Schedule a Systems Audit

Mirlo Systems is the engineering firm behind production AI systems and workflow automation for mid-market companies in the UK, Europe, and the Middle East.

Specialist AI Partner · About Us

We don't just build AI. We make it stick.

Mirlo Systems is a specialist AI partner for mid-market operators. We develop and integrate AI systems and automations that survive first contact with real operations - not just prototypes that look impressive in a controlled test and fall apart under real operational load.

Get a free assessment

Specialist AI Partner · Origin

Why Mirlo Systems Exists.

The Operator Ethos

  • ✦
    Zero Vendor Theatre: We measure success by 12-month production uptime - not signed contracts or polished slideshows.
  • ✦
    Built for Operators: Designed specifically for teams running real businesses with existing CRMs, telephony, and stacks.
  • ✦
    100% System Ownership: You own every line of code, prompt, and workflow we build. Zero vendor lock-in from day one.

The AI boom produced a lot of impressive pitches. It produced far fewer systems that actually run Monday to Friday.

Most AI vendors are built to sell. Their success metric is a signed contract. Mirlo Systems exists because operators - the people running real businesses - needed a partner whose success metric is the same as theirs: a system that works in production, twelve months from now.

The gap we keep seeing: a business buys an AI tool or engages a large agency, the pitch looks great, and then integration stalls. The system doesn't fit the existing stack. The internal team doesn't know how to run it. The vendor has moved on to the next sale.

We built Mirlo Systems to close that gap. Mid-market operators worldwide have real AI problems and real budgets - but most of the specialist AI work has gone to enterprise or startup scale. We're here for the tier in between.

A pitch working and a system working are two entirely different problems. We only care about the second one.

- Mirlo Systems Engineering Team
6-PhaseDelivery Model
100%Staging-Tested Before Launch
100% OwnershipFull Code & Access Handover

How We're Different

Three things we do differently.

Most AI vendors and agencies scope a project, hand it off, and bill you again when it fails. As a partner, these are the commitments that separate how we work.

  • Built for operators

    We work with teams running real businesses - not labs or research teams. Every system we ship has to survive day-to-day operations. If it breaks on a Tuesday morning, that's on us.

  • Accountable to outcomes

    We measure success by production uptime and business outcomes - not a polished first impression that fades after handover. We don't run proof-of-concepts just to sell the next phase.

  • Stays in your stack

    Our builds sit alongside the tools your team already uses. No ripping out your CRM, no forcing a platform migration. AI fits into what already works - or we tell you it won't.

Who we partner with

Industrieswe serve

AI systems and automations for businesses that need tools that fit real workflows - from field service to financial services.

Explore industries
  1. Home Services - Missed calls and slow follow-up cost bookings when peak season hits HVAC, cleaning, and trades teams.
  2. Real Estate - Listing inquiries and leasing follow-ups stall overnight - leads cool before a human picks up.
  3. Healthcare Operations - Admin load on booking, intake, and records lookup keeps clinic teams buried in the inbox.
  4. Logistics & Transport - Dispatch, status updates, and exception handling break down when volume spikes across fleet operations.
  5. E-commerce & Retail - Order questions, returns, and inventory issues pile up faster than a lean support team can answer them.
  6. Hospitality & Travel - Booking questions and guest requests come in around the clock, but front desk and reservations teams do not.
  7. Professional Services - Client intake, document requests, and status updates eat into billable hours that should go toward client work.
  8. Mid-Market Operations - Mirlo Systems builds AI systems and workflow automation for mid-market companies that need enterprise capability without enterprise timelines or cost.
  9. Tech & SaaS - Support tickets, onboarding questions, and internal tooling gaps slow teams down as the product scales.
  10. Financial Services - Support volume, application follow-up, and reporting all carry compliance weight most AI vendors do not understand.
  11. Mid-Market Enterprise - Growing operations create scattered manual processes across departments that no single tool covers end-to-end.

How we deliver

Fromdiscovery to production

Mirlo Systems uses a disciplined six-phase delivery model so AI systems and automations reach production with measurable quality at every stage.

Get a free assessment
00-1

Discovery & Diagnosis

00-2

Design & Architecture

00-3

Build

00-4

Testing & Validation

00-5

Integration & Go-Live

00-6

Support & Optimization

  1. Discovery & Diagnosis: A written Discovery Report - current state, proposed solution, scope boundaries, timeline, and cost. Client sign-off required before any build starts. Stakeholder interviews - current process, pain points, and existing stack Process mapping - document the workflow as it exists today Data and systems audit - CRM, telephony, APIs, and databases involved Opportunity identification - where AI adds real value, and where it does not Feasibility and risk assessment - privacy, integration, and technical constraints
  2. Design & Architecture: Architecture document and success criteria, reviewed and approved before development starts. Technical architecture - systems, data flow, and agent logic defined UX and conversation design for voice or chat - scripts, decision trees, escalation paths Security and data-handling plan - storage, access, and retention Success metrics defined upfront - a measurable definition of "working"
  3. Build: A working system in a staging environment, accessible to the client for review. Development in a staging environment - never directly in live client systems Iterative build with internal QA at each milestone Regular client check-ins - weekly, not radio silence Documentation written as we build, not reconstructed afterward
  4. Testing & Validation: A test report showing results measured against agreed success criteria. Structured QA against the success metrics set during design Edge-case testing - failures, downtime, missing data Client user acceptance testing before go-live Security review confirming data handling matches the agreed plan
  5. Integration & Go-Live: System live, documentation handed over, admin access transferred, and a full team walkthrough completed. Phased cutover into the live environment - no hard switch on customer-facing flows Real-time monitoring during the first days live Fallback and rollback plan in place before go-live
  6. Support & Optimization: A monthly report plus ongoing access to a real person accountable for the system. A defined support tier with explicit response-time commitments Monthly performance review - volume, improvements, adjustments Iterative tuning as real usage reveals new edge cases A named point of contact - not a generic support inbox