Start with one workflow.Turn AI into organisational capability.
Workflows · Human collaboration · Organizational knowledge
ReceiveWork startsin the real world.
Images, voice notes, purchase orders. Start with work as it actually arrives.
Images / voice / ordersPrepareTurn scattered inputsinto organized work.
Identify the content, check customers, products and prices, then route the work.
Identify / check / routeConfirmKeep people in controlof key decisions.
AI prepares the material and recommendations. People own exceptions and key decisions.
Human confirmationDeliverOnce confirmed,the work moves forward.
Generate the files your existing systems need, ready for the next person to use.
Files / handoff / resultsBuildMake every workflowan organizational asset.
Confirmed rules, versions and results become knowledge the next person and workflow can use.
See what your company keepsScroll to follow the work
Start with one workflow—or start with the whole company.
Both entrances lead to the same path: create a real business result, spread the working method to more people, then retain it as company capability.
0102
I have a workflow to improve
Choose a time-heavy task in orders, stores, approvals, hiring or knowledge search. Make it work first, then measure it.
See the real projectI need to scale AI across the company
Build from one successful project: develop internal AI pioneers, connect the talent system, and retain knowledge, rules and working methods inside the company.
See the three-layer pathWork once shared by more than ten peoplenow runs with one employee and AI.
A REAL STARDEV PROJECT · REGIONAL PILOT FOR A LISTED FMCG GROUP
A sales-led listed FMCG group operates sales-support teams across several regions. Its Hong Kong lead invited Stardev to run a pilot: turn frequent order-follow-up work from images, voice messages and purchase orders into an AI-led workflow with staff confirmation.
Another large market in the same group still has sixty to seventy people supporting similar work. The Hong Kong project shows that AI can do more than make one person faster: it can redesign how a team operates.
10+ people1 person + AI
The new Hong Kong sales-support setup8 hours0.5 hour
Weekly order-entry time for one back-office role
- 01Receive non-standard orders
- 02Check customer, product and price
- 03Staff confirm key decisions
- 04Produce files for existing systems
Choose the depth. You do not have to start big.
Decide whether the work is worth doing, test one real loop, then connect it to teams and systems. Every level creates a useful result and a clear decision about what comes next.
AI opportunity diagnosis
For deciding where to begin
Use one real workflow to locate time costs, data boundaries, human decision gates, and the best first test.
- Current workflow and time baseline
- Data, permissions, and risk list
- Decision on whether to enter PoC
Single-scenario PoC
For testing one defined loop
Use real materials with one user group and one defined job, producing traceable results that the team can judge directly.
- Working scenario prototype
- Representative questions and acceptance set
- Trial, issue log, and review
Tailored implementation and support
For connecting a real team and its tools
Connect the proven method to real teams, permissions, and tools, with production monitoring, maintenance, and clear exit mechanisms.
- Systems and tool connections
- Permissions, human confirmation, and exceptions
- Launch training, monitoring, and iteration
Make one workflow work.Develop a network of people.Retain it as organisational capability.
These are not three service packages. They are the company’s capability path from workflows to people to organisational assets. An engagement can stop at one clear result or continue when the evidence supports it.
AI-enabled workflows
Prove that AI can make one real piece of work faster and more reliable.Map the workflow, find the real constraint, define the division of work between AI and staff, and connect it to existing operations.
- Workflow diagnosis
- AI workbench or specialist
- Human decision gates
- Measurable outcomes
AI pioneer network
Turn one person’s capability into a wider organisational movement.Use real projects for internal learning, identify high-potential AI pioneers, and connect role profiles, development and OKRs to the transformation.
- Internal case training
- AI pioneer identification
- Cross-functional project community
- Role profiles and OKRs
AI-native organisation layer
Make methods, knowledge and rules belong to the company—not one person.Create a governed company knowledge container with permissions and versions, continuously retaining approved conversations, workflows, prompts, rules and deliverables.
- Company knowledge container
- Permission and version governance
- Reusable work mechanisms
- Handover and continuous improvement
The earlier you begin, the sooner your company compounds its own AI capability.
One delivery solves a current problem. Retained experience gives the next workflow a stronger starting point.
Make one workflow work.
Start with a valuable task. Let AI prepare repetitive work while people retain control of key decisions.
Prove the first resultKeep what can be reused.
Bring confirmed rules, workflow versions, business knowledge and collaboration experience into a company-owned working archive.
Keep the method in the companyBuild on what came before.
The next task and the next employee can access authorized experience, then improve it through new practice.
Let capability accumulateA real deliveryResults and decisions
01
Business rules
ConfirmedConfirmed decision criteria
02
Workflow versions
VersionedExecutable, traceable methods
03
Organizational knowledge
SourcedSources and useful context
04
Team experience
TransferableRoles and handover records
Next employee + AIAccess to authorized experience
When a key employee leaves,the company should not forget.
What matters is not how many conversations one person had with AI. It is the decisions, rules and working methods the company has already validated. Stardev turns them into a traceable system that the next person can inherit and continue improving.
Turn every AI initiative into capability the company owns.- Retain approved decisions, workflows, versions and outcomes—not an undifferentiated pile of every conversation.
- Keep source material in existing systems while adding one knowledge map, permission model and source trail.
- Prompts, workflow rules, decision criteria and handover records belong to the company, not a personal account.
- New hires can inherit the right context, standards and prior judgement by permission instead of starting from zero.
You do not need to redesign the whole company on day one. Start with one valuable workflow, prove the result, then decide how to scale it across people and the organisation.
Turn the work you chase every day into work that keeps moving.
A customer message starts an order. Before a store visit, the route, talking points and priority products are ready. Before the day begins, managers receive a clear business brief. Start with three common ways to put AI to work.
AI Order Operations Specialist
Turn a customer message into an orderAI turns chats, screenshots, voice notes and POs into a ready-to-check order draft.
Follow an order
AI Store Operations Specialist
Plan the next stop, a store-specific pitch and priority SKU mixAI builds the day’s Route Plan, then prepares a store-specific talk track, objection handling and priority SKU mix for each restaurant, neighbourhood shop or supermarket.
Follow an AI-guided sales day
AI Business Briefing Specialist
Know what changed before the business day beginsEach day, AI summarises selected public competitor updates and company-approved information from ecommerce, sales channels and physical stores, then creates a briefing for each role.
See a daily briefingOne task, one AI specialist. Complex work, a team in relay.
AI handles the repetitive work first. People keep the key decisions.
Simple task · one specialistComplex work · specialist team
Client details
Order specialist
Order draft
Staff review
One task, owned by one specialist
New lead
Contact
Order
Follow-up
Key approval
How the work runs now
01People gather the inputs
Information is found across chats, spreadsheets, and separate systems.
02People process each step
Organising, checking, and follow-up are completed manually.
03People chase the progress
Every step needs someone to check, remind, and hand it over.
How it runs with AI
01AI specialists receive the request
The task and required materials enter through one place.
02AI handles the repetitive work
It organises, checks, drafts, and flags exceptions first.
03People make the key decisions
They confirm important results, handle exceptions, and decide what happens next.
The depth can change. The delivery method stays consistent.
Start from real work, clear boundaries, and a controlled trial, so every expansion is supported by evidence rather than a large speculative plan.
Stardev began with one practical question: why are people still spending so much time on repetitive processes?
Stardev founder Kevin previously held senior management roles at a Fortune Global 500 company and a publicly listed multinational group. Like many business leaders, he had to move the business forward while also finding information, checking details, chasing updates, and preparing documents—repetitive work that still had to get done.
When AI became genuinely useful, Kevin first applied it to his own work, then to the way his teams worked together. He saw that the problem was rarely a lack of effort; too much capable time was being spent completing processes for the sake of the process. Stardev grew from a practical idea: let AI take on the repetitive but necessary work, so people can focus on judgement, customers, and business growth.
Start with one task that happens every day
Begin with information gathering, follow-ups, document preparation, or a single approval—and give the team time back where they can feel it.
Make the process serve the business
Let AI gather, check, organise, remind, and prepare the next step, so people spend less time chasing the process.
Keep important decisions human
AI prepares the information, highlights what matters, and moves the next step forward. Judgement, customer relationships, and critical decisions stay with the people who know the business best.
Common questions.
AI specialists, team collaboration, pricing, deeper services, and accountability.
01What is the difference between one AI specialist and an AI specialist team?
The difference is not which is “smarter,” but whether the work needs division of labour. One AI specialist suits a focused task with a clear scope and repeatable steps: it uses a defined set of knowledge, rules, and tools to produce one result. A specialist team suits work that spans several stages, with different specialists handling research, analysis, drafting, or execution before a coordinating role combines and checks the result. For a hypothetical example, one meeting-notes specialist may be enough to turn a transcript into action items. If the job runs from a customer brief through market research, solution design, a quotation draft, and follow-up, research, solution, data, and follow-up specialists can work together before a person confirms the final result.
02Can it connect to WeChat, Lark, Excel, CRM, or ERP?
In many cases, yes. We first check whether the existing system supports a direct connection, or start with file import, export, or browser-based work. Complex ERP changes, custom development, company-hosted deployment, and large moves of old data are assessed separately.
03What happens when AI is wrong? Does it replace staff decisions?
AI can be wrong, so we do not let it carry a process through without limits. Before launch, we agree what it may handle on its own and what always needs a person’s confirmation. If information is missing, conflicting, or outside the agreed rules, the AI stops and asks the responsible person instead of guessing. It can organise information, prepare drafts, and update routine records, while payments, approvals, external messages, and contractual commitments still require a person’s final decision. We also keep a record of the steps so mistakes can be found and corrected.
04Do you offer enterprise training or deeper AI deployment beyond specialist teams?
Yes. We can deliver enterprise training and hands-on workshops, then continue by simplifying the work, organising company materials, connecting complex systems, or deploying in the company’s own environment. For a first structured move into AI, teams can bring real work into the room, identify the best part to hand over first, and only then decide whether to build a longer-term solution. Scope and pricing are agreed separately.
05Are model fees, software, and ongoing support included?
Packages include the stated build, trial, and adjustment work. Third-party AI fees, software subscriptions, travel, extra material preparation, and ongoing support are confirmed separately. For sensitive information, we first agree who may see it, which external services are used, and how it is kept.
Start with one workflow—or discuss what comes next for the whole company.
Still looking for the right opening? Diagnose one real workflow. Already building momentum? Design how talent, operating mechanisms, and organisational capability continue from there.
MAINLAND CHINA · COMPANY EMAIL
Leave your contact details and we will reach out.
Email a short description of the work and include the email address or phone number you prefer. We will check fit first, then contact you about the next step.
What happens next
- Describe the workflow you want to improve
- Leave an email address or phone number
- We contact you to confirm the next step
HONG KONG · COMPANY EMAIL
Leave your contact details and we will reach out.
Hong Kong and cross-border enquiries can start by company email. Describe the workflow and leave your preferred email address or phone number.
What happens next
- Describe the workflow you want to improve
- Leave an email address or phone number
- We contact you to confirm the next step
INTERNATIONAL · COMPANY EMAIL
Leave your contact details and we will reach out.
Wherever your team is based, email a short description of the work and include your preferred email address or phone number.
What happens next
- Describe the workflow you want to improve
- Leave an email address or phone number
- We contact you to confirm the next step