Amazon Launches Agentic AI to Automate High-Volume Hiring

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Colleen Aubrey, Senior Vice President at AWS Applied AI Solutions
Amazon Connect Talent enters preview, using AI "teammates" can be used to conduct 24/7 interviews and score candidates at high scale for HR leaders

Ahead of a planned hiring spree, tech giant Amazon has launched a platform to speed up recruitment through Agentic AI.

Amazon Connect Talent has been made available in Preview to help HR leaders accelerate candidate selections at scale with AI-powered solutions. 

By utilising Amazon’s hiring expertise, Amazon Connect Talent AI agents are used to conduct structured voice interviews, administer science-backed assessments and score candidates. Interviews can also take place 24/7 on any device, allowing HR and talent leaders to save time, which they can then use for more strategic tasks. 

Once these interviews have taken place, hiring managers will review the transcripts and the candidates' scores, while also receiving detailed candidate evaluations generated by the AI agent. 

Targeting global recruitment strategies

By offering AI-led voice interviews, Amazon Connect Talent Preview provides talent leaders with adaptive questioning, a mobile-first candidate portal which is brand-customisable and a comprehensive recruiter dashboard. 

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Leaders are also equipped with system admin and onboarding tools, as well as an Applicant Tracking System (ATS) to aid quick deployment, while being flexible to hiring surges when hundreds of candidates are being reviewed.

Colleen Aubrey, Senior Vice President at AWS Applied AI Solutions, explains that Amazon Connect is expanding into a set of four agentic AI solutions: Amazon Connect Decisions, Amazon Connect Talent, Amazon Connect Customer and Amazon Connect Health, stating that these are “designed to integrate into how your teams already work, not the other way around.”

“You may already know Amazon Connect,” she said in a blog post. “It began as the technology powering Amazon's retail customer service, and we've spent years learning how to run it at scale. 

“That success taught us how to build AI solutions that work in the real world, and now we're applying those same learnings across other critical business functions where we have similar operational expertise. As part of this evolution, our original customer engagement solution, Amazon Connect, is now called Amazon Connect Customer.”

Optimising the supply chain

The launch of Amazon Connect Decisions is said to help businesses optimise supply chains while ensuring that humans stay in control.

Colleen states that most supply chain disruptions take “companies more than two weeks to resolve,” costing millions in “working capital, stockouts and penalties.” 

Amazon's new Agentic AI allows candidates can now interview on any device at any time, freeing HR teams from scheduling to focus on high-level strategy

As a result, many planning teams are often stretched thin and caught in a cycle of manual coordination. 

Instead of making informed decisions, professionals are expected to spend large portions of time navigating fragmented systems and reconciling disconnected reports to get a basic supply plan in place.

To help combat this, Amazon Connect Decisions was built on more than 25 specialised supply chain tools and 30 years of Amazon operational science. 

Amazon’s system differs from others as it requires as it is programmed to ensure the forecasting models and the AI agents do the heavy lifting – rather than requiring significant time and resources to configure.

As a result, Amazon Connect Decisions is said to “understand your business context, set up the right forecasts for each individual product, and keep everything updated as your business evolves.” 

Colleen said: “They proactively ask for information that will impact forecasts – like upcoming promotions or holidays – and factor those inputs into results.” 

This helps to provide “complete visibility and transparency into AI recommendations and decision-making,” so HR and business leaders can stay in control. 

“AI teammates continuously learn from your team's actions, translating those learnings into better planning, analysis and recommendations,” she added.