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Available Cash View
Latest authorised balances by entity, account, currency, and source, with refresh and reconciliation status.
Connect cash flow analysis, forecasting, scenarios, dashboards, and review workflows. Mimasa helps financial-services teams understand cash positions and prepare the next treasury decision.
Use AI agents to collect approved data, explain change, monitor configured signals, and prepare reports. Keep funding, payment, investment, and hedging actions under human control.
Connect cash data | Analyse flows | Prepare forecasts | Compare scenarios | Review action
Actual Cash
Latest authorised source view
Period · Source · Refresh · Reconciliation
Expected Flows
Confirmed and estimated items separated
Owner · Date · Status · Evidence
Forecast Range
Method and assumptions visible
Human Review
Scenario prepared · Decision pending
Approval before consequential action
Treasury teams often assemble balances, expected flows, forecasts, exposures, and tasks before they can decide. Mimasa can prepare a governed briefing from authorised sources.
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Latest authorised balances by entity, account, currency, and source, with refresh and reconciliation status.
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Configured inflows, outflows, maturities, and obligations, separating confirmed items from estimates.
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Differences from the last approved forecast version, linked to available drivers.
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Approved assumption comparisons that remain scenarios rather than predictions.
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Missing data, configured limit signals, unusual variances, overdue reviews, and failed steps.
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Pending approvals, assigned owners, due times, and completed actions.
A treasury briefing is only as current as its slowest material source.
Cash flow analysis examines where cash came from, where it went, and how the position changed.
In financial services, it may span entities, accounts, currencies, products, funds, obligations, and settlement timelines. Each view needs a clear source and period.
Mimasa connects analysis with forecasts and workflow. It does not decide how an organisation should borrow, invest, hedge, or move money.
Group cash by legal entity, business unit, fund, product, or another approved structure.
Keep available, restricted, pending, and expected amounts separate where configured.
Organise actual and expected movements by day, week, month, or an approved treasury period.
Show arrival time, reconciliation state, and whether a newer period is expected.
Name the team responsible for each source, assumption, exception, and decision.
The map exposes incomplete coverage. It must not show a false consolidated total when material data is missing.
Cash flow forecasting estimates future movements using available data and defined assumptions. It supports planning, but it does not remove uncertainty.
Step 1
Bring together authorised balances, expected receipts, obligations, maturities, plans, and approved inputs.
Step 2
Separate confirmed, scheduled, estimated, and scenario flows. Identify the owner and expected date.
Step 3
Apply approved mappings, currency treatment, calendars, and definitions while preserving original values.
Step 4
Use the selected method and assumptions for each horizon. Retain the forecast version.
Step 5
Compare prior versions, actual outcomes, known events, and analyst judgement.
Step 6
Record the approved forecast, monitor variance, and route material changes for review.
Cash forecasting should provide a range or scenario where uncertainty matters. A single number can create false precision.
A cash flow forecasting model may use historical patterns, scheduled items, owner inputs, statistical methods, or approved combinations.
| Flow Type | Example Basis | Confidence Treatment | Review Need |
|---|---|---|---|
| Confirmed | Authorised balance or completed event | Actual or confirmed | Check freshness and reconciliation |
| Scheduled | Contracted or system-scheduled event | Show date and source | Review material changes |
| Operational estimate | Approved plan or owner input | Show assumption and version | Owner review |
| Pattern-based forecast | Historical or configured method | Show method and error history | Analyst validation |
| Scenario value | Deliberate assumption change | Label by scenario | Decision-maker review |
| Missing input | Required source is unavailable | Do not silently estimate | Escalate or disclose limitation |
Keep actuals and forecasts visually distinct. Never convert missing information into an unexplained estimate.
AI cash flow forecasting can identify patterns, prepare drivers, and explain changes. Its output depends on data quality and relevance.
Automated cash flow forecasting should automate repeatable preparation and monitoring. It should not execute a funding or investment decision.
Reviewers can correct drivers, change assumptions, reject outputs, and preserve the reason.
Cash flow forecasting software ranges from spreadsheet tools to treasury platforms and AI-enabled applications.
Cash forecasting software should make uncertainty visible. Cash flow forecasting tools should also fit the wider treasury workflow.
Mimasa adds intelligence and orchestration around approved systems. It is not a replacement for every treasury platform.
A cash flow dashboard should help users answer a question. Every chart should support drill-down to its source, period, definition, and assumption.
Approved cash views by entity, account, currency, and status, with data time and source coverage.
Historical movements, expected events, and forecast ranges across the selected horizon.
An approved forecast version compared with outcomes and source-linked variance context.
The effect of explicit assumption changes, with base and alternatives clearly labelled.
Missing inputs, unusual changes, configured limits, and reviews awaiting action.
Owners, due dates, approvals, blocked steps, and completion history.
A treasury dashboard adds operational and decision context around cash. It can combine positions, forecasts, exposures, limits, maturities, tasks, and approvals.
Source status, forecast drivers, variances, and open tasks.
Consolidated position, scenarios, limits, and pending approvals.
Material changes, liquidity outlook, working-capital signals, and decision history.
Source lineage, assumptions, overrides, and approval evidence.
Apply the organisation's access rules. Do not show every user the same sensitive detail.
Working capital analytics can show how receivables, payables, inventory, settlement cycles, and approved drivers affect cash.
“Which approved drivers explain the largest forecast change?”
“Where are expected receipts later than the prior plan?”
“Which obligations moved into the next forecast period?”
“How does the selected scenario change the cash outlook?”
“Which entities have incomplete working-capital inputs?”
The analysis should not claim causation without evidence. It should link summaries to underlying data and assumptions.
A scenario changes explicit assumptions. It is not a prediction or an approved treasury decision.
Show the owner, version, horizon, selected cash effect, data gaps, and required review for each scenario.
An AI agent may prepare the comparison. An authorised person decides how the organisation responds.
Scenario 1
Approved assumptions · Current version
Illustrative values withheld · Limitations visible
Scenario 2
Alternative · Owner review required
Illustrative values withheld · Limitations visible
Scenario 3
Alternative · Approved rate source
Illustrative values withheld · Limitations visible
Scenario 4
Alternative · Organisation-defined conditions
Illustrative values withheld · Limitations visible
Treasury automation connects analysis with the work that follows. It can coordinate tasks without granting uncontrolled authority.
AI in treasury should support evidence-based work. It should not hide assumptions or remove authority from accountable professionals.
Collects authorised balances and flow inputs. Flags missing, stale, duplicate, or conflicting records.
Prepares a forecast using an approved method and assumptions. Preserves the version and drivers.
Compares forecast and actual values. Drafts an explanation from available evidence.
Applies explicit assumptions and compares results. It does not recommend a transaction.
Creates tasks, monitors limits and deadlines, routes approvals, and prepares reports within assigned permissions.
Cash flow analysis software should connect every important result to its source and period.
Users should see how transformations and assumptions affected the view. Mimasa does not replace the accounting or treasury system of record.
Mimasa can use authorised information where access and integration are configured.
The source system remains authoritative for its own data and action. Named connectivity is not implied.
Treasury information is sensitive and supports high-impact decisions.
The organisation remains responsible for treasury policy, model governance, accounting, regulation, and decisions. Mimasa does not guarantee compliance or provide investment, accounting, tax, or legal advice.
Do not show invented improvement figures. Each organisation defines its baseline and targets.
A lower forecast error does not mean every decision was correct. Review the method, data, horizon, and context together.
Create Governed Recurring ReportsStart with one treasury decision and a clear approval boundary. Expand only from validated outcomes.
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Start with a defined cash view, horizon, user group, and review process.
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Define each entity, account, currency, period, owner, refresh schedule, and reconciliation status.
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Document methods, assumptions, confirmed events, scenarios, and prohibited automated actions.
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Set preparers, reviewers, approvals, alerts, limits, deadlines, and escalation rules.
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Test late data, missing accounts, duplicates, currency changes, outliers, and revised assumptions.
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Compare forecasts with actuals. Review overrides, missed steps, data gaps, and feedback.
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Add entities, horizons, sources, and actions after the current scope is validated.
Connect authorised cash, expected-flow, forecast, scenario, and task information.
Link each material view to its source, period, method, and assumptions.
Separate confirmed flows, estimates, scenarios, and missing information.
Use agents for preparation and coordination while people control action.
Route alerts, reviews, approvals, reports, and permitted next steps.
Operate in cloud, private-cloud, or on-premises environments according to enterprise needs.
Match bank, ledger, payment, settlement, and investment records before analysis.
Research investments and prepare portfolio or committee views.
Investigate transaction and settlement exceptions.
Collect evidence, test configured controls, and track findings.
Monitor borrower and credit portfolio signals in banking.
Clear answers about cash analysis, forecasting, treasury automation, dashboards, AI agents, and human control.
Connect cash data, forecasts, scenarios, AI agents, reports, and human approval. Start with one treasury decision and build from verified outcomes.