Business Process Automation with AI

Run faster
Stay consistent
Free your team for higher-value work.

We automate the right parts of your process, using AI where it creates value and keeping people in control where judgment matters.

Not sure where to start? Bring us the process that is taking too much time, creating inconsistency or limiting your team.

Discuss your process
Team discuss | Industries

Where is the process holding your business back?

Repetitive work tends to grow quietly. More customers, requests or transactions often mean more checking, copying, chasing and updating behind the scenes.

Where is the process holding your business back?
  • Signal icon

    Too much time goes into running the process

    People spend more effort processing, checking and coordinating than the work should require.
  • Growth icon

    The process slows down between steps

    Approvals, handoffs or information moving between systems create avoidable delays.
  • outcome icon

    The outcome depends too much on who handles it

    Different ways of working create inconsistency, errors or unnecessary rework.

You bring the bottleneck. We work out what should change.

Talk to our Experts now

What process automation could look like in your business

Sample scenariosBeforeAfter
Invoice processing

Finance opens each invoice, checks supplier and PO details, re-enters data and follows up on exceptions.

AI reads the invoice, automation validates and updates the right system, while Finance handles only mismatches and exceptions.

Customer request handling

Someone reads every request, identifies what the customer needs, checks their account, forwards it and updates the CRM.

AI identifies the request, automation updates and routes it, while the team focuses on cases that need judgment or customer attention.

Approval workflow

Requests move between email, spreadsheets and different people, with someone chasing approvals and checking what happens next.

Automation routes each request, applies agreed rules and records each step, while people stay responsible for the decisions that need approval.

Use the right automation for each part of the process.

AI adds value where information needs interpretation. Other steps may work better with rules, integrations or human judgment.

Review icon

Rules for certainty

Use fixed logic where the answer should be predictable.

AI for interpretation

AI for interpretation

Use AI where emails, documents, comments or other messy inputs need to be understood.

People for judgment

People for judgment

Keep human approval where context, customer impact or financial responsibility matters.

Start with one process
Go further only when it makes sense

  • AI Process
    Audit

    Find what is worth changing.
    Identify where AI, automation or a simpler change can remove meaningful work.

    Business Process Audit

    We assess:

    • Manual effort and volume
    • AI and automation potential
    • Data and system readiness

    Outcome: Prioritized opportunities + measurable business case.

    Request AI Process Audit (opens in new window)

  • Automation
    Build Sprint

    Turn the opportunity into a working workflow.
    Build the right mix of AI, automation, integrations and human control.

    Automation
    Build Sprint

    We build:

    • AI and workflow logic
    • System integrations
    • Human checkpoints and measurement

    You get: Working workflow · Integrations · Baseline · Handover

    Get Quote (opens in new window)

  • Optimize
    and Own

    Measure, improve and take ownership.
    Tune the live workflow and help your team take control.

    Optimize
    and Own

    We help you:

    • Measure against the baseline
    • Tune the workflow
    • Train an internal owner

    You get: Performance review · Tuning · Handover

    Explore ongoing support (opens in new window)

Not sure if your process is worth automating?

Discuss your process

Process automation needs controlled data handling.

We design system access, data use and human oversight before the workflow goes live.

  • 1.

    Approved technology stack

    We use an internally approved automation stack with client environments separated and access controlled.

    Tools are selected based on reliability, integration fit, maintainability, and data handling requirements. New tools are only introduced where they clearly improve the workflow without adding unnecessary risk or complexity.

  • 2.

    Least-privilege access

    Each workflow receives only the system permissions, credentials, and data access it actually needs to operate.

    Access is defined at the minimum required level and reviewed as the workflow evolves. This reduces unnecessary exposure while keeping integrations practical for day-to-day operations.

  • 3.

    Controlled AI data use

    Customer or business data is not sent to third-party AI models without client approval and a clear processing purpose.

    We define what data AI can process, where it can be sent, and which steps should remain rules-based or human-controlled. This keeps AI use aligned with the agreed data handling approach.

  • 4.

    Traceable data handling

    Access and workflow activity are logged and handled according to agreed client data requirements.

    This creates a clearer record of how data moves through the workflow, which systems interact with it, and where controls apply. It also supports later review, troubleshooting, and accountability.

  • 5.

    Human checkpoints

    Sensitive customer-facing, financial, or business-critical actions remain behind an appropriate human approval step.

    Automation handles repeatable work, while judgment and accountability stay with the right person. Human checkpoints are placed where an incorrect automated decision could create operational, financial, or customer impact.

AI automation backed by real software engineering.

We combine process thinking, AI, software engineering and measurable delivery, so the workflow works beyond the first demo.

Process first, tools second

We decide what should change before choosing AI, automation or the platform behind it.

AI where it adds value

We use AI for interpretation, while rules and workflows handle predictable parts of the process.

Engineering beyond low-code

When standard automation tools reach their limit, we can build the integrations or software required.

Results you can measure

We establish a baseline before go-live, so improvements can be compared with the process you had before.

Built for production

Your workflow is designed with ownership, maintainability and ongoing operation in mind, not just the initial build.

15+ years supporting businesses
across 20+ countries

  • TeamViewer
  • Recurrent
  • SandGrain
  • Topicus
  • Atleta
  • Flexpress
  • DWS
  • Methodemter
  • Jancis Robinson
  • 3Rs Centre Utrecht
  • C2C Platform

Customer success is our priority

  • TeamViewer Case Study

    One global site that performs the same in 21 languages

    Marketing campaigns outpaced internal dev capacity. Sunbytes took on site performance, DevOps and code review so releases stayed on schedule across every localized version.

    600k+ customers served · 21 localized versions · 8 engineers

    Read the case study
  • DWS Case Study

    Price and invoice comparisons automated at scale

    Manual price and invoice comparisons were slow and error-prone. Sunbytes built integrated tools to classify pricing data, parse supplier invoices, and automate comparison across vendors.

    Up to 800K products · ~150K invoices · 10+ suppliers

    Read the case study
  • FlexPress Case Study

    One scalable platform supporting 50M+ monthly visitors

    Flexpress was managing a growing portfolio of publisher sites across different technologies. Sunbytes consolidated them onto a unified core platform and strengthened the architecture for high-traffic, campaign-driven workloads.

    Hundreds of features delivered · 2M+ user ecosystem · 9-person team

    Read the case study
  • JancisRobinson Case Study

    A full website relaunch with continuous product evolution

    JancisRobinson needed to rebuild and relaunch its website without disrupting ongoing operations. Sunbytes supported frontend and backend development, integrated an AI chatbot, and stayed involved for continuous platform improvement.

    Revenue up 25% · 3,005 new users in 2025 · 4-year partnership

    Read the case study
  • Sandgrain Case Study

    From concept to a working prototype in 3 sprints

    SandGrain needed to turn its post-quantum authentication concept into a secure, scalable cloud platform without compromising reliability. Sunbytes assembled a seven-person multidisciplinary team and delivered a functional prototype in three sprints.

    15 releases · 3,380 test cases · 1,777 automated tests

    Read the case study
  • Recurrent thumbnail

    Keeping high-traffic media platforms moving for six years

    Recurrent Ventures managed multiple high-traffic news sites across modern and legacy systems. Sunbytes supported WordPress development, bug mitigation, SEO, DevOps and QA to improve stability, search performance and delivery consistency.

    6-person dedicated team · 6-year partnership · Tens of millions of monthly users

    Read the case study
  • 3Rs Center Thumbnail

    Legacy database rebuilt with full migration in five months

    3Rs Centre Utrecht needed to modernize a web-based research database running on a non-standard CMS. Sunbytes rebuilt it on WordPress, migrated the legacy data, and improved the user experience.

    WordPress rebuild · Full legacy data migration · Delivered on schedule

    Read the case study

A delivery partner with proof beyond the project plan

Sunbytes has supported international software delivery since 2011 across hundreds of projects. That experience shapes how scope, ownership, quality, and release decisions work.

  • 15+

    Years building software

  • 300+

    Projects delivered

  • 20+

    Countries
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FAQs

Start with the process that is not working as well as it should

Bring us the bottleneck. We’ll help determine what should change and where automation or AI can create measurable value.

Team work

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