Jovis AI
AI revenue leakage detection: a controlled workflow
Find contract, entitlement, usage, invoice, credit, and collection mismatches with a reviewable revenue-assurance workflow.
Articles
AI variance analysis: a controlled FP&A workflow
Build an AI-assisted variance workflow that preserves plan versions, quantifies drivers, links commentary to evidence, and keeps FP&A accountable.
AI spend analysis: a controlled procurement workflow
Build an AI-assisted spend analysis workflow that cleans supplier data, shows classification uncertainty, and turns findings into reviewable procurement decisions.
AI customer onboarding: a workflow for finding risk early
Build an AI-assisted B2B onboarding review that finds stalled accounts, assembles evidence, and routes the next decision to an accountable owner.
AI incident investigation: a controlled workflow
Use AI to assemble technical and customer evidence during a production incident while people retain command, mitigation, and communication decisions.
AI account reconciliation: a controlled workflow
Design an AI-assisted reconciliation workflow with deterministic matching, evidence-backed exception review, clear controls, and accountable approval.
How to investigate software delivery risk before a release
Build an evidence-based delivery risk review that connects planned work, code changes, deployments, incidents, and customer impact.
How to build a semantic layer for AI agents
Define metrics, entities, joins, permissions, and tests so AI agents can work with business data consistently and show their evidence.
How to measure AI agent ROI: a practical framework
Build a defensible AI-agent business case using a real baseline, quality-adjusted outcomes, full operating cost, and clear scale-or-stop gates.
AI anomaly detection for business metrics: a workflow
Design anomaly alerts that lead to evidence, accountable review, and action instead of adding noise to an operations queue.