Voice AI Agent
What is a voice AI agent for AR collections?
A voice AI agent makes outbound collection calls to customers with past-due invoices, conducting natural conversations to request payment, understand objections, and document outcomes. You maintain control over who gets called. The agent logs complete call details with disposition codes in your ERP.
voice agent · outbound call
"Hello, this is calling regarding invoice #4092 for $1,250 due last Friday..."
SENTIMENT
Cooperative
DISPOSITION
Payment Promised
Logged to ERP · disposition code + timestamp
$75,000
ANNUAL LABOR COST
For one full-time collector (150-200 calls/week)
60-80
CALLS REQUIRED WEEKLY
Just to touch every past-due account once
CALL 10
CALL 50
Caller Fatigue:
Making collection calls is repetitive. Staff performance degrades. The 50th call gets less attention than the 10th.
Emotional Variability:
Frustration from a difficult earlier call affects the next conversation. Bad days produce inconsistent results.
Unconscious Bias:
Collectors develop assumptions about which customers will pay. These assumptions affect call priority and tone.
Inconsistent Approach:
Different collectors use diff. tones. The same customer might get different treatment depending on who calls.
Documentation Gaps:
After 30-40 calls, notes get shorter. Key details like sentiment and specific objections get missed.
Step-by-step process flow:
You Select Who to Call
It starts with your control. The agent presents a dashboard of past-due accounts with aging, amount, and customer info.
Agent Places the Call
The agent dials directly from your ERP context.
Conducts the Conversation
Speaks naturally using prompts you have defined.
"Hello, this is calling regarding invoice #4092 for $1,250 due last Friday..."
Handles Customer Responses
Intelligent handling of common scenarios and objections.
Real-Time Sentiment Analysis
Listens to tone and word choice to adjust approach.
Documents the Outcome
Records a specific Disposition Code for every call.
Logs complete details and timestamps directly in your ERP.
Escalates When Needed
Recognizes trigger phrases and transfers immediately.
Provides Dashboard Visibility
Full oversight of the automated workforce.
Natural Conversation
The agent speaks fluently and naturally using conversational language you define. You control exactly what it says in different scenarios: opening greeting and introduction, how to state invoice details and payment requests, responses to common questions and objections, how to handle difficult customers (patient but persistent), when to offer payment arrangements vs. request full payment, and escalation language. This flexibility means the agent speaks with your company's voice and approach while maintaining consistent, professional delivery.
Sentiment Analysis:
Analyzes customer voice tone, pace, word choice, and emotional cues. Identifies whether customer is cooperative, frustrated, evasive, or agreeable. This context helps prioritize follow-up and escalation decisions, not score customers. Sentiment data logs for pattern analysis across your customer base.
Disposition code Docs:
Automatically assigns disposition codes based on call outcome. Standard codes include: Payment Promised, Dispute Raised, Callback Requested, Voicemail Left, Wrong Number, Needs Escalation. You define additional codes specific to your business. All codes logged to ERP for reporting and analysis.
Dashboard and reporting
Real-time visibility into calling activity. See who was called, when, call duration, outcome, sentiment detected. Review calls requiring human follow-up. Track payment promise fulfillment. Analyze patterns in disposition codes by customer segment or aging category.
Human Control & Override:
You select which accounts get called each session. You can pause calling at any time. You can exclude specific customers from calling (strategic accounts, sensitive situations). You review agent prompts and adjust language. The agent assists your process, doesn't replace your judgment.
Consistent Performance:
Every call follows the same approach, script and escalation rules, from the first call of the day to the last. The agent does not skip difficult accounts or shorten conversations when the queue is long. Every call is logged with the same level of detail, which keeps collection practice consistent and auditable.
Representative outcomes from agent implementations:
3-5x
Call Volume Increase:
Companies typically handle 3-5x more collection calls with voice agents than with human callers. A team making 50-60 calls weekly can now make 200-250 calls weekly. This means every past-due account gets contacted systematically, not just large balances.
60-70%
Staff Time Reallocation:
Collection staff time spent on routine calls reduced 60-70%. A team spending 20 hours weekly on calls now spends 6-8 hours on complex accounts, disputes, and payment arrangements. Agent handles routine payment requests and promise tracking.
Consistency Improvement:
Every customer receives the same professional, courteous approach. No variable tone based on caller mood. No unconscious bias. No fatigue effect. Customers report more consistent and professional collection experience.
Sentiment Data Insights:
Voice agent tracks sentiment patterns across customer base. You can identify which customers consistently respond cooperatively vs. defensively. This informs credit decisions and account management approach. Patterns invisible in manual calling become visible and actionable.
Documentation Quality:
Complete records of every call with exact disposition codes and sentiment analysis. No missing notes. No forgotten details. Full audit trail for compliance and performance analysis.
15-25%
DSO Improvement:
Systematic calling on all past-due accounts (not just large ones) typically produces 15-25% DSO reduction. Smaller accounts that previously waited for attention now get timely calls. Early contact prevents accounts from aging deeper.
$5.5M
Working Capital Impact:
For a $200M company with 50-day DSO, reducing to 40 days frees approximately $5.5M in working capital. For a $100M company, 10-day improvement frees $2.7M.
Staff Satisfaction:
AR teams report higher job satisfaction when voice agent handles routine calls. Staff focus on relationship management, problem-solving, and complex accounts. Less time spent on repetitive, emotionally draining calls.
ASPECT
AI Agent
Human Callers
Coverage
All past-due accounts systematically
Prioritizes large balances
Staff time requirement
6-8 hours weekly (oversight)
15-20 hours weekly (calling)
Disposition coding
Automatic, standardized
Manual, inconsistent
Escalation handling
Immediate transfer with context
Natural handoff
Best for
Routine payment requests, high volume
Complex negotiations, relationships
Call volume capacity
200-250 calls weekly
50-60 calls weekly
Tone consistency
Consistent every call
Varies by mood, fatigue
Emotional neutrality
No emotions, no bias
Unconscious bias, emotional reactions
Documentation quality
Complete, automatic, coded
Variable, depends on diligence
Sentiment capture
Analyzed and logged every call
Rarely documented
Timeline: 6-8 weeks from kickoff to production
KICKOFF → PRODUCTION
Week 1
WEEK 1-2
Discovery
WEEK 3-5
Development
WEEK 6
Testing
WEEK 7-8
Pilot deployment
Your involvement:
Agent monitors its own performance and suggests rule adjustments. You review and approve changes quarterly or as needed.
We recommend a 90-day pilot with focused scope:
OPTION 1
Customer Tier Pilot
Start with tier 2 or tier 3 customers (mid-volume, standard terms). Excludes strategic accounts that receive high-touch service.
OPTION 2
Invoice Size Pilot
Start with invoices under $5,000 or $10,000. High volume, lower individual risk, clear measurement opportunity.
OPTION 3
Aging Category Pilot
Start with accounts 15-45 days past due. Excludes very fresh aging (might pay without contact) and severe aging (already in escalation process).
How does sentiment analysis work?
Agent analyzes voice characteristics (tone, pace, volume, word choice) to identify emotional context. Sentiment codes include: Cooperative, Frustrated, Evasive, Agreeable, Angry, Confused. This data logs to ERP and appears in dashboards for context in follow-up decisions and pattern analysis, not customer scoring. You can see which approaches work best with which customer types.
Can we control what the agent says?
Yes, completely. You define conversation prompts for different scenarios: opening greeting, payment request, responses to objections, escalation language. You can be as formal or casual as fits your company culture. Prompts can be updated anytime.
What disposition codes does it use?
Standard codes: Payment Promised (with date), Dispute Raised, Callback Requested, Voicemail Left, Wrong Number, Needs Escalation, Requested More Time. You can define additional codes specific to your business (e.g., "Check in Mail," "Waiting for Manager Approval," "System Issue Preventing Payment").
What if a customer gets angry or demands a human?
Agent recognizes escalation triggers ("I want to talk to a manager," angry tone, abusive language) and transfers immediately to human staff with full context. You define which phrases or tones trigger instant escalation.
What if our ERP system updates?
Agent integrates through standard telephony systems and ERP APIs. ERP version changes typically do not affect voice calling capability. Disposition code logging might need configuration review after major ERP updates, but core functionality continues.
Do customers know they are talking to an AI agent?
The agent identifies appropriately in the opening ("This is calling from [Company Name] regarding invoice payment"). Most customers focus on the message, not who is delivering it. The agent sounds natural and professional. If asked directly, it can acknowledge being an automated system.
How many calls can the agent make per day?
Capacity depends on average call length and your operating hours. Typical setup handles 40-50 calls per day (200-250 weekly). This is 3-5x what a human caller manages. You control daily volume based on your review capacity. If required, you can configure the system to make calls from multiple lines and increase the call volume.
Can I choose which customers to call?
Yes. This is a key feature. Agent presents dashboard of eligible accounts. You review and select who gets called. You can exclude sensitive accounts, strategic customers, or accounts with special circumstances. Full human control over who receives calls.
How do we measure success?
Primary metrics: call volume handled, disposition code distribution (more "payment promised" vs. "needs escalation" indicates effective conversations), sentiment analysis patterns (more "cooperative" vs. "frustrated"), DSO reduction, staff time savings. Most implementations show measurable improvement within 60 days.
Can customers call back and reach a human?
Yes. The agent provides your standard contact number. Inbound calls from customers go directly to human staff. Agent only makes outbound collection calls you have selected.
Discuss your AR collections process, volume, and whether an agent pilot makes sense for your situation.
