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AI agent for automated artist claim verification and document analysis

Accelerating the artist verification process by transforming manual document reviews into automated, high-speed AI evaluations.

< 1 minProcessing time per claim
85%Reduction in manual effort
24/7Availability for claim intake
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15 min, no strings · No sales pressure

ClientSena
IndustryMusic & Entertainment
ProductSena Claim Assistant
Read time2 min read
AI agent for automated artist claim verification and document analysis

Sena

Sena required a sophisticated solution to streamline the artist claim process, where performers submit evidence to claim their rights. The goal was to build an intelligent agent capable of evaluating diverse evidence types, including Spotify profiles, photographs, and legal PDFs, to provide instant feedback to human reviewers.

Reviewing artist claims was a labour-intensive manual process prone to bottlenecks. Human agents had to manually verify Spotify links, cross-reference metadata in PDFs, and visually inspect photos to ensure authenticity. This high volume of unstructured data led to long processing times and inconsistent evaluation criteria across different claim types.

What SevenLab built

SevenLab developed a custom AI agent that uses multi-modal processing to analyse claims in under sixty seconds. The system integrates OCR for document extraction, computer vision for photo analysis, and web-scraping for real-time Spotify data validation, providing human reviewers with a pre-analysed score and detailed feedback.

Multi-modal document analysis

Processes a variety of formats including PDFs, JPGs, and live Spotify links within a single unified workflow.

Automated workflow orchestration

Routes claims through specific validation logic based on the type of evidence provided by the artist.

Instant compliance checking

Automatically flags missing signatures or mismatched metadata against official database records.

Rapid feedback loop

Generates a comprehensive review summary for human operators in less than one minute.

Measurable business impact

< 1 minProcessing time per claim
85%Reduction in manual effort
24/7Availability for claim intake
100%Data extraction accuracy

The AI agent has transformed the claim review department from a manual bottleneck into a high-efficiency operation. By handling the heavy lifting of data extraction and verification, the system allows human experts to focus only on final approvals and complex edge cases.

The AI agent has completely changed how we handle artist claims. What used to take our team significant time to cross-reference is now presented to us in seconds with incredible detail and accuracy.

Operations Manager

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Trusted by teams at

ABN AMRO
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Ministerie van Justitie
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Aegir Marine
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DBF
DLV
Farmplus
Het Oranje Kruis
Hoogheemraadschap van Rijnland
Hulshoff
InShared
Kleentec
Kwast Wijnkopers
Loendersloot
MedicInfo
Moco Museum
Neko
Nétive VMS
NHA
Omgevingsdienst de Vallei
Omgevingsdienst Groene Metropoolregio
Omgevingsdienst Utrecht
Procap
RDW
Rho Adviseurs
Sectorinstituut Transport en Logistiek
Storteboom
Stratego
Universiteit van Amsterdam
Verhoeven
Voetbal International
Weekamp Deuren
Woonbedrijf
ZON Fruit & Vegetables
ABN AMRO
BASF
Bayer
Eurocross
Gilead Sciences
Mitsubishi
Edelman
PXR
Avanti
Ministerie van Justitie
Wim Hof Method
PO-Raad
DCMR Milieudienst Rijnmond
Nictiz
Omgevingsdienst Midden- en West-Brabant
Adjust
Aegir Marine
Bloem
Chemgas
Condor
Contakt
DBF
DLV
Farmplus
Het Oranje Kruis
Hoogheemraadschap van Rijnland
Hulshoff
InShared
Kleentec
Kwast Wijnkopers
Loendersloot
MedicInfo
Moco Museum
Neko
Nétive VMS
NHA
Omgevingsdienst de Vallei
Omgevingsdienst Groene Metropoolregio
Omgevingsdienst Utrecht
Procap
RDW
Rho Adviseurs
Sectorinstituut Transport en Logistiek
Storteboom
Stratego
Universiteit van Amsterdam
Verhoeven
Voetbal International
Weekamp Deuren
Woonbedrijf
ZON Fruit & Vegetables

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