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.

Escalation Matrix

An escalation matrix is a predefined routing table that specifies who receives escalated tickets based on ticket type, severity, customer tier, and time-in-queue thresholds. It turns escalation from judgment-based behavior into a documented operating rule.

Why it matters for B2B support

An escalation matrix removes human guesswork from routing decisions: a P1 ticket from an enterprise customer that has been open for 2 hours pages the VP of Engineering, not just the on-call support lead. B2B teams without a documented matrix escalate inconsistently: about 30% of P1 tickets never reach engineering because agents stay within L1-L2 paths, while 40% of P2 tickets get over-escalated to senior contacts. Most teams define the matrix in a runbook or Notion page but enforce it manually inside Zendesk, Jira Service Management, or Slack. That gap between policy and execution is where missed handoffs and unnecessary escalations happen.

Key benchmarks

30%

of P1 tickets that never reach engineering without a documented escalation matrix

2.4×

faster mean escalation time with automated matrix enforcement vs. manual judgment

40%

of P2 tickets over-escalated to senior contacts in teams without escalation matrices

4 tiers

typical escalation matrix structure for mid-market B2B SaaS support

How Altor helps

Altor can classify severity and system ownership as the ticket arrives, making it easier to trigger the right escalation path with evidence attached. That reduces both missed engineering escalations and noisy over-escalations.

FAQ

What should an escalation matrix include?

At minimum: severity, customer tier, queue-time threshold, system owner, and paging target. The best B2B matrices also specify what evidence must be attached before escalation.

Why do teams over-escalate without a matrix?

Because agents default to hierarchy instead of ownership. Without clear rules, a P2 billing issue may get sent to senior leaders even though finance systems or L2 support should handle it first.

How often should an escalation matrix be updated?

Review it after every major incident and at least quarterly. New products, on-call rotations, and org changes quickly make static escalation rules outdated.

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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