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.

Resolution Rate

Resolution rate is the percentage of tickets fully resolved within a given period, typically measured as daily or weekly throughput relative to incoming ticket volume. It shows whether the team is keeping up with demand or silently accumulating backlog.

Why it matters for B2B support

Resolution rate captures operating balance. A 95% daily resolution rate means the team is closing slightly fewer tickets than it opens, which compounds into roughly 65% backlog growth over a 20-business-day month. Resolution rate and queue depth move together: if daily resolution stays below incoming volume, queue depth will eventually break service targets no matter how responsive agents look in the first hour. In B2B technical support, the main lever is investigation speed because tickets stuck in diagnosis take 3–5× longer than tickets with known fixes.

Key benchmarks

95%

daily resolution rate that leads to 65% queue growth over a month (unsustainable)

105–115%

target resolution rate during backlog recovery mode (clearing the queue)

3–5×

longer resolution time for tickets requiring investigation vs. tickets with known solutions

12%

average improvement in resolution rate from investigation automation in B2B support

How Altor helps

Altor increases resolution rate by shortening diagnosis on the tickets that usually stay open longest. That lets teams close more volume per day without adding headcount or lowering quality.

FAQ

Why can a team have good first responses but poor resolution rate?

Because responding quickly does not mean resolving quickly. If tickets enter investigation and stay there, the team looks responsive while backlog continues to grow.

What resolution rate should teams target during backlog recovery?

Usually 105–115% of incoming volume for a sustained period. Anything near 100% stabilizes the queue but does not actively shrink it.

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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