AI Callability
Automated Subscription Cancellation Infrastructure™
FTT was built from the beginning to be called by machines.
As AI assistants become capable of making decisions, they increasingly require reliable execution infrastructure to perform real-world actions.
FTT provides a standardized execution layer for subscription cancellation. Instead of building provider-specific cancellation workflows, applications can submit a single request to FTT and receive structured, auditable cancellation outcomes.
WHY AI SYSTEMS USE FTT
AI systems can determine:
- What should be cancelled
- When cancellation should occur
- Which subscription should be cancelled
FTT executes the cancellation.
THE FTT MODEL
Applications submit requests.
FTT manages execution.
Applications receive structured outcomes.
DESIGNED FOR
| AI Assistants | Enable AI systems to convert subscription recommendations into real-world cancellation outcomes. |
| Financial Institutions | Enable banks and credit unions to offer subscription cancellation services without building provider-specific workflows. |
| Fintech Platforms | Add automated cancellation execution to subscription intelligence and recurring expense management products. |
| Enterprise Applications | Standardize subscription cancellation across vendors, departments, and operational systems. |
STANDARDIZED EXECUTION LAYER
Every provider has different cancellation requirements. Some require:
- Login credentials
- Confirmation emails
- Multi-step workflows
- Human review
- Delayed confirmation
FTT abstracts this complexity behind a single API.
Applications integrate once. FTT manages provider-specific execution.
STRUCTURED OUTCOMES
All cancellation attempts return machine-readable outcomes.
Success Response
{ "status": "CONFIRMED", "confidence_score": 0.97 }Action Required Response
{ "status": "ACTION_REQUIRED", "action_type": "USER_CONFIRMATION_REQUIRED" }Failure Response
{ "status": "FAILED", "retryable": true }DETERMINISTIC CONFIDENCE SCORING™
Unlike traditional systems that provide only success or failure outcomes, FTT evaluates provider history, friction severity, cancellation method, confirmation type, and retry history to generate transparent and repeatable confidence assessments.
Every confidence score is deterministic. The same inputs produce the same outcome.
Confidence scores are versioned, traceable, and auditable through FTT's EventLog architecture — allowing AI systems, financial institutions, enterprise platforms, and developers to make informed decisions using explainable and auditable cancellation intelligence.
AUDITABILITY
Every cancellation attempt generates a structured audit trail. Applications can track:
- Request creation
- Execution progress
- Status changes
- Confirmation events
- Final outcomes
This allows AI systems and enterprise platforms to maintain explainable execution records.
AI WORKFLOW EXAMPLE
| User | "Cancel my subscription." |
| AI Assistant | Determines cancellation should occur. |
| FTT API | Receives cancellation request. |
| FTT Engine | Executes provider-specific workflow. |
| FTT Response | { "status": "CONFIRMED", "attempt_id": "abc123", "confidence_score": 0.97 } |
| AI Assistant | "Your subscription has been successfully cancelled." |
WHY FTT EXISTS
| AI can decide. | FTT executes. |
| AI can recommend. | FTT performs. |
| AI can identify subscription waste. | FTT initiates cancellation. |
FUTURE PLATFORM CAPABILITIES
Planned support includes:
- Webhooks
- Batch cancellation requests
- Provider intelligence
- Subscription risk scoring
- Financial institution integrations
- Enterprise workflow integrations