Floatbot vs Skit.ai (2026)
The decision is where you want the law enforced, before the call or inside it, because these are two of the vendors in this pocket that have gone furthest in encoding collection statutes into the agent, and they did it at different points in a call's life. Skit.ai resolves compliance before a number is dialled: eligibility, consent and timing are settled up front, accounts are filtered against do not call registries, bankruptcy filings, statute of limitations and known litigators, the 8am to 9pm local calling window and Regulation F's seven contacts in seven days cap are enforced per account, and once a call is live every drafted line is screened before the consumer hears it. Floatbot enforces inside the conversation: debt collector identification, recording notices, mini Miranda warnings and state payment restrictions delivered at the correct moments, calling hours and contact frequency tracked automatically, consent captured in real time, and proprietary stress detection handing a distressed caller to a human with full context. The evidence styles split the same way. Floatbot publishes a measured outcome, agencies at 99.7 percent compliance audit scores against 82 to 88 percent for human only teams, alongside a zero hallucination claim no system can guarantee. Skit publishes fewer numbers and opens every engagement with a live production grade pilot, so the buyer generates the evidence on its own accounts. The buyer guide finding on this territory applies to both in full: the deepest encoders of the rules still publish nothing on who pays when the agent follows one wrongly.
- You need the measured compliance number today. A 99.7 percent audit score against a stated human baseline of 82 to 88 percent is a consumer protective outcome that arrives measured rather than claimed, and it is the figure a compliance officer can put in front of a board.
- Distress handling is your first concern. Voice analysis detects caller stress in real time and hands off to a human with a full context dashboard so the consumer does not repeat themselves, and agents adapt settlement approach to stated hardship, the more developed vulnerable caller path of this pair.
- Your operation is wider than collections. The same platform serves loan origination, claims first notice of loss, underwriting support and policy servicing across voice, chat, text and email with no code building, so a lender or insurer consolidates channels rather than buying a collections point product.
- You would rather prevent the violation than perform the call correctly. Pre dial screening means an ineligible account is never contacted at all, filtered against registries, bankruptcy, statute of limitations and litigation history, which removes the whole class of error where a compliant sounding call should never have happened.
- Proof on your own accounts beats published percentages. Every engagement opens with a live production grade pilot measuring performance, compliance and return in real conditions, with a staged rollout requiring your sign off on scripts, constraints and consent flows before scale.
- Certifications gate the review. SOC 2 Type II, ISO 27001 and PCI DSS are held, the right set for agents negotiating and taking payments on live calls, where Floatbot describes its security architecture and publishes no attestation at all.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Floatbot and Skit.ai are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI FinTech Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Floatbot | Skit.ai | |
|---|---|---|
| Primary category | Customer & Banking Agents | Customer & Banking Agents |
| Founded | 2017 | Not published |
| Headquarters | Milpitas, California, United States | Not published |
| Website | floatbot.ai | skit.ai |
Side by Side
| Axis | F Floatbot |
S Skit.ai |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model Risk Management and Transparency | ||
| Operational and Outcome Evidence | ||
| AI Safety and Data Stewardship | ||
| GLBA and Data Privacy Posture | ||
| Security Certifications and Trust Center | ||
| Regulatory Status and Licensure | ||
| AI Governance and Bias Disclosure | ||
| AI Liability and Recourse | ||
| Model Supply Chain Disclosure | ||
| Core Systems and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Institution and Segment Coverage |
The short version of each
Floatbot
Floatbot enforces collection law inside the live conversation, delivering debt collector identification, recording notices and mini Miranda warnings at the correct moments, tracking calling hours and contact frequency automatically, capturing consent in real time, and handing distressed callers to humans via proprietary stress detection with full context. The AI FinTech Index records its measured outcome, agencies at 99.7 percent compliance audit scores against 82 to 88 percent for human only teams, as the kind of number its pocket rarely provides, sitting beside a zero hallucination claim no system can guarantee, and notes that its voice biometrics and emotional inference run on people in financial distress with no published retention or consent terms, no named customer, and no disclosed model provider.
Source: AI FinTech Index, 2026
Skit.ai
Skit.ai resolves collections compliance before a number is dialled: eligibility, consent and timing settled up front, accounts filtered against do not call registries, bankruptcy filings, statute of limitations and known litigators, the 8am to 9pm local window and Regulation F's seven contacts in seven days cap enforced per account, and every drafted line screened before the consumer hears it. The AI FinTech Index records its evidence style as pilot generated, every engagement opening with a live production grade pilot on the buyer's own accounts, and notes that it names no customer behind claimed scale, discloses no model provider or subprocessor, states no position on the pending federal rulemaking covering AI generated calls, and, with its rival, leaves the who pays question open.
Source: AI FinTech Index, 2026
Common questions
Is Floatbot better than Skit.ai for collections calls?
They are two of the deepest statute encoders in this pocket, differing on where the law is enforced. Skit.ai resolves compliance before a number is dialled, filtering accounts against do not call registries, bankruptcy filings, statute of limitations and known litigators, enforcing the calling window and Regulation F's seven in seven cap per account. Floatbot enforces inside the conversation, delivering identification, recording notices and mini Miranda warnings at the correct moments with consent captured in real time. Most buyers will weigh operating model and evidence style rather than the enforcement point. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
What evidence does each vendor publish?
Floatbot publishes a measured outcome: agencies at 99.7 percent compliance audit scores against 82 to 88 percent for human only teams, which is the kind of number this pocket rarely provides, sitting beside a zero hallucination claim no system can guarantee. Skit publishes fewer numbers and opens every engagement with a live production grade pilot, so the buyer generates the evidence on its own accounts rather than trusting the vendor's. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
Does either vendor name its customers?
Between them these two claim more than 200 institutions and over a billion consumer interactions, and neither names one customer, which at that scale reads as a choice rather than a stage of life. Reference calls will have to substitute for the public record at both. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
What should a buyer ask about Floatbot's stress detection?
Floatbot's stress detection hands a distressed caller to a human with full context, which is a real protective mechanism, and it runs on voice biometrics and emotional inference applied to people in financial distress with no published retention or consent terms. That pairing, the safeguard and the unstated data practice underneath it, is the item to resolve in writing before deployment. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
What does neither vendor answer?
The buyer guide finding on this territory applies to both in full: the vendors that have gone furthest in encoding the rules still publish nothing on who pays when the agent follows one wrongly. Neither discloses any model provider, speech component or subprocessor, so a creditor cannot document whose infrastructure carries recordings of consumers discussing debt, and neither states whether one creditor's conversations train agents serving another. Skit also states no position on the pending federal rulemaking covering AI generated calls. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
How does the AI FinTech Index grade Floatbot and Skit.ai?
Both are graded on the same fifteen capability axes from public sources, each grade traceable to its artifact. The AI FinTech Index records them as the two vendors in this pocket that have encoded collection statutes most deeply, at opposite points in a call's life, and applies its published guide finding to both: encoding the rules and stating the liability are different disclosures, and this market has made real progress on the first and almost none on the second. The index publishes no composite score and declares no winner.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Customer & Banking Agents page.
Between them these two claim more than 200 institutions and over a billion consumer interactions, and neither names one customer, which at that scale reads as a choice rather than a stage of life. Neither discloses any model provider, speech component or subprocessor, so a creditor cannot document whose infrastructure carries recordings of consumers discussing debt, and neither states whether one creditor's conversations train agents serving another.
Floatbot additionally captures voice biometrics and emotional inference from people in financial distress with no published retention or consent terms, and Skit states no position on the pending federal rulemaking covering AI generated calls. The who pays question stands open at both.