How is Altor different from a docs chatbot?

Docs chatbots answer 'how does this work?' from your knowledge base. Altor answers 'why is this broken for this customer right now?' by querying their actual API logs, checking your bug tracker, and verifying their billing status — across 6+ systems in under 2 minutes.

How is Altor different from our support platform?

Pylon, Plain, Zendesk — they route and manage tickets. Altor investigates them. We plug into your existing support tool as the investigation layer. You keep your workflows, we add the diagnosis.

Will Altor take actions without asking?

Not by default. Altor starts as a read-only investigator — it surfaces a diagnosis for your team to review. You control which action types graduate to auto-approval. Destructive actions are never automated.

What if our stack isn't listed?

If an API exists for your system, we can integrate it. The architecture composes tools — it doesn't hardcode connectors. We've yet to encounter a B2B stack we can't connect to.

What does Altor pricing look like?

Usage-based — you pay per investigation, not per seat. Pricing is quoted in USD ($) with no minimum commitment. We'll scope pricing during the demo based on your ticket volume and systems.

Fin answers FAQs. Your engineers still investigate the hard tickets.

Intercom Fin resolves common questions from your help center. When a customer reports a production issue — latency spikes, webhook failures, billing discrepancies — Fin can't query your ClickHouse logs or check your bug tracker. Altor can.

Tickets that escalate past Fin

These are the tickets that sit in queue until an engineer has time to investigate:

•"Events stopped flowing into our dashboard 3 hours ago" — ingestion pipeline stalled, schema change, or customer-side config error?
•"Our monthly invoice is $800 higher than expected" — usage spike, plan change mid-cycle, or metering bug?
•"SDK throws auth errors intermittently on iOS" — token refresh race condition, clock skew, or a known SDK bug?
•"Data export job fails with timeout after running fine for months" — dataset grew past threshold, or infrastructure change?

What Altor investigates for Intercom-powered teams

Altor connects to the systems where your investigation data actually lives:

•ClickHouse — event ingestion rates, pipeline latency, error logs by customer and endpoint
•Stripe — invoice breakdown, plan changes, metered billing reconciliation against actual usage
•Linear — open bugs, recent regressions, SDK compatibility issues
•GitHub — deploy history, config changes, SDK release notes matching the customer's version
•StatusPage / PagerDuty — upstream outages, planned maintenance windows

80%

of technical tickets escalate past Fin to human agents

2 min

Altor's median diagnosis vs. 30 min manual

production systems queried simultaneously

changes to your Intercom inbox or routing rules

"Our tickets are investigations, not FAQs. Nobody else could even attempt to answer them automatically. Altor can because it queries our actual production data."
— Engineering lead, Portkey

Why Intercom teams add Altor

Fin is excellent at deflecting FAQ-style questions. But B2B technical support isn't mostly FAQs — it's mostly investigations. A customer reporting intermittent auth failures needs someone to check their token flow against your OAuth logs, not read a help article.

Altor works alongside Intercom as the investigation layer. Fin handles the 20% it can. Altor handles the 80% that requires pulling live data from production systems.

Altor vs. doc chatbots Webhook failure investigation Portkey case study

See Altor investigate a real ticket from your queue

We'll connect to your systems and run a live investigation. Your data, your ticket, diagnosed in 2 minutes during EST or PST hours.

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