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 Abandonment Rate

Ticket abandonment rate is the percentage of customers who submit a ticket or start a support interaction but withdraw it without resolution, either by closing the chat, deleting the ticket, or stopping responses. It measures unresolved demand that disappears from normal closure metrics.

Why it matters for B2B support

B2B ticket abandonment is significant but rarely tracked. Customers who abandon support do not vanish; they escalate to account managers, leave negative reviews, or churn silently. Abandonment rises sharply during long-hold periods over 24 hours and after the third transfer, when the customer no longer believes the support workflow will solve the problem. At a 15% abandonment rate on 10,000 monthly tickets, a team is effectively leaving 1,500 unresolved issues per month outside the visible support dashboard.

Key benchmarks

15%

average ticket abandonment rate in B2B SaaS support (estimated — rarely tracked explicitly)

3.2×

higher abandonment rate after the third transfer vs. first contact

24 hrs

hold time threshold after which abandonment rate doubles

68%

of abandoned B2B support interactions escalate to account manager within 7 days

How Altor helps

Altor reduces abandonment by shortening wait periods and reducing unnecessary transfers. Customers are less likely to disappear when the first replies contain evidence and the ticket stays with the right owner.

FAQ

Why is abandonment dangerous if the ticket disappears?

Because the customer problem does not disappear. It usually resurfaces through account management, executive escalation, or renewal risk where the cost is even higher.

How can teams measure abandonment rate accurately?

Correlate tickets closed without resolution against later customer activity, account-manager escalations, and new tickets on the same issue. Without that linkage, abandonment looks like a clean closure.

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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