AI Agent Studio for Bank Trust Departments

Agents that work while you sleep

Trust operations teams spend thousands of hours on repetitive surveillance, reconciliation prep, and exception triage. Agent Studio lets you deploy autonomous agents that handle these workloads on schedule — with every action logged, every decision auditable, and every high-risk step routed through human-in-the-loop approval.

We built Agent Studio because we've spent thirty years inside the trust accounting engine room. We know which tasks are safe to automate, which require escalation, and which need role-based permissions that mirror how your institution actually operates.

Overnight reconciliation checks Agents compare positions, cash, and accruals against expected states and surface discrepancies before your team arrives.
Fee schedule monitoring Continuous surveillance of fee calculations against contracted schedules, with alerts on drift or misapplication.
Account exception surveillance Proactive monitoring for stale accounts, missing documentation, regulatory triggers, and operational anomalies.
Migration workflow automation Structured agents that guide data migration steps, validate mappings, and produce audit-ready progress reports.
Reg 9 Trust Review Automation Agent Streamlines annual and initial fiduciary reviews — see the Reg 9 Trust Review page for detail.

How Agent Studio Is Organized

Agent Studio is built in three layers, so your institution always knows what is running, who approved it, and what it is permitted to do. Nothing operates outside this structure.

The Manager — Orchestration and Oversight. The Manager is the control layer. It assigns work, enforces the boundaries your institution has approved, and supervises every agent in operation. When an agent encounters something outside its authority — an ambiguous instrument provision, an unusual transaction — the Manager routes it to the right place: another agent, the Reasoning Engine, or a human reviewer. Nothing self-directs.
The Builder Agent — Governed Creation. New agents are not written ad hoc. The Builder Agent constructs them from approved patterns, with each agent's scope, data access, and escalation rules defined before it ever touches an account. Your operations and compliance teams review what an agent is allowed to do — in plain language — before it goes into service.
Generated Agents — The Working Layer. Generated Agents do the day-to-day work: monitoring accounts, preparing reviews, reconciling activity, flagging exceptions. Each one operates within the mandate it was built with, records what it did and why, and can be paused or retired at any time. They are staff you can audit — every action traceable, every decision explainable.

Three layers, one chain of accountability — from the work performed down to the authority that approved it.

Intelligence pipelines for the Reasoning Engine

Agent Studio agents aren't limited to operational tasks inside the trust platform. You can compose pipeline agents that continuously ingest, classify, and structure external information — feeding the r.Team Reasoning Engine with current, decision-ready intelligence across three tracks:

Legal intelligence — dockets, filings, enforcement actions, and case law relevant to fiduciary and trust operations, monitored and classified on schedule.
Government & regulatory intelligence — rulemaking, agency guidance, OCC/FDIC/SEC releases, and comment periods that affect trust administration and fiduciary compliance.
Investment intelligence — market data, issuer events, and research signals structured for downstream portfolio and account-level reasoning.

Each pipeline agent runs on the same governance framework as operational agents: scheduled or event-triggered, fully logged, and stackable with your existing systems.

Governance by design

Autonomous does not mean unaccountable. Every agent in Agent Studio operates within a governance framework designed for regulated financial institutions:

Full audit trails — every agent action, input, output, and decision point is recorded with timestamps and actor attribution.
Human-in-the-loop approvals — configurable escalation gates for actions above defined risk thresholds.
Role-based permissions — agents inherit and respect your institution's access controls; no agent operates outside its authorized scope.
Integration with existing platforms — designed to work alongside major trust accounting platforms, the legacy database environments beneath them, and adjacent systems — interoperable, not rip-and-replace. Pair with the Parallel-Run Method when modernizing.

Agent Studio FAQ

How governed agents fit trust operations and the Reasoning Engine.

What can Agent Studio automate in trust operations?

Overnight reconciliation, fee schedule monitoring, account exception surveillance, migration workflows, Reg 9 fiduciary review automation, and legal, regulatory, and investment intelligence pipelines.

How do Agent Studio agents feed the Reasoning Engine?

Pipeline agents ingest and structure external legal, government, and investment signals so the Reasoning Engine can reason over current, decision-ready intelligence alongside your trust accounting data.

Are agents accountable for fiduciary work?

Yes. Every action is logged, high-risk steps can require human-in-the-loop approval, and agents inherit your institution's role-based permissions.

Related capabilities

Reg 9 Trust Review — Annual fiduciary review automation under 12 CFR 9.6
Reasoning Engine — Private reasoning that combines agent outputs with trust data
Interpretation Governance — Auditable AI for trust provision interpretation