From AI opportunities
to practical adoption.
Common Sense AI helps a major player in the banking sector identify worthwhile AI initiatives, guide proofs of concept and support employees in using AI—within the bank’s governance framework.
Banking sector · AI strategy, governance & adoption
The challenge
AI opportunities emerge across different teams, processes and business needs. Deciding which ones deserve attention requires more than technical potential.
The bank needs to connect business priorities with AI expertise, assess feasibility and impact, and help employees adopt useful solutions. Each initiative also needs to fit the bank’s AI governance and regulatory context.
The solution
We work between business teams, central AI specialists and governance stakeholders, supporting initiatives from the first conversation through experimentation and adoption.
Our work includes:
- Finding and prioritising opportunities. Analyse processes and needs, identify potential applications and assess their feasibility and business impact.
- Turning ideas into experiments. Help teams shape proofs of concept and pilots around a clear business question.
- Connecting business and AI expertise. Translate business needs into concrete use cases and technical possibilities into practical proposals.
- Bringing governance into the work. Help teams align initiatives with the bank’s AI governance framework.
- Supporting everyday adoption. Run workshops, training and hands-on sessions around tools such as Copilot, using prompting techniques and examples drawn from employees’ work.
The engagement also provides a sounding board for broader questions around agentic AI, integration and technical choices.
The result
Business priorities, technical feasibility, governance and adoption are addressed together. Teams have support in deciding what to explore, how to test it and how to bring employees along—connecting AI ambition to practical next steps.