Jovis AI
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.
Implementation guides
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 agent orchestration in the enterprise: a practical architecture guide
Choose between deterministic workflows, single agents, and multi-agent orchestration by matching coordination complexity to a real business job.
AI vendor master data review: a controlled change workflow
Design an AI-assisted vendor master change review that verifies payment-impacting updates, exposes duplicate risk, and keeps approval with accountable finance owners.
How to run a 30-day AI agent pilot without losing control
A practical 30-day plan for testing one AI agent on a real business workflow with clear scope, shadow mode, human review, and a go-or-stop decision.
AI inventory forecasting: a controlled demand-planning workflow
Design an AI-assisted inventory forecasting workflow that connects demand signals to replenishment decisions, exposes uncertainty, and keeps planners accountable.
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.
How to build an AI escalation matrix for business-data workflows
Design escalation tiers that decide when AI outputs can run automatically, need human review, or must be routed to leadership. Use one matrix to protect speed, ownership, and decision quality.