The governed agentic platform for banks.
Accelerate business value from agentic AI — without governance shortcuts or added risk, and with every stakeholder's needs answered.
One control plane to author, test, launch, and govern AI agents across the bank's estate.
What it deliversAgentic workflows taken from proof of concept to production sign-off, with exam-ready evidence.
How we workWe co-build your first governed workflows — then your teams build the next ones on the platform.
What agentic workflows make possible at a bank.
Agents are suited to the work banks have the most of: high-volume, evidence-heavy workflows that run on judgment applied to well-governed data. Applied well, they compress hours of assembly into minutes, lift consistency, meet regulatory clocks, keep the banker in the relationship — and open capabilities that weren't practical to staff. The value rolls up to what an executive team runs the program by: time and cost saved, revenue accelerated, customer experience improved, risk reduced, and operating capacity added. Five places it shows up:
An agent gathers the context an analyst assembles by hand, proposes a disposition with its reasoning, and drafts the write-up — compressing repetitive hours while every action stays on the record.
Underwriting packages assembled faster and more consistently, freeing bankers and credit officers for judgment — and moving the customer's answer up.
Reg E and Reg Z timelines don't wait. Fast, consistent triage improves compliance and customer experience in the same motion — and the customer still hears from their banker, not a bot.
Where ground truth is clean and evidence accumulates, an agent can earn genuine autonomy on the routine share of the work — capacity a bank couldn't practically staff its way to.
Applied correctly, agents strengthen the controls a bank already lives by: access scoped to task, data cataloged, decisions evidenced. A claim we hold to proof below.
The value is easy to prove. Production is hard to reach.
Each of the opportunities above demonstrates quickly: a working proof of concept — a POC — makes the case in weeks. The summary is persuasive, the connections work, the workflow runs. And that is where many bank pilots stop, because between a POC and production stands governance — risk, security, and audit see too much unanswered. Agents belong in the same discipline as the application and model estates — inventoried, owned, tested, explainable to every owner who signs, with costs attributed. Left ungoverned, they take a different path banks know well: End User Computing — useful tools that spread faster than oversight, until accounting for them became a program of its own. Production sign-off means establishing four things a demo never shows:
Inventoried with an accountable owner, an intended use, a risk tier, and defined human oversight.
Bound identity and least-privilege access; policy-shaped data — permitted fields, sources, regions; controlled actions.
Tested on business and edge scenarios before release, and re-tested on every change — regression is continuous.
End-to-end trace and audit-ready evidence; risk, control, and cost measured — not asserted.
Governed, agents join the application estate. Ungoverned, they become the next End User Computing.
We build your capability, not a dependency.
Crossing the gate from POC to production is the work we've built our company around. We work with the estate you have — integrating what's strong, elevating what's needed, and introducing only what's missing. The first workflows are built with us on the Garden Leaves platform; when we step back, the skills and the operating model stay with your teams — and they keep building governed workflows on the platform.
What the platform does.
The Garden Leaves platform is our product and the center of the engagement: author and govern agents through one control plane, then deploy them to any cloud, private, or on-prem runtime — with bank-grade identity, data controls, and end-to-end trace built in. Open by design: your selected models, tools, and runtimes, through validated integrations. Its capabilities group into six areas:
Author
Agents and workflows composed in comprehensive builders, from banking workflow templates, with guardrails built in from the first draft — governance by construction, not retrofit.
Govern
Identity, data, and tool-call boundaries enforced across every runtime — and an authoritative inventory that answers agent sprawl: every agent, authored or discovered, including your vendors', owned, risk-tiered, and bounded.
Validate
Automated validation before anything reaches production: scenario and regression testing with LLM-as-a-Judge and Agent-as-Judge, feeding a staged approval pipeline from draft to production sign-off.
Assure
Every action produces evidence — an end-to-end trace and audit trail, delivered as sealed audit packets ready for review, that make deployment defensible against SR 11-7, the EU AI Act, and your BSA/AML program.
Operate
Runtime monitoring, exception handling, incident response, and kill switches — plus the human side of operations: human-in-the-loop approvals where judgment signs, and human-on-the-loop oversight as autonomy is earned.
Optimize
Cost and value attribution across the estate. Prove the return, defend the spend, and see which agents earn their place.
One estate, many lenses: role-based views for the operator, operations, developers, the CIO, the CRO, audit, and the CFO — the same record, read in each stakeholder's terms.
Deep, portable, and banking-native: governance enforced by construction, carried to any runtime, in the language of the exam — with a record that stays independent of the providers it governs.
One agent, from discovered to exam-defensible.
Across an estate, the platform's work runs in a sequence a risk organization will recognize: discover, measure, manage, reduce. Here is that sequence for a single agent — an AML alert-triage agent, walked from an ungoverned pilot to a Tier 1 governed agent. Watch the residual risk fall, the controls come into place, and the record an examiner would read write itself.
risk score
Governed automation reduces risk in the estate you already run.
Manual workflows concentrate risk — handoffs, re-keyed data, information moving through inboxes and file shares. Bringing a workflow under governance strengthens the controls a bank already lives by: over data, access, the actions taken, and regulatory reporting. This is the proof behind the claim made in the opportunity above: governed automation is itself a risk-reduction program.
One predictable, repeatable workflow replaces manual handoffs and re-keyed data; outcomes are consistent and monitored.
Least-privilege access scoped to the task — no broad standing permissions, no data moved without need.
Every field cataloged, classified, and access-controlled through the data catalog — the agent reads only permitted data, with lineage.
Evidence produced once, in one place — an exam-ready trail that supports SR 11-7, BSA/AML, and EU AI Act reporting.
Prompts, models, and thresholds versioned, tested, and monitored in production — decisions validated, not assumed.
Automated testing lifts accuracy and consistency, and a human reviews every release — fewer errors reach the customer.
Operators who ran the control environments we're building for.
Former CTO and Global Head of Cloud at the largest U.S. banks, scaling cloud and AI programs within multi-billion-dollar transformations. Deep in the substance of banking — business workflows, core banking systems, infrastructure, and risk management — and in carrying change through risk organizations and regulators. Garden Leaves is that experience, built into a platform.
Builder of secure agentic AI systems for highly regulated federal organizations — with governance, auditability, and access control designed in from the start. Earlier, took advanced AI from research into enterprise-scale production at a high-growth technology company. Brings that same standard of operational trust and control to financial institutions.
The firms that win the agent era will be the ones that can show, on demand, every agent in their estate — who approved it, who owns it, what it did, and why — well before a regulator or a board asks.
We're taking a small number of design partners.
We're looking for banks ready to accelerate business value from agentic AI — without governance shortcuts or added risk, and with every stakeholder's needs answered along the way. You help us shape the platform around real workflows — with your risk and compliance teams at the table from day one — and in return get first access, influence over the roadmap, preferred commercial terms, a governed path to production for your workflows — and an operating model your teams keep.