Frequently Asked Questions

Yes, when implemented with AIScale's local-first architecture. We use Llama 3.3 running on-premises via Ollama, ensuring no sensitive patient data leaves your infrastructure. Our Hybrid-Cloud Compliance Stack (HCCS) maintains full audit trails required by DOT regulations while leveraging AI for 73% faster report generation.

For regulated industries, AIScale recommends Llama 3.3 70B for complex reasoning tasks, Mistral 7B for faster responses, and Qwen 2.5 for specialized compliance checking. All models can be deployed via Ollama with Supabase RAG for document context.

AIScale's HCCS architecture ensures SOC2 compliance through local-only LLM inference (no data egress), comprehensive audit logging of all AI interactions, role-based access controls, encrypted storage, regular penetration testing, and documented incident response procedures.

Local deployment offers several advantages: no per-token API fees after setup, complete data sovereignty (critical for regulated industries), lower latency without network round-trips, no vendor lock-in with open-source models, and full control over your AI stack. It's essential for HIPAA, SOC2, and DOT compliance.

Our AI agents integrate with your CRM (Salesforce, HubSpot, Keap) through native APIs. When a lead enters your system, AI immediately engages to qualify them based on BANT criteria, answers common questions, and routes high-quality leads to human sales reps. All conversation data stays on your infrastructure, and every interaction is logged to your CRM automatically.

AIScale specializes in regulated industries including transportation and logistics (DOT compliance), healthcare and finance (SOC2 compliance), real estate, digital agencies, and manufacturing. We serve companies across the United States, Singapore, UAE, and European Union.

HCCS is AIScale's proprietary framework for deploying AI in regulated industries. It combines local LLM inference (no data egress) with cloud-based orchestration for workflow automation. Components include local-first AI via Ollama, cloud coordination via n8n, secure storage via Supabase, and an automated compliance layer. It delivers enterprise automation while maintaining zero data egress.

We offer custom pricing based on your specific needs: number of users/agents, complexity of compliance requirements, infrastructure needs (on-prem vs cloud), and ongoing support level. We offer both project-based implementations and monthly retainers. Schedule a free AI audit call to discuss your requirements and get a tailored quote.

Implementation timelines vary by complexity: Simple CRM AI integration (2-4 weeks), Local LLM deployment (4-6 weeks), Full HCCS framework implementation (8-12 weeks), Custom compliance automation (6-10 weeks). We use agile methodology with regular checkpoints and can often deliver initial value within 2-3 weeks.

Yes, we offer ongoing support through monthly retainers that include: monitoring and incident response, performance optimization, model updates and improvements, workflow adjustments, and compliance documentation updates. We also provide training for your team to manage and extend the AI systems independently.

Absolutely. We specialize in integrating AI into existing technology stacks. We've worked with Salesforce, HubSpot, Keap, custom CRMs, PostgreSQL, Snowflake, various ERP systems, and custom APIs. Our architecture is designed to augment your current infrastructure, not replace it.

During our AI audit call, we'll discuss your current operations, compliance requirements, and automation goals. We'll identify high-impact opportunities for AI automation, assess your technical readiness, recommend appropriate models and architecture, and provide a roadmap with timelines and investment estimates. It's a free consultation with no obligation.