Off-ramp reading, exchange counterparty for Tamam:

• Tamam’s off-ramp endpoint, in this casefile, is the centralised exchange that holds compliance leverage, typically named in the packet alongside the deposit address.
• Chain-analytics datasets cross-reference the Tamam off-ramp wallet against historical laundering throughput.
• The Tamam packet is delivered to the off-ramp compliance desk in a format the desk’s reviewers act on.
• Escalation pathways for Tamam, where needed: IC3, the relevant state AG, and a civil-discovery overlay for KYC on the off-ramp wallet.

Recovery sequence, from on-chain reading to filed packet:

1. First read on Tamam, incoming submission is reviewed against the no-go list and a written go/no-go is returned in writing.
2. Wallet trace on Tamam, deposit-to-off-ramp pathway is mapped across chains with verifiable hashes.
3. Counterparty identification, the off-ramp endpoint for Tamam is named to a centralised exchange wallet.
4. Packet filing on Tamam, IC3, state AG, off-ramp compliance desk; civil discovery if dollar value justifies it.
5. Casefile follow-through, the Professor stays with Tamam until a documented outcome or escalation step is on file.

What the Professor will never do, by policy:

• Recovery scammers do these things on Tamam; the Professor never does, request seed phrases.
• Recovery scammers do these things on Tamam; the Professor never does, request remote logins.
• Recovery scammers do these things on Tamam; the Professor never does, demand upfront cash.
• Recovery scammers do these things on Tamam; the Professor never does, guarantee a recovery.
• Recovery scammers do these things on Tamam; the Professor never does, call you unsolicited.