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.

Service Level

Service level is the percentage of tickets answered within a target time threshold, typically expressed as “X% of tickets answered within Y minutes.” Unlike an SLA, service level is usually an internal operational target rather than a contractual promise.

Why it matters for B2B support

A common B2B service level target is “80% of P2 tickets responded to within 2 hours.” That means 20% of tickets can miss the internal target without triggering a contractual SLA breach, which gives the team a useful operating buffer. Teams managed to service level generally produce more consistent customer experience than teams managed only to SLA, because they do not wait until a ticket is near breach before acting. SLA-only cultures often under-prioritize tickets at hour 1 or 2 of a 4-hour commitment even though the customer experience is already deteriorating.

Key benchmarks

80%

standard service level target for P2 B2B tickets (80% answered within 2 hours)

20%

contractual buffer between service level target and SLA breach threshold

15%

CSAT improvement from managing to service level vs. SLA-only measurement

3.8×

more consistent response time distribution in teams running service-level management vs. SLA-only

How Altor helps

Altor helps teams hit service-level targets by shrinking the technical work required before an agent can send a meaningful reply. That creates more buffer between operational targets and contractual deadlines.

FAQ

What is the difference between service level and SLA?

Service level is usually an internal operating target like 80% within 2 hours. An SLA is a customer contract with penalties if the team misses the agreed threshold.

Why should B2B teams manage to service level instead of SLA alone?

Because service-level management creates buffer. It pushes the team to act early and consistently instead of only reacting when tickets are close to contractual breach.

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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