Service 06

AI governance that supports responsible progress

Build proportionate guardrails for AI products, decisions, data, accountability, and human oversight without making responsible practice an afterthought.

How we can help

Discuss your challenge

Governance is most useful when it helps people make better decisions at the right moments. One+i works with leaders and delivery teams to clarify risks, define ownership, establish review practices, and connect governance to architecture, evaluation, procurement, and adoption.

Typical areas of work

AI use-case and risk assessment
Responsible AI principles translated into practice
Privacy, safety, evaluation, and human oversight
Technical leadership, documentation, and accountability

Topics in focus

Current themes shaping this work.

These are the practical themes we consider as technology, operating models, and expectations around AI continue to evolve.

Lifecycle AI governance and model risk management
Agent safety, tool authorization, and human oversight
Evaluation, red teaming, provenance, and incident response
Privacy, security, transparency, and AI literacy

Who this is for

A useful engagement starts with the context around the decision.

Leaders, risk owners, product teams, and technical teams responsible for making AI use safe, accountable, and workable in an organization.

What you can leave with

A proportionate view of risks, controls, owners, and review points
Governance practices connected to product, architecture, evaluation, and operations
Clearer evidence for launch, monitoring, escalation, and ongoing improvement

Keep exploring the question.

Read more from the One+i journal, then start a conversation about the context behind your work.

Back to all services