AI pilots without safety governance
Teams experiment with copilots, agents and dashboards, but decision rights, assurance boundaries and failure modes remain unclear.
A 2-3 week executive advisory sprint for organisations adopting AI in safety-critical operations. The output is a credible readiness view, use-case map and 90-day pilot roadmap.
Teams experiment with copilots, agents and dashboards, but decision rights, assurance boundaries and failure modes remain unclear.
The diagnostic separates impressive demos from repeatable workflows that improve knowledge, risk, training or assurance outcomes.
Executives need a practical pilot plan that is easy to explain, govern and fund.
Clarify the business context, operational risk profile, AI ambition and stakeholder expectations.
Review current workflows, data, governance, people capability, assurance routines and implementation constraints.
Prioritise use cases and define guardrails, ownership, evidence standards and approval logic.
Deliver a practical pilot plan with milestones, metrics, risks, communication rhythm and next investment logic.
EHS, risk, operations, HR/L&D, innovation and assurance leaders working on AI-enabled safety transformation.
A concise executive narrative backed by workflow, governance and implementation detail.
No. Corporate buyers should book a discovery call first so the diagnostic scope, stakeholders and expected outputs are clear before any commercial proposal.
It produces a readiness view, priority use-case map, governance recommendations and a credible 90-day AI safety pilot roadmap.
Prepare your current AI pilots, EHS pain points, available data sources, governance concerns and the business question leaders need answered.
Corporate buyers should scope the diagnostic before payment. Paid advisory can follow once scope, stakeholders and expected outputs are clear.