Source intake
CRM, billing, contract, ERP, and forecast exports
Monarch AI
Automated access to repeatable Wysdome analytics.
Request standard Customer Cube, Data Pack, retention, concentration, and revenue movement views without treating every request as bespoke consulting.ContactInfrastructure
A governed stack for repeatable customer-revenue analytics.
Wysdome separates source intake, mapping, output generation, and professional review so each step can be inspected before a deal team relies on the final deliverable.Customer mapping
Account, product, period, cohort, segment, and geography
Output generation
Customer Cube schedules and Data Pack chart pages
Review controls
Definitions, caveats, exception log, and consulting escalation
Builder
An end-to-end workflow for financial-institution revenue evidence.
The platform route is not a generic dashboard. It is a controlled path from files to reviewable transaction outputs.source_pipeline.ts
const sourceFiles = intake.crm + intake.billing;const customerMap = reconcile(sourceFiles);return generateCube(customerMap, definitions);Monarch AI
Evidence BuilderDescribe the output, source systems, required definitions, and review constraints.Generate cube, Data Pack, and exception log...
task preview
Customer CubeData PackException LogSource-mapped
Inputs stay tied to customer records and source exceptions.
Reusable outputs
Cube and Data Pack patterns repeat across transactions.
Governed review
Definitions, caveats, and boundaries stay visible.
Scoped consulting
Commercial interpretation is separated from standard analytics.
Operational view
The standard analytics path stays visible from source files to outputs.
Monarch AI is the automated way to request standard Wysdome outputs while keeping source reconciliation, customer mapping, caveats, and consulting boundaries visible.Access model
AutomatedRepeatable Wysdome analyticsSource systems
6+CRM, billing, ERP, GL, contractsCore outputs
Cube + PackExcel and PPTX deliverablesConsulting
SeparateCommercial guidance when scopedWorkflow
From source files to automated standard outputs.
The platform is not strategic consulting and not just a dashboard. It is the automated route through source intake, cube reconciliation, signal generation, output delivery, and governance.Intake source exports
CRM, billing, ERP, GL, contract, forecast, and spreadsheet extracts are reviewed for fields, grain, date logic, and source conflicts.
Reconcile the cube
Customer, product, period, geography, vertical, channel, and cohort dimensions are mapped into one reviewable model.
Surface diligence signals
Upsell, downsell, churn, cross-sell, retention, LTV/CAC, concentration, forecast, and anomaly signals are ranked for review.
Generate the pack
IC-ready exhibits, buyer Q&A schedules, trend tables, customer cuts, and source exception logs are exported.
Data readiness
Built for the files deal teams actually receive.
Wysdome starts with the source exports that usually sit behind a data room, management presentation, or buyer request list. The first job is reconciling grain, fields, dates, account IDs, products, and metric definitions.Minimum useful inputs
Customer-level revenue history by month, quarter, or year
Customer identity fields that can support parent-child matching
Product or service-line identifiers tied to revenue where available
Contract, billing, renewal, and recurring-revenue fields if retention or ARR analysis is in scope
Management reporting definitions for revenue, ARR, MRR, bookings, churn, and expansion
Segment fields such as vertical, geography, channel, tier, size, or cohort
CRM exports
Salesforce, HubSpot, opportunity/account exports, customer owner files, pipeline snapshots, and segment fields.
Billing and subscription
Stripe, Zuora, Chargebee, invoice exports, ARR/MRR schedules, renewal tables, and usage billing files.
ERP / GL
NetSuite, SAP, GL exports, revenue reports, customer revenue by period, product revenue, and management reporting files.
Flat files
Excel, CSV, TSV, and structured spreadsheet exports with stable customer IDs, dates, product fields, and amounts.
Contracts and forecasts
Contract metadata tables, renewal schedules, commercial-term tables, budget files, and forecast workbooks.
Not supported as primary input
Scanned PDFs, screenshots, unstructured email threads, images of tables, payment card data, tax IDs, SSNs, and files without customer-level grain.
Diligence signals
Signals that expose revenue durability and upside.
Upsell and cross-sell
Whitespace, attach rate, product adjacency, customer tier, and segment-level expansion signals.
Downsell and churn
Customer-level contraction, logo churn, revenue churn, cohort decay, renewal exposure, and churn watchlists.
Retention and LTV/CAC
Gross retention, net retention, cohort quality, CAC payback, and lifetime value diagnostics where inputs support the calculations.
Projection support
Monthly, quarterly, and yearly forecast support by customer, product, cohort, segment, and scenario.
Cuts that matter
Geography, vertical, channel, product, customer tier, cohort, renewal window, and customer-size slices.
Top and bottom customers
Concentration, contribution, trend direction, volatility, anomaly ranking, and follow-up question generation.
Outputs
What Monarch AI can generate.
01Customer cube workbook02Quality-of-revenue analytics03ARR / revenue bridge04NRR and GRR scorecards05Cohort retention views06Customer concentration cuts07Recurring versus non-recurring support08Buyer Q&A support files09IC and lender exhibits10Data-room schedules11Projection workbooks12Metric definitions13Source-data exception log14Consulting deep-dive deck when scoped
See Data Pack structure and delivery policyQA and boundaries
Review controls stay explicit before outputs are relied on.
First-pass outputs are targeted within 5 business days after Wysdome receives complete source data, a signed engagement letter, agreed NDA coverage, and source-file access that is usable without material remediation.Reconciliation process
Source receipt check
Confirm file inventory, date ranges, customer IDs, product fields, currency fields, and required metric definitions.
Reconciliation
Compare cube totals to source exports and management reporting. Reconciled means totals tie within agreed tolerance or exceptions are documented.
Exception review
Surface unmapped customers, duplicates, missing dates, unsupported recurring flags, inconsistent product names, and currency issues.
Client sign-off
Before final delivery, the client reviews definitions, major exceptions, period logic, and source hierarchy assumptions.
Delivery QA
Check file names, version numbers, formulas, PDF exhibits, tab order, source references, and revision history.
AI disclosure
AI may assist with anomaly flagging, draft buyer questions, field classification, and documentation where permitted.
AI does not make investment, credit, valuation, legal, tax, accounting, or securities recommendations.
Human review is required before output delivery.
Source data and formulas remain reviewable; AI output is not treated as authoritative.
Wysdome's default policy is not to use client data or transaction outputs for model training; engagement-specific AI/API terms may be reviewed and approved in writing.
Boundaries
Monarch AI is the automated route into Wysdome outputs; consulting and custom commercial guidance are scoped separately.
Wysdome provides analytics and diligence workflow support, not investment, legal, tax, accounting, credit, valuation, or securities advice.
Metrics are source-mapped where client data supports them; incomplete or conflicting data is documented through exceptions.
Public email is for non-confidential qualification only. Sensitive files require an agreed intake process.