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Mirlo Systems designs, builds, and operates custom AI systems and workflow automation for mid-market and enterprise operators. Mirlo Systems delivers AI voice agents, customer support automation, and workflow systems built to run in real production environments, not in isolated pilots. Every project follows a six-phase delivery model with signed-off deliverables at each stage.

EnterpriseDone Right

Our delivery model

Three clear stages. Six signed-off phases.

  1. 01
    Diagnose & DesignDiscovery + Architecture

    We map your process, find where AI creates the most leverage, and design the full system architecture before writing a single line of code.

  2. 02
    Build & ValidateBuild + Testing

    We build in a staging environment, test against agreed success metrics, and get formal sign-off from your team before go-live.

  3. 03
    Launch & SupportGo-Live + Optimization

    We launch with monitoring and rollback in place, hand over full access and documentation, then remain your point of contact for ongoing support.

Systems thinking01

Data access, storage, and retention are agreed before build starts.

02 / Capabilities

Eight services. One accountable delivery team.

  • AI Voice Agents
  • Workflow Automation
  • AI Customer Support
  • AI Sales & Marketing
  • AI Reporting & Analytics
  • Internal Knowledge AI
  • Custom AI Development
  • AI Strategy & Advisory

03 / Start with the outcome

Automate the busywork. Build the AI systems that actually move your business forward.

Mirlo Systems designs, builds, and operates custom AI systems and workflow automation across all 8 services for mid-market and enterprise operators worldwide.

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A focused conversation with our team to assess fit and outline a path forward - no obligation, no pressure.

Built on the same infra powering production voice, RAG, and workflow systems

  • Claude
  • Gemini
  • Supabase
  • n8n
  • Twilio

We build AI that works in production - not just in pitches.

Mirlo Systems is a specialist AI partner for mid-market operators worldwide.

  • 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.

  • Accountable to outcomes

    We measure success by uptime, adoption, and business outcomes - not a polished first impression that doesn't survive handover.

  • Stays in your stack

    Our builds integrate with the tools you already run. No forced platform switch - AI fits into your existing systems.

  • GlobalOperates worldwideRemote-first · every region
  • 8Core servicesVoice · Automation · Support · Sales AI · Reporting Knowledge AI · Custom AI · Strategy
  • 2026Founded
How we partner

How we can help

Services we ship

Production AI systems and automations for mid-market businesses - voice, workflows, support, and custom builds that hold up after launch.

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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.

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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

Why Act Now

Build your AIadvantage now

Operators who embed production AI into their stack today widen their competitive gap every quarter.

  • Integration Risk
    75%of AI pilots never reach production

    Capability isn't the problem

    Most AI tools work fine in a controlled test. They fail once they meet your actual edge cases, legacy software, and daily operational load.

  • Market Velocity
    3xfaster operational throughput for early adopters

    Compounding operational gap

    Competitors who integrate AI into core workflows today aren't just saving hours - they build a compounding cost and speed advantage every quarter.

  • Zero Disruption
    100%focus on existing stack integration

    The blocker is execution, not tech

    You don't need another AI model. You need disciplined integration that hooks into your CRM, telephony, and databases without breaking operations.

The blocker isn’t technology - it’s knowing where to start without disrupting daily operations.

Find your starting point

Find your starting point

Wherever you are with AI, we meet you there

Select your current stage of AI adoption to see how Mirlo Systems helps you move forward with clarity and measurable ROI.

  • Stage 01

    "We haven't started with AI yet"

    Not sure where AI actually fits in your operation. We run a focused audit, show you exactly where it pays off, and build a prioritized roadmap - before you spend on anything.

    AI Strategy & AdvisoryAuditRoadmap
    Explore Advisory & Audit
  • Stage 02

    "We tried AI and it didn't stick"

    A chatbot or off-the-shelf tool didn't hold up in real operations. We rebuild it properly - integrated with your actual systems and tested against real workload, not a controlled test.

    Custom AI DevelopmentIntegrationRebuild
    Explore Custom AI Build
  • Stage 03

    "AI is working, we want more of it"

    One system is proving out. Now scale it - more coverage, more automation, better reporting - without breaking what's already working.

    Workflow AutomationAI Reporting & AnalyticsScale
    Explore Scaling & Automation

Straight answers

Common questions

Mirlo Systems designs, builds, and operates production AI systems - including AI voice agents, workflow automation, AI customer support, and custom AI development - for mid-market operators.

What does Mirlo Systems do?
Mirlo Systems designs, builds, and operates production AI systems - including AI voice agents, workflow automation, AI customer support, and custom AI development - for mid-market operators.
Who is Mirlo Systems for?
We work with established mid-market and enterprise businesses across home services, real estate, healthcare operations, logistics, e-commerce, hospitality, professional services, tech, and financial services worldwide.
How much does a project cost?
Pricing is value-based and tied to the ROI a system delivers, not a fixed rate card. Most engagements are scoped after a discovery phase that defines cost and timeline upfront, before any build starts.
How long does it take to launch a system?
Timelines depend on scope, but most engagements move from discovery to go-live within 6 to 12 weeks, following our six-phase delivery model.
Does Mirlo Systems replace our existing tools?
No. Every system we build is designed to integrate with your existing CRM, telephony, and databases - not replace them.
What happens after launch?
Every engagement includes a defined support tier with a named point of contact, monthly performance reviews, and ongoing optimization as real usage reveals new edge cases.