AI AND DATA

Decisions, supported by evidence.

A model earns its place when a decision improves. Work begins from the decision being made, the evidence currently available to it, and what would have to change for the outcome to be better.

Capability

Decisions, supported by evidence.

Decision Mapping

The decision, its owner, its frequency and its current basis established before any system is specified.

Data Readiness

Source systems, quality, coverage and lineage assessed honestly. Most initiatives fail here rather than at the model.

Model and Method

The simplest method that answers the question. Statistical approaches are preferred where they suffice.

Human Oversight

Where an output informs a consequential decision, the reviewing role and escalation route are defined as part of the design.

Measurement

A baseline is recorded before deployment so the change can be evidenced rather than asserted.

Governance

Data residency, retention, access control and auditability specified against the applicable regime.

What a credible initiative brief includes
  • The decision or process to be improved
  • Who uses the system and how often
  • Existing systems and data sources
  • Constraints: regulatory, security, residency
  • Success measure
  • Budget envelope
  • Decision timetable
DISCLAIMER

Technology descriptions represent areas of capability and development interest. Availability, ownership, licensing and delivery model depend on the specific solution and may involve third-party platforms, developers and specialist partners.

Start from the decision.

The right system follows the requirement, rarely the other way.