AI, DATA & INTELLIGENT AUTOMATION

Turn AI from experimentation into practical business capability.

A distinct core solution for AI, data and intelligent automation, with AI Readiness Assessment as the approved entry offer.

AI Readiness Assessment

BUSINESS OUTCOME ARCHITECTURE
01

Start with clarity

Use Strategy & Advisory to clarify the outcome, readiness, priorities and practical scope before major commitment.

  • Strategy & Advisory
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02

Defined entry offer

AI Readiness Assessment

  • Approved starting offer from Commercial Strategy v1.0
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03

Deliver and improve

Connect delivery with Managed Services / Continuous Improvement so the solution can be measured, learned from and improved after launch.

  • Delivery → Managed Services / Continuous Improvement
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BUSINESS PROBLEM

When AI experiments are disconnected from governed data, real workflows and accountable decisions

AI can remain a demonstration rather than a business capability when use cases are vague, data access is unreliable, evaluation is undefined, and no one owns the decision or workflow around the model.

DECISION CONTEXT

Decision context

Use this solution when the business needs to decide which AI or data use case is worth operationalizing, what data and permissions are required, where human review remains necessary, and how usefulness will be evaluated.

SOLUTION VALUE

Solution-specific value proposition

Connect governed data, analytics, AI assistance and intelligent automation to a defined decision or workflow, with explicit evaluation criteria and human accountability for consequential actions.

CAPABILITIES

Capabilities around practical AI

01

Data readiness, quality, access and governance

02

Decision-focused analytics and evaluation design

03

AI-assisted knowledge, content and service workflows

04

Intelligent automation with permissions, review and feedback loops

ASSESSMENT ENTRY

AI Readiness Assessment

Use the approved assessment to examine data, use cases, governance, workflow fit and the conditions required for practical AI adoption.

Start the AI Readiness Assessment

PROOF / WORK

Proof / Work mapping

Direct solution-specific public proof for AI, Data & Intelligent Automation is not yet established in the current Work authority. Existing capability proof must not be re-labeled as an AI business outcome without supporting evidence.

Review current verified Work boundaries

DELIVERY APPROACH

Delivery approach

  • Frame the use case, decision owner, data boundary and risk
  • Build a bounded workflow or evaluation candidate using approved data access
  • Evaluate quality, failure modes, human review and operational fit before expanding

INSIGHTS

Related Insight

The Latest Waves in AI explains why value depends on connecting models to trusted data, human review, permissions and measurable workflows rather than on the model alone.

Read The Latest Waves in AI

START WITH THE OUTCOME

Turn the next decision into a practical first move.

Start with the business outcome, then choose the assessment, workshop or delivery path that fits the decision.

Start with an Assessment