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 do I automate incident response with Claude (Anthropic)?

Detect alerts, query logs and metrics, draft incident summaries, coordinate team response, and generate postmortems. On-call engineer receives full incident context within 90 seconds of alert. Investigation starts at diagnosis, not at data collection.

What are the steps to set up incident response automation?

PagerDuty / alerting system fires Then: AI queries logs, metrics, and recent deployments across all systems Then: Incident summary with likely root cause drafted and posted to Slack Then: After resolution, postmortem template auto-populated from incident data

How long does it take to automate incident response?

With Altor, most workflows go from audit to live production in 3 weeks. DIY with tools like n8n or Make typically takes 2-6 weeks depending on integration complexity.

Automation guide

How to Automate Incident Response with Claude (Anthropic)

Detect alerts, query logs and metrics, draft incident summaries, coordinate team response, and generate postmortems.

The problem

When a production incident fires, engineers spend the first 20 minutes just gathering context from 6 different monitoring tools.

The outcome

On-call engineer receives full incident context within 90 seconds of alert. Investigation starts at diagnosis, not at data collection.

The tool

Claude (Anthropic) — Anthropic's Claude is the leading model for long-context reasoning, coding, and instruction-following.

How it works — step by step

1
PagerDuty / alerting system fires
2
AI queries logs, metrics, and recent deployments across all systems
3
Incident summary with likely root cause drafted and posted to Slack
4
After resolution, postmortem template auto-populated from incident data

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 incident response automation for US B2B companies.

We don't hand off code and disappear. We connect to your live systems, ship to production in 3 weeks, and stay until the system delivers measurable impact. On-call engineer receives full incident context within 90 seconds of alert. Investigation starts at diagnosis, not at data collection.

Email us your workflow →

How it works — step by step

About Claude (Anthropic)

Related guides

Altor builds incident response automation for US B2B companies.