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Supercharge Diligence and DDQ’s: Leverage BlueFlame AI in Excel or wherever you work
Webinar recap: Supercharge Diligence and DDQ’s: Leverage BlueFlame AI in Excel or Wherever You Work
By: James Tedman, Head of Europe
The alternative investment industry has been forced to operate with the same old time-consuming diligence and DDQ processes for years. During our recent webinar, 34% of our attendees stated they spent over 20 hours a week performing diligence activities and 50% were dissatisfied with their efficiency and automation of their current diligence process. But what if there were a way for the industry to ignite productivity by combining the muscle of a generative AI solution – one connected to documents, databases, market data, and 3rd party systems - with the unparalleled power of Microsoft Excel?
On January 23, 2024, BlueFlame presented a live webinar to showcase our new integration with Excel through the BlueFlame AI add-in. The session included an in-depth demo highlighting how BlueFlame AI users can now embed prompts within cells to automate and streamline time-consuming workflows, supercharge diligence and DDQ activity, and unlock significant front-office efficiencies with a single interface.
In case you missed the live event, you can view the on-demand version.
Some key topics we discussed included how BlueFlame AI users can use our new Excel add-in to:
(10:03) Accelerate DDQ and RFP responses
BlueFlame lets users quickly scan internal documents like LPAs, PPMs, IT and compliance documents, and draft DDQ responses in seconds. See how you can enhance accuracy and relevance with ultra-fast data querying across your unstructured data and an unmatched level of semantic understanding that eliminates the need for exact keyword matches. What once took hours now takes just minutes, significantly boosting the efficiency of entire DDQ workflows.
(12:49) Review data rooms with ease
Everyone has been there – searching a data room for the one piece of information you need across hundreds of documents can feel like looking for a needle in a haystack. BlueFlame users can now run template diligence questions against a data room for initial reviews and quickly identify information gaps to inform request lists. Easily ask questions in natural language, receive pinpointed responses directly from the data room's contents and transform your review process into an efficient, streamlined operation.
(19:40) Streamline investor management
Investor relations teams need to review critical documents to gather investor details and information. BlueFlame's new Excel add-in transforms this approach by allowing users to swiftly extract data from subscription and investment documentation. Our AI interface lets you efficiently respond to inquiries based on past interactions and standard templates and facilitates easy access to investor-related documents and data. Learn how you can redefine your investor management activities and significantly cut down on repetitive tasks.
(24:23) Seamlessly integrate investment models
Pulling data into Excel tables across unstructured data sources is a critical task but has always been time-consuming. BlueFlame lets you aggregate sell-side report price targets, leases, HR management compensation data, PDF's and more within Excel models. Reduce time spent on model integration and increase time spent on high-value strategic tasks.
For More Information
To learn more about how BlueFlame can meet your firm’s unique needs wherever you work, schedule a demo or contact us at info@blueflame.ai.
Additional Resources
Don’t miss these additional resources from BlueFlame to learn more about how alternative investment managers can harness the power of generative AI in a safe and compliant way:
- Raj explores the power of gen AI and LLMs for alternative investment managers and the path to implementation in this podcast with IBS Intelligence.
- James highlights why LLM agnosticism is critical in this piece with Computer Weekly.
- Raj details what alts need to know to cross the AI chasm in 2024.
- And don’t miss more on our insights page.
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