Most voice bot deployments for invoice collection fail for the same reason: the RFP allows 3 to 6 months, half the budget goes into detailed functional specifications, and the solution arrives six months too late with an obsolete scope. Modern voice AI agent platforms now enable a different rhythm: full deployment in 7 days, from scoping to supervised go-live. This article details the day-by-day plan, the pitfalls to avoid, and the 20-point pre-go-live checklist we use on every project.
Why 7 days, and why 3-month projects fail
A voice bot project is no longer, in 2026, a development project. It is a configuration project. The heavy building blocks — speech recognition engine, neural synthesis, telephony handling, GDPR compliance — are pre-integrated in the SaaS platform. What remains for the client company is: connecting their data sources, configuring their business scripts, testing, launching.
Projects that stretch over 3 months typically suffer from four pitfalls: over-detailed specs that become obsolete before delivery; attempts to rewrite building blocks already available in the platform; committee-based validation slowing every decision; "custom" integrations when a native connector exists. Compressing to 7 days forces teams to choose tools that work out of the box and to accept a reasonable initial scope, to be expanded in V2.
Day 1 — Scoping
Day 1 — Scoping (half a day is enough)
Half-day kickoff meeting, ideally in person or over dense video. Participants: credit manager (business sponsor), IT lead (integrations), order management lead (business rules), Chief Compliance Officer or DPO (compliance), Vocalis project manager.
Deliverables expected by end of day:
- Precise scope: which invoice segment, which minimum amount threshold, which geography, which exclusions (sensitive large accounts, litigation files)
- Draft scripts validated for 3 scenarios: pre-due-date, short post-due-date (D+5 to D+15), long post-due-date (D+15 to D+45)
- Quantified target KPIs: DSO at 90 days, promise-kept rate, expected RPC
- List of systems to integrate (CRM, billing, ERP) with technical contacts
- GDPR validation: legal bases, retention duration, opt-out, debtor notice
Days 2-3 — CRM / ERP / Billing integration
Days 2-3 — Integration (2 full days)
Most technical phase. Goal: establish a bidirectional flow between the invoice source system and the voice platform. The bot must be able to extract eligible overdue invoices in real time and return each call result (promise, dispute, unreachable, refusal) into the source system.
Frequent native connectors:
| Category | Supported solutions | Method |
|---|---|---|
| CRM | HubSpot, Salesforce, Pipedrive, Zoho | Native REST API or webhooks |
| Billing | Sellsy, Pennylane, Axonaut, QuickBooks | REST API |
| ERP | Sage 100/1000, Cegid, SAP Business One, Odoo | API, middleware or scheduled CSV export |
| Telephony | Ringover, Aircall, 3CX | SIP trunking |
For a legacy ERP without a modern API, an automated CSV flow every 4 hours remains acceptable in V1. Real-time optimization can be added after go-live.
Day 4 — Voice script, conversation branches and compliance
Day 4 — Script + compliance
The script is not a monologue: it is a conversation tree. The AI agent must know how to react to a dozen typical situations and, for each, ask the right next question.
Minimum branches to plan:
- Debtor confirms invoice receipt → ask for PTP
- Debtor denies receiving the invoice → offer immediate email + SMS send
- Debtor raises a dispute → log the reason and route to order management within 4h
- Debtor promises payment → record date + amount + method
- Debtor requests a payment plan → offer a standard plan (3x, 6x) or escalate
- Debtor refuses to discuss → log refusal, reschedule D+7 (first refusal) or escalate (second refusal)
- Voicemail → leave a compliant message and call back the next day at a different time
- Wrong contact → ask to be transferred to accounting
- Callback request → schedule the exact slot
- Aggressive debtor → de-escalate, offer a human callback within 24h
Mandatory disclosures to include at call opening:
- Clear identification of the caller (creditor company)
- Purpose of the call (collection of an unpaid invoice)
- Disclosure of any call recording
- Opt-out notice ("you can request to no longer be contacted at any time")
Respect of telecom and collection practices: calls allowed 8 a.m. to 8 p.m. Monday to Friday, 9 a.m. to 8 p.m. Saturday in France; 8 a.m. to 9 p.m. local debtor time in the US under TCPA. No calls on Sundays or public holidays. The bot automatically blocks unauthorized slots. See our detailed article GDPR and voice AI: compliance.
Day 5 — Internal tests (mirror team calls)
Day 5 — Internal QA
Neglected phase that conditions go-live success. The internal team plays, in turn, the role of each debtor profile facing the bot. Each conversation branch must be tested at least twice, with different intonations, accents and interruptions.
Day 5 test checklist:
- Test of each conversation branch with 2 different voices (male/female)
- Test in a noisy environment (car, open space) to validate ASR robustness
- Test of language transitions (some debtors answer in a different language or regional dialect)
- Test of human escalation: does the transfer work without break?
- Test of dispute routing: does the ticket arrive in CRM within 4h?
- Compliance test: no call outside legal hours during simulated scheduling
- Recording test: audio quality, timestamping, restricted access
Day 6 — Pilot test on 50 real debtors
Day 6 — Supervised pilot
First contact with real debtors, on a deliberately restricted (50 cases) and supervised sample. A supervisor listens live to 15 to 20 calls and flags any deviation. The goal is not to validate perfection, but to detect errors invisible in internal testing.
Pilot success criteria:
- RPC (Right Party Contact) ≥ 45%
- Rate of calls carried to the end (not interrupted by the debtor) ≥ 70%
- Zero complaints of inappropriate tone / harassment
- ERP/CRM feedback functional at 100%
- At least 2 disputes detected and correctly routed
If these thresholds are not met, adjust scripts during the day and run a new mini-pilot of 20 calls that evening or the next morning. If deviations are structural, go-live is pushed back 48 to 72 hours — still well below a classic project.
Day 7 — Go-live and monitoring
Day 7 — Production launch
Bot activation on the entire segment scoped on day 1. Real-time dashboard enabled for the credit manager and CFO. The first days post-go-live are critical: a short daily stand-up (15 minutes) allows teams to detect and fix micro-deviations before they compound.
Minimum day-7 monitoring dashboard:
- Volume of calls placed / answered / completed
- Average call duration
- Outcome distribution (promise, dispute, unreachable, refusal)
- Alerts: out-of-hours calls (must stay at 0), opt-outs logged, incoming complaints
- Random listening of 5% of calls by the credit manager for quality control
Pre-go-live checklist: 20 boxes to tick
- Target segment scope formalized and validated by the sponsor
- Named list of eligible invoices extracted and checked
- Contact data (phone numbers) cleaned, valid number rate > 85%
- CRM connector tested bidirectionally
- Billing connector tested bidirectionally
- ERP connector tested or scheduled CSV flow
- Scripts validated by credit manager and order management
- All conversation branches tested internally
- Mandatory disclosures included at call opening
- Opt-out functional and tested
- Legal calling hours configured and blocking
- 2026 public holidays loaded in the calendar
- Human escalation procedure operational
- Dispute routing → order management tested, 4h SLA defined
- Compliant recordings: timestamping, restricted access, retention duration
- DPIA (Data Protection Impact Assessment) performed if required
- Prior debtor notice via letter/email or contractual clause
- Real-time dashboard accessible to authorized users
- Support team briefed and trained to handle debtor feedback
- Rollback plan documented in case of major anomaly
Plan B — What to do if a day derails
Out of 100 deployments, 15 to 20 hit a blocker on one of the 7 days. Here are the pre-defined fallbacks:
- Integration blocker (day 2-3): switch to a manual CSV flow scheduled every 4h. V1 works, V2 brings the API back after go-live.
- Unvalidated scripts (day 4): start from the platform's default generic script, customizable in V2. Perfect is the enemy of launch.
- Disappointing pilot tests (day 6): push go-live 48-72h, readjust, relaunch a mini-pilot of 20 calls. Never force a go-live that misses criteria.
- GDPR / compliance doubt: stop and obtain a written DPO opinion before resuming. No business gain offsets a sanction risk.
"We launched our bot in 6 days. Day 7, 1,200 invoices called. The hardest part wasn't the tech, it was convincing the team we could start without having everything." — Collections lead, B2B services company
After go-live: the first 30 days
Day 7 is not an arrival but a departure. The following 30 days serve to:
- Refine scripts based on unanticipated cases (week 2-3)
- Expand scope to a second segment if KPIs are good (week 3)
- Integrate first debtor service feedback (continuous)
- Present results to leadership in committee (end of week 4)
- Adjust A/B/C/D scoring with actually observed behaviors
FAQ
Why 7 days and not 3 months like a typical IT project?
Because a modern voice bot relies on pre-integrated SaaS building blocks (CRM connectors, voice engines, scoring). The 3 months of classic projects often correspond to useless custom development. In 7 days, you configure more than you develop.
Which CRM/ERP integrations are covered?
The most common: HubSpot, Salesforce, Pipedrive on the CRM side; Sellsy, Pennylane, Axonaut on the billing side; Sage, Cegid, SAP on the ERP side. Any solution exposing a REST API or webhooks can be connected.
Is the bot GDPR and telecom compliant?
Yes, subject to correct configuration: respect of calling hours (8 a.m. to 8 p.m. weekdays in France; 8 a.m. to 9 p.m. per US TCPA), recording disclosure at opening, immediate opt-out, parameterized retention durations, EU hosting.
What happens if the day-6 pilot yields poor results?
The plan includes a day-6 buffer: script adjustment, threshold recalibration, targeted re-listening. If results remain insufficient, go-live is pushed back 48 to 72 hours, still less than a classic project timeline.
Which roles must be mobilized over the 7 days?
Credit manager or collections lead (sponsor), an IT lead (integration), an order management profile (scripts and business rules), a compliance lead if sensitive GDPR stakes. Estimated total effort: 3 to 5 person-days spread across the week.
Going further
This plan is battle-tested on dozens of deployments. It adapts to your context: volume, technical stack, collection maturity. A free 30-minute strategic audit identifies your prerequisites, the integrations to plan and a 7-day roadmap calibrated to your situation.
Also read: Voice AI agent for debt collection: doubling callback rates · Reduce DSO by 30%: credit manager playbook · Debt Collection Industry · About Vocalis AI.