PodcastsRank #21332
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Credit Shift

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Welcome to Credit Shift, the podcast that dives into the challenges and opportunities, tools, and strategies shaping the world of credit, digital debt collection, and digital transformation. Brought to you by Aryza.com, Credit Shift explores key industry trends and innovations, featuring insights from Aryza experts and industry leaders. Whether you're navigating AI in credit and collections, customer engagement strategies, or the future of digital debt collection, this podcast is your go-to resource for staying ahead.
Top 42.7% by pitch volume (Rank #21332 of 50,000)Data updated Feb 10, 2026

Key Facts

Publishes
Daily or near-daily
Episodes
49
Founded
N/A
Category
Technology
Number of listeners
Private
Hidden on public pages

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Public snapshot
Audience: Under 4K / month
Canonical: https://podpitch.com/podcasts/credit-shift
Cadence: Dormant
Reply rate: Under 2%

Latest Episodes

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NatWest's AI Agent Development: A Look Behind the Scenes

Thu May 08 2025

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Chris Booth, the product owner for NatWest Group's AI assistant Cora, discusses the accessibility work NatWest has been doing and the journey of improving their conversational AI. NatWest started by building their own front-end chat interface to make Cora more accessible and usable, allowing users to control such aspects as font size and typing speed. They are now also exploring dynamic interfaces and voice for accessibility to create a more fluid and conversational experience. Chris talks about the challenges of using large language models in customer-facing environments and he further explores the concept of language models and their role in AI systems. The speakers go on to discuss the use of prompting in language models and the need for tools to control and assure the quality of the prompt and response. The conversation then looks into the validation and oversight of AI systems and the speakers discuss the limitations and boundaries of LLMs and the potential impact of multimodal inputs. Takeaways NatWest has built their own front-end chat interface to make their AI assistant, Cora, more accessible and usable. Using large language models in customer-facing environments requires careful governance and risk management. There is potential for creating a trans-organisational repository of conversational content to improve customer experiences. Personalised experiences are a key focus for NatWest, and they are exploring ways to leverage AI to provide personalised financial guidance. Version control is a challenge in AI systems and the use of smaller, more focused models can help address this issue. Understanding the limitations and boundaries of language models is important when building an AI assistant. Multimodal inputs have the potential to greatly impact the capabilities of language models. Agencies, startups, and small businesses can focus on fine-tuning and RAG stages to stay competitive in the AI space. Sound Bites "We had big ambitions on making Cora far more accessible and usable." "We're doing really early stages exploring with mobile. How do we create a much more dynamic, flexible interface?" "We're using it in a lot of ways at the moment. And I think what's so fun and interesting being with Cora and retail is we have by far the highest bar of governance and risk standards." "Multiple small models or tiny models will actually allow you to control because you can keep them small, you can keep them local and they'll do the job for you." Chapters 00:00 Introduction to Chris Booth 06:50 The Journey to LLMs 14:53 The Idea of Artificial Sentience 35:19 Understanding the Limitations and Boundaries of Language Models 41:31 The Importance of Continuous Analysis and Fit For more: Webio: https://webio.com Optima Partners: https://optimapartners.co.uk/ NatWest Group: https://www.natwestgroup.com/

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Chris Booth, the product owner for NatWest Group's AI assistant Cora, discusses the accessibility work NatWest has been doing and the journey of improving their conversational AI. NatWest started by building their own front-end chat interface to make Cora more accessible and usable, allowing users to control such aspects as font size and typing speed. They are now also exploring dynamic interfaces and voice for accessibility to create a more fluid and conversational experience. Chris talks about the challenges of using large language models in customer-facing environments and he further explores the concept of language models and their role in AI systems. The speakers go on to discuss the use of prompting in language models and the need for tools to control and assure the quality of the prompt and response. The conversation then looks into the validation and oversight of AI systems and the speakers discuss the limitations and boundaries of LLMs and the potential impact of multimodal inputs. Takeaways NatWest has built their own front-end chat interface to make their AI assistant, Cora, more accessible and usable. Using large language models in customer-facing environments requires careful governance and risk management. There is potential for creating a trans-organisational repository of conversational content to improve customer experiences. Personalised experiences are a key focus for NatWest, and they are exploring ways to leverage AI to provide personalised financial guidance. Version control is a challenge in AI systems and the use of smaller, more focused models can help address this issue. Understanding the limitations and boundaries of language models is important when building an AI assistant. Multimodal inputs have the potential to greatly impact the capabilities of language models. Agencies, startups, and small businesses can focus on fine-tuning and RAG stages to stay competitive in the AI space. Sound Bites "We had big ambitions on making Cora far more accessible and usable." "We're doing really early stages exploring with mobile. How do we create a much more dynamic, flexible interface?" "We're using it in a lot of ways at the moment. And I think what's so fun and interesting being with Cora and retail is we have by far the highest bar of governance and risk standards." "Multiple small models or tiny models will actually allow you to control because you can keep them small, you can keep them local and they'll do the job for you." Chapters 00:00 Introduction to Chris Booth 06:50 The Journey to LLMs 14:53 The Idea of Artificial Sentience 35:19 Understanding the Limitations and Boundaries of Language Models 41:31 The Importance of Continuous Analysis and Fit For more: Webio: https://webio.com Optima Partners: https://optimapartners.co.uk/ NatWest Group: https://www.natwestgroup.com/

Key Metrics

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Pitches sent
16
From PodPitch users
Rank
#21332
Top 42.7% by pitch volume (Rank #21332 of 50,000)
Average rating
N/A
Ratings count may be unavailable
Reviews
N/A
Written reviews (when available)
Publish cadence
Daily or near-daily
Dormant
Episode count
49
Data updated
Feb 10, 2026
Social followers
146

Public Snapshot

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Country
Ireland
Language
English
Language (ISO)
Release cadence
Daily or near-daily
Latest episode date
Thu May 08 2025

Audience & Outreach (Public)

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Audience range
Under 4K / month
Public band
Reply rate band
Under 2%
Public band
Response time band
1–2 days
Public band
Replies received
1–5
Public band

Public ranges are rounded for privacy. Unlock the full report for exact values.

Presence & Signals

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Social followers
146
Contact available
Yes
Masked on public pages
Sponsors detected
Private
Hidden on public pages
Guest format
Private
Hidden on public pages

Social links

No public profiles listed.

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Audience & Growth
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Monthly listeners49,360
Reply rate18.2%
Avg response4.1 days
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Sponsor mentionsLikely
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Frequently Asked Questions About Credit Shift

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What is Credit Shift about?

Welcome to Credit Shift, the podcast that dives into the challenges and opportunities, tools, and strategies shaping the world of credit, digital debt collection, and digital transformation. Brought to you by Aryza.com, Credit Shift explores key industry trends and innovations, featuring insights from Aryza experts and industry leaders. Whether you're navigating AI in credit and collections, customer engagement strategies, or the future of digital debt collection, this podcast is your go-to resource for staying ahead.

How often does Credit Shift publish new episodes?

Daily or near-daily

How many listeners does Credit Shift get?

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