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VSI Technologies

Portfolio reporting without the fire drill.

One reporting layer across companies that share no systems.

Industry overview

Inside a private equity operation

Every portfolio company runs a different stack, and the reporting cycle is a fire drill in which analysts rebuild the same views by hand. The numbers arrive late, they arrive inconsistent, and the operating team spends the window arguing about definitions rather than about performance.

A portfolio is a collection of companies that were bought, not built, which means they share nothing. Different accounting systems, different charts of accounts, different definitions of the same metric, different close calendars. Every reporting cycle is therefore an integration project performed manually by analysts, and it happens again next month.

The cost is not primarily the analyst time, expensive though that is. It is that the numbers arrive too late in the period to act on, and that the operating partner’s meeting gets consumed by reconciling definitions rather than by discussing what the numbers mean. A variance discussion that begins with "which revenue figure is that" has already lost most of its value.

Standardising the portfolio is the obvious answer and it is not available. Migrating a portfolio company onto a common system is a multi-year programme with a real disruption cost, aimed at a company that may be sold before it completes. Nobody funds it, and they are right not to.

Diligence has the same shape in compressed form. A data room arrives, a small team reads it under time pressure, and the risk is not what they find but what they do not have time to read. The work is document comprehension at volume against a deadline, which is precisely the shape of task where machine assistance is most useful and most defensible.

And the reporting demands are increasing rather than stabilising. Limited partners ask for more, more frequently, in more standardised formats, and the operating model that produced quarterly numbers by hand does not extend to it.

Common challenges

Challenges we see across private equity

If three or more are true, the rest of this page is about your operation.

  • The reporting cycle is described internally as a fire drill
  • An operating review opens by arguing about which figure is correct
  • The same metric is calculated differently at two portfolio companies
  • Numbers arrive too late in the period to change anything
  • Diligence risk is what nobody had time to read, not what was found
  • A limited partner request triggers a week of manual assembly

How we help

Five practices, applied to private equity

AI, cloud, cybersecurity, hardware and programme delivery, one integrated bench, each practice applied to how private equity actually operates.

  1. Agents for the firm’s own operating drag: portfolio-company reporting collection and normalisation, data-room document review support in diligence, LP-request handling with material-non-public-information boundaries enforced by design, and pipeline hygiene in the deal CRM.

  2. A data layer that survives the fund’s growth: consolidated portfolio reporting on Snowflake or Microsoft Fabric, NetSuite and Sage Intacct feeds standardised across portfolio companies, and an environment a new platform acquisition can be onboarded into in weeks.

  3. Security posture as a diligence asset: the firm’s own perimeter hardened against the wire-fraud playbook that targets funds, and a repeatable 100-day security uplift for new portfolio companies, the same assessment, the same controls, every acquisition.

  4. Fleet standardisation across the portfolio: one procurement pipeline, one build standard, one lifecycle policy, so each add-on acquisition inherits working IT instead of reinventing it.

  5. Value-creation plans turned into delivery plans: carve-out and integration programmes run with the discipline of the deal model, workstreams owned by name, and a cadence that surfaces slippage while it is still recoverable inside the hold period.

Where we start

Automation candidates

Deliberately mundane. The impressive-sounding workflow is rarely the one worth doing first.

  • Monthly and quarterly reporting assembled across mismatched systems
  • Metric definitions applied consistently rather than per company
  • Diligence: document review and data-room summarisation
  • Operating reviews: variance explanations drafted from the actuals
  • Investor reporting packs

Systems we integrate with here

If you run one of these, this is the conversation.

  • NetSuite
  • Sage Intacct
  • Salesforce
  • Snowflake
  • Microsoft Fabric

Our solutions

How we transform private equity operations

What happens today, what changes, and what to watch for as each workflow is automated.

Monthly and quarterly reporting

Today
Analysts pull from each portfolio company’s system, map it by hand into a common template, and reconcile the differences under time pressure.
After
Extraction and mapping run on a schedule against each company’s system as it is, with exceptions surfaced for a human rather than silently resolved. The analyst reviews rather than assembles.
What to watch
The mapping is the asset and it has to be visible and editable. A black-box mapping is one nobody will trust when a number looks wrong, and the first time it looks wrong is when the whole thing gets abandoned.

Metric definitions

Today
Each company calculates its own version. The differences are known informally by whoever has been there longest.
After
One definition set, applied at the reporting layer, with each company’s local calculation and the adjustment to the standard both visible.
What to watch
Showing the adjustment matters more than the standard figure. A portfolio company finance director who cannot see how their number became the reported one is one who will dispute it every cycle.

Diligence

Today
A small team reads a data room under deadline. The risk is what nobody got to, and nobody knows what that was.
After
Full-corpus summarisation and issue-spotting with citations back to the source document, so the team reads the flagged material closely and knows what was covered rather than what fitted in the time.
What to watch
Every finding must cite its source document and page. An uncited summary is unusable in this context, the value is in directing attention, never in substituting for reading the document that matters.

Operating reviews

Today
Variance explanations written the night before by whoever knows the business, with quality varying by author and available time.
After
Draft explanations assembled from the actuals and prior commentary, for the operating partner to correct and extend, so the meeting starts from a shared account rather than from an assembly exercise.
What to watch
These are drafts and they are wrong in interesting ways. Presenting them as answers rather than as starting points would degrade the discussion the review exists for.

Investor reporting

Today
Assembled manually per request, in whatever format was asked for, with the same underlying numbers rebuilt each time.
After
Generated from the same reporting layer, in the required format, with the lineage of each figure available if questioned.
What to watch
Investor reporting carries obligations. Anything going out under a fund’s name is reviewed and signed by a person, without exception.

The operating picture

Where the agent layer sits in the fund cycle

Your operating loop todayThe agent layer we deploy into it
01

Source

Deal flow arrives faster than the team can qualify it.

Agent layer

Keeps the pipeline CRM current, filings, news, prior contacts, so partners qualify from a complete picture.

02

Diligence

Data rooms measured in thousands of documents, on a clock.

Agent layer

Indexes the room, extracts contract terms into a comparison grid, and flags the anomalies for counsel.

03

Own

Monthly reporting from portfolio companies in twelve different formats.

Agent layer

Collects, normalises and reconciles the reporting pack, the ops team analyses instead of re-keying.

04

Exit

The sell-side story has to be assembled from years of records.

Agent layer

Builds the document trail, KPIs with sources, contracts, compliance records, before the bankers ask for it.

Source, diligence, own, exit, the loop the firm runs on every position. Agents compress the document work at each stage; investment judgement, valuation and anything price-sensitive stays with the deal team.

Platforms and systems

Technology we work with in private equity

The systems of record this sector runs on, and why each one matters to a deployment.

NetSuite
Common at mid-market portfolio companies. Its chart of accounts structure shapes how mapping has to work.
Sage Intacct
Frequent in the same band, with a different dimensional model, which is precisely the mismatch the reporting layer exists to absorb.
Salesforce
Where pipeline and bookings live, and therefore where forward-looking metrics come from rather than the ledger.
Snowflake
The consolidation layer where a portfolio-wide view is practical to build without touching any company’s stack.
Microsoft Fabric
The alternative consolidation layer where a firm is already committed to the Microsoft estate.

The constraint

What makes this sector harder

Standardising the portfolio is a multi-year programme nobody has budget for, so the reporting layer has to work over the systems as they are. That means mapping definitions rather than migrating data, and accepting that the layer is the standard rather than waiting for the stacks to become one.

The design has to assume the portfolio never standardises, because it will not. Companies get bought and sold, and any solution premised on a common system at the company level is a solution that is permanently three acquisitions from being true. The reporting layer is the standard; the companies stay as they are.

That makes the mapping the most valuable artefact in the system, and it has to be legible. When a number looks wrong, and it will, in the first cycle, the response has to be for somebody to open the mapping and see how the figure was derived. A black box fails permanently at that moment, and the failure is a trust failure rather than a technical one.

Portfolio company finance teams are a constituency with limited incentive to co-operate. They have their own close, their own board, and no reporting line to the fund’s analysts. Anything that adds work at their end will be deprioritised, so the design has to take what their system already produces rather than asking them to produce something new.

And the sensitivity of the data is higher than in most sectors. Portfolio company financials are material non-public information about businesses in a transaction pipeline, which sets requirements on access control, retention and who may see what, including within the firm. That is an architecture input, not an afterthought.

Glass towers seen from below, rising into low cloud.

Compliance

Compliance that shapes private equity deployments

The regimes your organisation operates under, and what each one constrains in a deployment. We design to these from the first architecture diagram, they describe your obligations rather than our credentials, and VSI's own position publishes only once it is substantiated.

Material non-public information handling
Portfolio financials are sensitive in a way that constrains access control and who may see what, including internally.
Limited partner reporting obligations
Anything going out under the fund’s name is reviewed and signed by a person, and its figures need traceable lineage.
Valuation policy and audit
Reported figures feed valuation. Anything automated in that chain needs a documented method the auditor can follow.
Portfolio company data ownership
The data belongs to the company, not the fund. Access arrangements are agreed rather than assumed.

How we work with public-sector and regulated buyers

Success stories

The track record behind the practice

Published engagements from adjacent sectors carry the same disciplines, programme governance, systems integration, workflow automation, that a private equity deployment draws on. Every figure publishes under a named attestation.

Browse the case-study library

The first month

What starting looks like

What actually happens, week by week. Note where the design conversations sit, before the build, not after it.

  1. 01Week 1

    Definition mapping across the portfolio: what each company calls each metric and how each is actually calculated

    Definition mapping across the portfolio: what each company calls each metric and how each is actually calculated. This is normally the first time it has been written down.

  2. 02Week 2

    Access and consent with the portfolio company finance teams, on terms that add no work at their end

    Access and consent with the portfolio company finance teams, on terms that add no work at their end. Their co-operation is the delivery dependency.

  3. 03Weeks 3-4

    Two or three companies wired into a reporting layer, with the mapping visible and the adjustment from local to standard shown per figure

    Two or three companies wired into a reporting layer, with the mapping visible and the adjustment from local to standard shown per figure.

  4. 04End of month

    A cycle run in parallel with the manual process, compared line by line

    A cycle run in parallel with the manual process, compared line by line. Differences are findings about definitions, which is the point.

Next step

A free 20-minute private equity assessment

Portfolio-wide reporting across mismatched systems, and what it costs today.

No preparation required and nothing to install. Bring the workflow that costs you the most hours; leave with a view of what we would automate first, what it depends on, and what we would not touch.

Book the free assessment

Questions

Asked often enough to answer here

Do portfolio companies have to change their systems?
No, and the design assumes they never will. The reporting layer works over the systems as they are, taking what each already produces. Anything that adds work at the portfolio company end will be deprioritised by a finance team with its own close and no reporting line to you, so a design that requires their effort is a design that degrades quietly.
What happens when a reported number looks wrong?
Somebody opens the mapping and sees how it was derived, in one step. That is the single most important property of the system, and it is why the mapping is built to be legible and editable rather than embedded. The first cycle will produce a number somebody disputes; whether the system survives that moment is determined entirely by whether the derivation is inspectable.
How do you handle a new acquisition?
By mapping its definitions to the standard set, which is a days-long piece of work rather than a project, that is the whole reason the standard lives at the reporting layer rather than at the company level. It also means diligence and post-close reporting share the same definitional work instead of being done twice.
Can this help with diligence as well as reporting?
Yes, and it is often the more visible win because the deadline is real. Full-corpus summarisation with citations back to source lets a small team know what was covered rather than what fitted in the time available. Every finding cites its document and page, an uncited summary is unusable when the question is what you missed.
Who can see what?
Access control is an architecture input here rather than a configuration step, because portfolio financials are material non-public information about businesses in a transaction pipeline. That includes restricting visibility within the firm where deal teams and operating teams should not see the same things, and it gets designed in week two rather than added later.
What if a portfolio company is sold mid-cycle?
Its data comes out of the layer and the retention position is defined in advance rather than decided during a transaction. This is worth settling at the start: the question of what happens to a divested company’s data is one nobody wants to be answering under a signing deadline.