Is your technical team signing SLAs without auditing every performance clause due to a lack of time?
In Enterprise B2B negotiations, contracts and Service Level Agreements (SLAs) hide technical uptime and latency requirements within hundreds of pages. Forcing your engineers or lawyers to manually cross-reference these clauses with your actual infrastructure delays sales closures and exposes the company to massive financial penalties for promising metrics your servers cannot handle.
The trap of Manual Siloed Reviews
Delegating this review solely to a legal team disconnected from technical reality, or using standard OCR tools that don't understand software architecture context, generates false positives. An SLA signed blindly is not a business agreement, it is a financial time bomb.
Our solution: NLP Legal-Technical Auditor
At LANZA ESTUDIO, we deploy a private Natural Language Processing (NLP) model that reads, understands, and cross-references the client's legal requirements with the reality of your technical infrastructure.
- Semantic Clause Extraction: We automatically identify and isolate any technical metric (response times, uptime, penalties) hidden within the contract.
- Infrastructure Data Cross-referencing: The AI compares what the contract demands with the historical performance data of your servers.
- Financial Risk Alerting: Generation of a dashboard that highlights in red the clauses where there is a high technical risk of non-compliance.
- Defensive Drafting Proposal: The agent suggests legal modifications in real-time to shield your technical liability before signing.
The Real Impact on Contract Closing
- 100% Risk Mitigation: Zero signed agreements with technical requirements that are unacceptable for your current architecture.
- B2B Sales Acceleration: Reduction of the contract review cycle from 3 weeks to less than 10 minutes.
- Legal-Technical Alignment: Perfect synchronization between what the sales department promises and what engineering can deliver.