Cash Flow Modeling Agent: what it does, what it doesn't.
Cash Flow Modeling Agent is one of the Modular AI Agents inside the Aegis Financial Intelligence function. Rolling cash-flow forecast updated against actuals on an agreed cadence. Confidence-scored output. Flags when source data is too sparse for a defensible forecast.
What Cash Flow Modeling Agent does.
Rolling cash-flow forecast updated against actuals on an agreed cadence. Confidence-scored output. Flags when source data is too sparse for a defensible forecast.
This agent can run on its own, combine with other CFO function agents, or sit inside an Aegis Advisory engagement where a named human advisor configures and supervises it.
Output follows the Confidence Contract: recommendations are designed to carry a confidence state (I Know / I Think / I'm Inferring / I Don't Know), a source trail, and a refusal pathway when evidence is insufficient. Truth Architecture provides the grounding layer. The Life Integrity pattern flags recommendations that may increase irreversible-harm risk before an operator acts on them.
What the agent takes in and what it returns.
Inputs. Bank feeds, AR/AP data, payroll cadence, recurring-revenue data.
Outputs. 13-week rolling forecast, variance analysis, cash-trigger alerts.
Frequently asked questions.
Can I subscribe to Cash Flow Modeling Agent standalone?
Yes. Modular agents can be purchased individually. Some teams start with one agent and later bundle multiple agents within a function.
What data does Cash Flow Modeling Agent need?
Listed in inputs above. The AI Readiness Assessment explicitly maps where the data exists, where gaps are, and what minimum infrastructure is required.
Does this require Aegis Advisory?
No. The agent can run without the Advisory tier. Advisory becomes useful when the agent is producing signal that needs senior interpretation.
What's the deployment tier?
Standard Cloud by default. If a workflow appears to require HIPAA, FedRAMP/CMMC/ITAR, or Financial Services controls, Aegis scopes the deployment tier during discovery and confirms what is in or out of scope before implementation.