Lianyong Liu Technology Consulting

Practical technology guidance for businesses that would rather build than guess.

Lianyong Liu is an independent technology consultancy helping startups and growing companies make sound decisions about software, cloud, data, and AI — and then get the work done.

As a sole proprietorship, you work directly with the consultant from the first call to final delivery: no account managers, no hand-offs, no agency overhead.

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Practice areas, from strategy to security
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Steps in every engagement — no surprises
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Engagement models to fit the question
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Business day — typical reply to an inquiry
A consulting session: colleagues reviewing work together on laptops in a modern office
Advisory work is collaborative — your team stays in the room for every decision.
Areas of practice IT Strategy Cloud & Infrastructure Software Advisory Data & AI Security & Risk
Services

What I can help with

Engagements are scoped around outcomes, not hours sold. Each service below can stand alone or combine into a longer advisory relationship.

IT Strategy & Roadmapping

A clear-eyed look at where your technology stands today, where the business needs it to go, and the sequence of steps that gets there without wasted spend. You end up with a plan you can defend to partners, investors, and your own team.

What you receive

  • Technology audit & capability assessment
  • 12–24 month roadmap tied to business goals
  • Build-vs-buy analysis with costed options
  • Budget plan your finance side can work with
Typical timeline2–4 weeks
Works asProject or retainer
Best forAnnual planning, growth inflection points
Why a sole practitioner

One consultant, fully accountable

Lianyong Liu operates as a sole proprietorship. That structure is a deliberate choice — it shapes how the work feels from your side of the table.

Direct access

The person you meet on the first call is the person who does the analysis, writes the recommendations, and answers for the results. Nothing is delegated down a chain.

No sales agenda

Advice is not tied to reselling software, hardware, or a bench of billable staff. Recommendations stand or fall on whether they fit your situation and budget.

Lean by design

Without agency overhead — offices, layers of management, utilization targets — fees stay proportionate to the work itself, and timelines stay short.

Approach

How an engagement runs

A simple, transparent process. You always know what stage we are in, what it will produce, and what it will cost before we move on.

Step 1

Discover

A conversation about your business, your goals, and the problem as you see it. No obligation, no pitch deck.

You get: a short written summary of the discussion
Timing: one call, ~45 minutes

Step 2

Assess

A focused review of your current systems, tools, and constraints — documented in plain language you can share internally.

You get: findings document with priorities ranked
Timing: typically 1–2 weeks

Step 3

Plan

A written proposal: options, trade-offs, recommended path, timeline, and a fixed scope of work with clear deliverables.

You get: proposal with fixed scope & fee
Timing: within days of the assessment

Step 4

Deliver & support

Implementation guidance or hands-on delivery, followed by a handover your team can actually maintain.

You get: deliverables plus a maintainable handover
Timing: per the agreed plan

Engagement models

Three ways to work together

Advisory sessions

For a specific question

A focused consultation on one decision — a platform choice, an architecture question, a vendor quote that needs a second opinion.

  • One decision, examined properly
  • Written follow-up with a recommendation
  • No commitment beyond the session

Project engagements

For a defined outcome

A scoped piece of work with agreed deliverables and a fixed fee: an audit, a migration plan, a systems selection, a security review.

  • Fixed scope and fee agreed in writing
  • Named deliverables, not hours
  • Handover your team can maintain

Ongoing retainer

For continuing guidance

A standing advisory relationship — fractional CTO support with regular check-ins and priority access as questions come up.

  • Regular check-ins on a set cadence
  • Priority access between sessions
  • Roadmap ownership, vendor vetting

Every engagement starts with a free introductory call. Scope and fees are quoted in writing before any work begins — no open-ended hourly surprises.

A consultant reviewing a data dashboard on a laptop together with a client
Recommendations are reviewed with you, in the open — numbers included.
About

Lianyong Liu

Lianyong Liu is an independent technology consultant and the owner of this sole proprietorship. The practice exists for one reason: growing businesses regularly face technology decisions with long-term consequences, and they deserve advice from someone with no product to sell them.

The work is deliberately generalist at the strategy level and specific at the point of decision — spanning IT strategy, cloud platforms, software selection, data and AI adoption, and security fundamentals. When a problem needs a specialist implementer, the role shifts to helping you choose one and holding the work to the plan.

Engagements are remote-first and conducted in English, with clients across time zones. Every project is contracted, delivered, and supported personally — that is the whole firm.

— Lianyong Liu
Self-assessment

Is your technology working for you?

Five questions, about two minutes. You will get an honest read on where you stand and which service — if any — fits. Nothing is stored or sent anywhere; the result exists only on this page.

Question 1 of 5
Insights

Notes from the practice

Short, practical pieces on the decisions small and growing companies face most often. No trend-chasing — just the questions worth asking before you spend.

Software decisions · 4 min read

Five questions to ask before you sign a software contract

The demo went well and the price looks fair. Before you sign, these five questions separate a good tool from an expensive habit.

Cloud costs · 3 min read

Cloud costs creep quietly: the 30-minute monthly review

Cloud bills rarely spike — they accumulate. A short monthly ritual catches the waste while it is still small money.

AI adoption · 4 min read

AI tools in a small business: pilot small, measure honestly

AI tools earn their keep in narrow, boring places first. Here is how to run a pilot that tells you the truth.

AI Briefing

The AI developments I would flag to a client

Part of the Insights series: a consultant's filter on the AI news, updated regularly, newest first. I read the firehose so clients don't have to — each item below is one I would raise in a client conversation, with the one line that actually matters: what it means for your business.

Oct 18, 2026Fortune

White House Keeps Its AI Model Vetting Framework Secret

Fortune reports the White House has no plans to publicly release the draft framework it is developing for vetting frontier AI models before release. Executives from Meta, Nvidia, Microsoft, OpenAI and Anthropic traveled to Washington to review the current draft; participation would be voluntary, with the details known only to a select group of participating companies. The administration's June 2 executive order required the framework by August 1, giving labs "up to 30 days" to submit models before public release.

What this means for your business: If your product roadmap depends on cutting-edge models, release timing may soon depend on an opaque government review you cannot see or appeal — build buffer time into launch plans and diversify across model providers.

Oct 18, 2026OpenAI · Anthropic

OpenAI Limits New GPT-5.6 Sol Release to Trump-Approved Users

OpenAI said it will restrict the release of its new AI model, GPT-5.6 Sol, to customers approved by the Trump administration following a cybersecurity vetting process. Hours later, Anthropic announced the administration had approved a limited release of its strongest cybersecurity model, Mythos 5, two weeks after the Commerce Department effectively banned it. Both models will reach only small groups of trusted partners, with OpenAI calling the process a temporary step on the "path to broader availability in the coming weeks."

What this means for your business: Government approval is becoming a real supply-chain variable for frontier AI — vet your vendors' regulatory standing the way you vet their uptime, and keep a fallback model in your architecture.

Oct 18, 2026Morgan Stanley

Only 8% of Fund Managers Report Better Returns From AI, Morgan Stanley–Oliver Wyman Finds

Despite broad AI adoption in asset management — 55% of firms have integrated AI into at least one part of the investment process — only 8% report measurable improvements in investment returns, according to the September 2026 BluePaper citing the Mercer 2026 AI in Asset Management Survey. The gains firms do report cluster around operational efficiency (69%) and research quality (55%), while use in actual portfolio construction (13%) and trade execution (7%) remains rare.

What this means for your business: Treat AI as an efficiency investment first and a revenue bet second — fund the use cases with measurable cost or time savings, and demand hard ROI evidence before paying a premium for "AI alpha."

Oct 18, 2026IMF

IMF Warns an AI Investment Slowdown Could Shave 0.4% Off Global GDP by 2028

At this week's IMF–World Bank Annual Meetings in Bangkok, the IMF reported that AI spending on data centers and microchips has cushioned the global economy against rising energy prices — the IMF's chief economist estimates global trade grew 8.3% in 2023–2025 versus 4.6% without AI-related products. But Fed Chair Kevin Warsh and IMF chief Kristalina Georgieva both warned the path is "bumpy," with the IMF projecting that a decline in AI investment could reduce global GDP by 0.4% by 2028.

What this means for your business: Your growth assumptions are now implicitly tied to the AI capex cycle — stress-test budgets against an AI-spending slowdown, and watch data-center and chip investment as a leading indicator.

Oct 18, 2026IMF

IMF: AI Is Reshaping Labor Demand Across Asia, New Integration Roles Emerging

The IMF's October 2026 Regional Economic Outlook for Asia and the Pacific, drawing on roughly 40 million job postings across 19 economies, finds employer demand has fallen nearly 10% in occupations most exposed to AI since ChatGPT's launch in November 2022. The decline has stabilized, and new demand is emerging for skills like prompt engineering, retrieval-augmented generation and AI agent development; firms that adopt AI are hiring faster than those that don't.

What this means for your business: Reskill toward AI integration rather than AI replacement — the talent premium is shifting to people who can wire AI into real workflows, so prioritize that capability in hiring and training plans.

Oct 17, 2026White House

White House Drafts Pre-Release Review Framework for Frontier AI Models

The White House has drafted a framework requiring frontier AI labs to submit powerful models for government review up to 30 days before public release. OpenAI, Anthropic, Microsoft, Meta, and Nvidia reviewed the draft in Washington, but officials say the framework itself will not be published. Participation is voluntary for now.

What this means for your business: Regulatory review is moving upstream to the model layer — enterprise AI roadmaps should assume slower, less predictable release cycles for frontier capabilities. Build procurement and compliance plans around the possibility that your next model upgrade arrives weeks late, or arrives with government-imposed conditions.

Oct 17, 2026Meta

Meta Updates Business Terms to Train AI on Your Business Data

Meta has revised the terms for its business tools — including advertising and Facebook Pages — to allow AI training on content created through them, effective October 30, 2026. Businesses that keep using Meta's tools after that date are deemed to accept the new terms.

What this means for your business: If your company runs ads or manages a Facebook Page, your creative assets, copy, and audience data may become training fodder. Review what you upload to Meta's platforms, and treat this as a prompt to formalize your own AI data policy before someone else forces the conversation.

Oct 17, 2026DeepSeek

DeepSeek Refreshes V4.1 Flash With Open Weights, Pressuring Model Prices

DeepSeek released an updated V4.1 Flash with open weights, continuing its strategy of pairing near-frontier performance with aggressive pricing. Open weights let enterprises self-host and fine-tune the model without per-token API fees.

What this means for your business: The floor for AI inference costs keeps dropping. If your workloads run on expensive proprietary APIs, benchmark them against open-weight alternatives quarterly — the cost gap is widening fast enough to reshape the unit economics of your AI features.

Oct 17, 2026Replit

Replit Switches Default Agent Model From Anthropic to OpenAI on Cost

Replit CEO Amjad Masad said OpenAI's models have replaced Anthropic's as the default for Replit Agent, citing cost as the deciding factor. For agentic coding workloads, pricing — not just benchmark scores — now determines which model wins enterprise defaults.

What this means for your business: Vendor selection for AI tooling is becoming a procurement exercise, not a research project. Negotiate multi-model flexibility into your contracts; the cheapest capable model changes every few months, and lock-in is now the biggest risk in your AI stack.

Oct 16, 2026Google · Meta

The Frontier AI Race Reopens: Google and Meta Claim Parity With OpenAI and Anthropic

Google made its Gemini 4 Argon model generally available via API, targeting complex coding, finance, legal, and scientific work — launched at roughly one-fifth the price of OpenAI's GPT-6 Astra and Anthropic's Claude Fable 5. Meta unveiled a new frontier model it claims matches the leaders. Independent validation is still pending, but the two-horse race is over.

What this means for your business: Four serious frontier vendors means real price competition for the first time in the AI era. Use this leverage: pilot the same workload across two or three providers, compare total cost per task, and stop assuming your incumbent model is still the best deal.

FAQ

Common questions

You contract directly with Lianyong Liu as an individual practitioner rather than with a corporation or agency. Practically, it means one point of contact, one person accountable for the work, and lower overhead reflected in the fees. Agreements, invoicing, and liability are handled personally and in writing for every engagement.
Startups, small and mid-size businesses, and independent professionals facing technology decisions they will live with for years — choosing core platforms, moving to the cloud, adopting AI tools, or tightening security — who want experienced, unbiased guidance without hiring a full-time technology executive.
Yes. The practice is remote-first: discovery calls, workshops, and reviews run over video, and deliverables are shared in writing. Time-zone differences are handled with scheduled sessions and clear written follow-ups.
After a free introductory call, you receive a written proposal with a defined scope and fee before any work begins. Project work is quoted at a fixed price wherever the scope allows; advisory and retainer arrangements are quoted per engagement. Nothing is billed without prior written agreement.
Yes. A mutual non-disclosure agreement can be put in place before any substantive discussion of your systems, data, or plans — just mention it on the introductory call.
You receive a short written summary of what was discussed and, if there is a fit, a proposal with options and a recommended path. There is no obligation to proceed, and no follow-up sales pressure either way.
Contact

Book an introductory call

Tell me a little about what you are working on. I reply personally to every inquiry — usually within one business day — with suggested times for a free introductory conversation.

Email
contact@jamesliu19921101.com
jamesliu19921101@gmail.com
Business structure
Lianyong Liu — Sole Proprietorship
Working hours
Monday–Friday, by appointment across time zones

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