AR collections that cut DSO without the chase.
Prioritize overdue accounts, draft context-aware outreach, capture promises to pay, and route disputes or strategic accounts to humans.
Nothing is finalized until a human approves it.
Where the time and money actually go.
Collectors work static aging lists, repeat generic emails, and lose time reconstructing invoice and dispute history before every conversation.
Collectors, account managers, billing and customer success teams
Trigger to act: DSO or past-due balance is increasing, collector capacity is constrained, customer growth outpaces finance headcount, or dunning is inconsistent across regions.
The result you can model before you sign.
Illustrative only: $4 million past-due portfolio × 0.5% incremental monthly acceleration = $20,000 cash accelerated. This is timing, not revenue, and must not be booked as profit.
The outcome, plainly: Prioritize overdue accounts, draft context-aware outreach, capture promises to pay, and route disputes or strategic accounts to humans.
Inputs in. A cited, review-ready result out. Your expert decides.
A Tool-using workflow agent. Every material fact is grounded in an allowed source and returned with its identifier, with no invented data.
Claude Sonnet 4.6 or GPT-5.6 Terra for complex grounded work; select by task-level evaluation; Gemini 2.5 Flash, GPT-5.4 mini or Claude Haiku 4.5 for high-volume routing and drafting. PostgreSQL + pgvector or managed vector store; Policy rules and evaluator service.
- Open invoices
- Aging
- Customer contacts
- Payment history
- Disputes
- Promises
AI-Native, not autonomous. Judgment stays with your people.
The machine does the work; the human’s role narrows to the one thing that matters, judgment. That constraint is what makes it safe to deploy.
Collectors approve concessions, payment plans, dispute resolution, credit hold, legal escalation, and all communication to sensitive/strategic accounts.
A scorecard, not a demo. We baseline what breaks in production.
Every deployment ships with an evaluation suite. These are the numbers we baseline before launch and monitor after.
The category is crowded. Most of it isn’t built for your workflow.
Fixed-scope, tuned to your systems and rules, grounded in your data, with the human gate and audit trail built in from day one. A price you own, not a subscription you rent.
It plugs into the stack you already run.
No rip-and-replace. Access is scoped to the minimum data necessary, isolated per tenant, and fully logged.
Transparent by design. The build price buys the workflow and the proof.
A fixed implementation fee plus a monthly bill that scales with volume and governance. No hidden seats.
- ✓ One process / scope
- ✓ Live workflow on your data
- ✓ Baseline evaluation suite
- ✓ Measured vs. current process
- ✓ Full scope & integration
- ✓ Human-review UI & audit trail
- ✓ Write-back to your systems
- ✓ Production evals & monitoring
- ✓ Multi-facility rollout
- ✓ Advanced security & compliance
- ✓ Custom control & escalation
- ✓ Dedicated evaluation program
10,000 to 35,000 workflow runs per month with modest document and model usage.
Planning assumptions, not vendor quotations. Your ERP and other platform licenses are separate and owned by you. Figures confirmed during scoping.
“His vast knowledge of technologies and a natural problem-solving mindset consistently lead us through complex challenges with clarity and confidence.”
Questions serious buyers ask.
Does the AI act on its own?
No. Collectors approve concessions, payment plans, dispute resolution, credit hold, legal escalation, and all communication to sensitive/strategic accounts. The system drafts and recommends; a human approves every consequential action. Explicitly excluded: no harassment; no unauthorized legal threat or fee; no autonomous credit hold, settlement, or payment plan; communication rules vary by jurisdiction and customer type.
How do you stop it inventing facts?
Every material claim is grounded in an allowed source record and returned with its source identifier. The system separates observed facts, model inference, and missing information, and routes to a human whenever confidence is low, evidence conflicts, or an adverse outcome is possible.
What does it cost to run each month?
A usage bill of roughly $400 to $3,100 per month (10,000 to 35,000 workflow runs per month with modest document and model usage), plus a $2,600 per month managed retainer for evaluation, monitoring and maintenance. Your existing platform licenses are separate and already yours. Exact figures are confirmed during scoping.
Do we need a ChatGPT or Claude subscription?
No consumer ChatGPT or Claude subscription is required for the production workflow. You need an approved API/cloud billing account. Workspace seats are optional for internal prototyping and administrator access.
How is this different from HighRadius?
Tools like HighRadius, Billtrust, and Versapay are broad platforms you adapt to. This is a fixed-scope implementation tuned to your systems and rules, grounded in your data, with the human gate and audit trail built in, and a transparent price instead of a seat subscription.
How long until it is live, and how do we prove it works?
We baseline DSO first, then measure against that baseline. You see the scorecard before expanding scope: the evaluation suite ships with the system, not as an afterthought.
Bring your real numbers. Leave with a fixed-scope plan.
A 30-minute engineering-led working session, no slideware. You leave with a sized opportunity estimate, a fixed-scope pilot plan, and the integration & human-review path mapped.
VP of Growth at ViitorCloud · senior delivery owner confirmed before paid work