Finance process automation
AI and workflow automation can support repeatable finance processes, internal approvals, exception handling and routing between teams.
Financial Services
AI automation for finance workflows that need accuracy and control
ETT helps financial services organizations apply AI automation to reporting, reconciliation, compliance workflows, customer operations and data-heavy processes. We design systems around the accuracy, governance and auditability that regulated environments demand.
The challenge
What teams in this sector face
Financial services teams work in environments where accuracy, speed and accountability matter.
Reporting cycles, reconciliation checks, compliance tasks, audit preparation, customer queries and internal approvals often rely on large volumes of data moving across multiple systems and teams.
When those processes depend too heavily on manual handovers, duplicated checks or disconnected tools, work becomes slower and harder to track.
ETT helps financial services organizations identify where AI and automation can reduce friction, support better visibility and strengthen control across finance and operational workflows.
Common pressures
Where the friction shows up
Reporting pressure
Teams often need to collect, validate and interpret information across multiple sources under tight deadlines.
Manual reconciliation
Repetitive checks and exception handling can take up valuable team time.
Compliance workflows
Regulated processes need clear ownership, traceability and consistent controls.
Fragmented financial data
Important information may sit across finance systems, CRMs, spreadsheets, documents and operational platforms.
Auditability and oversight
AI and automation must be designed so decisions, actions and data sources can be reviewed when needed.
Where AI can support
Practical use cases
Financial reporting automation
Automation can help bring together data from different systems, support reporting workflows and reduce manual preparation.
Invoice and document handling
AI can help classify, extract and route information from invoices, statements, forms and supporting documents.
Compliance workflow automation
AI-supported workflows can help teams manage evidence, approvals, review steps, escalation and traceability.
AI agents for finance teams
AI agents can support internal queries, retrieve relevant information, summarize cases and help teams act with better context.
Example workflow
Example workflow: from finance query to controlled action
Scroll through one request, end to end. Each stage shows what happens and the ETT service that makes it work, with people kept in control wherever judgement is needed.
Finance query
A reconciliation check, reporting request or internal finance question arrives, and is captured as a structured task rather than another email in a queue. From the first moment it carries an owner, a deadline and an audit trail.
Typical technologiesLLM agentsEmail & TeamsWorkflow queue
How ETT helpsAgentic AI and AutomationData retrieval
The agent pulls the relevant figures across finance systems, CRMs, spreadsheets and documents in real time, instead of a person chasing each source. Every number arrives tagged with where it came from.
Typical technologiesDatabricksERP / general ledgerData & REST APIs
How ETT helpsData and Analytics for AIAI summary
It summarizes the position with the sources attached, so the team starts from context instead of raw data. Anomalies and exceptions are surfaced up front, not discovered later.
Typical technologiesOpenAIRetrieval (RAG)
How ETT helpsData and Analytics for AIWorkflow routing
The task is routed to the right people and steps, with permissions and ownership applied automatically. Hand-offs that used to sit in inboxes now move on their own.
Typical technologiesUiPathWorkflow orchestration
How ETT helpsAgentic AI and AutomationApproval / escalation
Approvals are requested where policy requires them, and anything sensitive or high-value escalates to a person with full context. The system never acts beyond the authority it was given.
Typical technologiesPolicy & RBACHuman-in-the-loop
How ETT helpsvCISO for AIAudit record
Every action, source and decision is written to an auditable trail, ready whenever auditors or regulators ask. Governance is designed in from the start, not bolted on afterwards.
Typical technologiesCaveloAudit logISO/IEC 42001
How ETT helpsvCISO for AIHow ETT supports Financial Services
The services involved
AI Strategy and Delivery
For identifying which finance use cases are viable, valuable and appropriate to prioritize.
View serviceAgentic AI and Automation
For automating workflows, routing tasks and connecting actions across finance systems and teams.
View serviceData and Analytics for AI
For building cleaner, more connected data foundations and operational dashboards.
View serviceData Discovery and Classification for AI
For locating, classifying and preparing sensitive or regulated data before it is used in AI workflows.
View servicevCISO for AI
For governance, risk, compliance and oversight around AI systems in regulated environments.
View serviceFAQs
Common questions
How can AI automation support financial services teams?
AI automation can support reporting workflows, reconciliation, invoice handling, compliance processes, internal queries and data-heavy operational tasks.
Can AI be used safely in regulated finance environments?
Yes, but it needs the right controls. AI systems should be designed with governance, data protection, auditability, permissions and human oversight in mind.
What is finance process automation?
Using technology to reduce manual work across repeatable finance tasks such as reporting, approvals, reconciliation checks, invoice handling and internal routing.
Can AI help with compliance workflows?
AI can support compliance workflows by helping organize information, route tasks, manage evidence, support review steps and improve traceability. It should not replace proper compliance ownership or human judgement.
Why is data governance important for AI in finance?
Financial services data is often sensitive, regulated and business-critical. Strong data governance helps ensure AI systems use appropriate, reliable and controlled information.
Ready to explore AI automation for finance operations?
Book an Executive AI Acceleration Session to explore where AI could support reporting, compliance workflows, finance processes and operational visibility across your organization.