#SuccessStories - Framing Halo : How Sia Helped Crédit Agricole Turn Its Conversational AI Ambition into a Governed Roadmap
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September 17, 2026

#SuccessStories - Framing Halo : How Sia Helped Crédit Agricole Turn Its Conversational AI Ambition into a Governed Roadmap

1. Context


Banks see conversational AI agents as a new way to engage clients directly in their mobile apps. Turning that ambition into a product requires a shared vision, a prioritized backlog and governance across business, data and IT teams.



Crédit Agricole wanted Halo to become a conversational agent embedded in its app, starting with young clients before extending across segments and journeys.



2. Client Challenge


Crédit Agricole needed to turn a strong AI ambition into a scoped, actionable roadmap. Success depended on:



  • A shared vision of Halo's scope and priority use cases.
  • A prioritized backlog.
  • A governance model across CATS and the wider Group.


3. What Sia Did ?


Sia ran a four-step framing approach, from needs to a governed roadmap:



  • Shared vision: aligning business, data and IT stakeholders around a shared vision of Halo's scope and priority use cases.
  • Capability assessment: assessing CATS's platform capabilities against the identified needs.
  • Backlog and roadmap: structuring a prioritized backlog and a delivery roadmap with cross-entity governance.


4. Results & Outlook


Crédit Agricole gained a scoped vision and roadmap ready to guide Halo's build phase:



  • A target technical-functional vision and a prioritized set of use cases, from proactive budgeting advice to gamified financial management.

  • A capability-gap diagnosis and a governed roadmap to guide Halo into delivery.


By combining banking expertise, AI product framing and strong governance, Sia helps banks turn conversational AI ambitions into products clients will use.