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AI Automation for Belfast Businesses

Myth Digital is an AI development company in Belfast. Our senior in-house team builds custom automation flows and tools that plugs into your existing systems, so your team stops re-keying data, chasing approvals and routing documents by hand. No platform rip-and-replace required.

  • In-house Belfast team
  • Integrates existing systems
  • Milestone-based delivery
Talk to us about automationSee our AI services
Since 2015 Delivering AI and software
Myth Digital team at work in the studio

We build AI automation that can connect to the systems you already use, handling the repetitive work your team shouldn't be doing manually.

Talk to our Belfast team

AI workflow automation takes a process your team repeats daily or regularly and hands it to a trained model that runs it faster and more consistently. Think extracting data from documents, routing approvals or reconciling records across platforms.

The gap between knowing this exists and having it working sits in integration. Your CRM, ERP, document stores and internal tools all need to talk to each other. Off-the-shelf platforms rarely cover the specific logic your operations depend on.

Our in-house team in Belfast builds custom AI pipelines that slot into your existing stack. Extraction, validation and routing connect through APIs and adapters rather than platform replacement. Workflows run in the background and flag exceptions for human review, giving you measurable time back without changing the tools your team already knows.

AlphaVictor
Bushmills
Coca-Cola
Complieye
Elecsys
Glen Dimplex
LifePass
The Lir
NHS
The North Face
Perks
Queen's University
Deep RiverRock
SPAR

What automation patterns do we build?

These are the workflows we automate most often. Each follows a common shape: extract, validate, act.

  • Document Processing

    OCR & Document Extraction

    Invoices, contracts and forms arrive in dozens of formats. Our AI-driven OCR pulls structured data from every one, so staff stop re-keying information and error rates drop sharply.

  • Approvals

    Workflow Routing & Approvals

    How long do approval requests sit in someone's inbox? AI classifies incoming requests, assigns priority and routes them to the right approver. Bottlenecks clear and cycles shorten considerably.

  • Data Pipelines

    Extraction & Validation Pipelines

    We build pipelines that pull data from multiple sources, validate it against your rules and push clean records into your CRM or ERP automatically.

  • Customer Triage

    Intelligent Routing & Triage

    Customers reaching the right person first time is the goal. Inbound queries get categorised by intent and urgency, then routed to the correct team, cutting response times across the board.

  • Reporting

    Automated Reports & Dashboards

    No more Monday-morning spreadsheet wrangling. We connect live data feeds to dashboards that update themselves, keeping board packs current without manual effort.

  • Integration

    Legacy System Connectors

    Older systems without modern APIs still hold critical data. We build secure adapters so AI workflows can read from and write to them without replacing anything.

Myth Digital team working on a custom integration project at the Belfast office

Custom automation vs platform lock-in

Enterprise platforms like Salesforce and Microsoft Power Automate offer automation, but they pull you into their ecosystem. You end up reshaping your processes around the platform's constraints, migrating data into their structure and paying for features you don't need.

Custom AI automation works the other way round. We build around your existing tools, connecting your CRM, document stores, ERPs and internal systems through purpose-built integrations. Nothing gets ripped out. Your team can keep the software they already know. The automation layer sits on top, handling the repetitive work between systems.

For mid-market businesses running a mix of modern and legacy tools, that distinction matters. A platform switch is a six-figure project in itself. Our approach targets specific workflows within your current stack rather than replacing it wholesale.

Automation Use Cases We Build

Each workflow below follows the same pattern: extract, validate, act. Here's how that plays out across common automation projects we deliver from Belfast.

Invoice and Purchase Order Processing
Myth Digital team at work in the studio

Invoice and Purchase Order Processing

Paper and PDF invoices arrive in different formats. AI extracts line items, matches them against purchase orders and flags mismatches before anything hits your finance system.

  • Structured data extracted from unstructured documents
  • Automatic three-way matching against POs and receipts
  • Exceptions routed to a human reviewer with approvals logged
  • Integrates with existing ERP or accounting platforms
Employee Onboarding Automation
Myth Digital team at work in the studio

Employee Onboarding Automation

How many teams does a new starter touch before day one? HR, IT, finance, compliance. We connect those steps into a single triggered workflow so nothing falls through the cracks.

  • Offer acceptance triggers account provisioning automatically
  • Document collection and verification handled in one flow
  • Compliance checks run before day one
Compliance Document Review
Compliance dashboard with stats and a UK map

Compliance Document Review

Your compliance team shouldn't spend hours reading every clause against policy rules. AI reads incoming files, highlights non-compliant sections and generates a summary, freeing reviewers to focus on judgement calls.

  • Policy rules encoded and applied consistently every time
  • Flagged clauses linked to the relevant regulation
  • Reduced review time per document
  • Audit trail stored for every decision
  • Summary reports generated for compliance leads
Supply Chain Data Extraction
Myth Digital team at work in the studio

Supply Chain Data Extraction

Supplier data arrives via email, spreadsheets and portals in inconsistent formats. AI normalises it into a single schema your systems can use.

  • Multi-format ingestion from email attachments and APIs
  • Field mapping and validation against your master data
  • Anomalies flagged before data enters your pipeline
  • Works alongside existing CRM or ERP without replacement
Customer Support Triage
Myth Digital team at work in the studio

Customer Support Triage

Every inbound ticket, email and form submission gets classified by intent and urgency, then routed to the right team. Repetitive queries get a drafted response for review before sending.

  • Intent classification applied to every inbound message
  • Priority scoring based on content and customer context
  • Draft replies generated for common request types
  • Escalation rules keep complex issues with senior staff
Myth Digital team at work in the studio sessions

Built in Belfast, supported locally

Our team works from Howard Street in Belfast city centre. You get face-to-face discovery sessions, on-site user testing and ongoing support from the same senior engineers and designers who build your automation. No handoffs to offshore teams. No subcontracting.

We've engineered AI-driven data pipelines and document processing workflows first-hand, building production systems that extract, validate and integrate data across live platforms. That experience shapes every automation project we take on.

If you want a partner you can sit across a table from, get in touch and we'll walk through your workflows together.

Where are you starting from?

AlphaVictor app Make it happen The North Face campaign AI development Newell Stores app Software development Juice Jar app App development MPS Data Discovery to deployment The Lir website In-house UK team

How does an AI automation project work?

Every project follows four clear phases, each with defined deliverables and milestone sign-off before we move on.

  1. Discovery and Audit

    We map your current workflows, identify automation candidates and score them by effort versus impact. You get a prioritised roadmap and a clear scope for the pilot.

  2. Pilot Build

    We build a working automation for one high-value workflow, typically the top-scoring candidate. This proves the approach on real data before broader commitment.

  3. Full Implementation

    Proven patterns roll out across additional workflows. We integrate with your existing systems and validate accuracy at each stage. Full documentation is handed over alongside the build.

  4. Operate and Optimise

    Post-launch, we monitor performance, tune models and adjust rules as your processes evolve. You retain full ownership of the solution on Azure.

Recent work

Our track record

A decade building software that works harder than people have to

Since 2015
Delivering production software
More about Myth

  • AI Engineering

    Our team builds AI pipelines in Python alongside C# and .NET Core backends. LLMs, RAG, agents and extraction models, all production-grade and integrated with your existing systems.

  • Data Pipelines and Integration

    We connect CRMs, ERPs, document stores and legacy platforms using APIs and custom adapters. Data flows where it needs to, validated and structured, without forcing you onto a new platform.

  • UX and UI Design

    Our designers work alongside engineers from day one. Automation only delivers value if people trust and use it, so we design clear interfaces for approvals, dashboards and exception handling.

  • Cloud Infrastructure on Azure

    Every project we build runs on Microsoft Azure. We handle hosting, scaling and security so your automation stays reliable as workloads grow, with UK data residency baked in.

  • Integration Architecture

    We map your existing tech stack during discovery and design the connective layer. Middleware, webhooks, queue-based processing: whatever the pattern, we keep your current tools in play.

  • Ongoing Support and Iteration

    Automation needs tuning as your business changes. Our in-house team stays with your project after launch, monitoring performance and extending workflows as new needs surface.

Myth Digital team at work in the studio

Is AI automation right for you?

Not every workflow needs AI. Here's how to tell whether automation will deliver real value for your team right now.

A great fit

  • You have repetitive, high-volume tasks eating staff time
  • Your data already lives in digital systems (CRM, ERP, email)
  • You can define clear success metrics for a pilot
  • You're willing to start small and iterate from there
  • Your team will engage with testing and feedback

Not the right fit

  • Your processes rely entirely on paper or unstructured offline data
  • You want a magic button with zero team involvement
  • You need a full platform replacement rather than workflow automation
  • You're not ready to define what 'better' looks like

How do we measure AI automation success?

We track clear KPIs from day one so you can see exactly what automation delivers.

  • Time savings

    Significant Processing Time Reductions

    Document review, data entry, approval routing: these are the workflows where we typically see the biggest gains. We benchmark before and after every pilot so improvements are measurable.

  • Cost reduction

    Lower Operational Spend

    Fewer manual hours means FTE-equivalent savings and reduced error-correction overhead. Most clients reinvest that freed capacity into higher-value work rather than cutting headcount.

  • Accuracy

    Fewer Errors, Less Rework

    Humans under pressure miss things. Automated extraction and validation don't. We measure error rates before launch and track the reduction over time, giving you a clear before-and-after picture.

  • Payback period

    Rapid Payback on Pilot Projects

    We scope pilots to prove value quickly. Most clients see a return within months of going live, well ahead of broader rollout.

How much does AI automation cost?

Every automation project is different. These tiers give you a starting point for conversation, not a fixed quote. Final scope and pricing are confirmed after we understand your workflows.

  • Fixed price

    Discovery & Audit

    Typically a few thousand pounds

    We map your workflows, identify automation opportunities and rank them by impact. You get a clear, prioritised roadmap.

    • On-site or remote workflow audit
    • Opportunity scoring by ROI potential
    • System and data integration review
    • Prioritised automation roadmap document
  • Typically a few weeks

    Pilot Build

    Scoped to your workflow

    A single-workflow proof of concept with defined scope, built to validate time savings before wider rollout.

    • One targeted workflow automated end to end
    • Integration with your existing systems
    • Testing, validation and accuracy benchmarks
    • Measured results report with next-step recommendations
  • Phased, milestone-based

    Full Implementation

    Priced per phase

    Multi-workflow automation programme covering build, integration and ongoing support across your operations.

    • Multiple workflows scoped and automated
    • Cross-system integrations (CRM, ERP, document stores)
    • Hosted on Microsoft Azure with monitoring
    • Ongoing iteration and support as needs evolve

All tiers include milestone-based delivery from our in-house Belfast team.

FAQ

AI automation FAQs

Do I need to replace my existing software?

No. We build automation that connects to your current systems through APIs, webhooks or custom adapters. The goal is to extend what you have, not force a platform migration.

What is the difference between RPA and AI automation?

RPA follows fixed, rule-based scripts: it clicks buttons and copies data exactly as programmed. AI automation interprets unstructured inputs like documents or emails, makes decisions based on context and handles exceptions that would break a traditional RPA bot.

Can AI automation work with legacy systems?

Yes. We regularly connect to older platforms that lack modern APIs. Depending on the system, we use screen-level adapters, file-based integrations or database connectors to bridge the gap.

How do you ensure accuracy and reliability?

Every automation includes validation steps and confidence scoring. Low-confidence outputs get flagged for human review. We benchmark accuracy against your existing manual process during the pilot before scaling.

Is my data secure during AI automation?

We build and host on Microsoft Azure, which meets UK data protection requirements. Data stays within your agreed hosting region, encrypted in transit and at rest.

How long does implementation typically take?

It varies by scope. A focused pilot on a single workflow can be live in a matter of weeks. Broader rollouts will extend based on the wider requirement.

What happens if the automation encounters something unexpected?

We design fallback paths into every workflow. When an input falls outside trained parameters, the system routes it to a human reviewer and logs the exception. Those edge cases feed back into the model over time.

How do we measure whether the automation is working?

We agree KPIs during discovery: processing time, error rates, manual hours saved and throughput volume. These are tracked from the pilot's first day so you see results before deciding to scale.

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