RESPONSIBLE AI
Built on clear principles. Not just compliance.
CoachBot's approach to AI in coaching is grounded in four non-negotiable commitments — and a governance structure that keeps them current.
Responsible AI and Quality Council
Our council actively monitors emerging research in AI coaching, anthropomorphism, and LLM governance — ensuring these commitments stay current, not just compliant.
THE PROBLEM
AI coaching needs a shared governance model. Most platforms don't offer one.
With most AI coaching tools, the vendor controls the system prompt and the organization has no visibility or input. There is no shared governance — just vendor lock-in.
THE COACHBOT MODEL
Shared responsibility. Clear accountability at every layer.
CoachBot owns the infrastructure layer — guardrails, compliance, and security that cannot be switched off. You own the coaching layer — your methodology, your brand, your quality standards. Accountability is clear at every level.
Governance layer — always on, never negotiable.
Guardrails
System prompt & custom moderation
AI security
Pen testing, external security review, and ongoing vulnerability monitoring.
Layered memory
User administers their own settings
Multi-LLM
Multi-LLM selection (incl. EU models) · Bring your own key (BYOK) · No lock-in
Certification
ISO27001/SOC2 in progress
EU hosted
GDPR · EU AI Act · No model fine-tuning on client data
THE RISK
Employees won't use tools they don't trust.
If employees suspect their conversations are monitored or shared without consent, they disengage. The coaching value disappears — and so does the ROI.
THE COACHBOT APPROACH
The employee is in control. Always.
Every coachee decides what their coach or HR can see. Nothing is shared without explicit consent. Trust isn't a feature — it's the foundation the whole system is built on.
Built for enterprise procurement. Let's talk.
Enterprise procurement and legal teams can request additional documentation or book a governance conversation with our team.