AI Management Value Stream Catalog: AI-Ready Edition

AI Management Value Stream Catalog: AI-Ready Edition catalogs the end-to-end work of AI management for architects and transformation leads in financial services firms: 12 value streams in 60 stages, each running from a trigger to a result. Every stage is set out twice, as it runs today and as it could run AI-native, with the target AI mode, the agents involved and the checkpoint where a person decides. The catalog is taken from AI Management Business Architecture Package: AI Transformation Blueprint and sold on its own.

The Catalog

Each entry names the stream, its number of stages and the outcome it delivers.

• AI Ambition to Funded AI Portfolio (5 stages). Outcome: An enterprise AI portfolio funded against the organization's strategy and its readiness, balanced across functions, risk tiers and horizons, and reported to leadership and the board in measures they can follow.
• AI Idea to Approved Use Case (5 stages). Outcome: One predictable route from an idea to a decision, with every use case recorded, tiered by one method, assessed for its effect on people and the business, and decided by the person the decision rights name.
• Approved Use Case to Model in Production (5 stages). Outcome: A model that does what its process needs, built on accepted data, tested, independently validated where its tier requires and released by a person other than its builder, with monitoring and a fallback in place from the first day.
• Model Need to Sourced and Adapted Model (5 stages). Outcome: Purchased and adapted models chosen by the sourcing approach, assessed against the requirements and tier, adapted on approved data and knowledge, safeguarded, and accepted under the same standard as models built in house.
• Agent Concept to Agent in Operation (5 stages). Outcome: Agents that do the work they were designed for under their own identity, within written authority limits, with a named human owner, a registry entry and a tested way to stop them.
• Agent Work Request to Completed Outcome (5 stages). Outcome: Work completed by agents within their written limits, with every decision that belongs to a person reaching one in time, every action recorded, and failures, conflicts and costs found and acted on.
• Model in Production to Retired Model (5 stages). Outcome: Models that keep working as their process needs: monitored to their tier's standard, changed only under control, recoverable, efficient, and retired without harming the processes that depend on them.
• AI Incident Detected to Lessons Applied (5 stages). Outcome: AI incidents contained quickly by the people entitled to act, investigated from the activity record, the people affected put right, outside disclosure decided by the accountable people, and the lesson applied across functions.
• AI-Informed Decision to Explained and Corrected Outcome (5 stages). Outcome: People told when AI informs a decision about them, able to understand it, have a person review it and see it corrected when it was wrong, with faults fixed at their source.
• AI Provider Need to Assured Provider (5 stages). Outcome: AI providers recommended on AI grounds, contracted under AI-specific terms, reviewed against their commitments, their model changes assessed before they take effect, and every provider replaceable.
• AI Skills Need to Capable Workforce (5 stages). Outcome: A workforce that understands AI and follows the rules for using it, practitioners accredited for their AI roles, and an operating model adjusted as the portfolio grows.
• AI Standard Set to Assured Practice (5 stages). Outcome: One clear method every function applies to its own AI decisions, rules embedded in the work, evidence that every function follows them, and decisions that cross functions resolved by the person entitled to decide.

In the Download

Three files carry the same catalog: a deck for presenting, a workbook for analysis and a guide for reading.

• Stream and stage detail: steps, stakeholders, entry and exit criteria, and the capabilities that enable each stage
• At each stage: current pain points, the AI-native design, agents, target AI mode, human checkpoint and KPIs
• A further 21 standard AI management value streams, steps included, kept as a reference set of common processes
• Value Streams deck (PowerPoint), with each stream as a flow and then one stage at a time
• Workbook (Excel), with the streams and stages in sheets to filter and extend
• Guide (Word), covering the AI mode, human oversight, risk tier and work pattern scales, each stream in prose, and the license
• Corrections free of charge, and new versions free for 180 days after purchase

Your organization's name and license ID are printed in every file.

Who It Is For

Process owners redesigning AI management work, transformation leads planning from a future-state view, and architects linking value streams to capabilities.

With the Other Editions

The AI Management Capability Matrix: AI-Ready Edition defines the capabilities each stage names, and AI Management Business Architecture Package: AI Transformation Blueprint specifies the agents and adds the data model, use cases, controls, operating model and roadmap. The AI Management Business Information Model is sold on its own as well.

Target AI modes reflect a typical large enterprise; treat them as a first draft of your own.