How Workera Scaled Personalized Outbound Across Enterprise Accounts with 11x

Telling a new category's story at scale was impossible manually

Workera operates in a category it's actively creating. Verified skills intelligence isn't a neatly defined market, and the buyers they need to reach are enterprise HR and Learning and Development (L&D) leaders who are still warming up to a new way of thinking about their workforce. In that context, every outbound touchpoint has to carry weight, and generic sequences with swapped company names simply don't land.

Before Alice, the SDR team was utilizing AI to augment their research and messaging writing capability, but the process was time intensive.  For a lean team trying to tell a nuanced story at scale, the manual process created a hard ceiling on how far they could reach.

A lean team couldn't act on signals fast enough

Workera's GTM motion is built on engagement signals. Clicks, opens, and content interactions tell the team which accounts are warming up and who deserves immediate follow-up. Without a way to capture those signals at volume, the scoring model that drives their entire prioritization had nothing to work with, and the team could only move as fast as they could manually execute.

"We looked at a lot of different providers and 11x was moving the fastest with the best output. What's made it even better is watching the product grow over the past year. It feels like we're actually having an impact on what gets built."

Building a signal-led outbound engine with Alice at the center

Workera implemented Alice as the foundation of their outbound motion, not as a replacement for their team but as the infrastructure that makes the whole system work. John, alongside AI Growth Engineer Kiran Mayi Hari Babu, built what they call a growth engineering function, with Alice running awareness and cold outbound at the top of the funnel, signals feeding targeted follow-up from a human dialer, and the whole loop operating faster than anything manual could support.

Alice as the net: awareness and cold outbound at scale

Alice runs Workera's cold outbound campaigns across target enterprise accounts, sourcing contacts, conducting research, and building personalized sequences that reflect Workera's specific message. Rather than generic copy with a swapped company name, every message is built to resonate with the individual HR leaders and L&D managers at companies navigating workforce transformation.

Workera uses template mode with link-based sequences to generate the engagement signals that feed directly into their scoring model, giving the team a clear, data-driven picture of where to focus their energy.

From signal to outbound in under 30 minutes

When a rep flags a target account showing intent, Workera can pull contacts from Salesforce, build a sequence, and launch in under 30 minutes. What used to require hours of SDR research and setup now happens before the next standup, giving the team a significant speed advantage.

"We can hear signals from our frontline team and act quickly to spread that reach. That speed just wasn't possible before."

A tighter loop between outbound and human follow-up

Alice warms the accounts and surfaces the right people through engagement signals, and a dedicated dialer follows up on the leads she has identified. This means human effort goes where it matters most: into conversations with prospects already showing interest, rather than into research and sequencing.

This shift also gave Workera the flexibility to move existing SDR headcount into higher-value roles, including a mid-market AE position and a campaign manager role the business was ready to invest in.

Kiran joined the team in November and had full ownership of Alice within weeks. She describes the onboarding as fast and friction-free. The platform was intuitive enough to pick up quickly, and the first positive reply that came back she described felt like “an early Christmas present,” proof that the messaging was landing with the right people.

"The tool is very intuitive, I found my way around within weeks. Flexibility of the platform also really stood out. If you want Alice to do it, she does. If you want to do it yourself, you can. That balance is hard to find."

A lean team running enterprise outbound at scale

Workera built a GTM motion where a two-person AI ops team runs enterprise outbound at a volume that previously required a full SDR function. Alice handles the reach, signals drive the prioritization, and the team stays focused on what moves deals forward.

With their outbound motion now systematized, John and Kiran are focused on expanding coverage across new verticals and continuing to refine their scoring model as Alice generates more signal data.

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