Next Matter vs FundCount: Orchestration for Regulated Fund Operations
FundCount is a fund accounting system of record - the general ledger, partnership accounting and NAV calculation engine. Next Matter is the orchestration and governance layer that coordinates the full operational process around that ledger, across every system a fund administrator runs.
At a glance
A factual, feature-by-feature view of how the two platforms differ for regulated fund and financial operations.
| Dimension | Next Matter | FundCount |
|---|---|---|
| Core function | Orchestration and governance layer across the full operational process, coordinating people, systems and AI agents end to end. | Fund accounting system of record: general ledger, partnership accounting and NAV calculation. |
| AI automation | Native AI agent orchestration inside every workflow, with human-in-the-loop approval and full auditability built in. | Automation depends on third-party RPA add-ons such as Automation Anywhere and Kofax RPA layered on the accounting system. |
| Who builds workflows | Operations teams, no-code, changing their own processes directly and typically live in days. | Requires integration and implementation work to stitch the accounting platform to other systems. |
| Process coverage | Investor onboarding, KYC/AML, capital calls, subscriptions and redemptions, exceptions, reporting and NAV oversight, end to end. | Accounting and NAV production within the ledger. |
| Audit trail | Covers the full operational process by default - every approval, exception, AI action and human decision, timestamped and attributed. | Covers accounting postings and NAV calculations. |
| Maker-checker (four-eyes) approval | Native default at step level across every workflow, not only accounting. | Applied within accounting workflows. |
| Integrations | Native connectors to ledgers (including FundCount), CRMs, KYC providers and data rooms, plus a typed API. | Connects to reporting, document and RPA tools. |
| Typical buyer | Head of Operations, COO, compliance and audit leads at asset managers and fund administrators. | Fund accountants and financial controllers. |
An accounting system is not an operations platform
The two sit at different layers of the stack. A fund administrator needs both, and the ledger alone does not solve the coordination problem.
Books and records, inside one system
FundCount solves the books-and-records problem: the general ledger, partnership accounting and the NAV calculation itself. Its scope is what happens inside the accounting system.
The work that surrounds it - chasing documents, checking an investor against a KYC provider, routing an exception to the right reviewer, obtaining sign-off before a capital call goes out - happens across email, spreadsheets, the CRM, the data room and the ledger.
Coordination, approvals and exceptions across every system
Next Matter runs that surrounding process as one governed workflow. Every step - automated, AI or human - has an owner, a deadline, a control and an audit record, whichever system the data lives in.
FundCount stays the system of record for the ledger; Next Matter reads from and writes to it as part of a process that also spans onboarding, KYC/AML, capital calls, exception handling and NAV oversight.
Native AI agents, not bolted-on RPA
How automation is built determines how much of it survives an audit and a change of process.
RPA layered on the accounting system
Automation around FundCount depends on third-party RPA integrations such as Automation Anywhere and Kofax RPA. The automation lives outside the platform, driven by scripted interactions with screens and files.
That means a second vendor, a second change process and a second place to look when a control fails or a regulator asks who approved a step.
AI agents as a first-class part of the workflow
Next Matter orchestrates AI agents natively. An agent extracts, reconciles, classifies or drafts inside the same workflow that then routes the result to a named human for approval, with the model, the inputs and the outputs recorded.
There is no separate RPA layer to maintain, because the automation and the governance around it are the same object.
Governance across the whole process, not just the ledger
Maker-checker and audit evidence are fund-ops-native defaults in Next Matter, and they apply everywhere the work happens.
Maker-checker as a property of the step
In Next Matter, four-eyes approval is switched on at a step. You name who prepares and who checks; the platform enforces separation of duties, records the named individuals and blocks progression without sign-off.
That control applies to an onboarding decision, a KYC escalation, a capital call notice and a NAV release alike - not only to a posting inside the accounting system.
A timestamped audit trail over the full process
Every automated action, AI-agent step and human decision is timestamped and attributed by default, with inputs, outputs and approvals held together against the case, investor and fund.
An accounting audit trail explains the entries. Next Matter explains the process: what was requested, what was checked, what was escalated, who approved it and when.
Proof in production
Next Matter runs regulated operations today across fund administration, banking and venture.
Ocorian
300+ fund specialists running governed fund operations. Read the case study
Trade Republic
Bank-grade client operations at consumer scale. Read the case study
b2venture
Venture operations to roughly 800M EUR AUM. Read the case study
Swan
Embedded-finance operations at scale. Read the case study
Next Matter is SOC 2 Type II certified - see the Trust Center - and ISO 27001 certified, with SSO/SCIM and data residency you control.
See it against your own process
Bring a real workflow - a capital call, an investor onboarding, a NAV pack - and we will show you how it runs with AI, maker-checker approvals and a full audit trail.
Book a demo