Jovis AI
Turn recurring business questions into useful AI agents
Find a repeated, consequential question and turn it into a bounded AI-agent workflow with trusted sources, tests, an owner, and a clear next action.
Buyer journey
Automate an operational investigation
Turn recurring questions, reviews, and exception signals into evidence-backed workflows with a clear owner and next action.
- For
- Operations, revenue, customer-success, support, and executive teams running recurring business reviews.
- Problem
- Important questions bounce between systems and people, so evidence arrives late and the next action remains unclear.
- Outcome
- A repeatable investigation or report that connects live signals to accountable human review.
- Includes
- Pipeline risk, customer health, support themes, anomaly review, operating reviews, and recurring briefs.
How to investigate pipeline risk before the forecast meeting
Use a repeatable pre-forecast investigation to find stale activity, repeated slips, weak next steps, and customer signals behind the coverage number.
How to build an AI customer health monitoring workflow
Turn usage, support, relationship, and commercial signals into an evidence-based customer-success review with a clear owner and next action.
AI invoice processing: a controlled accounts-payable workflow
Design an AI-assisted invoice workflow that extracts records, checks matches and duplicates, routes exceptions, and keeps payment approval with accountable finance owners.
AI product roadmap prioritization: a controlled evidence workflow
Use AI to synthesize customer, product, support, and delivery evidence for roadmap decisions without handing prioritization judgment to a model.
AI contract obligation tracking: a controlled post-signature workflow
Design an AI-assisted contract obligation workflow that extracts commitments, assigns owners, monitors evidence, and keeps interpretation and action with accountable people.
AI accounts receivable collections: a controlled workflow
Design an AI-assisted B2B collections workflow that prioritizes receivables, prepares evidence for each account, and keeps customer outreach and concessions with accountable people.
AI customer credit review: a controlled B2B workflow
Design an AI-assisted customer credit review that assembles account evidence, applies policy checks, and leaves limit and order decisions with accountable people.
AI supplier risk monitoring: a controlled workflow
Build an AI-assisted supplier risk review that connects changing signals to business exposure, evidence, ownership, and a practical response.
AI cash flow forecasting: a controlled 13-week workflow
Build an AI-assisted cash forecast with governed inputs, explicit assumptions, evidence-backed adjustments, and accountable treasury review.
AI order exception management: a controlled workflow
Build an AI-assisted order exception workflow that finds blocked orders, assembles evidence, and keeps release decisions with accountable operators.
AI board reporting: a controlled board-pack workflow
Build an AI-assisted board reporting workflow with governed data, claim-level evidence, accountable review, and a reliable path to board decisions.
AI revenue leakage detection: a controlled workflow
Find contract, entitlement, usage, invoice, credit, and collection mismatches with a reviewable revenue-assurance workflow.
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.
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.
AI support ticket analysis: a practical workflow
Turn support conversations into evidence-backed product decisions with a repeatable process for themes, trends, review, and ownership.
What a good AI-enabled weekly business review looks like
Design a weekly business review that uses AI to surface movement and evidence while keeping judgment, ownership, and decisions with people.
From Slack question to decision: an operations workflow
Turn recurring questions in chat into governed investigations with clear evidence, ownership, and a documented decision.
The Monday question leaders should answer before lunch
A practical operating-review format for finding what changed, following the evidence, and making a decision before the meeting ends.