AI Integration Services for Your Software

Myth Digital is an AI integration company in Belfast and London. Our senior in-house UK team adds AI to the software you already run, no rip-and-replace, connecting models to your CRMs, ERPs, booking, finance and custom platforms through secure, auditable integrations, starting with the highest-value features.

  • In-house UK team
  • No platform replacement
  • Milestone-based delivery
Since 2015 Building production software
2 offices In-house UK offices
100% Built in-house, never outsourced
Myth Digital team at work in the studio

We connect AI models to your CRMs, ERPs, finance tools and custom platforms so your team gets new capabilities without switching systems or migrating data.

Our engineers connect models via APIs, webhooks and middleware. Your team keeps the tools they know while AI works behind the scenes. Because we often build and maintain the underlying business software, we already understand your data models, permissions and edge cases. That cuts onboarding time and reduces risk.

The result is fewer manual steps, faster decisions and better accuracy across your workflows. We manage the integration layer and monitor it in production, so nothing breaks when a model updates. If you're weighing up where to start, our AI feasibility consultancy maps your systems and recommends the highest-value integration first.

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

Which systems does AI integrate with?

We connect AI to the platforms you already run. Here are four places it pays off.

  • CRMs

    Smarter Leads, Fewer Missed Deals

    Your sales team shouldn't waste hours on leads that won't convert. We score inbound enquiries and auto-summarise every interaction so reps focus on the opportunities with real momentum.

  • ERPs & Operations

    Forecast Demand, Spot Anomalies Early

    Supply-chain irregularities cost time and money when they're caught late. Our integrations flag anomalies and forecast stock needs before shortfalls hit, giving operations teams room to act.

  • Booking & Scheduling

    Fill Gaps, Reduce No-Shows

    What if your calendar could heal itself? We predict cancellations and reallocate slots automatically, keeping schedules full and cutting the admin time spent chasing.

Phone on a block showing an AI assistant

Where should you integrate AI first?

We score every candidate AI integration on four factors. That gives you a ranked shortlist, so the highest-value, lowest-risk option goes first. No guesswork, no wasted budget. Start with a feasibility audit.

  • Business impact potential
  • Data readiness and quality
  • Risk and compliance exposure
  • Implementation effort required

How we integrate AI

Here's what happens when we wire AI into your platforms, from data flow to user permissions.

API and webhook connections
Compliance dashboard with stats and a UK map

API and webhook connections

Secure endpoints pipe data between your systems and AI.

  • Custom API adapters built per platform
  • Event-driven webhook listeners that trigger on changes
  • Auditable, structured request logging for every call
Middleware and orchestration
Office meeting room with smart-workspace app overlay

Middleware and orchestration

A coordination layer manages complex multi-system flows.

  • Queue-based message routing between services
  • Error handling with automatic retry logic
  • A single point of monitoring for the whole chain
Accuracy monitoring and drift
Aerial of London at dusk with the Thames

Accuracy monitoring and drift

We track model performance so outputs stay reliable.

  • Confidence scoring applied to every output
  • Automated alerts when drift crosses a threshold
  • Low-confidence results flagged for human review
Permissions and access control
Phone in jeans pocket showing a compliance app home screen

Permissions and access control

AI features respect your existing user roles.

  • Role-based gating controls who sees what
  • Audit trails log every user action
  • Access aligns with your current identity setup
Batch vs real-time inference
Team member presenting a system diagram on a whiteboard to colleagues

Batch vs real-time inference

We match the processing pattern to your use case.

  • Real-time inference powers interactive features
  • Batch runs handle bulk processing overnight or on schedule
  • Hybrid patterns combine both where the use case calls for it
Myth Digital team at work in the studio

How we keep your data secure

Every integration we build follows a security-first approach. Your customers' data stays protected, and your compliance posture gets stronger with AI in the mix, not weaker.

  • GDPR-compliant processing by design
  • Anonymisation before any model access
  • Full auditable request and decision logs
  • UK data residency on Azure when required
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

Why choose Myth as your AI integration partner?

How does an AI integration project work?

Every project follows the same five phases, from first audit through to ongoing support.

  1. Systems audit

    We map your stack, data flows and integration points. The goal is to pinpoint where AI adds value and where risks sit. This typically takes a few days.

  2. Prioritisation and roadmap

    We score candidates by impact and complexity, then recommend a starting point. You get a clear, fixed-fee proposal to sign off before any build begins.

  3. Prototype

    Our team builds the integration in a sandboxed environment and validates accuracy against your real data. Most prototypes are working within a few weeks.

  4. Production rollout

    We deploy with feature flags and rollback capability so your live operations aren't disrupted. Pilot periods typically run four to twelve weeks, with production completing over the following months.

Recent integration projects

Our track record

Building production software since 2015, now with AI

300+
Projects delivered
2 offices
In-house team, two offices
Since 2015
The year Myth was founded
  • Founded in Belfast, 2015

    From day one, the people you meet are the people who build your product. No offshoring, no subcontracting.

  • London office opened

    We added a Shoreditch base for in-person discovery sessions and closer collaboration with clients across England and Europe.

  • AI integrations shipped to production

    We've delivered AI features into live platforms with monitoring and support baked in. Real systems, not demos or proofs of concept.

Myth Digital team at work in the studio

Is AI integration right for you?

We find AI integration works best when there's a live system to build on. Here's how to tell if you're ready.

A great fit

  • You have existing software with real users
  • You have data flowing through your systems already
  • You want to enhance your platform, not replace it
  • You need UK-based support and compliance

Not the right fit

  • You don't have a live system yet
  • You want a standalone AI product built from scratch rather than AI added to a system you run
  • You need a one-off chatbot with no connection to your systems
  • You're looking for a generic off-the-shelf plugin

How much does AI integration cost?

Every integration begins differently. We'll help you choose the right starting point for where you are now.

  • 2–4 weeks

    Viability & POC

    from £10,000

    We map your systems, score each integration opportunity by value and risk, and hand you a prioritised roadmap with a fixed-fee proposal for the first build.

    • Systems and data-flow mapping
    • Prioritisation matrix
    • Written roadmap document
    • Fixed-fee proposal for next phase
  • 8–12 weeks

    Production Build

    from £25,000

    We build, test and deploy one high-value AI integration into your live environment, with monitoring in place from day one.

    • One production integration
    • API or middleware build
    • Testing and validation
    • Deployment with monitoring
    • Handover documentation
  • Rolling

    Ongoing Partnership

    from £2,000/mo

    Keep live integrations reliable and extend them over time. We watch accuracy and drift, handle model and API changes, and add new integrations as priorities shift.

    • Accuracy and drift monitoring
    • Model and API updates handled for you
    • New integrations from your roadmap
    • Monthly performance report

All tiers begin with a discovery call. We'll recommend the right starting point after understanding your systems.

Myth Digital team at work in the studio

Timelines That Won't Disrupt Operations

Most AI integrations follow a clear arc. Audit typically takes one to two weeks. A working pilot usually lands within four to twelve weeks, and full production follows a few months beyond that. Your team keeps working normally throughout. We use feature flags and rollback capability so your live system is never at risk during deployment. Get a realistic timeline with our AI feasibility audit.

  • Audit in one to two weeks
  • Pilot live in four to twelve weeks
  • Rollback capability protects live systems
  • Your team works normally throughout
100% In-house support from our team
Global Clients range from start-ups to global
300+ Projects delivered in 10+ years
Since 2015 The year Myth was founded
FAQ

AI integration FAQs

Can you add AI to the software we already use?

Yes. We connect AI models to your existing platforms through secure connections, working with your current data and permissions, so there is no need to migrate or rebuild what you already have. Your team keeps the tools they know while AI works behind the scenes.

Which of our systems can AI integrate with?

CRMs, ERPs, booking and scheduling tools, finance systems, document stores and custom platforms, whether they are off-the-shelf products or software built for you. If a system has an interface we can connect to, AI can work with it.

What should we integrate AI into first?

We score every candidate on business impact, data readiness, risk and effort, then recommend the highest-value, lowest-risk starting point. It is usually a task your team does often, where the data already exists and a mistake is easy to catch.

How do you keep our data secure when integrating AI?

Data is processed under UK GDPR with anonymisation where personal data is involved, access limited to what each integration needs, and full logs of every request and decision. Hosting can stay in UK or EU regions on Microsoft Azure.

How much do AI integration services cost?

Every integration starts with a short systems audit and a prioritised roadmap, then a fixed-fee proposal for the first build. The pricing tiers on this page give the starting points, and you know the cost before any work on your live system begins.

How long does an AI integration take?

A systems audit takes one to two weeks. A first working integration usually lands within four to twelve weeks, and further capabilities follow in phases from there. Your team keeps working normally throughout.

Will AI integration disrupt our existing operations?

No. We build alongside your live system, release behind feature flags and keep the ability to roll back, so nothing changes for your users until you say so. Each integration is tested against your real data before it goes live.

We write about AI

Ready to start?

Book your AI integration audit