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 API errors?

Claude reads the failing request details, then checks gateway logs, event history, deploy changes, and known issues in parallel. It returns a diagnosis that support can send or escalate with evidence attached.

Can Claude tell whether an API error is account-specific or global?

Yes. The investigation playbook checks whether the same error pattern appears across accounts, endpoints, or regions. That helps support separate customer misconfiguration from a wider incident.

How long does automated API error investigation take to set up?

A focused setup usually takes about 14 days. That includes read-only access to logs and source systems, playbook tuning for the main error classes, and agent training on review flows.

Automation guide

Automate API Error Investigation with Claude

Trace 429s, timeouts, webhook misses, and account-specific API failures by letting Claude inspect logs, recent deploys, and known bugs before support escalates.

The problem

API-first companies get flooded with error reports. Engineers spend hours tracing 429s, timeouts, and webhook failures that support can't diagnose without production access.

The outcome

Support identifies root cause before paging engineering. 429s traced to rate limit config in 90 seconds. Webhook failures diagnosed from delivery logs.

The tool

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

How it works — step by step

1
Customer reports an API error such as a 429, timeout, or missed webhook.
2
Claude queries API gateway logs, the ClickHouse event store, and GitHub for recent deploys.
3
Claude checks whether the error is account-specific or global, and whether it maps to a known bug or regression.
4
Support responds with a diagnosis — engineers only see tickets that need code fixes.

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 API error investigation automation for US B2B companies. 14 days to production.

Support should not wait for production access just to explain a 429 or timeout. We wire Claude into your gateway logs, event store, deploy history, and bug tracker so frontline teams can close more API tickets without paging engineering.

Book a call →Or send sample tickets first

How it works — step by step

About Claude (Anthropic)

Related guides

Altor builds API error investigation automation for US B2B companies. 14 days to production.