According to a recent LinkedIn post from Lorikeet, the company is using its channel to spotlight Stream, a firm that has reportedly developed an in‑house AI support agent resolving around 80% of customer tickets. The post centers on an episode of Lorikeet’s podcast, The Squawk, featuring Stream’s CPO and CTO, Nick Rogers.
Meet Samuel – Your Personal Investing Prophet
- Start a conversation with TipRanks’ trusted, data-backed investment intelligence
- Ask Samuel about stocks, your portfolio, or the market and get instant, personalized insights in seconds
The LinkedIn post highlights several discussion themes, including the argument that most firms may not be well positioned to self‑build AI support agents and the importance of timing model capabilities to reach production readiness. It also points to insights on lean engineering teams, model benchmarking, and the evolving role of customer experience as a “knowledge engineering” discipline in an AI context.
For investors, the content suggests Lorikeet is positioning itself as a thought leader around AI in customer experience rather than promoting a specific product release or transaction. This emphasis on expert dialogue and case studies could help deepen engagement with prospective enterprise customers and partners, potentially supporting longer‑term brand equity in the CX and AI tooling segments.
The focus on successful in‑house automation at Stream may also signal where Lorikeet sees durable demand: AI systems that materially reduce support workloads. While the post itself does not provide financial metrics or commercial details, the thematic emphasis on efficiency, lean teams, and AI‑driven CX transformation aligns with broader enterprise spending priorities, which may be supportive for Lorikeet’s market positioning if it offers related solutions or advisory services.