Use AI to prepare the follow-up, not pressure the client
Consulting firms often lose discipline around collections because invoice context sits in finance tools, project notes, partner emails, and client-service history. The RSM middle-market AI survey shows middle-market AI adoption growing, while the OECD report on AI adoption by small and medium-sized enterprises emphasizes that adoption depends on process ownership and data readiness.
The first workflow should gather invoice age, project status, open disputes, client owner, prior communication, and payment terms. AI can draft a follow-up note and escalation summary, but finance or the relationship owner should approve tone and timing.
Use workflow discovery to map where collections follow-up breaks down today.
Define client-data and communication controls
The NIST AI Risk Management Framework gives the right management frame: govern the workflow, map context, measure risk, and manage controls. For collections, controls include approved invoice sources, CRM or PSA context, reviewer rules, escalation thresholds, and audit logs for client communication.
Do not let AI send collections messages without review. The point is to prepare better context, reduce missed follow-ups, and keep the finance cadence consistent while preserving the client relationship.
Measure value with a disciplined AI ROI model. Track reduced missed follow-up, faster dispute resolution, cleaner handoffs to partners, and fewer manual status checks.
Turn follow-up into a weekly operating rhythm
The Deloitte State of AI report reinforces that AI value comes from process change. A consulting firm should review AI-assisted collections weekly: aged invoices, blocked items, owner assignments, next action, and client-sensitive exceptions.
The Gartner agentic AI project forecast is a caution against automating complex workflows before cost, value, data quality, and controls are clear. Collections is relationship-sensitive; keep human approval in the loop.
The next step is a 90-day implementation plan for the collections workflow, owner model, and value checks.
