DLG Enterprise Transformation
Coordinate AI strategy, architecture, governance, portfolio, workforce and value across the organisation.
What the engagement can cover
Enterprise AI strategy
Defined in relation to the organisation, selected workflow and evidence available.
AI portfolio and operating model
Defined in relation to the organisation, selected workflow and evidence available.
Data and integration architecture
Defined in relation to the organisation, selected workflow and evidence available.
Governance and trust
Defined in relation to the organisation, selected workflow and evidence available.
Workforce adoption
Defined in relation to the organisation, selected workflow and evidence available.
Value realisation and executive review
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 Enterprise Transformation
Share the organisation, current challenge, intended outcome and timeframe.
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