Audit the intent behind the expense, not just the amount
Celthrac's agentic AI evaluates each expense in business context — was there a real client meeting? does it map to a live opportunity? is there budget left? — catching the out-of-policy spend that dollar-limit rules miss entirely.
Audit the intent behind the expense, not just the amount
Celthrac's agentic AI evaluates each expense in business context — was there a real client meeting? does it map to a live opportunity? is there budget left? — catching the out-of-policy spend that dollar-limit rules miss entirely.
What it costs today
Standard expense controls flag mathematical limits and nothing more. They can't detect spend that's out-of-policy in context — charges that don't correlate to any active sales pipeline or genuine client engagement.
Why rule-based fails
Rule engines compare numbers to thresholds. They have no way to ask the questions that actually matter: was there a meeting on the calendar, is there a real opportunity behind this client, is the department still within budget?
What the agent does
Our auditor agent processes submitted receipts, assesses corporate travel rules, cross-examines client calendar invitations and engagement logs in the CRM to confirm legitimate business context, and checks the department's remaining budget allocation in Workday Financials. It evaluates the intent behind the spend — flagging the charge that passes the math but fails the context.
Reasoning, memory and action — not another rule.
Intent-aware.Judges business purpose, not just dollar amount.
Cross-system context.Calendar, CRM relationship, and ERP budget inform every decision.
Scales judgment.Applies the scrutiny of a thorough auditor to every transaction, not a sample.
What this pattern returns.
You catch leakage and policy abuse that purely numeric controls let through, reduce the manual audit burden on finance, and strengthen the compliance posture that regulators and boards increasingly expect. Better detection also deters the behaviour in the first place.
We engineer the auditor as a context-reasoning agent on n8n, with custom logic for your policy framework. AI-First means your controls understand why money was spent — the dimension legacy tooling has never been able to see.
One of 15 agentic AI use cases for CRM, ERP & billing.
Every one converts a recurring source of manual labour, revenue leakage or compliance risk into a governed, autonomous workflow.
From this patternto your platform.
Same approach. Same governance. Your stack next — bring the constraints, leave with the path.