Workflow 01
Reconciliation Agent
Transaction ingestion → categorization → reconciliation against bank / ERP → variance flagging → exception routing → close acceleration.
By function · Finance
Close that doesn't consume the last week of every month. Variance flagged the day it happens.
Reconciliation that doesn't consume the last week of every month. Forecast variance flagged the day it happens, not at the quarter-end review. AP/AR cycle compressed by 40–60%. Audit prep that takes a day, not a month. That's what the Finance function looks like when agents handle the transactional layer.
Agent workflows we deploy
Five concrete workflows, not abstract claims.
Each workflow is a multi-step orchestration with a visible task log and an outcome metric. Productized inside AaaS.
Workflow 02
AP/AR Automation Agent
Invoice ingestion → PO matching → approval routing → payment scheduling. AR: invoice generation → dunning → collections escalation.
Workflow 03
Forecast Adjustment Agent
Actuals ingestion → variance against forecast → driver-based forecast update → CFO summary → narrative draft for board reporting.
Workflow 04
Audit Prep Agent
Audit requirement detection → data gathering across systems → reconciliation packet → schedule prep → exception flagging.
Workflow 05
Expense + Procurement Compliance Agent
Expense report ingestion → policy check → exception flag → approve / route / reject → trend analysis → policy-update recommendations.
Show, don't tell
One worked example, end-to-end.
Workflow steps + a sample of the visible task log + the outcome metric.
Finance · AaaS, Insights
Reconciliation + Forecast Agent Workflow
Ingestion → categorization → reconciliation against bank / ERP → variance flagging → forecast adjustment → CFO summary.
01Ingestion
Pulling transactions from connected accounts.
02Categorization
Classifying with customer-tuned chart of accounts.
03Reconciliation
Matching against bank statements + ERP records.
04Variance flagging
Highlighting differences over threshold with reasoning.
05Forecast adjustment
Updating cash + P&L forecast with new variance.
06CFO summary
Composing month-end summary + open items.
Visible task log · Foundational AI Layer
step 1/6 · Pulling transactions from connected accounts ...done in 1.6s
step 2/6 · Classifying with customer-tuned chart of accounts ...done in 2.3s
step 3/6 · Matching against bank statements + ERP records ...done in 3.0s
step 4/6 · Highlighting differences over threshold with reasoning ...done in 3.7s
Outcome metric
3 days saved / mo
Close cycle · finance team time reclaimed (anonymized)
BI signals
What this function generates, and what it consumes from the rest of the business.
The cross-functional integration is what makes agents compound. A signal generated here often triggers action somewhere else.
Generated
- Close-cycle time
- Variance categories
- AP/AR cycle time
- Forecast accuracy over time
- Expense compliance rate
- Cash-conversion cycle
Consumed
- Sales pipeline data (revenue forecasting)
- Operations data (cost forecasting)
- HR data (compensation modeling)
Software + integrations
The stack we integrate.
ERP, AP platform, expense management, banking, BI/reporting, procurement systems, integrated. Tight cross-function dependence on Sales (revenue forecasting) and Operations (cost forecasting). Capability language only.
Operations changes
What the team experiences in the first 90 days.
- 01Month-end close cadence: 10 days → 2–4 days.
- 02Forecast updates: quarterly → continuous (with monthly formal updates).
- 03AP cycle time: −40% to −60%.
- 04Audit prep: '4-week project' → '1-day verification.'
Measured business outcomes
Typical 90-day movement.
Ranges, not promises. Actual outcomes depend on the starting state surfaced by PI Implementation.
| Outcome | Typical 90-day movement |
|---|---|
| Month-end close time | −50–75% |
| Forecast accuracy (variance) | −30–50% improvement |
| AP/AR cycle time | −40–60% |
| Finance time on transactional work | −50% |
| Audit findings | −50–75% |
Customer Success cadence
How the results stay proven, quarter over quarter.
QBR slide tracks close-cycle trend, forecast accuracy trend, AP/AR cycle, exception rate trend, finance team productive hours. OKRs typically tie to working capital + forecast accuracy + finance productivity.
Ready when you are
Start with a measurement.
The Opportunity Engine intake routes by function. Pick this one in the bottleneck question and the diagnostic will identify the two or three workflows worth deploying first. Want it run for you as a managed service? Agent as a Service is productized on zyos.io.