Solution · Finance Operations
Invoice & Collections Agent: Cut Days-Sales-Outstanding Without Hiring AR Staff
Reduce DSO 20–35% by automating milestone billing, payment reminders, and escalation drafting — with humans approving every customer-facing action.
What this solution does
An invoice and collections agent watches your project, contract, or subscription systems for billing triggers, drafts the invoice with the right line items and PO references, sends pre-approved reminder cadences, and prepares escalation memos for AR review when accounts age past tolerance. It removes the repetitive AR drag without removing human judgment from the customer relationship.
The buyer problem
- ›AR team manually checking project milestones to know when to invoice
- ›DSO creeping up because reminders go out late or inconsistently
- ›Escalation conversations delayed by 'someone needs to draft the email'
- ›Disputes triggered by invoice errors that a human caught too late
- ›Finance leadership without real-time visibility into the AR queue
Good-fit signals
- B2B services, SaaS, or project-based businesses with $1M+ in AR
- Existing ERP or billing system with API or webhook access
- Project, contract, or subscription system that signals billing events
- Defined dunning policy you want enforced consistently
Pilot scope
In scope
- +Webhook or polling integration with your project / contract system
- +Invoice drafting with PO matching and line-item validation
- +Pre-approved reminder cadence (3–5 templates)
- +Aged-AR dashboard with risk scoring
- +Escalation memo drafting for AR review
- +Eval harness on 100 historical invoices
Out of pilot scope
- −Auto-sending invoices to customers (always AR-approved)
- −Payment processing or collections handover
- −GL coding changes or chart-of-accounts modifications
Timeline: 5–7 weeks · Investment: $22K–$45K fixed-price pilot
Systems we typically integrate
- NetSuite / QuickBooks / Sage / Xero (ERP / accounting)
- Stripe / Recurly / Chargebee (subscription billing)
- Salesforce / HubSpot (customer context)
- Asana / Jira / monday.com (project milestones)
- Slack / email (AR team notifications)
Where humans stay in the loop
- Every invoice draft reviewed by AR before send
- Escalation memos drafted but always sent by a human
- Discount or write-off recommendations require finance-leader approval
- Customer-tier exception rules require manual override
KPI scorecard
| Metric | Typical baseline | Pilot target |
|---|---|---|
| Days Sales Outstanding (DSO) | 45–75 days | Reduce 20–35% |
| AR time per invoice cycle | 20–40 min | Under 5 min review |
| Reminder send-on-time rate | 60–75% | Over 95% |
| Invoice error rate | 3–8% | Under 1% |
Risks and the controls we put in place
Invoice sent with wrong amount damages customer trust
AR review gate on every invoice; PO and contract values validated deterministically before draft.
Aggressive automated dunning damages relationships
Customer-tier rules pause auto-reminders for strategic accounts; relationship owner notified before any escalation.
Financial data exposure
Agent runs in your environment; no third-party model trains on financial data; SOC-2-aligned access controls and audit logs.
GL coding errors create month-end pain
Coding logic remains deterministic and rules-based; agent only fills in pre-mapped fields.
How we help
Deterministic + agentic by design
The math, the matching, and the GL coding stay deterministic. The agent handles drafting, prioritization, and communication — where judgment matters.
Cadence calibrated to your customer mix
Strategic accounts, mid-market, and SMB get different reminder rhythms, customizable in plain English by your AR lead.
Finance-leader dashboards
CFO sees DSO trend, aging buckets, agent vs. human override rate, and projected cash receipts — all from one view.
Audit-ready logs from day one
Every agent action is logged with timestamp, user, and rationale. External auditors get a clean trail.
Frequently asked questions
Will the agent actually send invoices to customers?+
Only if you explicitly opt in for a given customer tier. Most pilots keep AR approval on every invoice for the first 60 days, then graduate low-risk recurring invoices to auto-send.
How does the agent know when to invoice?+
It watches the events you choose — project milestones, contract anniversaries, subscription renewals, signed deliverables — and drafts the invoice when triggered.
Can it handle multi-entity, multi-currency billing?+
Yes. We have built agents that span US/EU/APAC entities, multi-currency invoicing, and per-entity tax rules. That complexity belongs in the deterministic layer, not the LLM.
What about chargebacks and disputes?+
The agent drafts dispute responses with full context (invoice, contract, communication history) for AR to review and send. It does not adjudicate disputes.
How is this different from our ERP's built-in dunning?+
Built-in dunning runs canned templates on a calendar. This agent reads relationship history, customer tier, and prior communication patterns to draft messages that sound like a human — and to know when to escalate to one.
Services that ship this solution
The capabilities we combine to put this pilot into production.
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Implement Agentic redesigns high-friction business processes with the right mix of deterministic automation, AI assistance, and governed AI agents — then integrates them with your existing systems, instruments outcomes, and runs a managed improvement loop. Based in Irvine, California and serving Orange County, Los Angeles, San Diego, and remote North American clients.
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MCP & Tool Integrations
The Model Context Protocol (MCP) is the emerging open standard for connecting AI agents to enterprise tools. At Implement Agentic, we inventory your tools, design MCP servers, implement gateway policies, and ship reference implementations — making your stack agent-portable so you can swap models, frameworks, and agents without rewriting integrations.
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AI-Native Process Implementation
An AI-native business process is a workflow designed so AI agents can participate directly in the work: gathering context, reasoning over business rules, coordinating with systems, requesting human approval, taking approved actions, evaluating outcomes, and improving from feedback. Implement Agentic designs, builds, and operates these processes for Southern California businesses.
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AI Governance & LLM Evaluation
Without evaluations, prompt or model changes silently degrade quality — and you only learn from customer complaints. At Implement Agentic in Irvine, we build comprehensive eval harnesses with golden test sets, LLM-as-judge scorers, deterministic validators, and CI/CD gates — plus governance frameworks that ensure your AI agents operate within policy, compliance, and ethical boundaries.
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Insights for buyers evaluating this solution
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From AI Pilot to Production: The Checklist Most Pilots Skip
Working output is the easy half. Eval suite, kill-switch, on-call, observability, drift monitoring, versioning, and change management — the operational layer that gets pilots actually shipped.
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AI Agent Security & Data Controls: What Procurement Will Ask
Model data handling, identity and ACL propagation, prompt-injection defenses, audit logging, residency, secrets, incident response. The eight controls procurement will require before sign-off.
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