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.
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 and 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.
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 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.
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.
From the current workflow to a measured one
How we work
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.
How the work gets delivered
It depends on how well defined the problem and the solution already are.
Defined process and defined solution
A planning engagement, then Velocity Sprints: a costed build plan, then fixed sprints delivering it.
Learn moreMaterial operating pain, but no defined project
The Managed AI & Automation Improvement Programme: a managed 90-day programme where we find it, prioritise it, deliver it and prove it.
Learn moreDefined 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.
Learn moreAn operational live system to run and improve
AI Momentum, Support & Maintenance and hosting: ongoing development, support and infrastructure under one arrangement.
Learn moreA strong ready-made fit
Work Ticket Buddy or the AI Agent Engine: a shorter path, configured rather than built — where it genuinely fits, and we will say when it does not.
Learn moreSafe 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.
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. Where the work is AI-shaped, that also covers AI consultancy and AI agents and automation development.
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.
Related Capabilities
The capabilities we most often combine with process automation. Explore the full list on our capabilities page.
Bring us the process, not the solution
Tell us where the work stops moving, gets retyped or disappears until somebody asks. We will tell you which step on the decision path solves it — including when the answer is to change the process and build nothing.
Frequently Asked Questions
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Discover How Scorchsoft Can Help
We would love to hear about your project. Please contact us, and share your goals; we'll respond with our thoughts and a rough cost estimate. 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 have over 16 years' experience making rich, functionally complex apps and web apps.
Building for teams across healthcare, logistics, motorsport and manufacturing
What Our Clients Say
Scorchsoft helped us take our idea for an app and make it a reality. Everything from the planning meeting to decide what we really needed to the project management and execution was great. It was delivered on time - early in fact - and on budget. Highly recommend.
Rebecca PalserDragonfly IntelligenceScorchsoft is a brilliant company with fantastic knowledge of the mobile app industry. From the project management to the development team, they have been the perfect candidate for our project, and we can't thank them enough!
Lance ChorltonGapped OnlineWe're really pleased with the work Scorchsoft has done in developing our web portal! They have been accurate with timelines and budget, delivering a solid product that allows us to monitor and manage patients remotely while they use our novel medical device at-home. The "plan - design - build" approach has worked well and saved us time in the long-run by catching requirements and issues early.
Daniel GreenSensTrainI'm really pleased with how my app came out, it was exactly what I was looking for. The team at Scorchsoft are great at what they do and made the whole process as simple and easy as possible. Being someone who is not very tech savvy the set up and back end operations were done in a great easy to use manner even for myself which makes using my app stress free. Thanks to all the team!
Ruben CarrollMosaic MasterpiecesThe new Flourish Education website has already removed a lot of manual processes, freeing up both schools, candidates and internal employees time. We are delighted with the look and feel which is clean, professional and more engaging. We are also pleased with the decision to have an HD video background on the homepage, and building immediate trust with our clients by giving them a taste of what it looks like in the Flourish Education offices.
James HancocksMarketing Manager, Flourish Education I can't believe how quickly we started to see results with this project. Scorchsoft provided us with graphic-designed mockups of how the app would look once built, and we were able to sell the product for use by our first customer before the product was finished. Since launching in March, we have secured a major television network as a client who now uses Image Approvals to manage the talent approval process for their productions.
Aimee SpinksMD, ImageApprovals.com
Need help building your ideas?
Tell us where you're headed and we'll come back with our thoughts, a realistic plan and a rough cost estimate. Scorchsoft is a UK-based team of app, portal and AI developers, working in-house from Birmingham's Jewellery Quarter.