Compliance review that reads the policy and the artifact — and tells you the gap in plain English.
Claude reads each artifact (a vendor doc, a marketing claim, an outbound email) against your policy library, finds the specific clause it violates, and proposes the edit that resolves it.
9 campaigns scanned · 2 held for review:
Customer
“Sending the Q1 product roundup to the EU segment this afternoon — usual list, no changes from last quarter.”
Agent draft · in your tone
Held. The EU list contains 248 contacts whose consent timestamp predates our policy update on Jan 14. Re-confirm consent (one-tap link drafted) before sending — should add ~24h to the schedule.
How does Anthropic (Claude) work for Compliance Checking automation?
Anthropic (Claude) works for Compliance Checking automation by powering a DeskFerry agent that runs the workflow end-to-end inside your existing tools — no code, no custom build.
- 01
Trigger fires
The agent connects to Anthropic (Claude) alongside the other apps your team already uses, watches for the triggers that matter for Compliance Checking, and takes the next step on its own while keeping a complete audit trail for review.
- 02
Check every outbound campaign in @Mailchimp with @Claude against our SOC 2 + GDPR checklist
AI monitors operations against regulatory requirements 24/7, flagging violations instantly.
- 03
Block anything missing consent fields
Teams typically see complete for every flagged record once the agent is in production.
- 04
You approve
You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
How you tell it what to do
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Check every outbound campaign in @Mailchimp with @Claude against our SOC 2 + GDPR checklist
- 2Block anything missing consent fields
Already wired in
Claude is built into DeskFerry.
No API key, no model setup, no glue code. Connect the apps your team already uses and compliance checking runs on them.
Claude runs inside DeskFerry on our keys.
- MailchimpConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Anthropic (Claude) + DeskFerry can do
Real Anthropic (Claude) actions your AI agent can perform automatically — no manual work required.
Generate text content
Send prompts to Anthropic (Claude) and receive generated text for emails, summaries, product descriptions, or creative content.
Classify and categorize inputs
Pass unstructured data to Anthropic (Claude) for classification into predefined categories, labels, or intent types.
Extract structured data
Use Anthropic (Claude) to parse documents, emails, or images and extract structured fields like names, dates, and amounts.
Analyze sentiment and tone
Send customer messages or reviews to Anthropic (Claude) for sentiment scoring and emotional tone analysis.
Generate embeddings
Convert text into vector embeddings using Anthropic (Claude) for semantic search, clustering, and recommendation systems.
Summarize documents
Pass long-form content to Anthropic (Claude) and receive concise summaries that capture the key points and decisions.
Moderate content
Screen user-generated text and images through Anthropic (Claude) to detect policy violations, toxicity, or inappropriate material.
Build conversational agents
Connect Anthropic (Claude) to messaging channels to power AI chatbots that handle FAQs, triage requests, and collect information.
Held. The EU list contains 248 contacts whose consent timestamp predates our policy update on Jan 14. Re-confirm consent (one-tap link drafted) before sending — should add ~24h to the schedule.
Customer reports a duplicate charge; refund queued, awaiting confirmation.
Customer asking what's included on the Growth plan vs. Pro.
Human in the loop
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Governance
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- EU Q1 Newsletter9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket Audit · MC-1208.
Reason: Confidence above auto-send threshold; voice match passed; SLA at-risk.
- Agent9:11 AM
Drafted reply in your team's voice.
- Agent9:10 AM
Pulled customer plan, prior tickets, and account context.
- Agent9:09 AM
Triaged Audit · MC-1208 as the matching topic.
How it works
Get started in three steps
Step 01
Connect Anthropic (Claude)
Authorize Anthropic (Claude) in your DeskFerry dashboard. The secure connection takes less than 60 seconds.
Step 02
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses Anthropic (Claude).
Step 03
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Start automating Compliance Checking for Anthropic (Claude)
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
What policies does it check against?
Whatever you give it: GDPR, HIPAA, SOC 2, FINRA, internal claims policy, brand guidelines, regulated-industry rules. The agent reads your policy in full and uses it as the test.
How does it handle ambiguity in the policy?
It surfaces the ambiguity rather than guessing. If a clause could be read two ways, the agent flags both interpretations and routes to your compliance lead. Over time, the lead's choices become the precedent the agent learns from.
Does it work pre- or post- publication?
Both. Pre-pub it gates the workflow — a marketing claim doesn't go live until the agent checks it. Post-pub it audits — sweeps your existing collateral and flags anything that drifted out of compliance after a policy update.
Audit trail?
Every check is logged: the artifact, the policy version, the agent's reasoning, and the human's final call. Exportable to CSV or PDF for SOC 2 / ISO audits.
What about jurisdiction-specific rules — GDPR vs CCPA vs LGPD?
The agent reads each artifact's audience (or you tag it explicitly) and applies the relevant rules. A campaign targeting EU readers gets the GDPR check; a US-only one doesn't. Multi-jurisdiction artifacts get all applicable checks.
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