Customer support decision

ADELANTE LTD

A capable engineer can build a narrow WISMO/returns workflow replacement in about a week using existing LLMs and integrations (prior art exists), but matching Adelante’s full managed product (SOC2, multi-channel integrations, continuous vendor-run tuning) is harder to replicate alone.

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Subscription$800/month ✓ verified
Initial build30 hours
Monthly upkeep8 hours + $200
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

  • Accept customer message, fetch order/context from helpdesk+store, decide action via LLM, call store/helpdesk APIs to perform/update (order status, address change, start return), write outcome back to helpdesk thread and log for monitoring.

What it still won’t have

  • Managed implementation, ongoing QA tuning, and weekly optimization
  • SOC 2 / GDPR compliance assurance maintained by vendor
  • Multi-channel integrations and unlimited integrations offered by the vendor
  • 30-day money-back guarantee and vendor SLA/ops

What remains hard

  • Compliance and regulationSOC 2 Type II and GDPR compliance
  • Execution qualityDone-for-you · Live in 10 days · Improving every day
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 1 seat.

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 minimal managed AI ecommerce support agent using Node.js (Express) + Postgres + a serverless worker (e.g., Vercel/AWS Lambda) and OpenAI-compatible LLM API. In scope: (1) webhook to ingest tickets from one helpdesk (Zendesk/Gorgias), (2) connectors to Shopify to fetch order and to perform order edits/returns, (3) an LLM orchestration service that maps ticket text+order context to a safe action with confidence gating, (4) executor that calls store/helpdesk APIs and writes structured audit logs to Postgres, (5) a simple staff UI to review handoffs and retry failed actions. Out of scope: multi-channel routing beyond the chosen helpdesk, SOC 2 certification, payment processing, and enterprise-grade scaling. Include auth, retries, error handling, unit tests for core modules, and end-to-end tests for the WISMO (where-is-my-order) workflow.
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 →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 2 moats quoted from the page