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. No minimum commitment. We'll scope pricing during the demo based on your ticket volume and systems.

Doc chatbots answer questions. Your tickets need investigations.

When a customer reports "my API calls are returning 429s," a doc chatbot searches your knowledge base. Altor queries their actual API logs in ClickHouse, checks Linear for known bugs, and verifies their billing in Stripe — delivering a root-cause diagnosis in 2 minutes instead of 45.

Same ticket, two approaches

Customer reports: "My API calls are failing with 429 errors since this morning."

	Doc chatbot	Altor
First action	Searches knowledge base for "429 error" articles	Queries ClickHouse for this customer's 429 rate over the last 24 hours
Data sources	Documentation only	ClickHouse + Linear + Stripe + GitHub + StatusPage + docs
Response	"Here's our rate limit documentation" (generic)	"429s spiked from 12% to 43% due to bug LIN-482. Fix in PR #891, shipping in 3 days. Workaround: exponential backoff."
Time to resolution	Customer escalates → engineer investigates manually (20–45 min)	2 minutes, no escalation needed
Ticket coverage	~20% of B2B support tickets (FAQ-answerable)	The other 80% — tickets requiring live data from customer systems

80%

of B2B support tickets require investigation, not doc lookups

2 min

median diagnosis time with Altor (down from 20–45 min)

systems queried per investigation

$80–200K

annual cost per support engineer spent on manual investigation

The 80% gap in support AI

Doc chatbots solve a real problem — they handle password resets, "how do I configure X?" questions, and onboarding queries well. That covers roughly 20% of B2B support volume.

The other 80% are technical investigations: "my API calls are failing," "latency spiked since yesterday," "webhooks stopped firing." These require pulling live customer data from ClickHouse, checking Linear for known bugs, verifying Stripe billing status, and cross-referencing recent GitHub deploys. No knowledge base contains this information because it changes with every customer and every ticket.

This is the gap Altor fills. Not by replacing your doc chatbot — by handling the 80% it was never designed to solve.

"Our doc chatbot handled maybe 1 in 5 tickets. The rest sat in queue until an engineer had time to investigate."
— Engineering lead, Portkey

How Altor works alongside your existing tools

Altor is not a replacement for your doc chatbot or your support platform. It's the investigation layer that sits between them. Your support platform (Pylon, Zendesk, Intercom) routes and manages tickets. Your doc chatbot handles FAQ-style questions. Altor handles everything else — the technical investigations that currently escalate to engineering.

When a ticket arrives that needs investigation, Altor queries 6+ integrated systems, synthesizes findings into a structured diagnosis, and delivers it back into your existing workflow. Your support team gets root causes, not search results.

How Portkey cut investigation time from 45 min to 2 Altor vs. support platform AI See a full API error investigation

See the difference on a real ticket

We'll connect to your systems and investigate a ticket from your queue — live. Your data, your ticket, diagnosed in real time.

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