Agentic-AI controls for financial services SMEs
Boxed.ai sits between your AI agents and the tools they touch — CRM, email, payments, files — and enforces least-privilege permissions, human approval gates, kill-switches and tamper-evident audit logs. Built for the controls your second line and external auditors actually look for.
The problem
The risk surface in financial services is no longer hallucinated answers. It is unauthorised actions taken on the firm's behalf by software the firm cannot fully see.
Hostile instructions hidden inside emails, PDFs and CRM notes get silently followed by an agent. NCSC has confirmed this cannot be fully patched at the model layer.
A coding agent with write access to production. A sales agent that can send emails on behalf of the firm. Excessive agency turns small mistakes into reportable incidents.
An agent reading a client mailbox forwards data through a chained tool call. Without an execution-time control plane, you discover it from the client.
A third-party MCP plug-in or tool description is modified upstream. The agent now does something the policy never approved.
No tamper-evident record linking prompt → retrieved context → tool call → approver → outcome. Internal audit cannot evidence what happened, when, or why.
Five failure modes. One control plane to address them.
The control plane
Constrain
Capability-scoped tool access. Human approval required for the actions that matter. A single switch that halts every agent in scope, instantly.
Withstand
Every prompt, retrieved context item, tool call, parameter, approver identity, outcome and cost is captured in an append-only log built for evidence.
Prevent
Risk score new agents before they go live. Apply policy templates aligned to FCA Consumer Duty, SM&CR and ISO 42001 — without writing them from scratch.
Why financial services SMEs
Wealth managers, IFAs, brokers, fintech lenders and accountancy practices are deploying AI agents into client mail, advice workflows and back-office tools. The regulatory bar is the same as the largest banks. The internal capacity to engineer, audit and govern those agents is not.
Boxed.ai gives smaller firms the same execution-boundary controls and audit evidence that a tier-one bank would build in-house — as a service, with policy templates that are already mapped to the rules you already report against.
Explore by firm typeA working example
An LLM agent reads inbound client mail, drafts replies and proposes next actions. Without a control layer the agent can send mail, attach files, and act on instructions hidden in client signatures.
Standards alignment
FCA Consumer Duty
Demonstrate good outcomes and avoid foreseeable harm from AI-driven decisions.
SM&CR
Evidence senior-manager oversight of AI deployments and accountable decisions.
PS21/3 Operational Resilience
Identify important business services exposed to agentic AI and bound the impact.
ISO/IEC 42001
Operate an AI management system with the documented controls auditors expect.
NIST AI RMF 1.0
Map, measure, manage and govern AI risk with consistent artefacts.
EU AI Act
Meet GPAI obligations and prepare for broad application from August 2026.
Boxed.ai supports alignment with these frameworks. It is not itself certified to them.
Thirty minutes. We'll walk you through a working email-triage agent inside Boxed.ai and the evidence pack it produces.