Structure.Clarity.Transformation.
I help mid-sized businesses and C-level leaders translate complexity into operational clarity — with precision, momentum, and measurable results.
Fromcomplexprocessestooperationalreality—that'swhereIwork.
I'm Hung Mai — an independent consultant for Digital Operations & Transformation, based in Germany and working remotely with international B2B clients. I build the automation, AI agents, and no-code systems that take manual work off the table. The deliverable isn't a slide deck — it's a running system your team can own and trust to keep working.
DigitalOperations&Automation
Automated workflows that take manual, repetitive work off your team — from marketing ops to back-office, built to run unattended.
MarketingAutomation&AI
Lead journeys, campaign automation, and AI-driven personalization that turn scattered effort into a measurable pipeline.
CRM&ProjectManagement
CRM setup, tool integration, and operational structure — one source of truth, not five spreadsheets.
TransformationStrategy
Turning C-level vision into an operational roadmap you can actually execute. Structure first, tooling second — never the reverse.
AIAgents&Tooling
Custom AI agents and integrations that monitor, decide, and act — including self-healing systems that catch and fix their own failures.
InterimDigitalOperations
On-demand operational capacity. I step in, build the structure, and hand off a system that runs without me.
Self-HealingAutomationAgent
An agent that watches a 50+ scenario automation platform — auto-detecting failed runs, diagnosing the root cause, and applying the fix, with scheduled monitoring and instant alerts.
SHAutomationPlatformArchitecture
A 50+ scenario Make.com platform on a PUT-first, master-router design — integrating CRM, payments, scheduling, and project tools into one resilient operational backbone.
AX360°LeadershipAssessmentTool
A custom web assessment that replaced a licensed product — multi-rater 360° questionnaire, scored insights, and a clean reporting flow built from scratch.
LAAIGTMContentPipeline
An automated pipeline that researches, drafts, and schedules go-to-market content — AI generation paired with human review so everything stays on-brand and on-message.
GTMAIHyper-PersonalizationCampaign
A webinar campaign with GenAI-generated content and hyper-personalized targeting that redefined registration performance — marketing automation at enterprise scale.
AIGlobalPreferenceCenterArchitecture
Multi-brand, multilingual preference center with 52+ email groups, CRM sync, and a custom frontend — one consent system across every market.
PCDedicatedIPWarmingProgram
A multi-week ramp-up strategy with deliverability monitoring and sender-reputation management to protect inbox placement at scale.
IPAudit & Discovery
Understanding your current marketing and operations landscape.
Strategy & Architecture
Designing the target state — structure before tooling.
Build & Automate
Implementing systems, workflows, and integrations that run.
AI Enhancement
Adding intelligence exactly where it moves the outcome.
Measure & Optimize
Tracking results, then iterating toward the number.
Marketing Automation
Automation & Integration
Development
AI Tools
Collaboration
Field notes
Working notes on digital operations, automation, and the unglamorous structure that makes transformation actually run.
Build vs. buy for internal ops tools: a decision framework from the field
A recurring internal process, a modest per-use SaaS bill, and hours of manual glue work in between — the build decision came down to one question, not a feature comparison.
118 clicks, zero conversions: why attribution is the first automation step, not the last
A LinkedIn outreach funnel for a DACH leadership-development firm logged 118 clicks on a webinar page and not one attributable signup, because organic and outreach traffic shared a single UTM-tagged link.
Open-weight as cost architecture: when GLM-5.2 belongs in your stack — and when it doesn't
GLM-5.2 beats GPT-5.5 on coding benchmarks at a sixth of the cost, and the labs are building their own inference chips to push token prices down further. Neither fact tells you where to route a given task — a decision framework does.
