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Achieve higher quality investigations in a fraction of the time with SRI Copilot

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The SymphonyAI Guide to Generative AI Copilots

How businesses can get the most out of generative AI

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User interface showing AI Investigation Summary for Michael Poe, flagged with high subject risk. Summary includes details such as customer since 1999, two active accounts with balances, notable transactions, and risk score factors like geography and employment status. A pop-up window titled 'Welcome to Sensa Investigation Hub' highlights Sensa Copilot's capabilities for accelerating investigations, with a Next button indicating 1 of 15 steps.

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Take a tour of SRI Investigation’s SRI Copilot with an interactive demo.

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An AI-assistant across every risk domain

Wherever the investigation takes them, the SRI Copilot is there to help. Ask questions and get informed answers, empowering investigators to make faster, more informed decisions.

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User interface of SymphonyAI Investigation Hub displaying investigation details for John Rolands, a retail bank customer with high subject risk. The narrative section describes John's account activities, including wire transfers and suspicious activity reasoning. An AI-generated narrative can be regenerated. The right panel shows an action list divided into AML and CDD tasks with items such as checking web results, reviewing transactions, and uploading proof of identity with related document types. Several items include toggles and upload icons, with some actions marked completed.

Improve investigator consistency with recommended actions

Guide investigators with defined actions that the SRI Copilot will automatically present to ensure key tasks are being completed.

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SymphonyAI Investigation Hub interface showing a web search for 'John Rolands Financial crime' with 24 results, highlighting a Wikipedia link about John Roland, an American news presenter. A Copilot summary states John Roland (1941–2023) was a news presenter and reporter from Pittsburgh. It also explains Google Search as a tool to find information using keywords, with features like autocomplete and advanced options.

AI-curated web search on demand

Investigator searches are ranked for relevance with summaries generated for each result, improving search effectiveness and speed.

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SymphonyAI Investigation Hub user interface showing a Links Explorer network centered on John Rolands Inc., labeled with corporate subject ID CUST-T2421 and medium subject risk. Connected nodes include people like Phyllis Godley, Chieko Chute, Marielle Wigington, Krishna Barbe, Hannah Burress, Marci Senter, and Rochel Foose, with associated financial transaction amounts in USD. The right panel displays John Rolands' personal profile including employment status as a company director at EcoTech Innovations, male gender, birth date May 23, 1974, financial profile with annual salary of USD 95,000, contact information with an address in Palo Alto, CA, email, phone, organizational unit Tech, tax details including tax number issued by the US, and geographical profile showing Iran as country of origin, United States as residence, and German nationality.

Links explorer

Quickly identify hidden risk within networks of relationships and transactional flows. With Entity Resolution built-in, duplicate profiles are quickly identified and resolved, enabling related accounts to be connected for a single-subject view.

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Discover more features and functionality of SRI Investigation

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Solution benefits

Subject-centric view of risk

Centralize and connect data from across your tech ecosystem for a truly holistic view.

Gen AI powered investigation

Sensa Copilot enables investigations to be up to 70% faster and more consistent.

Detection engine agnostic

Seamlessly integrate with any third-party detection system or data source.

Achieve total transparency

Completely auditable workflows and superior explainability ensure enhanced compliance

SRI Copilot FAQs

The team at SymphonyAI is here to answer your questions about financial crime prevention and our solutions. Here are some of the most common.

What is SRI Copilot?

SRI Copilot is a generative AI-powered assistant within SRI Investigation, designed to improve investigator productivity by guiding decision-making and automating routine tasks in financial crime investigations.

How does SRI Copilot assist investigators during financial crime investigations?

SRI Copilot provides guided actions, AI-curated web searches, and risk insights from relational data. It presents key tasks and recommended actions, helping investigators remain consistent and efficient.

What investigation tools are included in SRI Copilot?

Key tools include interactive queries for on-demand answers, a relevance-ranked web search with summaries, and a links explorer to identify hidden risks across transactional and relational networks.

How does SRI Copilot improve investigation speed and accuracy?

Using generative AI, SRI Copilot reduces investigation time by up to 70% and enhances consistency across investigations by guiding investigators through structured workflows and providing a comprehensive view of risks.

Is SRI Copilot compatible with other detection systems?

Yes, SRI Copilot is detection engine agnostic, meaning it can integrate seamlessly with third-party detection systems and diverse data sources, providing a holistic risk view without requiring specific detection platforms.

How does SRI Copilot support compliance and auditing?

SRI Copilot provides fully auditable workflows, with all actions and decisions tracked, ensuring transparency and compliance with regulatory requirements.