Case studies
Case study 1: Inefficient hiring process at tech company
Situation
The hiring process at our client was slow for all candidates given the resource constraints. This resulted in a situation where a high priority candidate that was frustrated with the process took a role at another company even when the team knew they wanted to hire them.
What Lighty AI did
Lighty ingested data and mapped hiring workflow from the unstructured data including emails, Slack conversations and Google Calendar. The insight engine flagged 3+ day delays for all candidates. The client added a priority treatment workflow for high-value candidates so these candidates get moved to the top of the list for interview scheduling. The client also deployed the exec admin agent by Lighty to help with delays in scheduling meetings.
Outcome
The client reduced the time to hire by 5 business days and increased the throughput for candidate scheduling from an average of 1.5 days to minutes.
Case study 2: Bad invoicing at operations management company
Situation
Through the past few years, the client had negotiated vastly disparate contracts with their customers. When performing work at the customer site, the client did not bill appropriately all the items they were contractually able to invoice, resulting in missed revenue opportunities.
What Lighty AI did
Lighty analyzed and learned contracts signed by the client and helped identify multiple billing opportunities. It also identified a more efficient method for processing invoices.
Outcome
The client was able to bill additional items based on the unique contracts with each of their customers, increasing their revenue per customer engagement by 12%. They also were able to reduce the invoicing period by an average of 19 business days.
Case study 3: Unclear ROI of B2B marketing campaigns
Situation
Outbound campaigns the client had negotiated vastly disparate contracts with their customers. When performing work at the customer site, the client did not bill appropriately all the items they were contractually able to invoice, resulting in missed revenue opportunities.
What Lighty AI did
Lighty analyzed historic creative (images) and messaging campaigns and surfaced the patterns that were responsible for driving a successful outreach.
Outcome
The client was able to start using the winning messaging that drove clear ROI. They were also able to improve the focus of their upcoming campaigns.
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