What makes AI Hive different from other AI agent platforms — and where it actually matters

Most AI agent tools give you a builder and leave the rest to you. Governance, deployment flexibility, model choice — these become your problem to solve after the fact.

AI Hive takes a different approach. A few things that stand out compared to platforms like Kore.ai or standard workflow tools:

• Model flexibility — you can assign a different LLM (GPT-4o, Claude, Gemini, Llama) per agent, per task. Most platforms lock you into one.

• Deployment options — cloud, on-premise, or white-label. This matters a lot for teams in regulated industries where data can't leave their own infrastructure.

• Compliance built in by default — PII masking, audit trails, RBAC, and GDPR/HIPAA readiness are standard, not add-ons.

• Engineers included — not just a platform license. If your team doesn't have AI specialists in-house, you can work directly with the AI Hive engineering team.

Happy to answer questions about specific use cases, integrations, or how deployment works in practice.