OUR SERVICE LINES

Turning what is hardest to quantify into an operating system that is manageable, measurable and deliverable

All three service lines share one theme and one way of working: measure first, then judge, then act. A dedicated on-site advisor can be added to make sure the system really runs inside your organization.

Service Line A

Brand Trust & AI Visibility

We assess how your organization appears across search engines, generative AI and the public information environment, set a quantified baseline you can keep tracking, then turn content architecture, brand governance and leadership alignment into standing mechanisms.

AI Brand Trust Diagnostic and baseline setting
Content and visibility architecture for the AI era (GEO / AEO)
Translating technical achievements into market language
Setting up a Brand Operations Office
Leadership strategy dialogue and consensus building
Executive education

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Service Line B

On-Premises & Hybrid Cloud AI Advisory

We match the sensitivity of your data to where models are deployed: confidential data stays on-premises for inference, general tasks go to cloud models, a gateway and audit logs sit in between, and we define who signs off and is accountable.

Data sensitivity assessment and AI usage policy
On-premises and hybrid cloud architecture planning
Enterprise knowledge base and retrieval-augmented generation (RAG)
AI agent workflow adoption
AI governance and audit readiness

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Service Line C

Investment Structure & Governance

We design a dual-track operating model for incubation funds and investment funds, and draft the charter and review procedures of the investment review committee, so investment decisions follow a system rather than case-by-case discretion.

Incubation fund and investment fund structure design
Investment Review Committee (IRC) governance framework
Compliance and regulatory filing planning
International partnership and business matching strategy

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Across all lines: a dedicated on-site advisor can be added to any service line

A dedicated advisor works on-site with your team, supporting project monitoring, cross-department coordination, expert meetings and consolidation of results — so the system actually runs inside your organization instead of stopping when the advisors leave.

How we deliver

From deliverable specifications and pricing to confidentiality and conflicts of interest, everything is spelled out, so the commissioning organization knows how acceptance and reimbursement will work before signing.

Deliverables

Each engagement is built on a three-part deliverable: a full analysis or planning report (.docx), an executive decision deck (.pptx), and execution records (meeting minutes, expert consultation opinions and progress-monitoring results). All deliverables are submitted before the contract deadline, and the engagement is closed once the client has inspected and accepted them.

Pricing and invoicing

Engagements can be priced on a fixed lump-sum basis, with the budget itemized in three lines: subtotal before tax, business tax, and total including tax. Payment can be made in installments tied to contract signing and acceptance, in line with the procurement and reimbursement procedures of institutions and public agencies.

Confidentiality and conflicts of interest

All client data and engagement details are covered by confidentiality. Before accepting an engagement, we proactively disclose any potential conflicts of interest and, where necessary, recuse the people involved or decline the engagement. For AI projects involving a client's internal data, the working environment, model selection and data retention are all handled in an auditable way.

Working principles

Start small, get it right, and produce verifiable results before talking about scale.
Deliver systems, not just documents. Every phase leaves behind processes and tools that internal staff can take over and run.
Transparent methodology. Index dimensions, sampling methods and monitoring frequency are all documented and available for internal audit.

— START WITH SIGNAL

Know your score first,
then decide whether to work with us

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