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 Aging

Ticket aging measures the time elapsed since a ticket was created without full resolution. B2B teams usually track aging in hours for P1 and P2 tickets and in days for lower-priority queues.

Why it matters for B2B support

B2B tickets that age past SLA thresholds cost real money because enterprise contracts typically include credits for P1 tickets unresolved past 4 hours. For teams running 400+ tickets per week in Zendesk or Salesforce Service Cloud, aging analysis shows whether the bottleneck is investigation time or bad routing into the wrong queue. The average aging inflection point where churn risk materially increases is 48 hours for P2 tickets in B2B SaaS. Once tickets pass that threshold, account managers usually get pulled in to manage executive follow-up and renewal risk.

Key benchmarks

48 hrs

P2 ticket aging threshold where B2B churn risk increases significantly

4 hrs

typical enterprise SLA for P1 ticket resolution before credit penalties apply

23%

average reduction in ticket aging when investigation is automated

$450

average cost per hour of a P1 ticket unresolved past SLA in mid-market B2B

How Altor helps

Altor reduces aging by starting investigation immediately and attaching system evidence before the ticket sits idle in the queue. That shortens the time spent waiting on diagnosis and helps agents escalate correctly the first time.

FAQ

Why does ticket aging matter more in B2B than consumer support?

Because aging maps directly to SLA penalties, executive escalation, and renewal risk. A P2 ticket left open for 48 hours on a mid-market account often triggers account-manager intervention even if the issue is eventually fixed.

How should teams segment ticket aging?

Track P1 and P2 aging in hours, not days, and break it down by queue, assignee tier, and customer segment. That shows whether the delay is diagnosis, routing, or customer-response wait time.

What is a dangerous ticket aging pattern?

A steep rise after the first 24 hours usually means investigation or escalation is blocked. In B2B SaaS teams, the biggest churn-risk jump happens once P2 tickets cross 48 hours unresolved.

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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