An executive assistant built around purpose, evidence and approval.
Structure high-value executive work requests without pretending that unsupervised AI should make or execute material decisions.
Every request carries context.
Support the work around decisions, not just generic chat.
Board decision brief
Assemble approved evidence, assumptions, options, risks, trade-offs and unresolved questions for human review.
Scenario synthesis
Summarise registered scenarios, triggers and response plans into an executive review pack.
Renewal value brief
Bring together adoption, outcomes, value evidence, open issues and expansion options before a customer review.
AI governance review
Prepare a structured view of AI use cases, owners, oversight, data exposure, review dates and unresolved actions.
Executive meeting prep
Surface priority slippage, pending decisions, overdue approvals and outcome movement without inventing explanations.
Learning-to-action bridge
Translate completed executive learning into practical application prompts tied to real priorities and outcomes.
Source policy
Define which CEOBAL records, uploaded enterprise sources or approved connected systems may be used. Sensitive sources should be explicitly classified and authorised.
Human review policy
Standard summaries may require light review; high-impact recommendations should identify reviewer role, evidence gaps and approval status before use.
Action policy
Drafting and recommendation are separate from execution. Sending, signing, paying, provisioning or changing access should require an authenticated production workflow with explicit controls.
Commercial deployment
Possible charges include discovery/scoping, assistant design, approved-source mapping, governance policy, integration setup, annual platform licence, model/API consumption, support and periodic control reviews.