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. 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. Zyos builds the foundation first, then runs these workflows for you and oversees them.
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 runs continuously instead of piling up in the last week of the month.
- 02Forecast updates move from quarterly to continuous, with monthly formal updates.
- 03AP shifts from manual invoice matching to agent-run PO matching and scheduled approvals.
- 04Audit prep shifts from a scramble to reconstruct records to verifying documentation the agents keep current.
Business outcomes
Where the agents do the work.
The mechanism behind each outcome, not a promised number. Where you start is surfaced by Process Intelligence Implementation, the first delivery cycle.
| Outcome | What the agents do |
|---|---|
| Month-end close time | Agents ingest, categorize, reconcile, and flag variances as they happen, so close is not a month-end scramble. |
| Forecast accuracy (variance) | Agents update driver-based forecasts against actuals continuously and flag variance the day it appears. |
| AP/AR cycle time | Agents run PO matching, approval routing, and dunning, so invoices move without manual chasing. |
| Finance time on transactional work | Agents absorb the transactional grind, freeing the team for analysis and business partnership. |
| Audit findings | Agents keep reconciliation packets and documentation audit-ready, so exceptions surface early. |
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. Zyos builds the foundation first, then runs the agents for you as a managed service on zyos.io.