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.

How does Claude investigate support tickets?

Claude reads the ticket, account context, and the systems tied to that customer. It then queries logs, billing records, issue trackers, and deploy history in parallel so the agent sees a diagnosis backed by evidence instead of a guess.

What systems does Claude connect to for ticket investigation?

Typical setups include ClickHouse, Stripe, GitHub, Linear, internal APIs, and the help desk itself. If a system has an API, it can usually be added to the investigation flow.

How long does it take to set up automated ticket investigation?

Most Altor deployments for a single investigation workflow go live in about 14 days. Week one covers stack mapping and read-only access. Week two covers playbooks, testing, and rollout.

Automation guide

Automate Support Ticket Investigation with Claude

Investigate technical support tickets by having Claude pull logs, billing state, bug history, and deploy context before an agent replies.

The problem

Support teams spend 20-45 minutes per technical ticket manually checking logs, billing, and bug trackers before they can respond.

The outcome

Root cause identified in under 2 minutes. Engineering escalations drop 60%. Agents respond with evidence, not guesses.

The tool

Claude (Anthropic) — long-context reasoning across multiple data sources simultaneously.

How it works — step by step

1
Ticket arrives in Zendesk or Intercom with account context.
2
Claude queries ClickHouse logs, Stripe billing, Linear issues, and GitHub deploys in parallel.
3
Claude synthesizes findings into a diagnosis with supporting evidence.
4
Agent reviews the diagnosis and responds — or escalates with full context attached.

About Claude (Anthropic)

Anthropic's Claude is the leading model for long-context reasoning, coding, and instruction-following. Best for complex workflows requiring careful reasoning.

Strengths

✓ Long context (200k tokens)
✓ Instruction following
✓ Code generation
✓ Document analysis

Pricing

Per token — claude-3-5-sonnet: $3/$15 per 1M tokens in/out

Documentation ↗

Want this in production?

Altor builds support ticket investigation automation for US B2B companies. 14 days to production.

At Portkey, investigation time dropped from 45 minutes to 2 minutes per ticket. We connect the systems your support team already needs, keep the workflow read-only first, and ship a working investigator into production fast.

Book a call →Or send sample tickets first

How it works — step by step

About Claude (Anthropic)

Related guides

Altor builds support ticket investigation automation for US B2B companies. 14 days to production.