Apple Debt Relief

Contacts: isaac-cohn | daniel-walsh

Recent meetings: 2026-04-27-apple-debt-oneai-agent-status-update | 2026-02-18-apple-debt-relief-oneai-kickoff | 2026-02-17-apple-debt-relief-oneai-kickoff-pre

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Account Summary

Apple Debt Relief is a US-based direct debt relief company founded by Isaac Cohn, who shifted the business from brokering to direct services in the interest of transparency and ethics. OneAI is running an outbound AI voice agent targeting older and inactive leads, with the goal of qualifying prospects and warm-transferring them to human debt relief specialists. The account is live but early-stage: answer rates are reasonable but conversion is low, primarily due to gatekeeper friction and lead quality concerns.

Use Case

The AI agent makes outbound calls to Apple Debt Relief’s older and inactive lead lists. Its role is to simplify the qualification conversation — establishing basic debt relief interest quickly — and then perform a warm transfer to a human specialist to close. The focus is on volume re-engagement: surfacing any value from leads that have gone cold. A/B script testing is in progress to identify which approach drives better transfer rates.

Relationship Health

🟡 Needs Attention — Only 3 meetings over ~10 weeks, the core conversion problem (2% rate, gatekeeper blocking) remains unresolved, and the last meeting was 37 days ago with open action items not yet confirmed as completed.

Key Contacts

• Isaac Cohn (isaac@appledebtrelief.com) — Founder and primary contact. Present in all 3 meetings. Responsible for providing lead lists, CRM access, call script updates, and reviewing call recordings. Decision-maker.
• Daniel Walsh (daniel@appledebtrelief.com) — Joined in the April 27 status update. Responsible for reviewing AI voice options and sharing recordings of human agent calls to help inform the AI’s tone and approach.

What’s Working

• Agent is live and making outbound calls — moved from kickoff to production within the first few weeks
• 10–16% answer rate on older/inactive leads, which is reasonable given lead age in the debt relief vertical
• A/B script testing is underway, creating a structured path to improve performance through iteration
• Team is engaged: both Isaac and Daniel joined the April meeting, broadening stakeholder involvement

Open Challenges

• 2% conversion rate — the primary problem. Callers are reaching secretaries and gatekeepers rather than decision-makers, blocking transfers to debt relief specialists
• Lead quality — leads are older and inactive; this vertical is inherently harder with lower answer and interest rates. There is a known pattern of customers initially sending poor-quality lists to “test” the AI before committing better data
• Gatekeeper script — the current script does not adequately convey credibility or urgency to get past gatekeepers; a revised script is in progress but not yet deployed
• Voice not yet optimised — Daniel was asked to provide top 3 preferred AI voices after the April 27 meeting, but this has not been confirmed as delivered
• Creditor data missing — Isaac was asked to send an updated contact list including creditor names for a new outbound script; status unknown

Open Action Items

From the 2026-04-27 meeting:

• Daniel Walsh: Provide top 3 preferred AI voices for voice experiments. Share recordings of human agent calls to help AI team understand business context and tone.
• Isaac Cohn: Send updated contact list including creditor names for new outbound script. Review call recordings and analyse what distinguishes successful vs. unsuccessful transfer attempts.

Recent Meeting Highlights

• 2026-04-27 — Agent Status Update (53 min): First post-launch review. Established answer rate (10–16%) but flagged low 2% conversion due to gatekeeper blocking. Agreed to revise script to emphasise credibility and urgency. Daniel joined for the first time; assigned to voice selection and sharing human call recordings.
• 2026-02-18 — Kickoff (67 min): Full kickoff. Defined the use case (older/inactive leads → warm transfer to specialists), agreed on required data fields (name, phone, creditor, timezone), and outlined CRM access, simplified call script, and CNAM string verification as setup tasks for Isaac.
• 2026-02-17 — Pre-Kickoff (11 min): Short pre-kickoff session. Addressed invoice dissatisfaction and agreed to revise it for transparency. Daniella committed to faster email response times. Confirmed the live call campaign approach with A/B script testing.

Meeting History (3)

• 2026-04-27 — Apple Debt <> OneAI: Agent Status Update
• 2026-02-18 — Apple Debt Relief <> OneAI: Kickoff
• 2026-02-17 — Apple Debt Relief <> OneAI: Kickoff (Pre)

Prep Tips for Next Meeting

• Lead with the open action items: confirm whether Isaac sent the updated contact list with creditor names, and whether Daniel submitted his top 3 voice preferences and call recordings
• Ask whether a revised gatekeeper-focused script has been drafted or deployed — this is the single biggest lever on conversion
• Review any new call recording data together; if Isaac has analysed successful vs. unsuccessful transfers, use those findings to shape the next script iteration
• Probe lead list quality: ask whether Isaac is ready to provide a fresher or higher-quality list now that the initial “test” phase is complete
• Benchmark: 2% conversion on older debt leads is low but not unusual — set a realistic target for the next 30 days (e.g., 4–5%) and agree on what changes need to happen to reach it
• Confirm voice experiments timeline: if Daniel’s preferences are in, push for a quick A/B voice test alongside the script changes