Governed signal layer
Bring together approved financial, commercial, supply-chain and external signals without replacing the systems that remain authoritative.
- Source mapping and ownership
- Data-quality checks
- Business definitions and lineage
Platform
The operating layer between raw signals and accountable action.
Finovant brings forecasts, anomalies, explanations, approvals and impact measurement into one governed workspace designed for finance-led decisions.
Core capabilities
A complete decision workflow—not a disconnected set of charts.
Capabilities are configured around the use cases, data sources, controls and acceptance measures defined in the implementation statement of work.
Rolling forecasts and scenarios
Refresh outlooks as underlying conditions move, compare scenarios and retain the assumptions behind each version.
- Revenue, cash and demand outlooks
- Scenario ranges and sensitivities
- Confidence and driver analysis
Impact-ranked anomaly detection
Identify unusual movements and prioritize them by business consequence instead of presenting teams with an undifferentiated alert queue.
- Variance and threshold detection
- Materiality-based ranking
- False-positive review workflow
Explainable decision evidence
Attach the data sources, drivers, assumptions and confidence behind an insight so accountable reviewers can challenge it before acting.
- Driver contribution
- Source evidence
- Human review and override history
Action and approval workflows
Route a recommendation to the right owner, capture approvals or overrides, and place a review gate around high-impact actions.
- Role-aware routing
- Approvals and comments
- Review dates and escalation
Decision impact measurement
Compare the expected and realized result so finance can understand whether a model and the operating action actually created value.
- Baseline and target definition
- Expected-versus-realized impact
- Model and workflow improvement
Reference architecture
Designed to complement the data and application stack you already run.
Exact hosting, connectivity and control patterns are confirmed during technical assessment and documented in the SOW.
Systems and signals
ERP, planning and finance
Data warehouse and lake
CRM and customer platforms
Supply-chain and vendor systems
Approved external indicators
Finovant decision layer
Business definitions and signal quality
Forecasting, scenarios and anomaly detection
Driver explanation and confidence
Decision cases, approvals and review gates
Expected-versus-realized impact
Operating surfaces
Executive decision briefs
Finance and operating workspaces
Email and approved notifications
BI, API and workflow integration
Audit and acceptance reporting
A transparent operating view
Every number keeps its context.
Decision owners can see how a figure was produced, what changed since the previous view, which assumptions matter and where human judgment entered the process.
LineageTrace source, transformation, business rule and output.
ConfidencePresent ranges and uncertainty rather than a false single-point certainty.
OverridesCapture who changed a recommendation, why and what happened afterward.
MaterialityRank attention according to agreed financial or operational impact.
Revenue outlook$48.6M+4.8% vs operating plan
Cash opportunity$930kWorking-capital release
13-week operating signal
Open decisions07Two need approval
Forecast confidence91%Within accepted range
Implementation controls
Configured around how your organization makes decisions.
Finovant is delivered into a dedicated customer workspace after data, identity, governance and success criteria are agreed.
Integration scope
Approved systems, refresh patterns, failure handling and ownership are documented before production use.
Workspace design
Roles, business units, decision domains and access boundaries reflect the customer operating model.
Control requirements
Review gates, approval paths, retention and evidence requirements are included in the implementation design.
Acceptance plan
Forecast performance, workflow fit and data quality are evaluated against explicit entry and exit criteria.
Change management
Material changes to data, logic and operating workflows are introduced through an agreed review process.
Value measurement
Each use case is connected to a business metric and a method for comparing expected and realized impact.