← Funding-Ready GrowthFunding-ready AI market expansion system
AIFunding-ready commercial system
Commercial outcome
International enquiries receive faster, more consistent and better-governed answers while qualified opportunities reach the right human owner with useful context.
Funding-ready flagship
Turn approved product knowledge into a controlled multilingual buyer-response and qualification workflow.
A human-reviewed AI system for companies handling repeated international buyer questions, complex product information and inconsistent enquiry routing.
Designed outcomeInternational enquiries receive faster, more consistent and better-governed answers while qualified opportunities reach the right human owner with useful context.
The visible request
“We need an AI chatbot for overseas customers.”
The real commercial pressure
The company has no approved knowledge model, claim boundaries, human review path, exception rules, lead qualification or ownership. A chatbot alone can scale inconsistency and risk.
Strong commercial fit
This project is designed for active companies with a real market objective.
Covered overseas markets where multilingual buyer response supports a real expansion objective.
Exporters with repeated technical or product questions
Companies with multilingual product and service information
Trading, machinery, engineering and specialist B2B teams
Businesses willing to appoint knowledge, compliance and sales owners
Potential BUD alignment to assess
The funding logic follows the commercial scope—not the other way around.
These categories describe possible alignment only. The applicant, target market, designated measures, cost limits, procurement and official assessment determine actual eligibility.
AI-enabled upgrading
Approved knowledge, AI-assisted response, routing, review controls and measurable workflow improvement.
Market development
Multilingual buyer support and qualification tied to a covered target-market objective.
Promoting sales
Buyer enquiry, product guidance, lead qualification and human sales handoff.
Connected delivery scope
Strategy, implementation and evidence inside one project architecture.
The final quotation separates labour, third-party costs, client dependencies, acceptance points and any measures that require programme-specific confirmation.
AI opportunity and risk map
Use cases, non-use cases, target markets, claims, privacy boundaries and human ownership.
Approved knowledge system
Product, service, process, policy and evidence content organised for controlled retrieval.
Buyer assistant experience
Multilingual question flow, product guidance, enquiry capture and clear AI disclosure.
Human review and escalation
Confidence rules, exception handling, claim review, department routing and response ownership.
Lead and measurement layer
Qualification fields, source context, unresolved-question backlog and performance dashboard.
Governance and evidence pack
Testing records, acceptance criteria, model boundaries, knowledge approvals and implementation evidence.
Illustrative project economics
Illustrative HK$318,000 approved project
The illustration uses the current BUD matching ratio of up to 25% of approved project cost. It is not a forecast of approval, recognised expenditure or final reimbursement.
Example project costHK$318,000
Illustrative maximum government shareHK$79,50025% of the example cost
Illustrative enterprise cash shareHK$238,50075% before other ineligible or third-party costs
Easy BUD and General BUD have different measures, documentation and per-application ceilings. The official guide and approved budget always prevail.
Controlled implementation
Decision and evidence checkpoints before production speed.
A project may pause or reduce scope when applicant evidence, target-market rationale, cash capacity, procurement or client ownership is not ready.
Use-case diagnostic
Confirm the target market, repeated work, risk, expected users and measurable operating objective.
Knowledge and controls
Build the approved source set, ownership model, claim rules and escalation boundaries.
Assistant build
Create the multilingual buyer experience, qualification and human handoff.
Adversarial QA
Test unsupported claims, ambiguous questions, privacy, language, failures and escalation.
Controlled launch
Release with measurement, unresolved-question review and a documented improvement backlog.
Evidence-ready handover
The project should be easier to verify because it was built that way.
- Approved use-case and governance document
- Knowledge source and approval register
- Test and exception records
- Human escalation acceptance
- Lead and measurement configuration
- Final implementation evidence matrix
Applicant responsibilities
The client remains the applicant and decision owner.
- Provide accurate product, policy, compliance and process information
- Appoint knowledge, risk and sales owners
- Approve AI disclosure, privacy and escalation rules
- Maintain project cash flow and applicable procurement records
- Make all funding representations and declarations itself
Clear exclusions
Funding-ready does not mean funding-guaranteed.
theSerkan is not appointed by the Government or HKPC. We structure and deliver the commercial project; official eligibility and funding decisions remain outside our control.
- Autonomous legal, medical, financial or safety-critical decisions
- Guaranteed answer accuracy without human and source governance
- Training a proprietary foundation model unless separately scoped
- Unlimited knowledge ingestion, channels, languages or integrations
- Funding approval or reimbursement guarantee
Choose the next decision
Build the knowledge and ownership before scaling the answer.
Start with the Funding Fit Check when the applicant, target market or AI use case is still uncertain.