Solutions
AI spend is climbing. AI tool cost visibility isn’t.
Your engineering teams are using a dozen tools. The spend is real and growing; per-developer costs compound across tools, models, and sessions. The charge arrives after the work is done, with no breakdown of who spent it, on which project, or whether any of it produced anything you can defend in a budget review.
That’s the gap Aixle closes. You get a real-time view of every tool, every dollar, and every interaction, before the invoice arrives.
“I know my teams are shipping faster with AI. I can’t tell you what it’s costing or what it’s producing.”
— The Engineering Leader
Why it happens
Your AI spend has no ceiling. Your visibility does.
Three patterns that leave engineering organizations with unbounded costs and no way to answer the CFO.
No ceiling on spend.
AI tool spend scales with usage, and usage has no ceiling. Each developer’s bill compounds across tools, models, and sessions. There’s no alert, no cap, and no point at which the spend becomes visible. Until the invoice arrives.
No attribution layer.
Knowing the total is not the same as knowing where it went. Without attribution by developer, project, and model, there’s no way to tie AI spend to any deliverable. The CFO asks what the AI investment produced. Nobody has the answer.
Compliance exposure goes untracked.
Every prompt sent to a third-party AI provider is a potential leak of source code, credentials, PII, or PHI. Without scanning and logging at the interaction level, there’s no record of what was sent, what was retained, and who is accountable if something goes wrong.
The AI spend problem, by the numbers
Routine per-developer AI tool spend, and single sessions have topped $1,400
Most engineering leaders find out what their developers are spending on AI tools when the invoice arrives. By then, the pattern is already set.
Gergely Orosz · Pragmatic EngineeringA ~3-person team’s AI tool bill for 30 days. No guardrails, no visibility.
This isn’t an outlier. It’s what AI tool spend looks like without a cap, a threshold, or anyone watching the meter.
Peter Steinberger · OpenClawHow Aixle solves it
AI tool cost visibility starts before the bill arrives
You get a single dashboard that consolidates spend, usage, and compliance across every AI coding tool your team uses. No proxy. No code changes. Live in about a minute.
Visibility
Every AI coding tool in one real-time view: Claude Code, Cursor, Copilot, Anthropic API, OpenAI, and more. Total spend, trends, top tools by cost, and a live activity feed across every developer and project. No more switching between Anthropic billing, Copilot admin, and OpenRouter usage tabs.
Attribution
Cost broken down by developer, project, and model: AI spend attribution that ties spend to deliverables, not just invoices. Set spend caps and auto-flag usage spikes before the bill arrives. Every member ranked by spend across all tools, every project drillable to per-developer cost.
Compliance
AI compliance monitoring built into every interaction: scanned for secrets, PII, and PHI, classified, scored by risk severity, and logged with full attribution. Audit-ready retention policies for SOC 2, HIPAA, and custom org requirements. Immutable purge logs. When the auditor asks, you show them the record.
Start the sprint
Five weeks to a complete view of your AI spend
In five weeks, you’ll have complete visibility into what your AI tools are costing and what they’re producing, with two working workflows live and a board-ready plan for what comes next. Fixed price. No commitment beyond the sprint.
FAQ