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 lead qualification with Claude (Anthropic)?

Score and route inbound leads by querying CRM data, firmographic signals, and fit criteria automatically. SDRs only touch qualified leads. Conversion rates improve. CRM data stays fresh without manual input.

What are the steps to set up lead qualification automation?

New lead arrives in CRM or via web form Then: AI enriches the lead with firmographic and intent data Then: Scoring model assigns fit tier (hot / warm / cold) Then: Lead is routed to appropriate rep or nurture sequence

How long does it take to automate lead qualification?

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 Lead Qualification with Claude (Anthropic)

Score and route inbound leads by querying CRM data, firmographic signals, and fit criteria automatically.

The problem

Sales teams waste 70% of their time on leads that will never convert. Manual qualification is slow, inconsistent, and non-scalable.

The outcome

SDRs only touch qualified leads. Conversion rates improve. CRM data stays fresh without manual input.

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
New lead arrives in CRM or via web form
2
AI enriches the lead with firmographic and intent data
3
Scoring model assigns fit tier (hot / warm / cold)
4
Lead is routed to appropriate rep or nurture sequence

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 lead qualification 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. SDRs only touch qualified leads. Conversion rates improve. CRM data stays fresh without manual input.

Email us your workflow →

How it works — step by step

About Claude (Anthropic)

Related guides

Altor builds lead qualification automation for US B2B companies.