DLG Department Transformation
Redesign a department around connected AI, data, automation and capability rather than isolated tools.
What the engagement can cover
Department process portfolio
Defined in relation to the organisation, selected workflow and evidence available.
Opportunity prioritisation
Defined in relation to the organisation, selected workflow and evidence available.
Agent and automation design
Defined in relation to the organisation, selected workflow and evidence available.
Data/integration requirements
Defined in relation to the organisation, selected workflow and evidence available.
Governance and role changes
Defined in relation to the organisation, selected workflow and evidence available.
Workforce capability programme
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 Department Transformation
Share the organisation, current challenge, intended outcome and timeframe.
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