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.
CoachBot infrastructure
Governance layer — always on, never negotiable.
Guardrails
System prompt & custom moderation
01AI security
Pen testing, external security review, and ongoing vulnerability monitoring.
02Layered memory
User administers their own settings
03Multi-LLM
Multi-LLM selection (incl. EU models) · Bring your own key (BYOK) · No lock-in
04Certification
ISO27001 and SOC2 Type 2 — September 2026 audit scheduled.
05EU hosted
GDPR · EU AI Act · No model fine-tuning on client data
06AI 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.
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.
YOUR COACHING
Provider layer — your methodology, your brand, your rules.
A governance-grade feature stack built for coaching providers and enterprise L&D — not retrofitted from a generic AI platform.
Methodology flows
Node-based studio, multi-prompt & analyzers
01Deployment configuration
Web app, API, or SSO integration — deploy to your infrastructure or ours.
02Governance & compliance
T&Cs, DPA, disclaimers
03Custom evals
Provider-defined quality criteria — measure what actually matters to your organization.
04Prompt governance
IP-protected methodology encoding — your frameworks stay yours. No external model training on your content.
05Role-based access & Layered Privacy
Coachee-controlled sharing, granular role permissions across coaches, admins, and HR — privacy by architecture, not policy.
06Employees 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 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.
END USER
Individual or organization — coached, protected, in control.
Every right the coachee has is built into the architecture, not added as an afterthought.
Disclaimers & consent
Confirmed at app entry — employees know what they're agreeing to before they start.
01Contractual framework
T&Cs and privacy policy — signed on account creation, re-confirmed on changes.
02Chat history
Full access to own conversation history — employees own their data.
03Data sovereignty
Delete individual conversations or full account at any time. No retention without consent.
04Sharing options
Controlled per conversation — employees decide what reaches their coach or HR.
05Memory control (coming soon)
User-administered memory settings — employees will control exactly what the AI retains about them across conversations.
06Built for enterprise procurement. Let's talk.
Enterprise procurement and legal teams can request additional documentation or book a governance conversation with our team.
Get in touch