Customer support decision

Hiver

A narrow replacement that auto-generates and serves a help center and reply drafts is realistic for a single developer in ~1 week, but reproducing Hiver’s enterprise compliance, broad omnichannel connectors, and mature agent/workflow features is impractical without substantial investment.

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Subscription$35/month ✓ verified
Initial build30 hours
Monthly upkeep8 hours + $100
Evidence3/3 runs agree

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need — the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship.

What a replacement has to do

  • Ingest conversations, extract Q&A pairs, publish searchable help articles, and surface suggested answers / drafts for agents using an LLM.

What it still won’t have

  • Enterprise compliance and attestation (SOC2/ISO/HIPAA) out of the box
  • Large catalog of native integrations and omnichannel connectors
  • Mature multi-agent workflows, routing, and admin tooling
  • Hosted voice/SMS and pooled minutes functionality
  • Hiver-managed security, uptime SLA, and vendor support

What remains hard

  • Compliance and regulationHiver is GDPR, SOC 2 Type II, ISO 27001, CCPA, and HIPAA compliant.
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 3 seats.

Paid seatsseats

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

AI build APIs + hosting

Time you would spend

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a single-tenant help center service using Node.js + Express, Postgres, and Elasticsearch; integrate with an LLM (OpenAI) for text cleaning and article drafting. In scope: ingest ticket text via a webhook endpoint, extract Q&A pairs and metadata, generate draft help-articles and suggested reply drafts via the LLM, store and index articles, provide a simple React UI to review/publish articles and to surface suggested replies inside a ticket view, and implement search API. Out of scope: hosted voice/SMS, enterprise SSO and compliance attestation, and building 1,000+ native integrations. Include error handling, rate-limit LLM calls, and unit/integration tests for ingestion, LLM pipeline, storage, and search.
How we checked5 sources · 3/3 runs agreed · evidence score 64

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Hard moats found in the evidence-3
  • Evidence score64

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time — so the same evidence always produces the same number.

How scoring works →

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat quoted from the page