Agentic AI for financial operations, with the audit trail your compliance team needs.
AP/AR automation, compliance document processing, decision support, and multi-agent financial workflows — all with the audit controls, access governance, and source attribution that finance and operations leaders in regulated environments require before any AI system touches real transactions.
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AI Readiness Assessment
Scoped for financial operations.
$5,000
10 business days · Fixed scope
Readiness Assessment scoped for financial operations: identifies high-ROI workflows (AP/AR, compliance, reporting, client onboarding), scores your data and systems readiness, and produces a prioritized opportunity register with ROI estimates. Includes an initial governance gap review — audit trail, access controls, and approval-gate requirements — so the pilot scope includes the controls your compliance team will ask for.
Use cases for financial services operations teams
Each use case maps to one of our standard service lines. The assessment tells you which combination delivers the most ROI for your team and in what order.
AP/AR workflow automation
Automate invoice processing, payment matching, exception routing, and approval chains. Every step has an audit trail, configurable retry logic, and a human approval gate on high-value or anomalous transactions.
Delivered via: Workflow Automation Pilot
Compliance document processing
Ingest regulatory filings, disclosure documents, and compliance reports. Extract structured fields, flag deviations from policy, and route exceptions to human review with full source attribution.
Delivered via: Document Intelligence Pilot
Decision support and reporting
Generate source-backed management reports, board briefings, and risk summaries from structured and document data. Every recommendation traces back to its source — no black-box outputs.
Delivered via: Decision Support Pilot
Client onboarding automation
Structured intake for new client onboarding: KYC triggers, document collection, account classification, and CRM record creation — with approval gates before any account is activated.
Delivered via: Workflow Automation Pilot or Voice Intake Pilot
Internal knowledge assistant
RAG-backed assistant over policy documents, product guides, regulatory updates, and internal SOPs. Cited answers with sensitivity labels so staff know what's confidential before sharing.
Delivered via: Document Intelligence Pilot
Multi-agent financial workflows
Orchestrate complex financial processes — reconciliation, reporting chains, compliance checks — across multiple data sources and approval layers, with cost budgets and loop guards on every agentic run.
Delivered via: Multi-Agent Workflow Pilot
Governance controls on every financial services engagement
Finance and operations AI that can't answer "what did it do and why?" will fail internal audit. These controls ship with every financial services engagement — enforced at the platform layer, not as configuration that operators can disable.
Audit trail on every action
Every tool call, model invocation, data access, and operator action writes a timestamped audit event. Retention is configurable per engagement compliance requirements.
Human approval on high-value transactions
Configurable approval thresholds: any transaction, routing decision, or recommendation above a set threshold requires explicit human sign-off before execution. Nothing above threshold is auto-processed.
Access controls and data isolation
Knowledge bases, retrieval indexes, and agent memory are scoped per client and per engagement. Cross-client data leakage is prevented at the retrieval layer, not the prompt layer.
Source attribution on every output
Decision support outputs, compliance flags, and risk summaries cite their source data. Every recommendation is traceable to the record, document, or dataset it came from.
Cost budgets and anomaly alerts
Every agentic workflow runs with a per-task token and cost budget. Spike alerts fire before a runaway process can create unexpected cost or process an unusual volume of records.
Prompt versioning and reproducibility
All system prompts are versioned in code and tied to their model outputs in logs. Any output can be reproduced and explained — essential for regulatory review or audit inquiry.
Already tried an AI workflow that didn't reach production?
Most financial operations AI pilots stall for the same reasons: the governance requirements weren't scoped upfront, the eval set didn't represent real exception cases, or the process owner lost confidence after the first edge case. The Readiness Assessment diagnoses the root cause and produces a scoped remediation plan with the governance controls and acceptance bar that the next attempt needs to succeed.
Talk to us about a stalled workflow →Next step
Start with the AI Readiness Assessment
10 business days, $5,000, fixed scope. Scorecard across 7 readiness dimensions (data, workflows, risk, talent, governance, infrastructure, sponsorship) — with a prioritized roadmap and ROI model you own.