What is an AI services company?

An AI services company builds, deploys, and operates production AI systems for businesses. Unlike AI consultants (who produce strategy documents) or AI implementors (who hand off at launch), an AI services company stays accountable for the system working and improving over time. Altor builds AI systems that connect to your production tools and automate specific workflows — live in 3 weeks.

How much does it cost to build an AI agent?

Custom AI agent development costs $10K–$75K for a single-workflow production deployment, plus $1K–$5K/month for ongoing maintenance. A simple agent connecting to 1-2 systems costs $10K–$25K. A complex agent connecting to 5-6 production systems costs $40K–$75K. Most deployments go live within 3 weeks.

Is there software that can reduce support escalations?

Yes. Software that automatically investigates support tickets by querying production systems (logs, bug trackers, billing, recent deploys) gives frontline agents the context they need to resolve tickets without escalating. At Portkey, this approach reduced investigation time from 45 minutes to 2 minutes and eliminated the information gap that causes most escalations.

How long does AI deployment take?

A focused single-workflow AI deployment typically takes 2-4 weeks from kickoff to first live investigation. Week 1: stack audit and integration planning. Week 2: read-only connections live, first investigations on real data. Weeks 3-4: playbooks tuned, team trained, system handed over.

What is production AI?

Production AI is an AI system that operates continuously in a live business environment, handling real data and real users — held to the same reliability standards as any other production software. This is different from pilot AI (which runs in controlled environments) or demo AI (which shows capability without handling real workflows). 67% of enterprise AI projects fail to reach production.

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.

Ticket Reopen Rate

Ticket reopen rate is the percentage of resolved tickets that are reopened by the customer within a defined window, usually 7 or 30 days, because the issue was not fully resolved. It measures how often a “closed” ticket was only temporarily quiet.

Why it matters for B2B support

A 10% reopen rate means 1 in 10 resolutions failed in practice. On a team processing 10,000 tickets per month, that creates about 1,000 reopened tickets carrying higher frustration and lower CSAT because the customer is solving the same problem twice. Reopen rates above 8% usually point to symptom-level responses instead of root-cause fixes. Tickets closed with a documented root cause generally reopen at 3–4%, versus 12–15% when the team closes on symptom relief alone.

Key benchmarks

reopen rate threshold above which surface-level resolution is the systemic cause

1,000

monthly reopened tickets in a 10,000-ticket/month team at 10% reopen rate

3–4%

reopen rate for tickets resolved with documented root cause (vs. 12–15% for symptom-only closes)

2.8×

higher CSAT reduction on reopened tickets vs. first-time resolutions due to compounded frustration

How Altor helps

Altor reduces reopen rate by giving agents root-cause evidence before they close the case. That helps the team resolve underlying issues instead of closing based on temporary symptom changes.

FAQ

What causes high reopen rates in B2B support?

Most often, agents close the ticket after the symptom disappears without confirming the underlying cause. Missing documentation and rushed closures also make reopen rates rise.

What is a strong reopen-rate target?

Below 5% is strong for technical B2B support. Once the metric rises above 8%, leaders should review whether closures include root cause and customer validation.

See Altor investigate a real ticket

We connect to your systems and diagnose a real ticket in 2 minutes during US hours.

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