Business Process Automation
Automate repetitive business processes with the right mix of workflow design, integrations, apps and AI. Scorchsoft diagnoses, builds and supports reliable operational improvements.
Automate the work that slows your business down.
Bring Scorchsoft the repeated admin, hand-offs, queues, rekeying, errors or visibility problem. We will identify the simplest reliable way to improve it.
Where the friction usually is
You already know which process this is
Most operational drag looks the same from the inside: a chain of steps where the work stops moving, gets retyped, or disappears until somebody asks. Here is the shape of it, and the shape of what replaces it.
Before — where it breaks
- Enquiry arrives by email and is logged by hand
- The same details are retyped into two more systems
- Approval waits in someone's inbox — no visibility
- An error surfaces downstream, days later
- A report is assembled manually at month end
Nobody owns the whole chain, so each hand-off is where the delay hides.
After — the engineered version
- Captured once, at the point it arrives
- Distributed to every system that needs it, automatically
- Approval routed with reminders; exceptions flagged to a person
- Validation catches the error at the point of entry
- The report assembles itself from the source data
The exceptions still reach a human. That is the design, not a shortfall.
The same pattern shows up across most of the processes we are asked to look at:
- Enquiries and follow-up
- Approvals
- Document handling
- Data reconciliation
- Scheduling
- Field inspections
- Reporting
- CRM hygiene
- Compliance checks
- Cross-system updates
We have deliberately attached no savings figures to these. What a process is worth depends on your volumes, and we would rather measure yours than quote someone else's.
The diagnostic
What makes a process worth automating
Not every irritating task is a good candidate. We check a process against six things before quoting anything — miss two or three and automating it usually costs more than it saves.
It happens often enough to matter
Frequency is what turns a small saving into a real one. A monthly task rarely repays the build.
The rules are stable enough to describe, with identifiable exceptions
They need not be simple, but they must hold still — and the exceptions need naming up front, because unhandled ones are what quietly kill automations after launch.
The cost, delay, risk or error rate can be observed
If we cannot measure it before, we cannot demonstrate anything after.
The required data and systems are accessible
An API, a database, an export or a system we can integrate with. If the data lives only in someone's head, that is a different project.
A process owner and affected users can participate
Someone who knows how the work actually runs, and users who will test it. Automation imposed on an unwilling team gets routed around.
There is a safe manual fallback for early controlled use
A way for the business to keep operating if we switch the automation off. Without one, early live use is a risk rather than a trial.
The decision path
The simplest thing that reliably works
We start at the top and stop as soon as the problem is solved. Each step down costs more to build and more to run, so there has to be a reason to take it.
Remove the step
The cheapest automation is work you stop doing. A surprising number of steps exist because they once did, not because anyone needs the output.
Improve the process
Reorder it, batch it, or move the decision to where the information already is. No software, nothing to maintain.
Configure an existing tool
If your CRM, ERP or finance system already does this and nobody switched it on, we will say so. We are not a reseller and we earn nothing by selling you a build.
Integrate systems
Most rekeying is two systems that never learned to talk. See system integration and integration advice.
Automate the workflow
Deterministic rules moving work between steps, with status, retries and alerting. Predictable and cheap to run.
Build an app or portal
When the process needs somewhere to live — multi-user, permissioned, auditable. See portal development and web applications.
Add a controlled AI capability
Only where the work genuinely needs judgement over unstructured input. See AI automation and AI agent development.
Bring us the process, not the solution. Choosing the step is the part we are actually paid for.
Conventional versus AI-assisted
When to use rules, and when to use AI
These are not competing philosophies. Most good systems use both — deterministic rules for the spine, AI for the parts rules cannot reach.
Deterministic rules are usually preferable when…
- The input is structured — fields, records, numbers, dates.
- The same input must always produce the same output.
- The step is consequential: money moving, records changing, something irreversible.
- The process must be auditable — you can explain exactly why the system did what it did.
- Volume is high and per-transaction cost matters.
AI can help when…
- The input is unstructured — emails, documents, notes, transcripts, photographs.
- The task is classification or extraction where the categories are fuzzy.
- Something needs drafting for a human to review and approve.
- You want a guided judgement with a recommendation and a reason, not an automatic decision.
- Writing the rules exhaustively would take longer than the process is worth.
Where AI is used, the controls have to be proportionate to what it can affect — human review on consequential actions, and a record of what it did. The failure mode we see most often is AI applied to a problem deterministic rules would have solved, which adds cost, latency and a new source of error to a step that used to be predictable.
How we work
From the current workflow to a measured one
Seven steps, in this order. Users are involved from step one, because installing a tool does not create adoption and adoption is what decides whether any of this produces value.
Map the current workflow
As it actually runs, including the workarounds nobody documented.
Identify the constraint
The one step where the delay, cost or error concentrates.
Design the future workflow
With the people who will work it, before anything is built.
Build, configure or integrate
Whatever the decision path landed on — and no more than that.
Test exceptions and controls
Against real cases, especially the awkward ones your team already knows.
Launch with users
Controlled use, with the manual fallback still available.
Measure and support
Against the baseline, and keep supporting it as volumes and systems change.
Which route fits
How the work gets delivered
It depends on how well defined the problem and the solution already are.
| Where you are | The route | What you get |
|---|---|---|
| Defined process and defined solution. | A planning engagement, then Velocity Sprints | A costed build plan, then fixed sprints delivering it. |
| Material operating pain, but no defined project. | Managed AI & Automation Improvement Programme | A managed 90-day programme: we find it, prioritise it, deliver it and prove it. |
| Defined process needing a short diagnostic first. | AI Velocity Planning, AI Discovery or AI Strategy — whichever depth fits | A separately priced planning engagement that resolves the uncertainty before you commit. From £1,500 + VAT. |
| An operational live system to run and improve. | AI Momentum, Support & Maintenance, Hosting | Ongoing development, support and infrastructure under one arrangement. |
| A strong ready-made fit. | Work Ticket Buddy, AI Agent Engine | A shorter path, configured rather than built — where it genuinely fits, and we will say when it does not. |
Controls and reliability
Safe to leave running
An automation you cannot audit, monitor or switch off is a liability wearing an efficiency costume. These are defaults in our builds, not extras on a quote.
Least-privilege access and proportionate data handling
The narrowest access that lets it do the job, and no more personal data than the process needs.
Human review for consequential or uncertain actions
Proposed and approved rather than performed silently — and where the system is unsure, it says so.
Audit events and explainable process states
A record of what ran, on what input, with what result, and a state you can read without a developer.
Monitoring, cost controls and vendor records
You learn about a failure from the system, not from a customer. Where AI is used, we keep a record of the models and vendors involved and cap usage so running costs cannot run away.
Rollback, manual fallback and exception handling
A way to undo, a way to keep operating with it switched off, and a defined path for everything that does not fit the rules.
Security, privacy, ownership and support settled before launch
Who owns what, who supports it, and how personal data is handled — agreed in writing, not discovered afterwards.
Why Scorchsoft
Technology-neutral, because we are not selling a platform
A vendor tied to one automation platform will recommend that platform, because it is the only recommendation available to them. We can integrate your systems, automate a workflow, build a portal, add a controlled AI capability — or tell you to change the process and build nothing.
Bespoke software, portals, mobile apps, integrations, automation, practical AI, UX, delivery management, adoption support and ongoing maintenance sit in one team. That matters most at the point where a project stops being a build and starts being something people have to use every day.
Related capabilities
Evidence and ROI
How we measure it — without promising a number
We do not publish savings percentages, because a figure from someone else's process tells you nothing reliable about yours. What we can describe is the sequence we use to find out.
Agree a baseline
Time per case, error rate, turnaround, backlog — whatever the pain actually is, measured before we build.
Observe controlled use
Real work, real volumes, manual fallback still available, for long enough to be meaningful.
Measure operational movement
The same measurement as the baseline, taken the same way, so the comparison is honest.
Distinguish that from cash
Operational movement is not automatically money. Whether hours saved become cash depends on what you do with the capacity — that is your decision, and we will not claim it for you.
Without a baseline, “it feels faster” is the only evidence available, and that is not enough to justify the next investment.
Frequently Asked Questions
What can actually be automated?
Anything that repeats, follows rules stable enough to describe, and touches systems or data we can reach. In practice that covers most enquiry handling, approvals, document flows, reconciliation, scheduling, structured capture, compliance checks and reporting. What resists automation is work depending on knowledge nobody has written down, or a process that changes shape every time it runs — those need fixing before they need automating.
Is AI required?
Usually not. Most operational friction is solved by removing a step, connecting two systems, or applying deterministic rules — all cheaper to build, cheaper to run and easier to audit. AI earns its place where the work involves unstructured text, fuzzy classification, extraction, drafting or guided judgement. We will tell you which applies before you spend anything.
Can you integrate with our existing systems?
That is the normal starting point. We integrate with CRMs, ERPs, finance systems, bespoke databases and third-party APIs, and we work with what exists rather than proposing you replace it. Where a system has no API there are usually still options — scheduled exports, database access, or a supported integration layer. We check this properly during discovery, because “it has an API” and “it has an API that does what we need” are different statements.
How much does automation cost?
It depends which step on the decision path solves it. Configuring an existing tool or automating one well-understood workflow is a small piece of work. An integration across several systems, or a portal for the process to live in, is a larger one. We size it after understanding the process, not before — and we would rather tell you a process is not worth automating than sell you a build that never repays itself.
How long does it take?
A configuration or single workflow is typically weeks rather than months. Integrations and bespoke builds depend on how many systems are involved and how quickly we can get access to them — access is more often the constraint than engineering is. We will give you a range once we have seen the process, and we will tell you what would make it slower.
Who owns the solution?
You own the bespoke work we produce for you and the documentation with it, on the standard terms in your contract. Where we use our own pre-existing accelerators to get there faster, those remain ours and you receive a licence to use them within the delivered solution. We identify anything in that category before we build it.
How is it supported afterwards?
Automations need looking after — systems change, APIs deprecate, volumes grow and new exceptions appear. That is what Support & Maintenance, AI Momentum and hosting are for. Better to plan for it at the start than to discover it when something has been failing quietly for a fortnight.
How do you handle security?
Least-privilege access, secrets managed properly, encryption in transit and at rest, UK GDPR-appropriate handling of personal data, an audit trail of what the automation did, and monitoring so failures surface immediately. Where an automation can take a consequential action, a human approval step sits in front of it by default. Where AI is involved, we also keep a record of the models and vendors in use.
How is evidence or ROI measured?
Baseline first, then controlled use, then the same measurement repeated. We report operational movement — time, errors, turnaround, backlog — and we keep that separate from claims about cash, because whether saved hours become money depends on what you do with the capacity. We do not publish savings percentages from other people's processes.
What if we do not yet know which process to choose?
Then this is not quite the right starting point, and the Managed AI & Automation Improvement Programme is. It exists precisely for the case where the operating pain is real but the project is not yet defined: we find the friction, prioritise it, deliver against it and prove what changed — without you having to write a brief first.
Experience delivering
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Scorchsoft is a UK-based team of web and mobile app developers and designers. We operate in-house from Birmingham, and our offices are located in the heart of the Jewellery Quarter.
We can deliver your innovative, technically complex project, using the latest web and mobile application development technologies.
Scorchsoft develops online portals, applications, web apps, and mobile app projects. With over sixteen years experience working with hundreds of small, medium, and large enterprises, in a diverse range of sectors, we'd love to discover how we can apply our expertise to your project.