Establish proportionate AI governance, evidence, vendor diligence, oversight and accountability.
DataLgorithmics can support strategy, discovery, architecture, implementation, governance, skills and ongoing value realisation in one connected engagement.
Start with the questions that matter
AI inventory
Translate this priority into a measurable operating decision, implementation requirement or governance control.
Risk and approval processes
Translate this priority into a measurable operating decision, implementation requirement or governance control.
Human oversight
Translate this priority into a measurable operating decision, implementation requirement or governance control.
Vendor/model diligence
Translate this priority into a measurable operating decision, implementation requirement or governance control.
Documentation and evidence
Translate this priority into a measurable operating decision, implementation requirement or governance control.
Monitoring and review
Translate this priority into a measurable operating decision, implementation requirement or governance control.
Recommended engagement path
Readiness, value, risk and constraints.
Rank use cases and investments.
Validate quality, economics and controls.
Integrate, govern and drive adoption.
Track value, risk and expansion.
Useful DataLgorithmics resources
AI Business Architect
Structure an initial transformation direction.
Open tool →Architecture Studio
Explore an indicative enterprise architecture.
Open studio →Vendor Scorecard
Structure procurement and diligence.
Open scorecard →Academy
Build executive and workforce capability.
Browse courses →Evidence Centre
Understand methodology and evidence standards.
Explore evidence →Intelligence Contract
Explore an ongoing enterprise relationship.
Explore contract →What a first engagement can produce
Discuss priorities for Legal, Risk & Compliance
Tell us your organisation, objectives, current maturity and most urgent decision.
Start a conversation