TailorScan Forge / Applied AI Service Operations

AI can report an action.
The evidence must confirm it.

ActionProof is a working, local-browser evidence review lab for service businesses. Compare proposed AI-agent actions with separate booking, CRM and approval records. Detect unsupported claims, duplicate events and actions that must stay blocked.

Free demonstration ยท Synthetic references ยท No account ยท No external API ยท No automatic action

01 / Interactive evidence lab

See what the system can and cannot verify.

Load fictional records, or paste your own non-sensitive synthetic test JSON following the displayed schema. Do not paste real call transcripts, addresses, patient information, phone numbers or credentials. All calculations run in this tab.

Structured agent-event envelope

Verification summary

0Unique events
0Evidence corroborated
0Human review
0Blocked / conflicting

Repeated source events excluded: 0

Boundary: A matching field in an imported JSON record is not authenticated proof. Only a future permissioned connector can establish trustworthy provenance. This version blocks every external send and cannot modify a calendar.

Download includes event IDs, reasons and evidence references only. The SHA-256 checksum is not a signature or independent audit certification.

02 / Results

Claim, evidence and policy state.

03 / Research translated to product design

Interoperable proposals. Owner-controlled decisions.

Realtime voice inputs

A telephony or transcription provider may report an intent to book. The gateway needs independent calendar evidence before a booking can be marked corroborated.

MCP / A2A adapter layer

Agent-protocol events enter a normalized envelope. Future adapters must authenticate the sender, restrict tool scopes and isolate business tenants.

Action firewall

Potentially binding promises or customer messages do not become authorized just because an LLM produced valid JSON. Human approvals and audit records remain separate.

Not an autonomous AI agent. This prototype implements deterministic policy checks informed by new agent standards. It does not connect to models, verify identities, authenticate provider feeds, encrypt stored customer data or execute work. It is not yet suitable for live customer records.

04 / Buyer path

Practical service-business applications.

For teams using AI or human reception, our existing Lead Rescue Assurance research addresses follow-through verification. Try the free Lead Response Diagnostic or explore the $19 local Lead Rescue tool for a separate, simpler task. The ActionProof gateway is in product testing; a paid deployment, subscription or customer-specific integration is not presently offered on this page.

Applied AI pilot eligibility โ†— ยท Research source notes โ†— ยท Commercial disclosure standards โ†—

05 / Share the evidence method

Pass the method along.

Share the free, synthetic-data demonstration with someone evaluating AI service operations. Sharing opens your own account’s composer; no posting or third-party messages occur automatically.

This demonstration is free and not an operational certification, customer case study or paid SaaS offering. Editorial and commercial standards โ†—

Human authority should survive automation.

The business owns the outcome, even when an agent handles the interface. Our development process keeps unverified claims in review rather than converting them into implied revenue or contractual commitments.

Ask about a controlled pilot โ†—