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Data, automation and intelligence

Large companies have a data department.
Skippr can be yours.

Skippr connects the systems a business already runs — accounts, ERP, CRM, stock, jobs and spreadsheets — into one reliable picture. Then it automates the reporting, checking and chasing people still do by hand.

  • Working results in weeks, not a six-month project.
  • No new software for the team to learn.
  • No data team to hire.

Read-only access to startThe business owns what Skippr buildsNo account managersUK-based

The problem ​

The business is running on people doing work that software should be doing. ​

Information is spread across the accounts package, the ERP or job system, the CRM, supplier and customer portals, email inboxes — and a lot of spreadsheets.

SageXeroDynamicsSAP Business OneERP and job systemsCRMStock and warehousePower BISpreadsheets

And somewhere in the middle, good people are:

  • exporting reports and reconciling one spreadsheet against another
  • building the management pack by hand every week or month
  • copying the same information from one system into another
  • chasing numbers that do not agree
  • answering the same questions from the MD every week
  • maintaining Excel workbooks that only one person understands
  • making decisions on figures that are days or weeks out of date

That costs three ways: hours of skilled people's time every week, decisions made on old or wrong numbers, and money quietly leaking in places nobody has time to look.

The usual answers are expensive. Hire more analysts. Commission a consultancy. Buy another piece of software and hope it fits.

There is a better option.

Say what is taking too long →

The capability big companies take for granted ​

Large companies employ whole teams of data engineers and analysts. Their job is to join up the systems, check the numbers, and turn them into decisions and automation.

Most businesses with 50 to 500 people cannot justify that team. So the work lands on finance, operations, and whoever is good with Excel.

Skippr exists to give those businesses the same capability without the hire. The engine discovers source data, keeps schemas honest as they change, and lands a trusted picture in the warehouse the business already uses.

What you get:

  • An engineer on the real problems — not a consultant with slides.
  • One joined-up picture of how the business actually runs — every order, job, customer, supplier and pound, connected.
  • One version of the numbers that the MD, finance and operations all trust.
  • Automation that acts on it — the reports, checks, alerts and reconciliations that currently need a person.

A data team, without hiring one.

What Skippr does ​

Management information that produces itself ​

Weekly and monthly packs — sales, margin, cash, stock, debtors, pipeline — built automatically from accounts, CRM and operational systems. Ready on Monday morning, not Thursday afternoon.

Find where money is leaking ​

Margin erosion, unprofitable customers and products, slow payers, billing errors, stock that is not moving, jobs running over. Found across all of the systems, not just one.

A live view of operations ​

Orders, stock, production, deliveries, purchasing and customers in one place, so problems show up today rather than at month-end.

The weekly spreadsheet job, automated ​

If someone downloads three spreadsheets every Friday, joins them, checks them and emails the result around the business…

that is probably software. Skippr builds it, and they get their Friday back.

Existing systems, working together ​

Keep the ERP, CRM and accounts package. Nothing has to be ripped out. Skippr makes the systems already paid for work together — including the Power BI dashboards nobody quite trusts yet.

Businesses like this ​

Skippr works with established, growing businesses in traditional industries. If questions like these are hard to answer quickly and confidently, it can probably help.

  • Manufacturing and engineeringWhich products and customers actually make money once scrap, rework and overtime are counted?
  • Wholesale and distributionHow much stock has not moved in six months — and which customers cost more to serve than they are worth?
  • Construction and contractingWhich jobs are running over their quoted hours and materials right now, not at the end of the job?
  • Logistics and transportWhat does each delivery really cost, by customer, route and vehicle?
  • Professional servicesWhich clients are profitable once write-offs, overruns and late payment are included?
  • Food, farming and processingWhere are yield, waste and price changes eating into margin, batch by batch?

How it works ​

From first conversation to working solution in weeks. ​

  1. 01
    A 20-minute conversation

    You say what takes too much time, costs too much money or needs too many people. Skippr says honestly whether it can fix it.

  2. 02
    Read-only access

    Skippr connects to the systems involved. It usually needs a couple of hours of the team's time. Nothing is changed in those systems.

  3. 03
    Findings in plain English

    Skippr shows what the data says: where the gaps, errors and leaks are, and what to build first. No jargon, no 80-page report.

  4. 04
    A working solution

    The first report, automation or tool goes live and the team starts using it — in weeks, not months.

  5. 05
    Keep improving

    Once the first problem is solved, the next one follows. The team gets a working environment to explore the numbers themselves.

You get the outcome. Skippr deals with the machinery.

What this looks like in practice ​

Examples of the kind of work. Businesses and figures are illustrative.

150-person distributor

The weekly sales and margin pack took two people most of Friday. Now it builds itself overnight from the accounts and ERP, and flags customers whose margin has slipped.

90-person engineering firm

Jobs were only costed after they finished. Now quoted and actual hours and materials are compared every day, so overruns are caught while they can still be fixed.

300-person manufacturer

Stock, purchasing and production lived in three systems. One joined-up view exposed slow-moving stock tying up cash, and stopped duplicate reordering.

Why this is faster than a consultancy ​

You do not buy another piece of software. ​

You get an engineer and the technology to solve the problem.

Behind the scenes Skippr uses its own data platform and engineering tools. The self-hosted engine is Skipprd — describe a source and a destination, then discover, schema and sync. They connect to the mix of systems a growing business runs, work out how the data fits together, keep up when it changes, and keep a clear record of where every number came from.

That means the work never starts from zero. It is why delivery is measured in weeks, and why it costs a fraction of a traditional data project.

The result sits between software and consultancy: an engineer who solves the problem, with software economics underneath.

Why this is different ​

Traditional consultancy

Meetings → requirements → architecture → six months → a PowerPoint and an invoice

Traditional software

Buy it → configure it → integrate it → train everyone → discover it does not quite fit

Working with Skippr

The problem → the data → a working solution

Skippr combines its own technology, automation and AI-assisted engineering to shorten the distance between “this is a problem” and “here is the solution.”

Who builds it ​

You work directly with the engineer who builds it. ​

Paul Hudson

Paul Hudson

Engineer · Founder, Skippr

Paul Hudson has spent 20 years building the systems that businesses run on — joining up data, making slow processes fast, and making sure the numbers can be trusted.

He has built and shipped more than 100 software projects, founded a software company, led engineering in startups and large companies, and worked directly with senior stakeholders.

  • Cut a company's cloud costs by 50%, worth six figures every year (Intelematics).
  • Helped take a new platform from nothing to live across 65 stations and 15 trains, and supported major new-business tenders.
  • Helped architect the platform and engineering practice of a venture-backed startup through rapid growth (CloudCycle).

There are no account managers and no juniors learning on the clock. The person on the call is the person who builds it.

He still writes the code. That is why Skippr moves fast.

Your data, your systems, your call ​

  • Read-only to start. Skippr does not change anything in the source systems unless asked.
  • The business owns what is built. The reports, automations and data models stay with you.
  • Confidential by default. Happy to sign an NDA before seeing anything.
  • No lock-in. Everything is documented, so another engineer could pick it up.
  • UK-based. Skippr works with businesses across the UK.

Questions ​

Our systems are old. Can Skippr still work with them?

Usually, yes. If the data can be exported, queried or reached through a login, Skippr can normally work with it — Sage, Xero, Dynamics, SAP Business One, bespoke databases, even Access and Excel.

Our data is a mess.

That is normal, and it is where the work starts. Part of the job is finding the gaps, duplicates and errors, and fixing them so the numbers can be trusted.

We do not have an IT department.

You do not need one. Skippr needs someone who can grant access and someone who can explain how the business works.

Do we need to buy new software?

No. Skippr works with the systems already in place.

How much does it cost?

It depends on the problem. After the first conversation Skippr agrees a fixed price for the first piece of work before it starts, so there are no surprises. It is typically far less than hiring an analyst or commissioning a traditional data project.

How quickly will we see something?

First findings usually arrive within a couple of weeks of access, and a working solution within weeks rather than months.

What if something happens to the engineer?

A fair question. Everything Skippr builds is documented and lives in systems the business controls, so another engineer could pick it up.

Who this is for ​

A good fit if… ​

  • The business has 50–500 people and has outgrown spreadsheets.
  • It runs on several systems that do not talk to each other properly.
  • Finance or operations people spend more time preparing numbers than using them.
  • Management information takes heroic manual effort.
  • Money may be leaking somewhere, without the people to find it.
  • A two-year, fortune-sized data project is not the answer.
  • There is a specific, expensive problem that should be gone.

Probably not a good fit if… ​

  • Another generic dashboard is the goal.
  • A six-month requirements exercise is what is wanted.
  • A large in-house data team is already in place.
  • The brief is a strategy document and a departure.

Start with the biggest problem ​

No transformation programme. No data strategy. No new software budget. Just the one job that costs the most time, money or people — and a straight answer on whether Skippr can fix it.

Prefer to write it down?

Describe the problem

Email hello@skippr.io or use the contact form. Every message is read.