What Fund Finance Looks Like With AI

27 August 2026

4:30–5:15pm BST · 11:30am–12:15pm ET

About this session

Fund finance is where the cost of manual process is most visible. Capital calls and distributions calculated in spreadsheets and checked by hand. Portfolio company reporting arriving in twenty formats and retyped into a twenty-first. Reconciliations between the administrator, the accounting system and the CRM that never quite agree. Audit season absorbing a quarter of the year. Each is a defensible process built by capable people, and each is now a place where AI is doing measurable work inside real firms.

In 45 minutes we set out what the function looks like once that work is running: portfolio company data normalised whatever format it arrives in, capital call and distribution notices drafted and validated at scale, allocation and waterfall calculations backed by a checkable trail, and reconciliation breaks flagged before quarter-end. We spend real time on the objections that matter in finance: how you audit an AI-assisted number, why a model must never be the engine for anything that hits an LP statement, how segregation of duties holds up, and how you avoid a black box nobody can defend.

Agenda

The real cost of the close. Where senior finance time actually goes, and what it displaces.
Data in. Portfolio company reporting, bank and administrator files, and document extraction into usable data.
Calculation and control. Capital calls, distributions, allocations and waterfalls: what AI assists with, what it must never own, and how the audit trail holds.
Reporting out. Management accounts, LP statements, quarterly packs, and the shift to review.
Audit, valuation and regulatory support. Building support packs from source, and what auditors and administrators expect.
Controls, accountability and defensibility. Segregation of duties, sign-off, versioning, and avoiding the black box.
Live Q&A

Frequently asked questions

What is Asset Class?

Asset Class is a platform built for private capital firms. It combines CRM, investor relations, fundraising, and portfolio management into a single connected platform built on Salesforce infrastructure, serving PE, VC, real estate, private debt, family offices, hedge funds, and wealth management firms.

Who uses Asset Class?

Asset Class is used globally by private capital firms across private equity, venture capital, real estate, private debt, family offices, hedge funds, registered investment advisers, wealth managers, corporate venture capital arms, and fund administrators, from emerging managers to large multi-strategy firms.

What problem does Asset Class solve?

Asset Class solves fragmented workflows at private capital firms by bringing CRM, investor relations, fundraising and portfolio reporting into one system of record, where every piece of data is connected, auditable and real-time. Athena, the AI layer of Asset Class, answers plain-language questions on any record and drafts reports and follow-ups for your team to approve. Every answer cited to source.

Is Asset Class built on Salesforce?

Yes, Asset Class is built on Salesforce's Force.com platform, inheriting the world's leading CRM engine, enterprise-grade security, and access to thousands of pre-integrated apps on the Salesforce AppExchange. Existing Salesforce clients can easily deploy Asset Class within their current org.

How does Asset Class help private capital firms grow?

Asset Class helps private capital firms grow by automating fundraising, investor onboarding, capital calls, distributions and portfolio reporting on one platform, so teams can spend their time on deals and investor relationships. Athena, the AI layer of Asset Class, ranks your book by opportunity with its Relationship Score and drafts tailored follow-ups for your team to approve, so firms engage the right LPs first.

What is Athena in Asset Class?

Athena, the AI layer of Asset Class, gives every member of your team their own Claude-embedded AI agent for investor relations, business development, finance, compliance or portfolio management. Each agent works only within that person's permissions. Athena reads your firm's data, drafts the work and queues it for review. Your team approves, amends or rejects each item, and the decision, approver and timestamp are recorded.

Which AI model does Asset Class use?

Asset Class uses Claude, the AI model built by Anthropic. Athena, the AI layer of Asset Class, embeds Claude across the platform and connects it to your records, documents and actions. Asset Class accesses Claude through Anthropic's commercial API, so your firm's data is never used to train AI models. Each agent can only see and act on data its user is permitted to access.

Does Asset Class automate data entry?

Yes, Asset Class captures data from the sources your firm already has. Athena, the AI layer of Asset Class, scans subscription agreements, side letters, statements, notices, meeting transcripts, email, calendars and external data sources, then stages the extracted details on the right record. Nothing Athena stages updates a record until a permitted user signs off, and each approver is logged.