The promise of AI in financial services is well-documented - according to EY, 84% of private equity funds now expect AI to have a transformative impact on their business. But for private fund managers and administrators, the focus is now on how to deploy it in a way that creates genuine operational value without requiring a wholesale rebuild of existing infrastructure.
Over the last several months, our Product and Engineering teams at Goji have been focused on how AI can make a meaningful difference for private fund operations, driving real efficiency gains and deeper connectivity across systems and workflows.
We recently explored a new approach to AI implementation that avoids two common traps: bolting on AI features as an afterthought, or embarking on a costly ground-up rebuild. Instead, we advocate for a flexible, scalable AI platform that augments and leverages existing and established technology.
What does that look like in practice? Here are three live capabilities available to Goji clients today.
1. In-platform AI assistant
The way users interact with software is changing. Rather than navigating rigid menus and clicking through screens, natural-language assistants enable a far more intuitive experience that meets users where they are.
Goji’s built-in platform assistant does exactly this. As users navigate through the platform, the assistant surfaces contextual suggestions, proactively identifying ways it can help based on what the user is doing at that moment.
The real power lies in task automation. A strong example: the assistant can read a complex ownership structure chart - the kind that would typically require hours of manual data entry - and automatically generate the corresponding entity map (shown below) directly in the platform. What used to be a painstaking manual process for your team becomes a simple review task. The AI does the work; the user validates the output.
This shift, from doing to reviewing, is central to how we think about AI-powered operations.
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2. Intelligent document processing
Private fund operations involve a constant flow of documents from third-party systems including capital call notices, investor statements, subscription documents, and more. Where direct API integrations aren’t possible (and in private markets, they often aren’t), document processing has historically meant a lot of manual effort.
Goji’s AI-powered workflow platform changes this dynamic. Documents can be ingested and processed in bulk, with the platform automatically extracting the relevant data and creating structured transactions ready for user review. The audit trail is maintained throughout, with each transaction clearly tagged as created by the AI-powered workflow.
The result is a dramatic reduction in manual processing time, fewer data entry errors, and operations teams freed up to focus on higher-value activities.
3. Configurable third-party system integrations
System fragmentation is one of the defining challenges of private fund administration. Different platforms model data differently, integration points are inconsistent, and the cost of building bespoke connections has traditionally made broad connectivity impractical.
By combining AI with deterministic technologies, we’ve been able to build a configurable integration layer that is significantly more flexible than traditional approaches. Today, this enables Goji to connect with CRMs such as Salesforce and HubSpot, a range of fund accounting platforms, and various internal systems, without requiring lengthy bespoke development projects for each new connection.
The configurability is key. As the ecosystem of platforms used by fund managers evolves, Goji’s integration layer can adapt, reducing the long-term cost and complexity of maintaining connectivity across an increasingly complex technology stack.
The bigger picture
These three capabilities share a common thread: they are designed to remove friction from operations teams’ daily work, not add new complexity. The AI handles the time-consuming, error-prone tasks. People focus on judgement, relationships, and oversight.
This is what practical AI deployment looks like in private fund operations: it’s not a technological revolution, but a meaningful, measurable improvement in how teams work.
Ready to see it in action?