Integrations

Connect answer intelligence to the tools already running the business.

Haynechi is designed to fit into analytics, content, CRM, warehouse, and collaboration workflows.

Integration Model

Move only the answer evidence each system can actually use.

Haynechi connects to the marketing stack through scoped events, confidence labels, owner tasks, and readout links rather than raw answer dumps.

Architecture docs

Signal PipelineData flow

01 Capture evidence

Prompt runs, answer snapshots, citations, source records, crawler events, and agent artifacts enter the workspace.

02 Normalize context

Haynechi attaches engine, region, prompt family, source type, owner, confidence, and proof status.

03 Route selectively

Only useful scores, tasks, alerts, or readout fields are sent to downstream systems.

04 Close the loop

Content releases, source fixes, CRM notes, and campaign milestones come back as movement context.

Destination MapCustomer scoped

Analytics

GA4, Plausible, PostHog, Segment

referral quality, events, confidence labels scoped

Warehouse

Snowflake, BigQuery, CSV export

answer scores, source records, proof events scoped

CRM

HubSpot, Salesforce

accounts, opportunities, executive notes scoped

Content

Webflow, Contentful, CMS

briefs, refresh queues, source requirements planned

Collaboration

Slack, email, Looker

alerts, readouts, owner tasks planned

Cloudflare

Pages, Workers, logs

contact intake, redirects, crawler context implemented

Event ContractStable objects

answer.snapshot.captured

prompt, engine, region, answer state, citation set

workspace

citation.source.changed

domain, URL, source type, freshness, owner path

source graph

agent.run.reviewed

template, artifact, reviewer, approval state, export target

runtime

crawler.window.observed

bot class, page, status, timestamp, confidence

proof console

readout.sent

scope, movement, caveats, owner, next action

reporting

Sync GuardrailsGoverned

Minimal payloads

Sync the smallest useful object: scores, state changes, owner tasks, and readout links before raw evidence.

Confidence labels

Observed, inferred, unknown, and scoped signals stay distinct in downstream systems.

Customer approval

CRM, warehouse, analytics, and collaboration destinations are customer-approved implementation choices.

Attribution caveat

Referral and crawler events are exported with caveats when they do not prove causality.

Integration Contract Room

Every sync preserves evidence, ownership, and proof state.

The premium integration story is not a logo grid. It is a governed contract for which answer objects leave Haynechi, which fields travel with them, who approved the destination, and how downstream work returns as proof context.

Enterprise controls

Object ContractsStable schema

Answer object

answer_snapshot_id, prompt_family, engine, region, answer_state, sentiment, citation_count, and capture_time.

core

Source object

source_url, domain, source_type, freshness_window, citation_role, owner_path, and trust_label.

source

Workflow object

task_id, evidence_link, owner, approval_state, export_target, expected_movement, and due_window.

action

Proof object

readout_id, answer_delta, citation_delta, crawler_context, referral_quality, confidence, and caveat.

proof

Payload FieldsMinimal useful

Identity

Stable IDs, workspace, market, engine, region, prompt family, source URL, and capture timestamp.

required

Evidence

Answer text state, citation set, source class, confidence label, freshness window, and sample/customer-data state.

required

Ownership

Assigned team, reviewer, approval state, export destination, task owner, and customer approval note.

scoped

Movement

Observed delta, inferred influence, crawler context, referral quality, release marker, and caveat.

scoped

Sync ReviewApproval loop

01 Select destination

Define whether the receiving system requires an alert, task, score, readout link, or export artifact.

02 Reduce payload

Remove raw answer evidence when a confidence label, state change, owner task, or readout link is enough.

03 Approve export

Customer owner confirms the destination, fields, cadence, and whether the export contains sample or customer data.

04 Loop back

Destination events, content releases, CRM updates, or source fixes return as proof context before the next readout.

Proof HandoffsDestination fit

Analytics

Referral quality, bot context, answer state, release marker, and confidence labels for measurement review.

Warehouse

Normalized answer, source, crawler, task, and proof objects for analyst-owned inspection.

CRM

Account-level risk, executive note, answer-market context, and approved next action without raw prompt sprawl.

Collaboration

Owner task, evidence link, priority, due window, approval status, and readout summary.

Contract BoundariesGoverned

Minimal data movement

Downstream systems receive the smallest useful object rather than full prompt histories by default.

Named destinations

Customer-approved implementation scope names every destination before payloads are exported.

Caveated proof events

Crawler, referral, and answer events keep confidence labels when they do not prove causality.

Future-app labeling

Authenticated workspace sync, audit logs, role controls, and retention policies stay marked as future app until built.

Start with the map

Start with one market map.

Request the pilot