Haynechi
Haynechi Index Understand where you stand in AI Search before competitors own the prompt map.

Trust Center

Trust controls for answer-operations work.

Haynechi gives governed teams clear data boundaries, supervised agent workflows, transparent legal readiness, and evidence-backed proof.

Control ModelPre-production
Data boundaries

Pilot work starts with market, competitor, prompt, source, and URL inputs; private customer systems are not required for the first map.

Human approval

Agent outputs remain drafts until a customer owner approves the recommendation, brief, or public-facing action.

Evidence trace

Each readout preserves prompt, engine, region, answer snapshot, citation URL, capture time, and action owner.

Retention planning

Workspace retention, exports, deletion, and access boundaries are defined before production customer data is processed.

Readiness LedgerCurrent state
Contact intake

Cloudflare Pages Function with validation, honeypot filtering, and optional CRM/webhook forwarding

implemented
Static delivery

Generated headers, redirects, canonical URLs, OG metadata, and Cloudflare Pages static output

implemented
Security review

Security questionnaire, subprocessors, retention plan, and implementation controls

scoped
Legal package

MSA, DPA, privacy, SLA, support policy, and supplemental product terms

draft-ready
Production app

Authenticated workspaces, SSO/SCIM, audit exports, and warehouse sync

future scope
Proof BoundariesHonest claims
Evidence-backed compliance

SOC 2, certification, and enterprise-control language appears only when the supporting evidence is complete.

Supervised publishing

AI-generated work is positioned as supervised evidence and drafts, not unattended external action.

Permissioned customer proof

Scenario rows and sample product surfaces stay labeled until public customer proof exists.

Measured influence

Haynechi sells evidence, workflow, and measurement rather than guaranteed control over third-party AI answers.

Trust Packet Room

Make the trust story inspectable before procurement asks.

Haynechi trust feels credible because the packet separates public implementation evidence, pilot boundaries, legal readiness, security review, and future-app controls without turning readiness into unsupported claims.

Legal packet
Trust PacketsEvaluation ready
Data boundary packet

Market, competitor, prompt, URL, source, and account inputs are separated from private customer systems before a pilot begins.

boundary
Agent governance packet

Agent outputs carry template, input evidence, reviewer, approval state, export target, and publication boundary.

govern
Proof packet

Answer deltas, citation changes, crawler context, referral quality, confidence label, and caveat remain together.

proof
Procurement packet

Legal readiness, support path, security posture, subprocessors, retention plan, and future-app controls stay state-labeled.

review
Control EvidenceCurrent truth
Static delivery

Generated static routes, metadata, headers, redirects, sitemap, robots, llms.txt, and security.txt are implemented.

implemented
Contact intake

Cloudflare Pages Function validation, honeypot filtering, local preview fallback, and optional webhook forwarding are implemented.

implemented
Disclosure path

Responsible disclosure page, security.txt, triage model, safe-testing boundaries, and report packet guidance are implemented.

implemented
Workspace controls

Authentication, roles, audit exports, retention automation, SSO/SCIM, and warehouse sync are future-app controls.

future app
Review PathClaim approval
01 Scope the pilot

Name the buyer, market, prompt families, source surfaces, data boundary, and first proof question.

02 Map the evidence

Attach answer snapshots, citation URLs, source classes, crawler context, owner actions, and sample/customer-data state.

03 Review controls

Separate implemented static controls, scoped legal packet, future workspace controls, and counsel/security review items.

04 Approve claims

Publish only claims backed by implemented evidence, approved customer proof, or clearly scoped readiness language.

Reviewer LensesWho uses it
Buyer

Pilot Map scope, expected evidence package, proof cadence, and what remains outside direct answer-engine control.

Security

Disclosure route, report packet, current static controls, future app control boundaries, and open questionnaire items.

Legal

MSA, DPA, SLA, support policy, privacy, supplemental terms, procurement packet, and counsel-review status.

Executive

Permissioned traction, evidence-backed compliance, product-object proof, and a clear path from static site to governed workspace.

Packet BoundariesHonest readiness
Evidence before assertion

The page shows what exists, what is scoped, and what is future work before making trust claims.

Customer-owned approvals

Agent outputs, exports, public proof, and publication decisions remain customer-reviewed.

Visible control state

Implemented, scoped, draft-ready, required-review, and future-app states stay visible.

Procurement-ready, not procurement-final

Trust materials support evaluation; signed commitments still belong in counsel-reviewed documents and order forms.

Legal Readiness

Evaluation documents are separated by contract surface.

These public pages are readiness summaries. Final production language moves through counsel review before signature, customer reliance, or launch.

Commercial draft Master Subscription Agreement The production agreement defines workspace access, pilot scope, subscription terms, acceptable use, confidentiality, limitations, and order-form precedence before customer signature. Product terms draft Supplemental Terms Supplemental terms describe feature-specific boundaries for benchmark reports, supervised agents, integrations, pilot workspaces, and AI-generated workflow artifacts. DPA readiness draft Data Processing Agreement The data-processing agreement defines roles, subprocessors, retention, deletion, security review, and cross-border data handling before production customer data is processed. SLA readiness draft Service Level Agreement The service-level agreement distinguishes static marketing uptime, pilot response expectations, production application availability, and support escalation paths. Support draft Support Policy The support policy gives pilot and production customers clear paths for implementation questions, data issues, report updates, and security concerns. Privacy draft Privacy Policy The privacy policy explains contact-intake data, pilot workspace materials, analytics, retention, subprocessors, and customer-requested deletion for readiness review.

Enterprise controls are scoped before scale.

Security review, role separation, retention, audit exports, API access, and implementation support are defined with governed teams before rollout.

Enterprise details