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Engineering Methodology · Disciplined Delivery

How Mirlo Systems builds & delivers. Zero downtime.

From initial 15-minute operational scoping call to production cutover and 24/7 retained support, here is our 6-stage engineering roadmap.

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Delivery Roadmap

Our 6-stage engineering process

From initial security audit to live production cutover, every step is executed with precision and zero operational downtime.

Phase 01 · Scoping & Audit01

Discovery & Diagnosis

The step most cheap vendors skip. Disciplined discovery maps exact constraints before writing a single line of code.

Key Engineering Actions:
  • Stakeholder interviews to map current human workflows & pain points
  • Data & systems audit across CRM, telephony, APIs, and databases
  • Opportunity identification - where AI adds ROI vs. where it does not
  • Feasibility, risk, and privacy constraint assessment
Phase Deliverable:

Written Discovery Report with scope boundaries, timeline, cost, and agreed success metrics.

Phase 02 · System Design02

Design & Architecture

Designing technical pipelines, agent prompts, conversation trees, and security protocols.

Key Engineering Actions:
  • Technical architecture - systems, data flow, and agent logic defined
  • UX and conversation design for voice or chat - scripts, trees, escalation
  • Security and data-handling plan - storage, access, encryption
  • Success metrics defined upfront - measurable definition of "done"
Phase Deliverable:

Signed Architecture Specification Document & success benchmark criteria.

Phase 03 · Isolated Staging Build03

Staging Build & Development

Development happens in an isolated staging environment - never directly in live production client systems.

Key Engineering Actions:
  • Iterative development in isolated staging environments
  • Internal QA checks at every engineering milestone
  • Weekly client check-ins and progress walkthroughs
  • Living documentation written as we build
Phase Deliverable:

Working production-ready candidate in staging accessible to the client team.

Phase 04 · Rigorous QA04

Testing & Validation

Testing edge cases, high concurrency, noise tolerance, and fallback safety rules before go-live.

Key Engineering Actions:
  • Structured QA testing against agreed design metrics
  • Edge-case testing - API downtime, missing data, noise handling
  • Client user acceptance testing (UAT) before go-live
  • Security audit - verification of zero data retention & encryption
Phase Deliverable:

Test Verification Report showing pass rates against agreed benchmarks.

Phase 05 · Cutover & Deployment05

Integration & Go-Live

Phased cutover into live PBX, CRM, and production APIs with zero operational downtime.

Key Engineering Actions:
  • Phased cutover into live environment - no abrupt hard switches
  • Real-time latency and conversation monitoring during initial hours
  • Automated fallback and instant rollback plan in place
  • Complete admin access transfer & team onboarding walkthrough
Phase Deliverable:

Live system deployed, documentation transferred, and admin onboarding complete.

Phase 06 · Retained Partnership06

Support & Optimization

Sub-4 hour response commitments with continuous prompt tuning as real usage reveals new edge cases.

Key Engineering Actions:
  • Sub-4 hour SLA support tier with named engineering contact
  • Monthly performance reviews - volume, accuracy, improvements
  • Iterative prompt & model tuning based on real user interactions
  • Ongoing infrastructure upkeep and API dependency updates
Phase Deliverable:

Monthly performance report + direct access to dedicated accountable engineer.

Engineering Principles

Core principles behind every system we ship

We don’t sell unvetted prototypes. We engineer resilient enterprise systems built on four non-negotiable guarantees.

Safety Principle01

Isolated Staging Build Only

We never develop, test, or mutate code directly on live production systems. Every build runs in an isolated staging environment until client UAT sign-off.

Privacy Guarantee02

Zero Public LLM Training Retention

Your customer call logs, transcripts, and internal database records are never exposed or used to train public LLM models. All endpoints enforce strict data privacy boundaries.

Bi-Directional Stack Sync03

Native Infrastructure Integration

Our AI voice agents and automations connect directly into your existing PBX, Twilio, ServiceTitan, Salesforce, and custom REST APIs without breaking existing workflows.

Commercial Clarity04

Transparent Fixed-Scope Milestones

No surprise hourly overages or vague milestone billing. You get clear scope boundaries, agreed deliverables, and explicit definitions of "working" before work starts.

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

Process & Delivery Common Questions

Common Questions

Disciplined discovery is what separates high-reliability enterprise systems from cheap vendors. Mapping integrations, data privacy constraints, and success metrics upfront prevents costly rewrites later.

Why does Mirlo Systems charge for the Discovery & Diagnosis phase?
Disciplined discovery is what separates high-reliability enterprise systems from cheap vendors. Mapping integrations, data privacy constraints, and success metrics upfront prevents costly rewrites later.
How do you ensure zero operational downtime during go-live?
All development occurs in isolated staging environments. We implement phased cutover strategies with automated real-time telemetry and instant rollback triggers in place.
What is included in the monthly Support & Optimization tier?
You get a sub-4 hour response commitment with a named engineering contact, monthly accuracy reviews, continuous prompt tuning, and ongoing API maintenance.
Can we build a proof-of-concept before committing to full production?
Yes. Our Discovery and Staging phases deliver accessible candidate prototypes so your team can evaluate live latency and accuracy before final cutover.