The business challenge
AI products often reached the market before current transparency expectations were finalized. A chatbot may need an interaction notice; a content-generation workflow may need machine-readable marking; a deployer may need disclosure language or records showing how a requirement is implemented. The challenge is not another policy document. It is making the required transparency behavior work consistently inside the product.
What IT Sultan delivers
- AI product and use-case inventory
- Provider/deployer role documentation
- Technical transparency gap assessment
- AI-interaction notices and UX implementation
- Generated-content marking and detection workflow
- Deepfake and synthetic-content disclosure controls
- Disclosure records, logging and evidence
- Human escalation and complaint workflow
- Technical testing and management handoff
How the engagement works
01
Classify the product context
Document the system, outputs, users, market date and role in the AI value chain for counsel or compliance review.
02
Map applicable controls
Translate confirmed requirements into product, UX, data and documentation changes.
03
Implement and test
Build the notices, marking, records and escalation behavior in the agreed system.
04
Evidence and maintain
Document how controls operate and establish ownership for future changes.
Who this is for
- AI SaaS vendors serving EU users
- Chatbot and AI customer-support providers
- Marketing and content-generation platforms
- Synthetic media and generative content tools
- Technology companies adding AI features to an existing product
Why IT Sultan
IT Sultan can combine software implementation, AI workflow understanding and security-aware evidence handling. We do not act as the regulator or provide an unqualified legal conclusion. Complex applicability and interpretation should be confirmed by qualified EU counsel.
Business outcomes
- Transparency controls integrated into the real product
- More consistent user disclosures
- Documented marking and evidence workflows
- Clearer responsibility across product and compliance teams
- Stronger readiness for European customers and partners
Frequently asked questions
Does every AI product need the same retrofit?
No. Requirements depend on the system, output, provider/deployer role, timing and use context.
Do you provide legal opinions?
No. We provide technical assessment and implementation, with legal interpretation confirmed by qualified counsel when needed.
Can you implement changes in an existing codebase?
Yes, after technical review, access authorization and a defined implementation scope.
Move forward with clarity
Request a FREE AI Transparency Gap Review and show us the product, European use case and transparency question requiring action.