Solutions by Text focuses on compliant messaging and payments for consumer-finance and accounts-receivable workflows. DROS can be considered alongside that type of platform when a team wants an AI agent to decide and conduct approved conversations while the messaging or payment layer continues to execute specialised channel functions.
Direct answer: The integration should divide responsibilities clearly: DROS manages context and conversation logic, while Solutions by Text handles the confirmed messaging and payment capabilities selected by the organisation.
How the workflow should operate
| Eligible account and context | Collection system | DROS | Conversation decision |
| Approved SMS instruction | DROS | Solutions by Text | Message execution |
| Reply and opt-out | Solutions by Text | DROS and source system | Next action or stop |
| Payment link/result | Payment service | DROS and source system | Resolve or follow up |
1. Choose one workflow
Start with a reminder, inbound response, promise-to-pay follow-up or payment-link workflow. Do not combine every SMS use case in the first launch.
Document the responsible system, authorised actor, expected result and failure path for this stage. Test both the normal case and at least one exception before production use.
2. Synchronise consent and preferences
Identify the authoritative record for SMS consent, opt-outs, quiet hours and preferred language. A STOP or other revocation signal must affect all connected outreach.
Document the responsible system, authorised actor, expected result and failure path for this stage. Test both the normal case and at least one exception before production use.
3. Use approved content boundaries
Define which content is fixed, which fields are personalised and which questions require escalation. Avoid exposing debt information before appropriate identity and channel controls.
Document the responsible system, authorised actor, expected result and failure path for this stage. Test both the normal case and at least one exception before production use.
4. Track delivery through resolution
Store message submission, delivery, consumer reply, agent interpretation, payment link, payment result and final account update as separate events.
Document the responsible system, authorised actor, expected result and failure path for this stage. Test both the normal case and at least one exception before production use.
5. Measure conversation and payment together
Do not treat delivered messages as success. Measure verified engagement, arrangements, completed payments, opt-outs, complaints and exceptions.
Document the responsible system, authorised actor, expected result and failure path for this stage. Test both the normal case and at least one exception before production use.
A practical implementation sequence
- Select one bounded workflow and account segment.
- Map data ownership, eligibility and permitted actions.
- Configure policy, consent, disclosures and escalation.
- Test routine, exception and system-failure scenarios.
- Launch with limited volume and daily reconciliation.
- Review conversations, outcomes and complaints before expanding.
Metrics that show whether the workflow works
- Eligible accounts successfully loaded
- Right-party contacts and resolved interactions
- Promises to pay and kept promises
- Completed and reconciled payments
- Containment and transfer quality
- Disputes, complaints, opt-outs and compliance exceptions
- Failed writes and unreconciled records
- Cost per resolved account
Compliance and data controls
Every automated collection workflow must preserve applicable legal and policy controls. Relevant requirements can include the FDCPA, the CFPB's Regulation F, the TCPA, state laws, privacy obligations, consent records and the creditor's or agency's own procedures. The correct scope depends on the organisation and account.
The CFPB explains federal presumptions concerning debt collection call frequency, while the FTC publishes the FDCPA text. Teams should involve qualified counsel and compliance leaders before launch.
- Verify identity before disclosing account information.
- Synchronise consent, revocation and communication preferences.
- Apply time, frequency and channel controls before contact.
- Route disputes, complaints, hardship and legal exceptions to people.
- Retain audit evidence for every conversation and system action.
Where DROS fits
DROS provides context-aware AI agents for collection engagement across voice and digital channels. The platform should be evaluated against the organisation's actual systems, policies and exception model, with the existing source of truth remaining clear.
Talk to DROS about testing this workflow with representative accounts and measurable success criteria.
Frequently asked questions
Is Solutions by Text an AI collection agent?
Its published offering centres on messaging, compliance and embedded payments. The exact role of AI should be verified directly for the selected product.
Why combine it with DROS?
A team may want DROS to maintain conversational context while using an established messaging and payment service for channel execution.
What must happen after an opt-out?
The revocation should be recorded in the authoritative preference system and prevent further messages governed by that request.
Sources and further reading
Last reviewed: September 2026. This article is general information and not legal advice. Confirm vendor capabilities and legal requirements for your organisation.
