Catalogue › AI Centre of Excellence

CopilotForge - AI Centre of Excellence

Use it in Copilot Cowork: download the AI Centre of Excellence plugin for Copilot Cowork and upload it under Customize > Plugins > Upload plugin. How to install.

Orchestrate a business-owned AI Centre of Excellence covering charter, operating model, team, governance, opportunity flow, knowledge, cadence, RACI and value measurement.

Layer: spanning
Lead role: AI CoE Lead
Plugin name: copilotforge-ai-centre-of-excellence

Skill Status Lifecycle Description

coe-cadence draft Mobilise, Scale, Measure, Improve Sets the meeting cadence and terms of reference for an AI CoE - a weekly working group, monthly steering where the sponsor decides, a quarterly strategy review and a community forum - with agendas, a decision log and sizing by edition. Use when a new CoE needs its forums set up, when meetings have become status updates that decide nothing, or when decisions are being taken in corridors and nobody can find them later.

coe-champion-integration draft Mobilise, Enable, Scale, Improve Connects the Champions network to the AI Centre of Excellence - assigning the knowledge, process, adoption and AI Champion roles to CoE pillars, defining what each contributes to intake, knowledge upkeep, testing and stories, what they never approve, and how work and feedback flow both ways. Use when a CoE and a Champions programme run side by side without links, or when Champions have become the CoE's unpaid build team.

coe-charter draft Mobilise, Scale Drafts the charter for an AI Centre of Excellence - purpose, who owns what between the business, AI enablement and the sponsor, scope across the six pillars, decision rights, launch commitments and what the CoE is not - or the lighter terms of an AI working group. Use when leadership asks for an AI CoE, when a group has drifted into a reporting forum or request queue, or when a sponsor needs one page to agree before people are appointed.

coe-delivery-model draft Mobilise, Deliver, Assure, Launch, Scale Defines how the CoE actually builds and releases agents and automations once work is approved - delivery routes from self-service makers to CoE-assisted, CoE-built, partner and pro-code teams, a definition of ready and of done by risk tier, maker support, reusable patterns and handover to operations. Use when approved work has no clear way to get built, when makers and partners work differently, or when solutions go live unsupported.

coe-governance-model draft Mobilise, Assure, Launch, Improve Writes a proportionate AI governance framework and acceptable-use starter - five governance areas, progressive risk tiers 0 to 4 with minimum controls, an agent portfolio register with business, knowledge and technical owners, and reviewer gates - so low-risk experimentation is not blocked. Use when there is no approved AI policy, when departments build agents with no register or owner, or when governance is so heavy people work around it.

coe-knowledge-pillar draft Mobilise, Enable, Deliver, Improve Runs the CoE's knowledge management pillar - a pillar lead, the layered knowledge asset register, owners and review dates for the content agents rely on, a knowledge check in intake, knowledge champions, and a loop that turns agent failures into content fixes - applying the knowledge-management standards. Use when the pillar exists on paper only, when agents give outdated answers, or when nobody owns the content solutions ground on.

coe-kpi-framework draft Measure, Scale, Improve Builds a KPI framework and scorecard for an AI CoE across adoption, capability, portfolio flow, quality, governance and value, each measure with a baseline, target, source and owner, rolled up into a four-quadrant sponsor dashboard at team level. Use when a sponsor asks how they will know AI is working, when reporting relies on licence counts or hours saved, or when steering needs a scorecard before its first value review.

coe-launch-roadmap draft Mobilise, Launch, Deliver, Scale Turns an agreed CoE charter and operating model into a dated launch plan across the Establish, Foundation, Deliver and Scale phases - workstreams, milestones, exit criteria, quick-win selection, first-ninety-day actions, dependencies, launch communications and go or hold decisions at each phase boundary. Use when the CoE is approved and needs a plan to start, or when a launch has drifted with no clear next milestone.

coe-maturity-assessment draft Measure, Scale, Improve Assesses how mature a running AI Centre of Excellence is across sponsorship, team, opportunity pipeline, knowledge, delivery, governance, adoption and Champions, portfolio and value, using evidence from its own records, and sets the three to five next moves, including whether it is ready for spokes or federation. Use when a CoE has run for six months or more, at its annual review, or when the sponsor asks whether it is working.

coe-operating-model draft Mobilise, Scale, Improve Designs how an AI Centre of Excellence runs - a business-owned structure with sponsor, lead, core team, four Champion roles and central AI enablement support, its shape by edition, the collaboration space, the intake-to-delivery flow and a phased launch. Use when a charter is agreed and the CoE now needs people, routes and a workable flow, or when an existing CoE has become a bottleneck.

coe-opportunity-pipeline draft Envision, Mobilise, Deliver, Measure, Improve Runs the CoE's opportunity management pillar as a working pipeline - a pillar owner, stages from Identify to Improve with entry and exit criteria, the opportunity-management method used at each stage, triage rhythm, work-in-progress limits, service levels and pipeline health measures. Use when ideas pile up without decisions, when nobody owns the pillar, or when pilots start without passing through assessment.

coe-portfolio-management draft Deliver, Measure, Scale, Improve Manages the CoE's whole portfolio of live and planned agents, automations and AI solutions as one view - lifecycle state, owners, tier, value against hypothesis, run cost and review dates - finding duplicates to consolidate, patterns to reuse and solutions to retire, through a quarterly portfolio review. Use when nobody can say what is live or who owns it, when similar agents multiply, or when steering wants to know what the estate delivers.

coe-raci draft Mobilise, Scale, Improve Builds a role-based RACI for AI work across the opportunity lifecycle, governance decisions, knowledge ownership, release and value, with exactly one Accountable per activity and the business accountable for outcomes. Use when nobody can say who approves an agent, when IT is being held to account for business benefits, or when a new CoE needs clear responsibilities before its first steering meeting.

coe-readiness draft Discover, Mobilise Checks whether an organisation is ready to launch an AI Centre of Excellence - a sponsor who will decide, an owning business unit, a lead with real time, core team capacity, starting demand, knowledge owners, approved-use guidance and enablement support - and returns a launch, launch-with-conditions or not-yet verdict. Use when leadership wants a CoE before anyone has checked the preconditions, or when an earlier CoE attempt stalled.

coe-sponsor-role draft Mobilise, Launch, Improve Defines the executive sponsor's role in an AI Centre of Excellence - the decisions only the sponsor takes, time and attendance, a delegate with real authority, visible support for adoption, and what happens when sponsorship fades - and secures the sponsor's written commitment. Use when a CoE needs a sponsor, when the sponsor only receives reports, or when steering keeps deferring decisions upwards.

coe-team-design draft Mobilise, Scale, Improve Designs the people side of an AI Centre of Excellence - the lead, pillar leads and core team roles, specialists borrowed from security, data protection, architecture and partners, the skills each role needs, agreed time, sourcing and backfill - and writes the team's terms of reference. Use when the CoE shape is chosen and roles need filling, when the core team is all enthusiasts and no specialists, or when members have no agreed time.

coe-value-tracking draft Measure, Scale, Improve Runs the CoE's routine for tracking value delivered - a value ledger with one line per solution showing estimate at intake, baseline, measured result, method and confidence, a monthly update rhythm, roll-up to the sponsor scorecard and the value review, and honest treatment of attribution and unproven claims. Use when steering asks what the CoE has delivered, when value claims vary by teller, or when nobody revisits estimates after release.

Skill	Status	Lifecycle	Description
`coe-cadence`	draft	Mobilise, Scale, Measure, Improve	Sets the meeting cadence and terms of reference for an AI CoE - a weekly working group, monthly steering where the sponsor decides, a quarterly strategy review and a community forum - with agendas, a decision log and sizing by edition. Use when a new CoE needs its forums set up, when meetings have become status updates that decide nothing, or when decisions are being taken in corridors and nobody can find them later.
`coe-champion-integration`	draft	Mobilise, Enable, Scale, Improve	Connects the Champions network to the AI Centre of Excellence - assigning the knowledge, process, adoption and AI Champion roles to CoE pillars, defining what each contributes to intake, knowledge upkeep, testing and stories, what they never approve, and how work and feedback flow both ways. Use when a CoE and a Champions programme run side by side without links, or when Champions have become the CoE's unpaid build team.
`coe-charter`	draft	Mobilise, Scale	Drafts the charter for an AI Centre of Excellence - purpose, who owns what between the business, AI enablement and the sponsor, scope across the six pillars, decision rights, launch commitments and what the CoE is not - or the lighter terms of an AI working group. Use when leadership asks for an AI CoE, when a group has drifted into a reporting forum or request queue, or when a sponsor needs one page to agree before people are appointed.
`coe-delivery-model`	draft	Mobilise, Deliver, Assure, Launch, Scale	Defines how the CoE actually builds and releases agents and automations once work is approved - delivery routes from self-service makers to CoE-assisted, CoE-built, partner and pro-code teams, a definition of ready and of done by risk tier, maker support, reusable patterns and handover to operations. Use when approved work has no clear way to get built, when makers and partners work differently, or when solutions go live unsupported.
`coe-governance-model`	draft	Mobilise, Assure, Launch, Improve	Writes a proportionate AI governance framework and acceptable-use starter - five governance areas, progressive risk tiers 0 to 4 with minimum controls, an agent portfolio register with business, knowledge and technical owners, and reviewer gates - so low-risk experimentation is not blocked. Use when there is no approved AI policy, when departments build agents with no register or owner, or when governance is so heavy people work around it.
`coe-knowledge-pillar`	draft	Mobilise, Enable, Deliver, Improve	Runs the CoE's knowledge management pillar - a pillar lead, the layered knowledge asset register, owners and review dates for the content agents rely on, a knowledge check in intake, knowledge champions, and a loop that turns agent failures into content fixes - applying the knowledge-management standards. Use when the pillar exists on paper only, when agents give outdated answers, or when nobody owns the content solutions ground on.
`coe-kpi-framework`	draft	Measure, Scale, Improve	Builds a KPI framework and scorecard for an AI CoE across adoption, capability, portfolio flow, quality, governance and value, each measure with a baseline, target, source and owner, rolled up into a four-quadrant sponsor dashboard at team level. Use when a sponsor asks how they will know AI is working, when reporting relies on licence counts or hours saved, or when steering needs a scorecard before its first value review.
`coe-launch-roadmap`	draft	Mobilise, Launch, Deliver, Scale	Turns an agreed CoE charter and operating model into a dated launch plan across the Establish, Foundation, Deliver and Scale phases - workstreams, milestones, exit criteria, quick-win selection, first-ninety-day actions, dependencies, launch communications and go or hold decisions at each phase boundary. Use when the CoE is approved and needs a plan to start, or when a launch has drifted with no clear next milestone.
`coe-maturity-assessment`	draft	Measure, Scale, Improve	Assesses how mature a running AI Centre of Excellence is across sponsorship, team, opportunity pipeline, knowledge, delivery, governance, adoption and Champions, portfolio and value, using evidence from its own records, and sets the three to five next moves, including whether it is ready for spokes or federation. Use when a CoE has run for six months or more, at its annual review, or when the sponsor asks whether it is working.
`coe-operating-model`	draft	Mobilise, Scale, Improve	Designs how an AI Centre of Excellence runs - a business-owned structure with sponsor, lead, core team, four Champion roles and central AI enablement support, its shape by edition, the collaboration space, the intake-to-delivery flow and a phased launch. Use when a charter is agreed and the CoE now needs people, routes and a workable flow, or when an existing CoE has become a bottleneck.
`coe-opportunity-pipeline`	draft	Envision, Mobilise, Deliver, Measure, Improve	Runs the CoE's opportunity management pillar as a working pipeline - a pillar owner, stages from Identify to Improve with entry and exit criteria, the opportunity-management method used at each stage, triage rhythm, work-in-progress limits, service levels and pipeline health measures. Use when ideas pile up without decisions, when nobody owns the pillar, or when pilots start without passing through assessment.
`coe-portfolio-management`	draft	Deliver, Measure, Scale, Improve	Manages the CoE's whole portfolio of live and planned agents, automations and AI solutions as one view - lifecycle state, owners, tier, value against hypothesis, run cost and review dates - finding duplicates to consolidate, patterns to reuse and solutions to retire, through a quarterly portfolio review. Use when nobody can say what is live or who owns it, when similar agents multiply, or when steering wants to know what the estate delivers.
`coe-raci`	draft	Mobilise, Scale, Improve	Builds a role-based RACI for AI work across the opportunity lifecycle, governance decisions, knowledge ownership, release and value, with exactly one Accountable per activity and the business accountable for outcomes. Use when nobody can say who approves an agent, when IT is being held to account for business benefits, or when a new CoE needs clear responsibilities before its first steering meeting.
`coe-readiness`	draft	Discover, Mobilise	Checks whether an organisation is ready to launch an AI Centre of Excellence - a sponsor who will decide, an owning business unit, a lead with real time, core team capacity, starting demand, knowledge owners, approved-use guidance and enablement support - and returns a launch, launch-with-conditions or not-yet verdict. Use when leadership wants a CoE before anyone has checked the preconditions, or when an earlier CoE attempt stalled.
`coe-sponsor-role`	draft	Mobilise, Launch, Improve	Defines the executive sponsor's role in an AI Centre of Excellence - the decisions only the sponsor takes, time and attendance, a delegate with real authority, visible support for adoption, and what happens when sponsorship fades - and secures the sponsor's written commitment. Use when a CoE needs a sponsor, when the sponsor only receives reports, or when steering keeps deferring decisions upwards.
`coe-team-design`	draft	Mobilise, Scale, Improve	Designs the people side of an AI Centre of Excellence - the lead, pillar leads and core team roles, specialists borrowed from security, data protection, architecture and partners, the skills each role needs, agreed time, sourcing and backfill - and writes the team's terms of reference. Use when the CoE shape is chosen and roles need filling, when the core team is all enthusiasts and no specialists, or when members have no agreed time.
`coe-value-tracking`	draft	Measure, Scale, Improve	Runs the CoE's routine for tracking value delivered - a value ledger with one line per solution showing estimate at intake, baseline, measured result, method and confidence, a monthly update rhythm, roll-up to the sponsor scorecard and the value review, and honest treatment of attribution and unproven claims. Use when steering asks what the CoE has delivered, when value claims vary by teller, or when nobody revisits estimates after release.

Credit

Created by Simon Foote as part of CopilotForge. Content is licensed under CC BY 4.0; keep the credit in each skill's license and authors fields when you share or adapt it. See NOTICE.md in the repository.