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Horizon: Status: DRI: Decision makers: Stakeholders: Subscriber count: PPR meetings for this bet:
Service Center AutomationInitial scope is for chat; followed by callsDependencies are on alpha partnersCosts & SchedulexxxBenefits - higher marginRisk - new LLM tech
DRI identifiedTooling - Vertex AI for LLMsRisk mitigation - Start with in-house service center reps Quality guardrails - Humans in the loopMetrics - Call volume reduction & Margin improvementExit criteria -xxx
Initial Milestones -xxxPivot / Persevere criteriaResourcing -xxx
Example: AI-Led Automation
An AI chatbot to improve support response time and margins.
Bet details
Select your bet → AI-Led Automation
AI-Led Automation
Horizon 2
1. Pitching
@Rhonda Ellis
@Lola Tseudonym
@Milo Jarvis
@Louis Milner
@Mila Tunis
9
@5/6/2024
@10/17/2024
Edit
1. The opportunity
2. Our strategy
3. Next steps
Done reading
+2
How do you feel about this tech bet?
sentiments added.
5
Sentiment
Recommendation
Reflection
Author
Your role
Fund
I think this bet will work, we just need to understand the tech deeply before we ship it.
Decision maker
Don't fund
I’m a bit skeptical our users will want this.
Stakeholder
Fund
This is the future! Let’s do it!
DRI
Fund
Our service center is our customer’s primary interaction with the company. If we can make that experience faster and easier with AI, I’m on board 👍
Stakeholder
Fund
Overall I support this bet. I think we should pursue it. However, it will be very important to have humans in the loop as guardrails.
Stakeholder
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Topics for discussion
Idea
Author
Upvote
Notes
Done
What are the best leading indicators for this bet?
Open
Do we have enough resourcing?
Open
Which models will we use?
Open
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