On February 25, 2025, Intapp held the inaugural Intapp AI Council meeting, a new initiative aimed at fostering open conversations and collaborative problem-solving. The event centered around the future of Applied AI and its impact on the financial and professional services industries.
Led by Robin Tech, Vice President of AI at Intapp, the meeting brought together industry leaders with varied backgrounds and expertise, all eager to share their experiences and insights. Here are the key takeaways from the event.
AI strategy and adoption
High-impact AI use cases
How can technology providers meet the unique demands of financial and professional services firms? First, they must prioritize high-impact AI use cases that address frequent and painful challenges for users, such as improving workflows and decision-making. Providers should also balance centralized AI models, which provide foundational infrastructure and scalability, with decentralized models tailored to specific client needs. And they must develop industry-specific AI models with high accuracy and relevance.
The importance of accurate industry data
Professionals can’t work efficiently if their AI tools can’t provide accurate industry data. But with a centralized platform like Intapp DealCloud — which captures firm operations and integrates third-party data to provide real-time insights — professionals can make better decisions quicker, accelerate workflows, and improve deal management. All without toggling between systems.
AI adoption challenges
When adopting AI, professionals must ensure they can comply with regulations like GDPR, maintain data privacy, and achieve high model accuracy. Anonymizing sensitive information can help address privacy concerns, while refining outputs can help ensure reliability and build user trust.
It’s also crucial to invest in intuitive tools that deliver immediate value, and to provide training sessions as well. These will help boost adoption rates, especially among less tech-savvy users.
Document Intelligence
Easy data retrieval
The Intapp product team demonstrated a conversational agent that was developed using augmented generation technology and designed to simplify data retrieval from large volumes of documents. Users can ask the agent natural language questions and quickly receive relevant information. Plus, the system maintains a history of previous queries, so users can easily access frequently needed information.
During the demo, the agent was asked about a deal. It quickly retrieved the deal’s value and linked to source documents for verification. In another demonstration, the agent gathered financial metrics, strategic plans, and governance details from multiple documents. It also gathered earnings-per-share data from 2009 to 2020 and identified $103.44 million in payments related to strategic agreements.
From private capital firms to investment banks, this conversational agent can help accelerate workflows across industries.
Document upload and interaction
Intapp’s document intelligence capabilities let users upload a wide range of document types — including financial reports, client engagement documents, and merger agreements — into SharePoint. The conversational agent can likewise answer queries about or retrieve information from these documents, and it supports diverse formats such as text, tables, visualizations, and models.
Technical capabilities
Document intelligence can extract and process information from a large volume of complex data, such as multipage tables and computations, and provide users with precise, accurate answers tailored to their queries. Intapp’s integration with Microsoft Azure document intelligence further enhances these capabilities, ensuring efficient processing and contextual retrieval of information.
Future enhancements
Based on attendee feedback, Intapp plans to expand support for low-quality scans and diverse publication formats. We also aim to incorporate structured data from sources like Intapp DealCloud to provide more comprehensive insights. And we’re exploring ways to make retrieved information more actionable, such as structuring answers into tables or lists.
Intapp will also prioritize complex query handling, such as those involving mathematical reasoning. Plus, we plan to integrate domain knowledge into the system to enhance accuracy and relevance.
The future of AI
User interactions
Integrating intuitive interfaces into your firm’s AI systems will redefine the user experience. By automating routine processes and providing intelligent insights, these interfaces will drive productivity across the firm. Voice interfaces will also enable hands-free interactions like querying financial data or retrieving case precedents, so users can work even more efficiently.
Iterative development and feedback
Top technology providers are constantly improving their tools using feedback from their clients. But clients can’t provide useful feedback unless they use those tools on a regular basis.
Firms must encourage their professionals to familiarize themselves with their new AI systems and provide as much feedback as possible. This will help drive greater value and ensure the systems align with user expectations and industry demands.
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