About 14,000 Citi engineers use an agentic coding tool (Devin), per The National CIO Review. Citi reported technology vendor spending down 30% year over year and a 30%-40% improvement in product launch speed as more development moved in-house.
Reported outcomes
Outcomes are reported exactly as stated by the source; we have not independently audited them.
How it works
- Engineers delegate development tasks to the Devin agent.
- More work done internally instead of by external vendors.
Risks & compliance
- Code quality and security review of agent output
- Attribution: vendor-spend and launch-speed changes have multiple causes
Editor's notes
- Outcomes are company-reported in earnings commentary and relayed by an independent publication.
Tools mentioned & how to build it
Disclosure: Some links may earn us a commission; it never affects grades. Tools are listed by fit to this case, never by payment.
Tools mentioned
- Devin (Cognition)
Autonomous AI software engineer from Cognition.
Build a version yourself
- n8n
Open-source workflow automation with AI agent nodes; self-host or cloud. - Relevance AI
Build an 'AI workforce' of agents, e.g. BDR agents that research and book meetings.
Sources
“Approximately 14,000 Citi engineers are using an agentic coding tool, helping the bank launch products faster and bring more development work in-house.”How Citi and Bank of America Are Measuring AI's Payoff
Grade rationale: Named organization with a quantified outcome reported by an independent source. Automated check on Oct 17, 2026: 1/1 quotes and 3/3 outcome claims matched the source. Compiled by the Agent Casefile research desk (AI-assisted; see methodology). Spot an error? Request a correction.
