03 — Financial Twin
Cash, collections, payments and the CFO office — automated.
A live model of cash flow, collections, payments, close, planning and capital — where every operational change is simulated in dollars before it is approved, and agents act inside policy to release cash and cut cost.
North Star
Cash conversion · Cost-to-serve · CFO productivity
The stream
Automation → Capability → Value driver → Financial value
Automation
Cash-flow forecasting and scenario engine
Capability
See cash position and options in real time
Value driver
Liquidity management
Financial value
Lower cost of capital, fewer surprises
Automation
Intelligent collections and dunning
Capability
Collect the right invoices at the right time
Value driver
Days sales outstanding
Financial value
Released working capital
Automation
Payment orchestration and reconciliation
Capability
Pay optimally, reconcile automatically
Value driver
Payment efficiency
Financial value
Reduced fees, faster close
Automation
CFO automation — close, variance and reporting
Capability
Close and explain the numbers in hours
Value driver
Finance productivity
Financial value
Lower cost of finance function
Value system
Value ≠ North Star ≠ KPI ≠ driver ≠ process metric.
The translation layer that connects a corporate objective to something an operating team can actually move on Monday.
Value
Cash-flow optimization and capital efficiency
Economic outcome
Free cash flow released, financing cost avoided, CFO productivity gained
North Star
Operating cash flow conversion · DSO · Cost-to-serve
Outcome KPIs
Driver metrics
Process metrics
Causal model
Value leakage
Where the value goes missing today.
Leakage is multiplicative. Every gate that stays leaky discounts everything built upstream of it.
Cash flow
Forecasts built once a month on stale spreadsheets.
Surprise liquidity gaps
Credit
Orders held while approvals queue manually.
Delayed revenue
Invoicing
Errors trigger re-issues and disputes.
Rework, late cash
Collections
Effort spread evenly instead of by exposure.
Aged receivables
Payments
AP pays early when cash is tight, or late when suppliers matter.
Fees and damaged terms
CFO office
Close and reporting consume half the month.
Finance capacity
Digital twin
Simulate the interventions before anyone funds them.
Instead of implementing ten recommendations and learning the result in six months, the twin stacks them first.
Cash conversion cycle
Guardrails
- Bad-debt rate at or below baseline
- Customer CSAT floor held
- No unilateral credit-limit cuts
- AP timing changes inside policy
Constraints
- Audit and SOX controls
- Regional payment regulation
- ERP release calendar
- Banking cut-off times
Automation
What runs without asking.
Cash flow optimization
13-week rolling cash forecast with scenario bands and sensitivity analysis.
Cash Flow Agent
Collections acceleration
Risk-scored dunning, payment promises and dispute routing.
Collections Agent
Payment orchestration
Optimal timing, method and currency across AP and treasury.
Payments Agent
CFO office automation
Close checklists, variance narratives, board packs and reconciliations.
CFO Automation Agent
Cash Flow Agent
Forecasts, stresses and optimizes liquidity.
Time-series + simulation + LLM narration
Collections Agent
Prioritizes and executes collection actions within policy.
SLM risk scoring + optimization
Payments Agent
Orchestrates payment timing, method and reconciliation.
Rules + cash-position optimization
CFO Automation Agent
Runs close tasks, drafts variance explanations and assembles reporting.
LLM + RAG on close documentation
Integrations
Where it plugs into the domain.
Vendor-agnostic by design. The twin reads and writes through whatever stack the domain already runs on.
Systems of record
- ERP / general ledger
- FP&A platform
- Treasury management
- Procurement
Cash, collections & payments
- Order-to-cash platforms
- Payment gateways
- Banking & treasury APIs
- Credit and risk data
Data & runtime
- Warehouse
- Metric layer
- MCP connectors
- Policy engine
Domain platforms we connect
ERP & finance
Cash flow & treasury
Collections & O2C
Payments & AP
Planning & close
Credit & risk
Data & runtime
Plus anything else with an API — connectors are added per engagement, not sold as a platform lock-in.
Value
The levers, and what they move.
Cash flow
Forecast and protect liquidity before it becomes a problem.
Cash conversion · Liquidity headroom
Collections
Collect faster without damaging customer relationships.
DSO · Bad-debt rate
Payments
Optimize timing, method and reconciliation cost.
Payment fees · Reconciliation lag
CFO automation
Automate close, variance and reporting cycles.
Days to close · Cost of finance
Resilience
See downside scenarios before committing capital.
Forecast error · Working capital
Risk
What could go wrong, and what stops it.
Every risk in this domain has a named containment in the runtime — not a slide.
Automated credit decisioning affecting customers
Human review on adverse decisions; reasons logged
High
Aggressive collections damaging relationships
CSAT and churn guardrails bound the optimizer
Medium
Payment orchestration breaching policy
Dual approval and policy engine on any AP timing change
High
Control weakening under automation
Segregation of duties enforced in the agent policy
High
Compliance · Security
Built into the runtime, not bolted on.
EU AI Act
Limited risk internally; high-risk controls applied where output informs credit or creditworthiness decisions.
- Risk management file and model documentation maintained
- Human oversight and sign-off on all reported figures
- Accuracy, robustness and logging requirements met for scored outputs
GDPR
- Employee and supplier data processed on legitimate interest with DPIA
- No automated decisions with legal effect without human review
- Pseudonymization of counterparties in analytical stores
Security
- Segregation of duties enforced in agent tool contracts
- SOX-aligned change control
- Encrypted, key-managed financial stores
Controls & oversight
- Payment approval limits
- Four-eyes on any ledger-affecting action
- Full replay of every simulation input
Agentic execution
Agents earn authority. They are not given it.
No agent in this twin controls anything it has not first proven in replay, evaluation, simulation and shadow.
01
Historical replay
Re-run the last 12 months. Would the agent have been right?
02
Offline evaluation
Scored against held-out outcomes, not opinion.
03
Digital twin
Simulated against the causal model under stress.
04
Shadow mode
Runs live, decides nothing. Divergence is logged.
05
Human recommendation
Proposes; a person executes and rates it.
06
Bounded pilot
One segment, capped exposure, hard rollback.
07
Human-supervised execution
Acts inside thresholds, humans approve exceptions.
08
Progressive autonomy
Authority widens only where evidence widened.
The unit of value
Don't buy transformation. Buy measurable movement.
This twin is contracted the way it is engineered: a baseline, a target, a guardrail, and an attribution method agreed in advance.
Baseline
Cash conversion cycle 67 days, DSO 54 days
Target
Cash conversion cycle under 40 days within four quarters
Guardrail
Bad debt, CSAT and working capital no worse than baseline
Proof / attribution
Ledger-level reconciliation with matched control accounts
Next twin
Legal Twin →