Context
BNY’s CEO Robin Vince described how the firm partnered with OpenAI to roll out “digital employees” that increase capacity instead of headcount cuts — alongside cultural changes to break down silos (TIME interview).
What works in financial services
- Augmentation, not replacement — automate the swivel‑chair work; keep humans in oversight loops
- Governance first — identity, permissions and data controls before scale
- Measurable value — target cycle‑time, error‑rate and client‑experience KPIs
Swfte’s banking starter pack
- KYC file preparation agent with checklists and approvals
- Client request triage/copilot across CRM and document stores
- First‑line ops automations (statement generation, exception handling)
Explore more use cases: Enterprise · Platform · Contact · Pricing.
Controls checklist (banking)
- Data lineage for training + inference, with retention windows
- Segmented environments (dev/stage/prod) and change approvals
- Model risk management artifacts (concept drift, bias tests)
- Human‑in‑the‑loop reviews for client‑facing outputs
Deployment playbook (6 weeks)
- Week 1: discovery + process mapping; define KPIs, guardrails
- Week 2: configure connectors (CRM, DMS), draft prompts/policies
- Week 3: sandbox agent; run red‑team tests with internal data
- Week 4: UAT with sampled requests; tune for accuracy and latency
- Week 5: staged rollout to a pilot group; instrument metrics
- Week 6: executive read‑out; expand scope or iterate
Evidence to collect for compliance
- Traces of end‑to‑end runs with decision rationales
- Sample outputs and reviewer notes
- Exceptions/escalations and time‑to‑resolution
Posted oncase-studywith tags: