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Business Process Automation for the work still moving between systems by hand.

Business process automation turns a manual, repetitive workflow into software that runs it, so the work happens the same way every time without a person shepherding each step.

  • 120+Projects delivered across 12 countries since 2012
  • 100+Senior in-house engineers, six countries
  • 5.0Unified rating across 61 client reviews on Clutch
  • ISTQBCertified QA inside every sprint
  • ISO 27001Certified security practice, audited by Quay Audit UK
  • ISO 9001Certified quality management, audited by Quay Audit UK

01Overview

When is a manual step worth automating?

It is worth automating when the systems already work, the people already know what to do, and the only thing moving work between them is a person. unicrew builds the software that moves it instead, and the exception path with it: the screen an operator uses for the cases software should not decide alone.

  • The process gets mapped before it gets builtWe map how the workflow runs today and who owns each step first. Automating a process two departments still disagree about only makes the disagreement faster.
  • The exception path is designed first, not lastWhat breaks an automation is the input nobody standardized, so the screen for those cases is a design decision at the start. That interface is what decides whether people use the automation or route around it.
  • The value is in the handoffsThe work that costs you sits in the gaps between systems, so we wire the workflow through the ERP, CRM and payment providers you already run rather than adding one more place to retype.
  • The rest of the cluster, when it fits betterBusiness analysis when the process is undocumented, platform and integration work when your systems do not talk, data engineering when the data is not trusted.

02Proof

What changed after the automation shipped

Three engagements, three different things that changed: adoption at RWTH Aachen University, throughput at a small Munich software company, and the paperwork behind every move at a US moving company.

  • Throughput that moved, not slidewareTwo operators at a small Munich software company typed datasheets by hand, roughly 5,000 a month. Our C# and AWS recognition tool about doubled that and freed them for other product lines.
    2xdata sets a month at a Munich software company, up from about 5,000 typed by hand
  • Adoption, the part that decides whether it was worth buildingRWTH Aachen University's custom time-tracking tool replaced guesswork with numbers people entered themselves. Barrett Values Centre's report automation came back in the expected time frame with little to no defects.
    ~40%more project leaders tracking their team's time, instead of guessing or delegating the task
  • Lead to invoice, automated end to endWe wrote Cloud Van Lines a lead-to-invoice platform from scratch: automated quoting, job-order agreements, emails and surveys, an inventory sheet, and online billing, with Twilio wired into the call center.
    4payment providers integrated for online billing on that platform: Authorize.Net, PayPal, USAePay and BluePay

03Compare

Automate it, buy a tool, or fix the process first?

Fix the process first if nobody can name the owner of every step today. Otherwise the choice is between a tool and a build, and what decides it is not volume but how much the input varies. An argument about who does what is not a specification, and software built on one ships the argument with it. Where the workflow is undocumented, the honest first purchase is business analysis, not automation.

Custom-built automationunicrew A no-code workflow toolConnect Screen-level RPAScript
Best forA process that is core to how you operate, spans several systems, and has to survive input that varies. Best forSimple, stable, low-volume handoffs between two SaaS products you already pay for. Best forA legacy system with no API, where scripting the screens is genuinely the only route in.
Trade-offCosts more up front and takes longer to first value than a subscription. Hard to justify for a workflow that runs once a quarter. Trade-offHits a ceiling on branching logic, volume and error handling. Every new edge case becomes an exception someone has to remember. Trade-offScripts break when a field moves or a document arrives in a new layout, and they break quietly.
You end up owningThe code, the integrations, and the process data the automation produces. You end up owningA subscription, and a list of exceptions still handled by hand. You end up owningScripts pinned to a screen layout you do not control.

Quick self-check

Tick what is true for you. The read-out updates as you go.

0 of 4 true

Automation is the wrong buy right now

None of the four is an automation signal. If nobody can name who owns each step, automating the workflow only makes the mess run faster, so start with business analysis. If the systems cannot reach each other at all, that is platform and integration work; if the data itself is what nobody trusts, that is data engineering.

Tell us anyway

One symptom, not yet a project

With one box ticked, the manual step may be one busy quarter rather than a structural cost. Automation bought to fix that arrives working and pointed at the wrong step.

Send us the workflow

Worth buying discovery, not yet a build

Two boxes and the manual step is built into how the business runs, not into one month's volume. Discovery is the small purchase here: the process map, the integration plan, and what we need from your side, before any build is committed to.

Book a discovery call

This is a build, and the question is sequence

Three boxes and the shape is settled: a custom automation across the systems you already run. What is open is order, which workflow goes first, and how much of the decision stays with a person.

Book a discovery call

Custom automation, and design the exceptions first

All four. This is the profile a connector or a screen-level script fails on, because what breaks it is the input nobody standardized rather than the volume. Here the exception path is the first design decision rather than the last.

Talk about the exceptions

Traditional robotic process automation (RPA) follows deterministic scripts. It clicks button A, reads field B, writes to spreadsheet C. It works well when a process is perfectly consistent and never deviates. When it hits something unexpected (a field that moved, a document in a different format, a missing value) it stops or fails silently.

Andrii BurdaSenior Engineering Manager, unicrew

04Capabilities

What we automate

Eight capabilities, from mapping the process you have today to keeping the automation alive once it runs.

  • Business process mapping

    We document the workflow as it actually runs today, who owns each step and where it stalls. That document is the "as is" map. On a food manufacturer's workflow programme it surfaced one department owning activities outside its area and several departments running the same task in parallel.

  • Automation solution design

    The "to be" version is the workflow after automation, and we design it with the blueprint behind it: what stays a human decision, what the software owns, which systems it touches, and how it scales.

  • Workflow automation development

    Workflow and document automation

    Plus the operator interface

    The core build: software that reads the documents, applies the rules and moves the work along, plus an operator interface for the cases a person still has to judge.

  • Business system integration

    Most of the value is trapped between systems. We wire the workflow into your ERP, CRM, payment providers and data stores so one process spans them.

  • AI agent development

    AI agents for multi-step work

    For work a script cannot hold

    Where the work varies too much for a fixed script, we build agents that reason through a sequence of steps and use your systems to carry them out. They are built to your requirements, and they stay a capability inside an automation engagement rather than the thing you are buying.

  • Document processing automation

    Document and language processing

    The parts that arrive as prose

    Natural language processing for the parts of a process that arrive as prose: transaction descriptions, documents in layouts nobody standardized. We proposed the NLP methodology behind a UK financial advisory firm's bookkeeping automation.

  • Process analytics and reporting

    Automation you cannot see is automation you cannot defend at budget time. We build the reporting that shows what ran, what failed, and where the friction still sits.

  • Automation testing and support

    ISTQB-certified QA validates the automation against real data, and we hand over automated tests you can re-run yourself. A culture-analytics client's report automation shipped with exactly that, so the client could QA and UAT the output across a variety of data sets independently.

05Trust

What an automation build hands you

An automation build hands back more than the running software: a written map of the process as it actually runs, tests you can re-run against it yourself, and the exception path your team works in every day.

  • Mapped firstA written "as is" process mapPortable: it reads the same to a new hire, an auditor or the next vendor
  • Yours to rerunAutomated tests handed over with the buildISTQB-certified QA validates the automation against your own data before rollout
  • Exceptions built inThe operator screen for what software should not decideThe difference between an automation people use and one they route around

06Stack

The stack we automate with

What your systems already speak decides most of this, not what we would pick. The report-automation build is C#; the data-recognition tool is C# on AWS microservices; our own agent proof of concept runs on AWS Bedrock and LangChain.

FrontendWhat your users touch
BackendServices, APIs, and business logic
AI & Data
  • AWS Bedrock
  • LangChain
  • NLP
  • MySQL
  • SQL
CloudWhere it runs, and what it costs

07Engagement

How an automation engagement is shaped, and how you pay

What differs between the three is how much you commit before you have watched the automation run on your own data. Discovery produces the process map and the estimate in every one of them.

  • A scoped automation build

    Phased build

    Discovery produces the process map, the integration plan, and an estimate. Then we build in phases, so one workflow is running on your own data while the rest is still being designed.

    Best when
    You know which process to automate and want the estimate before you commit
    You pay
    Billed hourly, quoted per project
    Typical start
    Two to four weeks
  • A locked scope, an estimate with hours per task, working code plus automated tests handed back. That is the shape a culture-analytics company used to get its reporting automated against a date, by adding development capacity rather than pulling its own team off other work.

    Best when
    The deliverable is well defined and the date matters more than the roadmap
    You pay
    Outcome based, quoted per project
    Typical start
    Two to four weeks
  • An autonomous unit that owns the automation backlog and stays with it as more of the operation comes into scope. The right shape when automation is a program rather than a project.

    Best when
    The backlog keeps going and you want one team accountable for it
    You pay
    Billed monthly, per team member
    Typical start
    Two to four weeks
An automation you already have

A written assessment first, and the rebuild is a separate decision

Whichever model you pick, a takeover starts with a short assessment of what the automation covers, where it fails and what should be rebuilt rather than patched. You get that in writing, and whether we then do the rebuild is your call rather than a condition of the assessment. There is no minimum engagement period.

08Industries

Industries we automate for

An automation inherits the rules of the process it replaces, which is why the sector decides more here than the technology does.

Deepest expertise

Logistics and transportation

Moving, freight and fleet operations where the real work is quoting, scheduling and paperwork rather than the vehicles. For a US moving company we wrote a lead-to-invoice platform from scratch that joins movers, agents, affiliates and company staff inside one system.

Deepest expertise

Hospitality and leisure

Booking, membership and venue platforms where the operational load is scheduling, payments and seasonal peaks, including a platform for the entertainment industry. Those are the systems an automation has to reach.

Accounting and financial advisory

We automated the reconciliation of transactions and invoices for a UK financial advisory firm, added encryption and secure authentication around the sensitive data, and proposed the methodology for categorizing transaction descriptions with NLP.

Fintech and payments

Wherever money moves, an automation inherits the security and audit requirements of the process it replaced, which makes them a design input rather than a hardening pass at the end.

EdTech and research

A German research university needed time-tracking people would actually do rather than another mandate, so the custom tool we built was kept deliberately simple and adoption was the measure.

E-commerce and distribution

B2B and B2C storefronts where the operational work is keeping the catalogue, the ERP and each marketplace in step, including a European manufacturer whose catalogue of more than 10,000 products outgrew its old systems.

Name the process, and get a straight answer on whether to automate it

The first conversation is about your workflow: which step, who owns it, and how often somebody has to stop and decide something by hand. If a tool you already own would do the job, we will say so.

Let's talk

What happens after you contact us

  1. We reply within one business dayWhat comes back is a first read on whether the step you described is worth automating at all.
  2. A call about the workflow, not the softwareWhich process, who owns each step, and what your team does today with the cases that do not fit the rule.
  3. A written "as is" process map and a shortlistHow the workflow runs today, where it stalls, and the steps worth automating first.
  4. Contracts and NDAs, then a start dateSigned before anyone gets access to your systems. Most engagements start within two to four weeks.

09Delivery

How does a business process automation project run?

Four stages: assess, design, build, roll out. We map the workflow as it runs today, design the automated version and estimate it, build and integrate in sprints, then stage the rollout so each workflow goes live only after the one before it has been adopted. The slow part is almost never the code, which is why every stage names what we need from you. Access is agreed under NDA before anything starts, and read-only wherever the work allows.

  1. Assessment and process discoveryWe sit with the people who run the workflow and find the steps that are manual, repetitive or quietly broken. From you we need access to those people and a real sample of the work, documents included, in the messy state they actually arrive in rather than a cleaned-up example.You getA documented "as is" process map, the bottlenecks named, and a shortlist of the steps worth automating.
  2. Solution design and estimateOur architects design the post-automation workflow and the blueprint behind it: the systems it integrates with, the stack, and what stays a human decision. Where responsibilities are tangled between departments, this is the stage that untangles them. From you we need someone who can settle those ownership questions, and documentation or credentials for every system in scope.You getA "to be" workflow, an integration plan for every system it touches, and an estimate broken down into hours per task.
  3. Build and integrateEngineers build the automation and wire it into your systems in iterative sprints, with ISTQB-certified QA inside each one rather than bolted on at the end. From you we need a test environment we can reach and a sprint review somebody from the business actually attends.You getWorking, tested automation at the end of every sprint, plus the interface your team uses to handle exceptions.
  4. Test, roll out and keep it runningRollout is staged rather than switched on at once: each workflow goes live only after the previous one has been adopted, with training in between. From you we need the people who will use it, for those sessions, and a named owner on your side once it is live.You getAutomated tests you own, a phased rollout plan with training, and monitoring so a failed run is caught by the system rather than by a customer.

10Client voices

Our clients say

See our client reviews
5.0 unified ratingacross 61 verified client reviewsRead them on Clutch

12Questions

Business Process Automation (BPA): Frequently Asked Questions

Cost and duration come back to the same variable, and it is not the technology: it is how much of the workflow has to be settled before software can be trusted to run it.

Business process automation (BPA) turns manual, repetitive workflows into software that runs them. In practice it removes the bottlenecks in how work moves today, cuts the errors that come from doing things by hand, and leaves a record of what ran and what failed. Your team stops shepherding the process and starts handling only the cases that genuinely need a person.

It depends on the process, so we scope it with you and quote against that. A headline figure on this page would be wrong for almost everyone who read it. Four things move the number: how many systems the workflow touches, how much of the input arrives in a form nobody standardized, how much of the process has to be redesigned before it can be automated, and how much QA the result needs. Discovery produces the estimate, broken down into hours per task, before you commit budget. Where the automation backlog keeps going and you would rather fund the team than the scope, that is team extension, billed monthly per team member.

Timelines track complexity, not category. The variable that moves them most is how well the process is understood before we start: a documented workflow crossing one or two systems is a different project from a multi-department program where responsibilities have to be renegotiated first. In our delivery experience an MVP-scale build runs 3 to 4 months with a traditional approach, and a complex enterprise system can take over 12 months. We stage releases so the first workflow is live long before the last one.

Yes. Connecting to what you already run is part of the build rather than an add-on to it. On a food manufacturer's workflow programme the automated workflow integrates with the ERP the group already ran, so data stayed consistent across every organizational unit. On a moving-company platform we integrated online billing through Authorize.Net, PayPal, USAePay and BluePay, plus Twilio for the call center and quote follow-ups. Those integrations get mapped in discovery, because the system nobody listed is where a schedule slips.

Then documenting them is the first deliverable, not a reason to wait. On a food manufacturer's workflow programme the existing workflows were not documented well enough to be understood, so we ran interview sessions and modeled the processes first. That surfaced real problems: a department responsible for activities with little connection to its area, and several departments executing some tasks in parallel. Those got fixed in the design, and the automation was built on the corrected process. If the open question is what to change rather than how to build it, start with business analysis.

A small, cross-functional team scoped to your project: business analysts to map your current and future-state processes, solution architects to design the blueprint and the integration plan, engineers to build the automation and any agents, and ISTQB-certified QA to validate that it runs cleanly. Our business analysts hold certifications including CBAP (Certified Business Analysis Professional), AAC (Agile Analysis Certification) and PMP (Project Management Professional). You get the roles the work needs rather than a fixed headcount, and the engineers are unicrew employees across six countries, working from Ukraine, Poland, Estonia and the UK, not a subcontractor chain.

By assuming it will meet inputs nobody planned for. QA runs against real data rather than happy-path samples, you get automated tests you can re-run yourself, and we monitor the automation after launch. Our own AI agent proof of concept taught us the sharpest version of this: an automation that depends on front-end UI selectors is only as stable as those selectors, so where an API exists we use it instead. Every engagement runs under our ISO 27001:2022 and ISO 9001:2015 certifications, audited by Quay Audit UK.

Custom automation from a full-service firm is a category, not a moat, and category claims are cheap, this page included. Four questions get a buyer past the category, and each one has an answer here. Ask to see the exception path rather than the demo: the screen an operator uses when a document turns up in a layout nobody planned for, from something that already shipped. Ours is the operator screen in a data-recognition tool we built, where the tool presents its first results and the operator releases or corrects them before they land in the database, and those corrections improve the recognition rate as the tool is used. Ask for review URLs, not a rating: a whole client interview says more than the sentence a vendor picked out of it, and every client quoted on this page opens their own. Ask whether the engineers are employees or a subcontractor chain, because in year three, when a field moves, that is what decides whether anybody who wrote your business rules can still be reached. Ours are unicrew employees across six countries. And ask what is missing from the certificate list, ours included: we hold ISO 27001:2022 and ISO 9001:2015, audited by Quay Audit UK, and we do not hold SOC 2. Two cases where the answer is not us at all: a two-step handoff between two SaaS products you already pay for, which a no-code connector will do in an afternoon, and a licence plus a partner to configure it, because we do not resell an automation platform.

When the same person is doing the same manual step often enough that everyone has stopped noticing it, and when you can still name who owns each step in the workflow. The second half is the one people skip, and it is the difference between automating a process and hard-coding an argument. Three situations make the case on their own: a volume of typing that has quietly become somebody's job, a deliverable with a date on it that a person assembles by hand every time, and growth the current process cannot absorb without adding people to do the same manual work.

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