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Tech Bets: Better planning for uncertainty.
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Example: AI-Led Automation

An AI chatbot to improve support response time and margins.
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Bet details

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AI-Led Automation

Horizon:
Horizon 2
Status:
1. Pitching
DRI:
@Rhonda Ellis
Decision makers:
@Lola Tseudonym
Stakeholders:
@Milo Jarvis
@Louis Milner
@Mila Tunis
Subscriber count:
9
PPR meetings for this bet:
@5/6/2024
@10/17/2024
Edit

1. The opportunity

Service Center Automation
Initial scope is for chat; followed by calls
Dependencies are on alpha partners
Costs & Schedule
xxx
Benefits - higher margin
Risk - new LLM tech

2. Our strategy

DRI identified
Tooling - Vertex AI for LLMs
Risk mitigation - Start with in-house service center reps
Quality guardrails - Humans in the loop
Metrics - Call volume reduction & Margin improvement
Exit criteria -xxx

3. Next steps

Initial Milestones -xxx
Pivot / Persevere criteria
Resourcing -xxx

Done reading

+2

How do you feel about this tech bet?

5
sentiments added.
Sentiment
Recommendation
Reflection
Author
Your role
1
Fund
I think this bet will work, we just need to understand the tech deeply before we ship it.
Lola Tseudonym
Decision maker
2
Don't fund
I’m a bit skeptical our users will want this.
Louis Milner
Stakeholder
3
Fund
This is the future! Let’s do it!
Rhonda Ellis
DRI
4
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 👍
Mila Tunis
Stakeholder
5
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.
Milo Jarvis
Stakeholder
There are no rows in this table

Topics for discussion

Idea
Author
Upvote
Notes
Done
1
What are the best leading indicators for this bet?
Lola Tseudonym
Open
2
Do we have enough resourcing?
Mila Tunis
Open
3
Which models will we use?
Louis Milner
Open
There are no rows in this table
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