Map it. Measure it. Then decide what to automate.
An independent audit of how work actually flows through your organisation, with numbers attached. It is the cheapest project you will run this year, and it is the reason the next one succeeds.
What you leave with
- The process most worth auditing first, and why
- The questions the audit would answer, and who needs to be in the room
- An early read on where time and money are leaking
With a senior architect, not a salesperson. Sixty minutes, no cost, no obligation.
Nobody in the building has the whole picture. That is normal.
Every organisation past a certain size runs on processes that no single person can describe end to end. Work gets done anyway, through workarounds, private spreadsheets and one or two people who simply know. That is fine until you try to scale it, automate it, certify it, sell the company, or replace the person who knows. Then the gap between the documented process and the real one becomes very expensive, very quickly.
The symptoms
Month-end takes a week. The same errors recur. Two departments give different answers to the same question. New hires take six months to be useful. Every automation attempt stalls halfway.
What we produce
A mapped process with real numbers against it: volume, cycle time, cost per case, error and rework rates, handoffs, and the specific points where value leaks out.
What you do with it
A ranked list of changes (delete, simplify, integrate, automate) with the expected return on each, so the next investment is defensible in front of a board.
Four to six weeks, mostly spent listening.
Audits fail when they are run from a conference room. Most of ours is spent with the people who actually do the work, because the real process lives in their heads.
Scope
Agree the boundary and the questions the audit has to answer. A vague audit produces a vague report nobody acts on.
Observe
Walk the process with the people who run it. Note the workarounds: they are not failures, they are evidence of where the system does not fit.
Quantify
Pull the numbers from the systems of record. Volume, timing, error and rework rates. Opinion becomes arithmetic.
Recommend
A ranked plan with effort, expected return and sequencing, including the things to stop doing, which are usually the cheapest wins.
What you get, in hand
A process map you can actually read, a data pack behind it, a ranked recommendations register with effort and return, and a short executive summary for the people who will fund the work. All of it yours, in editable formats, whether or not you engage us to do any of it.
Where AI fits, honestly
An audit is the only responsible starting point for automation or AI. It tells you which steps are stable enough to automate, which need judgement, and which should be deleted before anyone spends money on them. Roughly half of what people intend to automate should not be.
Automation that follows an auditWhat the audit delivers
A measured picture of how the work really runs, and a ranked list of what to change.
Process maps
The work as it really happens, including the spreadsheet and the Friday fix, not the version in the procedures manual.
Measurement
Volume, cycle time, error rate, rework and cost per case, so the business case is arithmetic.
Systems and data
Which systems each step touches, where data is re-typed, and where copies disagree.
Ranked recommendations
Simplify, integrate, automate or stop, in the order that pays back fastest.
Automation candidates
The steps that suit workflow, integration or an AI agent, with a rough effort and return for each.
A plan you can act on
A short report and a roadmap your team can run, with or without us.
Sound familiar?
- Work is slow and nobody can say exactly where it stalls
- You are about to buy automation or AI and want to know what it should do
- The same information is entered into several systems
- Errors are found late and fixed by hand
- Growth means hiring more people for the same manual steps
A small, senior team that stays accountable.
- Architect-led. Every engagement is led by a senior architect who stays accountable for the decisions, from the first hour to the handover.
- Over twenty years of building and integrating software. Enterprise integration, cloud platforms, product delivery and now AI agents, across sectors where systems cannot fail.
- Independent and vendor-neutral. AWS, Azure and Google Cloud, and whatever platforms you already run. We recommend what fits, including doing less.
- Research, applied. The patterns we use are published openly on The Software Lens and applied by our R&D Wing, so you can read the reasoning before you hire us.
- We run what we recommend. We build our own product, Nexcubator, on the same architecture we design for clients.
- You own everything. Your repository, your cloud account and your documentation from the first week. Based in Ireland, working across the EU and beyond.
Questions we get asked
Will this feel like an inspection to our team?▼
It should not, and we work hard at that. We are documenting a system, not appraising people, and the workarounds staff have invented are usually the most valuable evidence in the whole audit. We say that to every team we sit with, on day one.
How much of our people's time does it take?▼
Typically two to four hours per role involved, spread across a few weeks, plus read-only access to the relevant systems for the numbers. We work around operational peaks rather than through them.
Are you going to recommend we buy your software?▼
We do not sell software licences, so there is no product we are steering you toward. A recurring outcome of these audits is 'stop doing this step' or 'change this policy', which bills nobody anything.
What if the audit says our current supplier is the problem?▼
Then that is what the report says. We are frequently engaged precisely because an independent read is needed on work somebody else delivered, and we do not soften findings to keep a future opportunity comfortable.
One free hour. No pitch, no obligation.
Bring the problem you are stuck on: an integration that keeps breaking, a cloud bill nobody can explain, an AI project that is all demo and no product, or a platform you are about to invest in. You will leave with a straight answer and a written summary, whether or not you ever work with us.
- Architecture and integration review
- AI feasibility: what will actually work, and what will not
- AWS, Azure and Google Cloud cost and design
- Business process audit and ISO readiness
- Technical due diligence before you invest or acquire
Twelve tools, and a person carrying data between them.
The most common finding in a process audit is not a slow step; it is the gap between systems: people, hours, projects and invoices typed into four places. Nexcubator is the product we built for that finding: one record for the whole business, from hiring to payroll.
See what one platform looks like