Apolo agents point at sales-communication risk monitoring, client onboarding, vendor compliance, trust-document reference, and internal research, all deployed inside your environment. No third-party LLM providers in the loop.
Each agent runs inside your environment, on your data, with the audit trail your compliance team needs.
Monitor sales emails for tone, escalation, and policy deviation. Surface deal health and risk before clients disengage.
Conversational client onboarding. KYC and compliance checks behind the scenes. CRM sync via API. Information entered once.
Vendor onboarding and compliance tracking, end-to-end. Background checks. Renewal tracking. CRM and ERM sync.
Cited reference into your trust and estate document library. Returns the exact excerpt and source. Less re-reading.
Client communications must be supervised. Onboarding collects the same documents five times. Trust documents hold answers nobody can find quickly. Every one of these workflows touches data that cannot leave your environment, which is exactly why generic AI tools never got past your security review.
No. It is a manager-facing early-warning layer for relationship risk and guideline adherence. It complements your recordkeeping and surveillance stack; the manager decides.
PrivateGPT runs entirely inside your network on open-weight models, access-controlled, with nothing shared externally.
ISO 27001 and SOC 2 Type 2, with on-prem, sovereign, or customer-cloud deployment.
Tell us which workflow needs to stay private: sales communication, KYC, vendor compliance, trust documents. We'll show you the agent on your data, in your environment.