What If Behind Every Successful Fortune 500 Executive Is An AI ‘Super Agent’?
Executives are challenged to make timely business decisions every day, and their ability to rise to the challenge can create cascading business impacts.
Since nearly every business decision amounts to a trade-off with pros and cons, making the call requires time, resources and access to necessary data from different systems across a company. J.P. Morgan estimates a pricing decision in a large company can take three months.
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By the time a decision is made, the market could have completely changed.
A tech company has been quietly working with some Fortune 500 companies to change that by using AI that can weigh trade-offs and recommend the best outcome across business functions such as sales and finance, without requiring a single prompt.
Aily Labs, backed by J.P. Morgan among other investors, is using an autonomous AI that is specifically trained on a large enterprise's data to make decisions faster. It's what the startup calls decision intelligence, an AI-powered app at the fingertips of any forward-thinking executive .
"Think about Aily like a decision advisor in your pocket who runs 100,000 scenarios in the background and will basically bring you an optimal scenario you have to act on," Bianca Anghelina, founder and CEO of Aily Labs, told Sourcing Journal. Whereas other AIs require prompts, this one doesn't.
The fashion industry can benefit from this speed, especially given how sensitive the business is to changing trends. A brand can spend months creating seasonal inventory only to end up with overstock due to poor demand projection, or find itself unable to capture a spike in demand for an unexpected bestseller. Anghelina said this can be avoided with Aily, which will use AI to help point to where demand is headed based on signals such as search behavior and social trends. When early demand signals can be turned into forecasts with greater confidence, brands will have enough time to redeploy inventory, adjust allocations or respond to potential out-of-stock risk, she added. A French luxury house that used Aily, for example, saw its sell-through rate increase by several points.
The same principle applies in the manufacturing side of fashion, too. "If you can identify the likelihood of equipment downtime or deteriorating site performance before it becomes a larger issue, teams have an opportunity to intervene," she said. "The value of AI is not simply getting information faster. It is identifying a risk or opportunity early enough that the business can still change the outcome."
Over the past few months, Aily Labs has been expanding its reach with strategic partnerships with Google Cloud Marketplace and Amazon Web Services, which gives large companies access to Aily's Super Agent that independently coordinates with thousands of specialized AI agents across finance, supply chain, manufacturing, R&D, and commercial operations. Anghelina did not disclose the names of its clients, although its website cited pharmaceutical company Sanofi as case study.
Like all good AI, Aily needs good data. In the case of large legacy companies, data often exists in separate fragments that are spread across different departments in the organization. Moreover, these data sets come in different qualities, with some departments having AI use cases and dashboards that don't necessarily scale company wide. Aily has its own system that essentially maps out how AI-ready a company is then work from there. "Long story short, data will never be perfect," Anghelina said.
"That means companies do not necessarily need to rebuild their data infrastructure before they can start creating value with AI," she added. What matters is connecting the right data for a specific business decision and giving it the necessary business context."
Part of Aily's job is to connect those fragmented parts into data that the AI can use. But a huge part of Aily's success hinges on C-suite support. The more executives use the AI, the more it improves. It's an intuitive, mobile -first app that anyone can operate, Anghelina said. "I would say it's as simple as Instagram for business."
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