AI Adoption Consultant
I help teams and businesses build lasting AI capability — grounded in how they actually work. Starting from mindset, not tools. 9+ years of hands-on practice across digital transformation, business development, and marketing.
A framework that works with any tool — now and whatever comes next.
No FOMO. Clear judgment. No consultant needed in the room.
More of what matters. Less of what costs your best thinking.
01 My Approach for Training
Most AI adoption stalls because organizations buy tools before building understanding. Models improve. Platforms change. What lasts is a team that knows how to think with AI — how to break a problem down, evaluate outputs critically, and design workflows that stay useful even as the tooling evolves.
My approach starts with the mental model, not the software stack. When a team understands why a workflow is structured a certain way, they can adapt it, improve it, and apply the same logic to whatever tool comes next.
Workflow audit and friction mapping — understanding where time actually goes before any tool is introduced.
AI checkpoints, prompt structures, and handoff logic built around the team’s existing process — not a generic framework.
The team can run, improve, and teach the workflow without me. Independence is the exit condition for every engagement.
02 My Expertise
Domain 01 / Digital Transformation
Built the complete technology backbone — ERP, AI-integrated workflows, website systems — from scratch for a business with no prior digital infrastructure. Trained staff who had never used business software to become confident, data-driven decision-makers. Tested the shift from B2C to a tech-enabled B2B model with AI supporting both the process and the transition.
Domain 02 / Business Development
Practiced BD in software outsourcing and Atlassian solution sales — from cold hunting to account management to pre-sales technical scoping. This firsthand experience means I know exactly where BD teams lose hours: research, proposal drafting, meeting prep, follow-up documentation. These are precisely the areas where structured AI use creates measurable time savings.
Domain 03 / Marketing
Years of hands-on work in performance marketing, product marketing, and platform growth. This background is useful in two directions: applying AI to marketing workflows (content, analysis, positioning), and applying marketing thinking to AI adoption — understanding how teams actually receive and integrate new tools into their day-to-day work.
03 My Deliverables
Output 01
Specific AI-powered capabilities built into existing tools or workflows — not standalone demos, but functional additions to how the team already works.
Output 02
End-to-end process maps with AI checkpoints, handoffs, and quality controls — documented at a level of detail that lets any team member execute without supervision.
Output 03
Structured recommendations for where and how to deploy AI across a team or function — grounded in the actual constraints of the business, not a generic adoption roadmap.
Output 04
Lightweight scripts, automations, or integrations built for a specific operational need — designed to be maintained and extended by the team after handoff.
Output 05
Practical guides, SOPs, and prompt libraries calibrated to the team's actual work — not generic AI tutorials.
Output 06
Mental models and evaluation criteria that help teams make sound decisions about AI independently — so the value compounds long after the engagement ends.
04 My Experience
2025 — Present
Led end-to-end digital transformation for a 60-person traditional business: ERP deployment, AI workflow integration, staff training, and tech-enabled B2B transition. Designed and embedded AI tools directly into operational processes.
2023 — 2025
Hands-on BD across the full pipeline in software outsourcing and Atlassian solutions — hunting, account management, and pre-sales. Applied AI to proposal pipelines and research workflows to improve team output.
2021 — 2024
Managed user acquisition and DMP enablement on Vietnam’s primary messaging platform (75M+ MAU). Introduced AI tools for audience analysis, content production, and campaign reporting to increase team throughput.
2018 — 2021
Ran performance marketing across major digital platforms. Reduced acquisition costs by 30% and generated 2,000+ qualified leads. Managed cross-functional teams spanning media analytics, creative production, and campaign reporting.