Start with one workflow.Turn AI into organisational capability.
AI implementation & organizational transformation
ReceiveWork startsin the real world.
Messages, voice notes, images and files. Start with work as it actually arrives.
Messages / voice / images / filesPrepareTurn scattered inputsinto organized work.
Extract key information, connect existing materials, and clarify tasks, owners and next steps.
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.
Move confirmed work into existing tools and processes, 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 keepsStart with the work you keep repeating.
Design handovers. Purchase checks. Shared knowledge and current documents. Different industries often have similar work worth improving.
Stop chasing updates
Core team enterprise practice
Keep tasks, files and progress in one place, so teams repeat less and managers see blockers sooner.
See how it works
What the work produces
- A current view of every active job
- A list of missing items and exceptions
- A named owner and next action for each blocker
Stop asking around for answers
Core team enterprise practice
Ask once for the latest answer, source file or image—while the company controls who can see what.
See how it answers
What the work produces
- A clear answer ready to use
- The supporting file, image or data source
- Permission and source-date context
Let AI screen routine requests so approvers only review exceptions
Tailored solution
Check missing documents, limits, duplicates and process gaps—then send exceptions to a human.
See how AI reviews
What the work produces
- A pre-check result for each request
- A clear exception reason and missing-item list
- An organised approval queue and action record
Get clear on who you need
Business co-creation
AI organises role requirements, CV highlights, interview questions and feedback. People make the hiring decision.
Follow the hiring process
What the work produces
- One agreed role standard
- Focused interview preparation for each candidate
- Feedback gaps, follow-up questions and next actions
Turn a customer message into an order
Stardev delivery
AI turns chats, screenshots, voice notes and POs into a ready-to-check order draft.
8 hours0.5 hourOne back-office role · Weekly order-entry time
Follow an order
What the work produces
- A ready-to-check order draft
- A focused list of questions and missing details
- A confirmed file for the existing order process
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
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.
Explore how your company can growChoose 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
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
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
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.
Common questions.
Can 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.
What 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.
Are 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 a piece of real work.
No complete brief needed. Tell us how the work happens today and what you want to improve. We will explore fit and agree on a next step.