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 12, 2026OpenAI

GPT-6 reaches all users, with an interface that adapts to the task

OpenAI has completed the full rollout of GPT-6, pairing the new model with an "Intelligent UI" that reshapes the workspace around what you are doing — documents, code, spreadsheets, or plain conversation. For everyday users, the headline is straightforward: fewer settings to fiddle with, and help that shows up in the shape your task actually needs.

What this means for your business: interface changes matter more than model numbers for most teams. If your staff already rely on an AI assistant, expect a short adjustment period and refresh your internal how-to guides — the buttons are moving, even when the underlying work isn't.

Oct 12, 2026Anthropic

Claude Haiku 5.5 cuts prices by 90%

Anthropic has slashed the price of Claude Haiku 5.5, its fast, lightweight model, by 90%. Cheaper capable models flow directly into the apps people already use — customer support, writing assistants, study tools — making them faster to answer and cheaper to run, and putting pressure on every rival to follow.

What this means for your business: falling prices at the small-model end are what make high-volume tasks — support chat, document sorting, inbox triage — pay for themselves. If you priced an AI pilot last year and it didn't pencil out, re-run the numbers before you rule it out again.

Oct 12, 2026Mistral AI

Mistral unveils Le Chonk, a 1-trillion-parameter model

French lab Mistral AI has introduced Le Chonk, a model with one trillion parameters — firmly in the heavyweight class usually occupied by a handful of US labs. A strong European contender matters beyond bragging rights: more competition tends to mean better multilingual support, sharper pricing, and more choices for businesses outside the US ecosystem.

What this means for your business: a credible non-US frontier lab gives you leverage — on price, on data residency, and on language coverage. You don't need to switch vendors; you need your current vendors to know that you could.

Oct 12, 2026Google

Google releases MedGemma, an AI built for medicine

Google's MedGemma is designed for medical work — reading clinical notes and medical images, and helping clinicians reason through cases. For patients, the near-term effect is indirect but real: tools like this show up first inside hospitals and clinics, where they can shorten waits and catch things a tired human eye might miss.

What this means for your business: specialized models are arriving field by field, healthcare first. In regulated work the practical move is rarely to adopt early — it is to ask your existing software vendors how this class of AI enters their roadmap, and what human oversight comes with it.

Oct 12, 2026Reflection AI

Reflection AI launches Beam as an open-weight model

Reflection AI has released Beam with open weights, meaning anyone can download it, run it on their own machines, and build on it without asking permission. Open models are the ones that end up inside free tools, offline apps, and privacy-friendly products — the kind of AI you can use without handing your data to anyone.

What this means for your business: open weights are the privacy option. A model that runs on your own hardware keeps sensitive data in-house — for firms kept out of cloud AI by client confidentiality, this is the class of release worth watching, and piloting.

Oct 12, 2026OpenAI

OpenAI publishes 722 mathematics papers in a single release

In an unusual move, OpenAI has released 722 mathematics papers at once — a large body of AI-generated research made public in one drop. The practical angle: results published openly can be checked, taught, and built upon by anyone, so advances locked inside one lab's model start turning into shared knowledge the whole field can use.

What this means for your business: research at this scale feeds quietly into the tools you already use — better reasoning in next year's assistants, not a product to buy today. File it under "capabilities coming", and ignore anyone selling urgency around it.

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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