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.

Transfer Rate

Transfer rate is the percentage of tickets transferred from the initial handling agent to another agent, team, or escalation tier before resolution. It measures how often work changes hands before the customer gets an answer.

Why it matters for B2B support

Transfer rate is a compound metric because it reflects both bad initial routing and knowledge gaps that force handoffs later. Each transfer adds roughly 15–45 minutes to resolution time as the receiving agent reads context and re-establishes the investigation. At a 25% transfer rate in a 10,000-ticket-per-month team, those handoffs create about 1,250 wasted agent-hours every month. In B2B technical support, the most common cause is routing by broad topic instead of system domain, like sending a ClickHouse performance issue into a general queue where it gets transferred 2.3× before reaching the right owner.

Key benchmarks

25%

average transfer rate in B2B technical support (industry survey, 2024)

30 min

average time lost per ticket transfer due to context re-establishment

1,250 hrs

monthly agent hours lost to transfers in a 10,000-ticket/month team at 25% transfer rate

2.3×

average transfers before resolution for database-specific tickets routed to general support

How Altor helps

Altor lowers transfer rate by classifying likely root cause and system ownership up front. That helps the first agent or queue start in the right place with the right evidence.

FAQ

What is a healthy transfer rate for B2B support?

Lower is usually better, especially for high-severity tickets. If more than one in four technical tickets is transferred, the team usually has a routing or access problem.

Why do transfers hurt customer experience so much?

Because every handoff forces the customer to wait while a new person reconstructs context. Even when the internal handoff is polite, the customer experiences it as delay and uncertainty.

How do teams reduce transfer rate?

Improve initial routing by system domain, document tier ownership clearly, and give first-line agents enough diagnostic evidence to keep more tickets with the original owner.

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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