AI Governance & Responsible AI Services

AI governance is the operating system — inventory, risk tiers, approvals, monitoring, and audit evidence — that makes responsible use enforceable. Ethics principles set intent; governance turns that intent into repeatable controls and accountable owners.

If you already have production or customer-facing AI, governance should start now — even a lightweight inventory and risk tiering reduces audit and incident exposure. Greenfield programmes can embed governance from the first use case rather than retrofitting later.

Most organisations reach a usable framework, inventory, and operating cadence in 6–10 weeks. Large multi-business-unit inventories or regulatory remediation programmes can extend to 12–16 weeks.

Framework and operating-model engagements commonly range from $60,000 to $180,000 depending on inventory size, regulatory depth, and number of business units. Implementation of tooling and remediation is scoped separately.

Well-designed governance speeds delivery for low-risk work with clear fast paths, and concentrates review time on high-impact systems. The goal is proportional control — not a single heavyweight gate for every experiment.

We treat buy and embed models as first-class inventory items: data-use terms, sub-processors, residual risk acceptance, and monitoring expectations are documented before production use — same standard as internally trained models.

Yes. We map your use cases to risk categories, identify high-risk obligations (documentation, human oversight, monitoring), and produce practical evidence packs. We do not replace legal counsel; we operationalise what counsel and risk require.

MLOps covers technical lifecycle — training, deployment, monitoring pipelines. AI governance covers risk ownership, approval policy, and accountability. Most mature programmes need both; we often sequence governance design alongside MLOps hardening.

If you lack a clear inventory or maturity baseline, an AI readiness assessment is the fastest way to prioritise. If leadership already knows governance is the gap, we can scope a governance engagement directly.

You do. We design the RACI, artefacts, and cadence so risk, product, and engineering can run the programme. Optional retainers cover quarterly reviews and new-use-case assessments — not perpetual ownership of your controls.

Every engagement starts under mutual NDA. Financial services, healthcare, and insurance programmes routinely include additional confidentiality and data-handling schedules before any system inventory begins.

Yes. Prompted systems, RAG applications, and autonomous agents are inventoried and risk-tiered with controls for grounding, tool use, and human escalation — not only classical scored models.