What one operator built

A COO running several funds tracks entities, close status, filings and cash across a dozen spreadsheets.

One screen for funds, entities, share classes, investors, positions, month-end close and the regulatory calendar, with P&L checked against NAV and flagged at 20 basis points. The desk view: the full operating picture an operator works from, behind the morning brief.

Cash sits across custodians, prime platforms, banks and wallets, and nobody sees it by legal entity until someone builds the spreadsheet.

Pulls balances read-only into one daily view grouped by entity, takes manual entry where no feed exists, and keeps every snapshot.

An administrator error is expensive once it reaches investor statements, and most managers only spot-check the NAV pack.

Rebuilds each fund's books from the administrator's workpapers, reconciles them line by line, classifies every difference and keeps a break register through sign-off.

Operational due diligence ratings depend on who reads the documents, and conflicts between documents get missed.

Runs every review against a versioned rubric, checks documents against each other, and issues a rated report for an allocator or a readiness review for a manager.

A launching manager often picks an administrator, auditor or prime broker based on who called last.

Ranks providers by their share of the manager's closest peers, matched on strategy, domicile, structure and size, and lists what to ask each one.

Finding allocators who actually buy a strategy means reading thousands of filings, and a keyword match is not a mandate.

Screens every SEC-registered adviser that reports a private fund, plus the allocators most likely to invest, by size, strategy, service providers, client type and growth.

A manager raising capital rarely knows which allocators actually buy its strategy, and a keyword hit in a brochure is often boilerplate.

Scores registered allocators on public-filing evidence that they buy what the manager sells, cites each finding to the page, and profiles what their diligence will ask.

The owner of a construction company was spending time on bills, pay applications and paperwork instead of jobs, with a sale on the horizon.

Assigns every back-office step to automation, an outsourced bookkeeper or a named person, and keeps entry, approval and payment release with different people, as a buyer's quality-of-earnings review expects.

Outsourcing the books means handing financial data to a vendor a small business has no easy way to vet.

Scores the vendor against a written request list covering entity, licensing, staffing, system access, data handling, NDA, insurance and references, and flags which gaps to write into the contract as conditions.

A CFO-services firm served many clients from records spread across systems that did not agree, with no standard statement of each client’s requirements and no named reviewer behind much of the work.

Builds the firm’s operational risk infrastructure over twelve weeks: a paying-client register reconciled to billing, a standard requirements document for each client with a named preparer, reviewer and backup, a weekly late-work report, a missed-delivery process, a documented ticket escalation path and a client service KPI report.

Finance and operations professionals have no reliable way to see where they stand against peers or what their experience is worth.

Merges a resume, a LinkedIn export and supporting documents into one profile, then ranks it against peers overall and within its role cluster, with a pay range built from federal wage data and H-1B salary filings for New York City and Fairfield County. Documents are processed in the browser and stay on the candidate's device.

Candidates rarely know which skills separate them from the next level, so they invest in the wrong ones.

Shows the skills a candidate has and the ones missing at their level, lays out the path to the next seniority level, and ranks the additions worth making by how often employers ask for them.

Advice on reaching the C-suite is anecdotal. Nobody shows the actual career paths of the people who got there.

Maps how sitting executives at capital markets firms reached their roles, built from biographies in SEC proxy filings and verified one by one, and compares the candidate's path with theirs across 4 firm types: banks, asset managers, fund administrators and broker-dealers.

Strong operators undersell themselves on paper, and generic resume tools write in a voice that sounds like nobody.

Takes a guided career narrative of up to 5,000 words, typed or dictated, matches the candidate's own voice, and calibrates wording against how peers at each level describe the same work. Produces resumes tuned for the 5 applicant tracking systems large employers use and for human readers, plus a one-line tagline.

Candidates prepare for finance operations interviews with generic question lists that miss the technical depth the role needs.

Runs practice sessions of 5, 10 or 15 questions across 6 role tracks, set by seniority and focus, with a hint on what a strong answer covers and optional feedback on each answer.

Most candidates accept the first offer because they cannot tell which terms are below market or how to ask for more.

Compares an offer with market benchmarks, ranks what to counter on with suggested language, and marks up the offer terms clause by clause.

Open roles at fund managers are scattered across hundreds of careers pages, so candidates miss the ones that fit.

Checks fund managers' careers pages every week across the hiring platforms fund managers use, including Workday, Greenhouse and Lever, pulls open operations roles, tags each by firm tier and location, compares them with the prior week before publishing, and feeds the Open Roles step in the Candidate Portal, where each role is scored for fit.

A one-person firm has no back office: mail, calendar, files, follow-ups and the contact base all compete with client work.

Builds a weekday brief of what needs attention, triages the inbox, syncs business development activity each week, refreshes the firm's data monthly, and answers from a phone whether a person or firm is already in the network. It merged 10,861 raw contact records from three sources into 6,340 people and tracks 1,712 of them by outreach wave and status. The phone view: what needs a decision today, readable in two minutes by the person who signs off.

Prospects want to see the work before they take a call, and a fund COO can tell in ten seconds whether a demo is real.

The public site and working versions of the dashboards on invented data that follows real fund structures, fee terms and reconciliation breaks, so anyone can use them without seeing a real fund.