We spoke with Goji CEO David Genn about how AI is reshaping the future of private fund operations, and how Goji is enabling this evolution through purpose-built AI workflows.
Why is AI the priority for private funds in 2026?
Demand for private markets is growing fast, and firms are eager to capture that growth. To help, we've digitised the entire investor journey, giving our clients a digital workspace to streamline their workflows and raise capital faster.
Despite these advancements, the industry is still caught in a linear scaling trap. Human operators are stuck doing repetitive admin tasks, even inside a digital platform. This means you can't meaningfully scale your AUM without constantly hiring more back-office staff.
In 2026, the industry is moving beyond workflow automation, where technology streamlines your team's work, towards task autonomy, where technology does the work for them. By letting AI handle the heavy administrative lifting, firms can finally decouple growth from overhead and scale without the extra cost.
How is Goji helping firms to leverage AI in private markets?
We recognise that for our clients to really future-proof their operations, they need more than just tools. They need an active digital workforce that can take on the repetitive admin of managing a fund. That's why we're excited to announce that we've officially introduced AI-enabled workflows to the Goji platform.
These workflows are not static features. They're a core pillar of our technology designed to solve specific pain points for our clients. Whether that's extracting data from complex documents or managing the nuances of digital investor onboarding, our AI workflows perform the repetitive execution that previously stalled time to investment. This allows your team to move away from manual data entry and focus on more high-value tasks.
What are the immediate use cases for AI in private fund operations?
A primary example is how we're automating electronic identity verification, or EIDV. Manual document reviews and data entry are an inefficient use of your time. Our AI-enabled EIDV workflow automatically recognises document types upon upload, extracts the required KYC data, and validates it.
The use of AI transforms hours of manual compliance checks into seconds of instant automated verification ready for your team's final review. The result is a massive reduction in operational drag, allowing investors to be onboarded faster. and freeing your team to focus on more strategic initiatives than processing endless paperwork.
Why should asset managers integrate AI solutions into their processes?
For asset managers, the goal is to scale AUM, not headcount. Our AI workflows take on repetitive tasks, like document classification, allowing your team to handle high volumes while focusing on investor relations and other strategic initiatives. Because you maintain control over what the workflows do, you can scale operations efficiently without increasing risk.
How can fund administrators use AI to optimise their operating models?
For fund administrators, AI allows you to free your team from manual processing. For example, by letting AI autonomously categorise KYC documents, your team transitions from manually typing data to simply reviewing and approving AI-generated outputs. With built-in monitoring, your team acts as the final quality assurance check before any action is finalised. This drastically reduces human error, operational risk, and turnaround times.
How can firms safely integrate AI into their private fund operations?
Safety and trust are critical to this process. Our clients have total control over how they supervise these tools. We enable you to design the right balance of AI execution and human intervention for your specific business.
Our AI workflows act as an extension of your operations team, not a replacement. Just like you get to choose who you hire, you also get to choose which purpose-built AI workflows you want to employ and which you don't. We have strict approval processes built in. The AI acts as the worker, and your team acts as the supervisor, so that every action performed by an AI workflow is reviewed and approved by a human before any information is populated in the platform. This compliance-first approach ensures you maintain the oversight required in a highly regulated industry.
How does Goji work with its clients to build these AI workflows?
Our development of AI workflows is an ongoing consultative process. The workflows are purpose-built to address the specific operational pain points our clients experience. By maintaining a tight feedback loop, we ensure that our technology remains adaptable to future market changes while delivering immediate value to the teams who are using it every day.