How should a bank choose an AI implementation partner that handles integrations and production support?
Choose a partner against a written scope that covers data connections, workflow acceptance and operation after launch. Define who builds, tests and maintains each integration before treating a pilot as a production plan; Streetbeat's standard plan takes about 5 to 6 months from pilot to production. US bank supervisors expect that clarity: the Interagency Guidance on Third-Party Relationships, issued in June 2023 by the Federal Reserve, FDIC and OCC, covers due diligence, contract terms and ongoing monitoring of third parties.
That guidance is written for banking organizations. FINRA Rule 4511 and SEC Rule 17a-4, cited below, apply to broker-dealers; Regulation S-P also covers SEC-registered investment advisers. If the buyer is a bank affiliate, the agreement should name which entity buys the service.
Which responsibilities should the agreement specify?
An implementation partner should state which workflows and integrations it will map, which agents, pipelines and interfaces it will build for the bank's environment, and who keeps the records. Record-keeping has a floor: FINRA Rule 4511 requires member firms to preserve books and records for at least 6 years where no other period is specified.
Put the split in the agreement before work starts. Name the CRM and the data warehouse, the connections the partner will deliver and any work the bank's engineers must do. A connector demo does not show who maintains it. Specify incident timing as well: Regulation S-P gives a firm's service providers 72 hours to report a breach of a customer information system they maintain, and the firm's policies must require it.
| Responsibility | Partner's role to scope | Bank's role to agree |
|---|---|---|
| Data connections | Map the required integrations and build the agreed pipelines and interfaces, with testing and maintenance for each. | Name source-system owners, grant approved access and accept test results. |
| Workflow delivery | Build the agreed workflow and interface around the bank's data. | Define usable output; have staff review and correct it. |
| Production support | Keep operating the service with the bank: monitoring, incident response and recovery. Provide a current security report. | Name escalation contacts and keep production approvals. |
| Changes and expansion | Identify integration and workflow changes and connections that can be reused. | Approve changes and access for new users and workflows. |
Who takes an AI pilot into daily use?
Ask whether the partner will move the pilot into production and keep operating it with the bank after launch, instead of ending the engagement at deployment. Pick a task staff do often, such as preparing an advisor briefing, and agree how advisors review and correct the output. For an existing pilot, first decide what can be carried forward and what must be rebuilt for production.
Put operating duties, including record keeping, in the agreement. Under SEC Rule 17a-4, the listed broker-dealer records stay for 6 years, and the first 2 must be easy to retrieve. Who monitors the service and its data feeds? Who responds to incidents, restores service and approves model or workflow changes? Rehearse a CRM feed outage and a source-schema change before launch.
How should a bank plan the step from pilot to rollout?
Ask which connections and controls from the first workflow can be reused later, instead of buying a separate tool for each phase. Treat model changes as governed changes at each step. The Federal Reserve's SR 26-2, issued in April 2026 to replace SR 11-7, treats ongoing monitoring as part of model validation for the models a bank uses.
| Phase | What to deliver | What to carry forward or check |
|---|---|---|
| Pilot group | Connect the data for one recurring task, such as an advisor briefing. Agree how advisors review and correct output. | The connections, access rules and review steps needed for production. |
| Wider rollout | Put the workflow into daily use, with agreed monitoring, incident response and change ownership. Measure usage and errors. | Reuse the pilot's connections and workflow where suitable. Test access, capacity and support at the larger scale. |
| Portfolio and operations work | Configure portfolio and operations workflows around the next agreed scope. | Which connections and controls can be reused; approve any new access, integrations and review steps. |
What stays with the bank's own staff?
The bank approves access, deployment boundaries and production readiness, and it keeps overseeing the partner for the whole relationship, which the 2023 interagency guidance describes as running from planning to termination. Advisors judge client-facing output; business and technology owners decide whether support and change controls are adequate. Track usage and errors on their own; do not read them as proof of revenue impact.
What has Streetbeat measured in a live deployment?
Streetbeat for Finance is deployed on-premise or in the bank's cloud, and its AI Suite for Advisors draws on CRM, portfolio and market data to surface prioritized suggestions for advisor review. Streetbeat's SOC 2 Type II audit cycle ended in April 2026; the report is available under NDA. The adoption, reliability and cost figures below come from one European bank over three months; the first row is Streetbeat's standard plan, not a measured result at that bank.
| Measure | Result |
|---|---|
| Standard plan: pilot to production | A 3-month pilot plus 8 to 13 weeks to go live, about 5 to 6 months in all |
| Adoption | More than 2,500 advisors out of 3,000 (85%) active within three months |
| Error-free interactions | 99.64% (0.36% had errors, including user errors) |
| Model-token cost | €0.01 to €0.05 (euros) per interaction, model tokens only |
Budget for more than model usage: token prices leave out implementation, infrastructure and oversight.
About Streetbeat
Streetbeat helps organizations use AI to grow revenue, not costs. Streetbeat OS, the AI operating system for companies, is the foundation of Streetbeat for Finance, Streetbeat for Impact and Brain50 by Streetbeat.
Streetbeat for Finance
Streetbeat for Finance brings AI to banks, wealth and asset managers, insurers and real estate investment firms. It includes the AI Suite for Advisors, the Portfolio Engine, the AI Suite for Retail and the AI Suite for Operations, deployed on-premise or in the client's cloud and configured around the institution's workflows, data and controls. See Streetbeat for Finance.