DLG Agent Launch
Design and introduce a governed AI agent for a defined business workflow with permissions, tools and escalation.
What the engagement can cover
Agent role and boundaries
Defined in relation to the organisation, selected workflow and evidence available.
Knowledge and tool mapping
Defined in relation to the organisation, selected workflow and evidence available.
Permission design
Defined in relation to the organisation, selected workflow and evidence available.
Human approval and escalation
Defined in relation to the organisation, selected workflow and evidence available.
Evaluation and monitoring
Defined in relation to the organisation, selected workflow and evidence available.
Adoption and operating guidance
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 Agent Launch
Share the organisation, current challenge, intended outcome and timeframe.
Request a scoping conversation