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Operational AI

AI for the work behind the numbers.

CORE AI is the AI assistant inside Quantium. Ask a question about your funds, and it reads the approved records, shows each step and answers with figures you can trace back to source.

  • Answers cite their records
  • Read-only
  • Your permissions apply
Fund II NAV, Q3 2026F2Fund II
Why did Fund II's NAV go up last quarter?

CORE AI

Worked through 5 steps

Fund II's NAV rose 33.3m to 445.9m in Q3 2026. Capital call #7 and valuation gains more than offset Distribution #9 and fees.

NAV bridgeIn USD · 1 Jul to 30 Sep 2026
ItemAmount
Opening NAV, 30 Jun 2026412,600,000
Capital call #732,135,000
Distribution #9(18,400,000)
Management fees and expenses(2,135,000)
Net valuation gains21,736,000
Closing NAV, 30 Sep 2026445,936,000

412,600,000 a CORE figure: opens it in CORE

SourcesQuantium data 18 recordsAnalysis 1 run
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Read-only. Answers cite their sources and never change your data.

Chat and Tasks

AI that does the work, with your approval

Chat is read-only: CORE AI answers from your records and never changes them. Tasks prepare drafts, and people with the right permissions decide what is recorded or sent.

Chat

Ask anything about your funds.

Questions about any fund, investor or portfolio company. Attach an LP's reporting questionnaire and CORE AI fills it in from your approved records. Chat is read-only: it never changes your records.

ChatTasksLP questionnaire, Q3 2026Read-only
LP_quarterly_questionnaire.xlsxFill in the portfolio section with each company's Q3 performance for Fund II.

CORE AI

Done. I filled the Portfolio sheet with 4 companies from Fund II's approved records at 30 Sep 2026.

CompanyInvested (USD m)Fair value (USD m)MOIC
Ledgerline8.012.41.55x
Orbitane6.59.11.40x
Tallypay5.05.61.12x
Paxtera4.54.10.91x
LP_quarterly_questionnaire.xlsxQuantium data 16 records

Read-only. Chat never changes your records.

Ask a follow-up

Tasks

Hand CORE AI a piece of work.

Book an invoice and split it between the main and parallel funds by commitment. CORE AI drafts the entries; you approve before anything is saved.

ChatTasksAudit Fee Allocation Details
Split the 20,000 audit fee invoice between Fund II and Fund II Parallel by commitment.

CORE AI

Read the invoice · checked commitments · drafted the split

I've drafted 2 changes: the audit fee split by commitment, booked as accrued audit and tax expense. Nothing is saved until you approve.

Fund Operations2 draft
EntitySubtypeAmountState
Fund II62.5% by commitmentAudit & tax preparatoryAccrued · 2 Nov 202612,500.00Ready
Fund II Parallel37.5% by commitmentAudit & tax preparatoryAccrued · 2 Nov 20267,500.00Ready
Total20,000.00
2 of 2 selectedRe-checkApprove all

Every change waits for your approval and is logged.

Control and trust

AI that sees only what each person is allowed to see.

CORE AI works inside Quantium's permissions. LP data, ledgers and bank details stay with the roles your firm allows, in Quantium and in connected assistants.

  1. 01

    Numbers come from the books

    IRR, allocations and NAV come from Quantium's calculation models, not a language model. Each answer cites the records it used.

  2. 02

    Permissions follow the person

    CORE AI answers only from the funds, entities and records the signed-in user can already open in Quantium.

  3. 03

    LP data stays restricted

    Investor records and contacts are visible only to users whose CORE permissions include them.

  4. 04

    Separation by fund and GP entity

    Teams see the funds, entities and investor groups they are assigned to. Nothing crosses that line through AI.

  5. 05

    Read-only chat, with an audit trail

    Chat answers never change records. Drafts go through maker-checker approval, and activity is logged.

  6. 06

    Same rules in Claude and ChatGPT

    Through the MCP Server, connected assistants work within the user's permissions and the access your firm approves. Client fund data is not used to train AI models.

User permissions in COREExample users. Set per scope by your administrator.
PermissionFinanceInvestor relationsDeal team
DashboardSingle fundFull accessRead onlyRead only
Entity managementFund VehicleFull accessRead onlyRead only
Entity managementAssetFull accessRead onlyFull access
Entity managementInvestorFull accessFull accessNo access
ToolkitsCapital call-distributionFull accessRead onlyNo access
AccountingJournalsFull accessNo accessNo access
AccountingBank feedFull accessNo accessNo access
CRMContactsFull accessFull accessNo access

Permission names and levels as they appear in CORE admin. CORE AI and the MCP Server answer within the signed-in user's permissions.

DTDeal team · Fund II Read-only
List Fund II's LPs and their commitments.

CORE AI

Your permissions don't include investor records for Fund II, so I can't show LP names or commitments. I can show fund-level NAV and performance instead.

Roles and permissions are set during implementation.

In Quantium, or in your own AI tools

Two ways to use AI with Quantium

Ask about a fund, attach a file, or describe the problemF2Fund IIRead-only

In Quantium

CORE AI

Chat is read-only. Ask questions about the fund, investor and investment records you are permitted to see. Review the figures returned and, where supported, the source records and calculation steps. Some workflows prepare drafts for an authorized user to review.

Quantium MCP ServerConnected
ClaudeYour permissions
ChatGPTYour permissions

In your own AI tools

MCP connection

Approved assistants such as Claude or ChatGPT retrieve authorized Quantium data through the MCP server, within your access configuration and the tool's own governance.

See it in Claude and ChatGPT

MCP server

Your fund data, inside Claude and ChatGPT.

Quantium's MCP Server lets approved AI assistants read your fund, investor and portfolio records directly. Your team asks in the tool it already uses and gets answers built on the same approved data as your reports.

  • Access configured by your firm
  • The same permissions as the signed-in user
  • No copying figures into spreadsheets or prompts

Read the MCP Server announcement

Quantium connected via MCP
Fund II unfunded commitments
Using Quantium, show Fund II's unfunded commitments by LP.
get_capital_accountsQuantium

Here are Fund II's unfunded commitments at 30 Sep 2026, from Quantium:

LPUnfunded
US University Endowment90.0m
Global Pension Alternatives54.0m
Asia Alternatives FoF32.4m
General Partner3.6m
Total unfunded180.0m

All four are approved capital account balances.

Reply to Claude…

Claude can make mistakes. Please double-check responses.

Supported assistants and setup are confirmed during scoping.

Responsible AI

Responsible AI. Enterprise-grade security.

Quantium's AI is designed around the security, confidentiality and governance requirements of private markets.

01

Your data remains yours

Client data is never used to train or fine-tune shared AI models without your explicit written authorization.

02

Secure AI infrastructure

AI features run on Microsoft Azure OpenAI, under the same encryption and security controls as the rest of the platform. Prompts are not retained after processing.

03

Strict access controls

AI works inside Quantium's permission framework. Each user can reach only the data they are already authorized to see, in Quantium and in connected assistants.

04

Human oversight

AI assists with analysis, reconciliation and workflows. Financial decisions and critical actions remain subject to human review and approval.

05

Governance and accountability

AI features go through security testing, change management and monitoring, within Quantium's SOC 2 Type II control framework and our AI governance policy.

Our principle: make AI capable enough for complex private markets workflows, while keeping the security, control and accountability institutional clients expect.

Compliance & Data SecuritySecurity FAQ

Questions finance leaders ask

What is Operational AI in Quantium?

Operational AI in Quantium is AI that works on your controlled fund data. CORE AI answers questions and runs finance tasks inside Quantium, and the MCP Server lets approved assistants such as Claude and ChatGPT query the same data. Both work within each user's permissions, and answers show the records they come from.

Does AI replace the fund accounting process?

No. Quantium's accounting, allocation, cash-flow and reporting records remain the basis for financial calculations. AI assists with information retrieval, analysis and selected tasks.

Why not connect AI directly to our fund accounting system or data warehouse?

Because AI needs approved numbers with context. A fund accounting ledger records transactions, but it does not on its own link them to the investors, capital accounts and portfolio companies they relate to. An AI tool reading the ledger directly can return a number without the context that makes it right. A data warehouse can bring those sources together, but someone still has to decide which numbers finance and the business have approved. Quantium holds that approved layer: fund, investor and portfolio records linked to each other. Your team controls tags on those records, such as whether a cash flow is included in or excluded from an IRR, without changing the underlying accounting data. AI then works from numbers your team has already agreed.

Can AI work with our existing fund administrators?

Yes, where their agreed data is brought into Quantium. AI functions operate on the information available within your permitted Quantium environment; they do not connect to every administrator's system automatically.

Can we use Claude, ChatGPT or our firm's existing AI environment?

Yes, where supported. Quantium's MCP connectivity supports approved external AI environments, subject to compatibility, configuration and access permissions. We confirm the specific connector and deployment during scoping.

Can we automate recurring investor reporting tasks?

Some of them. Quantium supports report-building and task-oriented capabilities. The degree of automation depends on your data sources, reports, approvals and deployment, and we scope it before committing to an outcome.

Can AI change our financial records?

Not without approval. Financial changes follow the permissions and approval workflow configured for each task. Where enabled, CORE AI prepares draft work for an authorized user to review. We confirm the supported tasks in your demonstration.

Can a user see more through AI than they could in Quantium?

No. An analyst permitted to see Fund A cannot use CORE AI or a connected assistant to retrieve Fund B's investor balances. Access is enforced on the Quantium side.

Is our data used to train AI models?

No. Client data is never used to train or fine-tune shared AI models without your explicit written authorization.

Which AI models does CORE AI use, and where do they run?

CORE AI runs on Microsoft Azure OpenAI, under the same encryption and security controls as the rest of the Quantium platform. Prompts are not retained after processing.

Can CORE AI create records or transactions?

It can prepare them. Entity details, investor data and transactions drafted by CORE AI are recorded only after a person with the right permission reviews and approves them.

How are AI features tested and governed?

Each AI feature goes through security testing before release, then change management and ongoing monitoring, within Quantium's SOC 2 Type II control framework. Our AI governance policy is available for your due diligence.

Ask your questions against the records your team can verify.

See how Quantium can assist analysis, preparation and reporting while preserving clear responsibility for the numbers.

Request an AI workflow demo