What Can GPT-6 Astra Do?
GPT-6 Astra launched on September 3: faster computer use, $10/$50 per million tokens, and OpenAI's first model at the Critical cybersecurity level.
Practical AI implementation guides, comparisons and the business implications of global developments.
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GPT-6 Astra launched on September 3: faster computer use, $10/$50 per million tokens, and OpenAI's first model at the Critical cybersecurity level.
A prioritized list of automatable processes with cost and payback estimates. From HUF 500,000 + VAT; what it contains, and when to pilot instead.
Per Anthropic, a typical workload costs about 25% less at unchanged token prices; the switch pays off most for long-running agentic systems.
Only the provider's watermark shows reliably that a text was written by AI; post-hoc detectors are inaccurate. Gemini watermarks since 2024, Claude since 2026.
Step by step: what the assistant should do (inquiry summaries, quote drafts, follow-ups), what your CRM must provide, and where a human stays in the loop.
Copilot is enough while the work stays in Teams and SharePoint. When a process posts into an ERP with no ready connector and runs unattended, build it custom.
If data cannot leave the company, on-premise; if speed and model quality decide, cloud; most systems we build end up hybrid. The decision criteria.
Data on eight Hungarian AI consulting firms, identical criteria, SME angle: entry offer, pricing, references, EU AI Act. No ranking fits every company.
The four risk categories, provider and deployer roles, what the high-risk obligations mean in practice, and a realistic preparation sequence.
An AI invoice processing system runs €30-80K; the entry is the assessment from HUF 500,000 + VAT. Volume, formats and ERP connections move the price.
Not as a standalone development goal — LLM subscriptions are eligible at HUF 14,400 net per user per month in the DIMOP Plusz-1.2.6/C-26 call.
Which document types pay back first, OCR vs. LLM extraction, architecture next to your ERP, and what it costs — a decision guide built on production numbers.