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.

Self-Service Rate

Self-service rate is the percentage of customer issues resolved through self-service channels such as documentation, knowledge bases, FAQs, or chatbots without human agent involvement. It measures how often customers can solve the issue on their own.

Why it matters for B2B support

Self-service rate is both an efficiency metric and a product-quality signal. High self-service above 35% can mean documentation is excellent, but it can also mean the product generates lots of repetitive issues that should be fixed in UX. Low self-service below 15% in a technical B2B product usually means either the problems are genuinely complex or the documentation does not match real customer failure modes. The highest-impact self-service asset for B2B SaaS is indexed, searchable error-code documentation that customers can find in under 2 minutes.

Key benchmarks

25–35%

target self-service rate for B2B technical SaaS products (reflects appropriate complexity)

2 min

maximum search time for self-service to succeed — longer searches fail 80% of the time

18%

average self-service rate across mid-market B2B SaaS companies (below optimal)

$4.50

cost per self-served resolution vs. $28–$45 for agent-handled ticket in B2B SaaS

How Altor helps

Altor helps teams separate issues that should self-serve from issues that need real technical investigation. That lets documentation handle the simple cases while serious tickets move directly into diagnosis.

FAQ

What is a good self-service rate for technical B2B products?

Usually 25–35%. Much lower often means the docs are weak; much higher can signal that the product is generating too many repetitive support needs.

What content drives self-service success best?

Specific, searchable error documentation and workflow-specific troubleshooting. Generic overview docs help less than targeted answers tied to the exact failure customers see.

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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