Bank of America Launches AskGPS, an In-House AI Assistant Turning Institutional Knowledge into Real-Time Answers
Bank of America launches AskGPS, an in-house AI for Global Payments that speeds answers from internal sources. Expect faster turnarounds, consistency, and stronger client results.

Bank of America Launches AskGPS for Global Payments: Generative AI That Cuts Response Time and Lifts Client Service
Bank of America has launched AskGPS (Ask Global Payments Solutions), an in-house generative AI assistant now live as of September 30, 2025. Built for the Global Payments Solutions (GPS) division, it gives teams instant answers drawn from thousands of internal resources, with the goal of saving tens of thousands of employee hours each year.
For finance leaders, this is a clear signal: institutional knowledge is moving from static files to on-demand intelligence. Faster responses, better consistency, and tighter risk controls translate into stronger client outcomes and measurable productivity gains.
What AskGPS Does
AskGPS is trained on more than 3,200 internal documents and presentations-product guides, term sheets, FAQs, and more. It synthesizes precise answers to routine and complex client questions that often used to take up to an hour and cross-regional coordination.
As Bank of America's Data & AI lead for GPS describes it, the assistant turns institutional knowledge into real-time intelligence. That helps bankers and sales teams bring best practices and precedents into every conversation across sectors and geographies.
Why It Matters for Finance Teams and Clients
Speed and accuracy at scale are hard to maintain across large, distributed teams. AskGPS aims to compress research cycles and standardize responses, improving first-call resolution and freeing experts for higher-value work.
Expect lift in metrics that matter: proposal turnaround times, RFP win rates, client satisfaction, and adherence to product and policy guidance. The downstream effect is stronger relationships and more time on strategy instead of document hunting.
Under the Hood: Built to Fit the Bank
AskGPS was built in-house, giving the bank greater control over data security, model behavior, and integration with existing systems. It complements existing GPS AI capabilities such as CashPro Chat with Erica, CashPro Forecasting, and Intelligent Receivables.
The in-house route also reduces vendor risk and supports deeper customization. For large institutions with sensitive data and complex workflows, that control can be a decisive edge.
Governance and Risk
Any large-scale AI rollout needs clear guardrails. Bank of America emphasizes human oversight, transparency, and accountability-critical to addressing data privacy, accuracy, and model drift concerns in a regulated environment.
If you're leading similar initiatives, anchor them to established frameworks like the NIST AI Risk Management Framework for policy, controls, and monitoring discipline. NIST AI RMF
Competitive Implications
Building internally signals confidence that proprietary data and processes are strategic assets, not commodities. Expect peers to revisit their build-vs-buy stance and push toward domain-specific assistants tightly integrated with internal systems.
Vendors will still matter-especially for foundational models, tooling, and safety layers-but generic, one-size-fits-all solutions will be pressured by bespoke deployments inside large enterprises.
Where This Goes Next
Short term, AskGPS is likely to expand beyond GPS into areas like wealth management, commercial banking, and compliance. As capabilities mature, expect movement toward agents that trigger workflows, draft client-ready content, and surface predictive insights.
The hard parts remain: continuously updating knowledge bases, securing sensitive data, and driving employee adoption. Teams that solve these will set the pace for how white-collar work evolves in finance.
What Finance Leaders Should Do Now
- Identify high-volume Q&A and policy lookup use cases across sales, service, and operations.
- Inventory internal documents (product, policy, legal, playbooks) and prioritize by impact and risk.
- Choose a build, partner, or hybrid path based on data sensitivity, IT constraints, and required customization.
- Adopt retrieval-augmented generation with citations and clear escalation to human experts.
- Define governance: model access, audit trails, prompt guidelines, red-teaming, and KPI dashboards.
- Pilot in one line of business; measure time-to-answer, accuracy, CSAT, and operational savings.
- Upskill teams on effective prompting and AI review workflows; reward adoption with clear productivity targets.
Context for GPS Clients and Partners
For treasury, payments, and liquidity stakeholders, the value is immediate: faster guidance on product fit, limits, pricing inputs, and operational steps across regions. That consistency reduces friction during onboarding and ongoing support.
To understand the broader GPS offering that AskGPS supports, see Bank of America's Global Transaction Services overview. Global Transaction Services
Build Your Team's AI Capability
If you're planning a similar assistant or need a quick scan of practical tools for finance teams, this curated list can help: AI tools for finance.
For role-based upskilling paths, browse programs mapped to common job functions in finance: Courses by job.