Noah AI agent illustration

Noah

Expense Guardrails & Spend Governance

Noah keeps spend from getting sloppy. It enforces budget guardrails, checks coding and policy rules, and flags risks early (before you “discover” them at close). Noah catches repeat problems—miscoding, missing POs, duplicate invoices, late accruals, and off-policy T&E—then routes clean actions to fix them. Built to support judgment, not replace it: your leaders decide what gets approved, Noah makes sure spend stays controlled and explainable.

Primary Outputs

Typical deliverables
Cost-center guardrail dashboard: burn vs budget, forecast risk, and “no surprises” views
GL coding exception list: miscoding patterns, wrong cost centers, and mapping clean-up actions
Invoice and PO compliance checks: missing POs, mismatched vendors, duplicates, and risky approvals
Accrual completeness prompts: what should be accrued, what’s late, and what will hit next month
T&E policy exceptions: out-of-policy items, recurring offenders, and coaching-ready summaries
Spend-control action list with owners, due dates, and expected impact on month-end landing

Core Capabilities

What it does
Enforces budget guardrails by cost center and flags burn-rate risk early in the month
Detects coding drift and repeat miscoding patterns that wreck reporting credibility
Checks PO/invoice discipline to reduce “surprise invoices” and late approvals at close
Improves accrual hygiene with prompts and completeness views—less whiplash month to month
Flags policy exceptions without being bureaucratic: the point is control, not paperwork
Outputs clean actions and ownership so spend control becomes a system, not a scramble

Operational Fit

How it’s used
Used By

FP&A, Controllers, Procurement, and cost-center owners managing operating budgets.

Used For

Spend control, policy enforcement, accrual discipline, and preventing month-end surprises.

Typical Questions
  • Which cost centers are going to blow budget, and what’s driving the burn?
  • What spend is risky—miscoded, off-policy, missing a PO, or likely to hit late?
  • What do we need to fix now so close isn’t a fire drill and the story is credible?