DLG Workforce AI
Build practical role-based AI capability while establishing safe, repeatable ways of working.
What the engagement can cover
Role and capability mapping
Defined in relation to the organisation, selected workflow and evidence available.
Executive and manager learning
Defined in relation to the organisation, selected workflow and evidence available.
Business-user AI skills
Defined in relation to the organisation, selected workflow and evidence available.
Technical pathways
Defined in relation to the organisation, selected workflow and evidence available.
Governance and acceptable use
Defined in relation to the organisation, selected workflow and evidence available.
Applied adoption activities
Defined in relation to the organisation, selected workflow and evidence available.
Typical outputs
How decisions are made
Agree objective and constraints.
Gather the minimum evidence required.
Develop the proposed approach.
Test against quality, value and risk.
Stop, adapt, deploy or scale.
What DataLgorithmics does not assume
Scope, duration, technology choices, commercial terms and expected benefits are not fixed in advance. They depend on the organisation, selected use case, data, integration requirements, risk, delivery model and evidence gathered during the engagement.
Connect learning with delivery
Engagements can be combined with Academy pathways so executives, business teams, engineers and governance functions build the capability needed to operate the resulting systems.
Explore Academy pathwaysDiscuss DLG Workforce AI
Share the organisation, current challenge, intended outcome and timeframe.
Request a scoping conversation