Solving AI's Trust Gap
As AI capabilities accelerate, a critical barrier emerges: How do you trust what AI produces? For public companies and regulated industries, this isn't philosophical—it's existential. Boards won't approve AI-assisted 10-Ks without provable lineage. Auditors won't sign off on AI-generated risk reports without tamper-evident trails. Compliance officers won't deploy AI workflows that can't demonstrate complete chain of custody.
Answer Agents and JLINC are pioneering the solution.
By combining Answer Agents' sophisticated AI orchestration with JLINC's cryptographic provenance protocol, we're creating something unprecedented: AI workflows where every decision is traceable, every contribution is accountable, and every output is auditable.
Answer Agents Brings
- AI orchestration & workflow automation
- Human-in-the-loop collaboration
- Multi-model & multi-tool integration
- Enterprise deployment infrastructure
JLINC Brings
- Cryptographic signature protocol (public key cryptography)
- Information Sharing Agreements (ISA)
- Vendor-neutral ledger anchoring
- W3C DID method specification
AI Adoption is Blocked by a Trust Gap
Where did this come from?
AI generates earnings reports mixing data from 15 sources. Auditor asks: "Prove these numbers came from approved systems."
What exactly did the AI see?
Agent analyzes confidential merger docs. Legal asks: "Show us exactly what context the AI had."
Who made the final decision?
AI drafts SEC filing, three executives review it. Board asks: "Who signed off on what?"
Immutable Chain of Custody for AI Workflows
Every step—from data ingestion to final report—is cryptographically stamped and anchored to an immutable ledger
Source Verification
Ingested documents
Agent Reasoning
Agent processes data
Human Collaboration
Human review & edits
Final Output
Published report
Beyond Traditional LLM Operations
| Capability | Conventional LLM Ops | Answer Agents + JLINC |
|---|---|---|
| Lineage Granularity | Best-effort prompt logs | Cryptographic event stream at context-window level |
| Proof Standard | Screenshot / PDF export | Ledger-backed, machine-verifiable receipts |
| Human ↔ AI Handshake | Informal comments or approval emails | Dual-signed cryptographic agreements (W3C DID-compliant) |
| Tamper Detection | File modification timestamps | Immutable chain-of-custody with hash verification |
| Audit Trail | Manual log review by auditors | Instant, reproducible provenance queries via API |
| Compliance | Documentation assembled after-the-fact | Built-in SOX/FINRA/HIPAA compliance from day one |
| Identity Verification | Username/password authentication | Cryptographic public-key identity (non-repudiable) |
| Ledger Flexibility | Proprietary databases | Vendor-neutral: private DB, Hyperledger, or public chain |
Enterprise-Grade AI Governance
Audit-Ready by Default
For Auditors
Zero-knowledge proofs of data lineage satisfy SOX, FINRA, HIPAA requirements. Verify the entire chain in seconds, not weeks.
Tamper-Evident
For Compliance Officers
Any change produces a new cryptographically signed event. Unauthorized edits are immediately detectable.
Reproducible
For Engineers
Recreate the exact state of any AI decision. Debug production issues by replaying provenance.
Vendor-Neutral
For CTOs
JLINC hashes anchor to ANY ledger you choose. Not locked into blockchain vendor or infrastructure.
Non-Repudiable
For Legal
Cryptographic signatures prove who authorized what. Dual-signed human-AI agreements defensible in court.
Scale with Confidence
For Executives
Board members can trust AI-assisted strategic documents. Scale agent workflows without sacrificing governance.
Built for Enterprises That Can't Afford to Guess
Financial Services
- Earnings releases & 10-K filings
- Credit risk assessment reports
- Trading compliance monitoring
- SEC regulatory disclosures
SOX 404, FINRA 2210, SEC Regulation S-P
Healthcare & Life Sciences
- Clinical trial data analysis
- Adverse event reporting
- IRB documentation
- Medical research publications
HIPAA, 21 CFR Part 11 (FDA), GDPR Article 9
Legal & Professional Services
- E-discovery document analysis
- Contract review & redlining
- Due diligence reports
- Attorney work product
Attorney-client privilege, Federal Rules of Evidence
Public Companies
- ESG reporting & sustainability disclosures
- Board meeting materials
- Investor communications
- Strategic planning documents
SEC rules, NYSE/NASDAQ governance, SOX
Powered by JLINC's Open Provenance Protocol
Founded in 2015 by Jim Fournier and Victor Grey, JLINC set out to solve a fundamental problem: How do you prove where information came from and who touched it? Not with proprietary databases or vendor-locked platforms, but with an open protocol anyone can use.
The result: Information Sharing Agreements (ISA)—cryptographically signed contracts between systems that create an immutable record of every data exchange.
Protocol, Not Platform
JLINC isn't a blockchain company or SaaS vendor. It's an open protocol specification that works with any infrastructure. Think of it like SMTP for provenance—a standard anyone can implement.
Patent-Protected Innovation
US Patent "Internet Data Usage Control Systems" issued January 17, 2023 by the US Patent and Trademark Office. Legally protected intellectual property with nearly a decade of R&D.
Standards-Compliant
JLINC maintains a W3C-compatible Decentralized Identifier (DID) method, ensuring interoperability with emerging digital identity standards.
Battle-Tested
In production since 2015, handling data provenance for enterprise workflows. Proven at scale in regulated environments.
Common Questions About Verifiable AI
How is this different from blockchain-based AI solutions?
JLINC is a protocol, not a blockchain. It can anchor to private databases, Hyperledger, or public blockchains—giving you maximum flexibility. Most "blockchain AI" solutions lock you into specific infrastructure. JLINC adapts to yours.
Does cryptographic verification slow down AI workflows?
No. JLINC stamping happens asynchronously, adding <100ms per event (imperceptible to users). Your agents run at full speed while provenance is captured in the background.
What if we don't want to use a public blockchain?
You don't have to. JLINC is vendor-neutral. Anchor to your private PostgreSQL database, Hyperledger Fabric, or any system you trust. The cryptographic signatures provide tamper-evidence regardless of ledger choice.
Can we verify provenance years later?
Yes. JLINC creates immutable records that can be queried indefinitely. As long as the ledger exists (your responsibility to maintain), provenance is verifiable. Think of it like digital signatures on PDFs—they don't expire.
How do you protect data privacy?
Only cryptographic hashes are written to the ledger—never the actual data. Hashes are one-way functions (can't reverse-engineer content). Your sensitive information stays in your systems with your access controls.
What happens if Answer Agents or JLINC goes out of business?
JLINC is an open protocol. The signature verification doesn't depend on JLINC-the-company existing. As long as you have the cryptographic keys and ledger data, you can verify provenance. We can also provide code escrow arrangements.
Experience Verifiable AI in Action
See how Answer Agents + JLINC transforms AI workflows from "trust us" to "verify yourself"
Schedule 30-Minute Demo
What you'll see:
- Live cryptographic stamping of AI workflow
- Real-time provenance query demonstration
- Industry-specific use case walkthrough
- Implementation timeline & pricing discussion
No commitment required • NDA available upon request • Custom demos for your use case