Enterprise Procurement Proof System

Enterprise Procurement Proof System menyediakan jalur pemeriksaan bagi procurement, legal, finance, risk, corporate communication, marketing, dan digital transformation yang sedang menilai Undercover.co.id sebagai vendor AI Visibility, GEO, AI Optimization, monitoring, atau corporate transition support.

Halaman ini bukan self-certification dan bukan pengganti vendor due diligence resmi. Fungsinya adalah mengarahkan setiap pertanyaan procurement ke source page dan evidence yang tepat.

1. Legal identity

Undercover.co.id dioperasikan oleh PT Tujuh Huruf Digital. Identitas legal, alamat, dan informasi perusahaan harus diperiksa melalui Legalitas Perusahaan. Identifiers tidak perlu disalin ke semua halaman karena duplikasi meningkatkan risiko konflik.

2. Core capability

AI Visibility Audit: baseline, entity, query, citation, competitor, evidence, and risk.
GEO Implementation Program: source, page, schema, evidence, internal graph, and correction implementation.
AI Visibility Monitoring: repeat observation, movement, incident, and reporting.
AI Visibility Reporting: executive and operational output.

3. Scope and exclusions

Scope harus menyebut entity, domain, market, language, AI surfaces, query set, competitor, data access, deliverables, review cycle, acceptance, and owner. Exclusions harus menjelaskan pekerjaan yang tidak termasuk, seperti media placement, legal advice, security certification, direct model control, guaranteed citation, atau guaranteed revenue.

4. Delivery model

Model delivery, named personnel, subcontractor or specialist involvement, tool usage, and data location dijelaskan pada proposal atau statement of work. Website tidak boleh menggunakan klaim absolut bahwa tidak pernah ada pihak ketiga jika kondisi tersebut belum dikonfirmasi untuk setiap engagement.

5. Confidentiality and data handling

NDA tersedia sesuai kebutuhan. Data classification, access, retention, deletion, screenshot handling, and confidential evidence boundary harus disepakati. Lihat Privacy Policy, Ethics and AI Governance Policy, dan halaman confidential engagement under NDA.

6. Methodology and reproducibility

AI Visibility Measurement Framework menjelaskan observation unit, failure taxonomy, query selection, scoring, confidence, public-private boundary, and reporting.

7. Experience and relationship disclosure

Case Studies menggunakan classification yang membedakan client implementation, internal implementation, ecosystem implementation, public brand observation, anonymized case, and methodology example. Logo atau nama brand tidak digunakan sebagai satu-satunya bukti.

8. Independent validation

Media references menunjukkan public footprint dan historical validation. Media coverage tidak sama dengan client outcome dan hanya mendukung claim yang benar-benar dibahas oleh publication.

9. Claim-to-evidence mapping

Claim-to-Evidence Ledger menghubungkan institutional claim, capability, observed evidence, implementation, monitoring, procurement readiness, board reporting, and limitation.

10. Acceptance criteria

Scope, exclusion, owner, and dependencies confirmed.
Required input and access received.
Audit or implementation artifacts delivered.
Changed URLs, schema, evidence, or source corrections documented.
Observation status and limitation reported.
Open risk, dependency, and unresolved item recorded.
Client review or acceptance recorded.

Acceptance tidak boleh bergantung pada permanent AI ranking atau guaranteed citation.

11. Reporting and escalation

Monthly or quarterly reporting dapat menggunakan AI Visibility Board Pack Template. Material misinformation, wrong legal entity, ownership error, reputation risk, or regulated claim dapat mengikuti incident response process.

12. Pricing and proposal

Pricing mengikuti entity complexity, query scope, market, language, implementation depth, monitoring cadence, confidentiality, and reporting requirement. Public pricing adalah indikasi jika tersedia. Proposal yang berlaku menjadi source of truth untuk engagement tertentu.

Vendor comparison questions

Apakah vendor membedakan observation, implementation, and outcome?
Apakah provider failure dipisahkan dari brand absence?
Apakah case relationship terlihat?
Apakah limitation dan non-guarantee tertulis?
Apakah setiap deliverable memiliki acceptance criteria?
Apakah raw record dan version history dapat diperiksa oleh pihak berwenang?
Apakah data owner dan escalation route ditetapkan?

Next step

Buyer dapat meminta credentials meeting melalui Enterprise Consultation atau Contact Undercover.co.id.

Definisi, Scope, dan Batasan

Enterprise Procurement Proof System harus ditempatkan dalam konteks entity, evidence, retrieval, governance, dan keputusan bisnis. Halaman ini tidak menjadi bukti tunggal. Klaim yang material harus diarahkan ke sumber resmi, methodology, observation, implementation record, atau independent validation.