean Your Data, Build Workflows, and Cut Costs—It’s Done in Minutes
Last week, New York-based startup Emergence AI unveiled its new AI platform, CRAFT, and it is already being hailed as a major advancement in enterprise automation. At a time when companies are drowning in fragmented data and struggling with talent shortages in data engineering, CRAFT offers a radical alternative: intelligent, self-improving agent systems that can be deployed using natural language. An acronym for “Create, Remember, Assemble, Fine-tune, and Trust,” CRAFT enables non-technical users to orchestrate sophisticated data workflows with a simple sentence. Executives and analysts can now direct swarms of autonomous agents to clean datasets, migrate schemas, build machine learning models, and surface insights—without writing a single line of code. Emergence AI refers to this paradigm shift as “Agent Crafting.” Unlike traditional robotic process automation (RPA), which automates repetitive tasks through static rules, CRAFT’s agents are dynamic: they reason, adapt, and can even generate new agents on the fly to meet evolving needs. In doing so, Emergence is shifting enterprise AI away from static dashboards and toward real-time, autonomous decision-making.

Emergence AI

From Fragile Scripts to Autonomous Systems

Enterprise data pipelines have long depended on brittle scripts, costly integrations, and overburdened engineering teams. CRAFT significantly minimizes reliance on that layer. By enabling agent swarms to operate at conversational speed, the platform replaces manual workflows with fully autonomous systems capable of building and governing themselves. This leap is powered by their architecture called Agents Creating Agents (ACA). Unlike conventional tools that follow hardcoded instructions, ACA allows AI agents to dynamically build, test, and optimize new agents in response to business goals, drastically reducing development cycles, cutting overhead, and accelerating deployment timelines.
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“CRAFT brings the intelligence and flexibility needed to compress weeks of work into minutes,” said Satya Nitta, CEO and Co-founder of Emergence AI. “Enterprises can now handle machine-scale data faster, more efficiently, and at significantly lower cost.”

Real Results Already Transforming Industries

The value added by the CRAFT platform is evident in its diverse applications across various industries. For example, Emergence is partnering with NI/Emerson to bring CRAFT-driven data analysis to hundreds of gigabytes of data, improving chip yield for semiconductor companies.   “Previously, by the time manual analysis was complete, the next production batch was underway, limiting timely action,” said Eran Rousseau, VP & Fellow of Business Development and Strategic Partnership of NI/Emerson. “With CRAFT, we gain real-time insights aligned with complex test workflows, enabling smart automation to improve yields and detect issues quickly. Integrated with NI’s O+ solution, CRAFT AI generates insights that translate into immediate actions, enabling customers to focus on solving critical challenges rather than spending time on lengthy reports. This represents the future of semiconductor operations.” Other industries are seeing similar breakthroughs. A global telecom provider cut data governance and compliance workloads by 70%, accelerating regulatory efficiency and innovation. For a consumer platform serving 150 million users, CRAFT removes over 60 million unsafe images each month to boost safety and trust for every user. These outcomes didn’t require new infrastructure, new teams, or long IT overhauls. The companies simply described their goals in natural language, and CRAFT’s agents took care of the rest.

Turning Billable Hours into Reusable Software

Emergence AI is also challenging the economics of traditional enterprise IT. Rather than pouring budget into custom integrations, billable developer hours, and one-off tools, companies can now invest in reusable, scalable agentic workflows.
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“This approach transforms billable hours into reusable software,” said Nitta. We’re “bending the enterprise cost curve and freeing integrators to pursue higher-margin transformation work.” As industries like telecom, finance, and energy adopt platforms like CRAFT, the ripple effects could reach consumers directly through faster services, lower costs, and more innovative experiences. For enterprises, the pitch is simple: automate the routine, reinvest in what moves the needle.

Built for Trust, Transparency, and Adaptability

While speed and automation grab headlines, CRAFT’s real power may lie in how it balances intelligence with control. The platform is designed with enterprise-grade governance at its core—from memory modules that retain context across sessions to an integrated Agent Registry that enables teams to reuse and scale high-performing workflows. CRAFT also includes built-in safeguards, such as role-based access controls, audit logging, and human-in-the-loop oversight, which ensure the system meets the compliance demands of regulated industries like finance and healthcare. For Emergence AI, these act more as a blueprint and less as constraints. “Enterprise constraints—regulatory, structural, procedural—are no longer blockers for adopting AI,” said Nitta. “They’re scaffolds for building more intelligent agents.”

A Bold Step Toward an Autonomous Future

More than a product launch, CRAFT represents a milestone in Emergence AI’s long-term vision: a world where autonomous, self-improving systems handle the operational heavy lifting, and business leaders become the architects of intelligent workflows—no coding required. In the short term, CRAFT is already delivering time and cost savings through simple, natural-language commands. In the long term, it could redefine how work gets done. The once-distant idea of intelligent systems managing complex data tasks is becoming standard practice. Whether we are ready or not, the autonomous enterprise has arrived.

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About The Author

Brianna Kamienski is a highly-educated marketing writer with 4 degrees from Syracuse University. With a comprehensive understanding of communication theory, she's able to craft meaningful work that conveys what clients want to say to their clients. Brianna is the proud mother of two boys, Chase and Cooper.

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