MLL Workstation Engineering Services (MLL WESS) Development Commitment and Build-Readiness Framework

Controlled Development Commitment, Capacity Governance, Copilot Governance Alignment, Manual Preflight Harness, Agent Boundary, Repo-Seed, and Build-Readiness Handoff v0.4.2

Status: v0.4.2 commitment-model reframing release with company Copilot governance alignment and manual preflight harness.
Source baseline: v0.3.3 showpiece package, v0.2.1 team adaptation, Enterprise Architecture pattern, and Master Context Canvas v0.3.
Primary purpose: protect fast experimentation while governing the point where ideas ask for scarce team capacity, contractor effort, Jira epics, service-stack change, recurring use, governance routing, or durable support.

Executive boundary

This framework is not intended to reduce engineering autonomy. It separates experimentation from capacity commitment.

Engineers, lifecycle leads, operations leads, and technical owners should continue to propose ideas, explore improvements, challenge assumptions, and shape solutions. The change is that shared team capacity, contractor effort, Jira epics, service-stack changes, durable tooling, automation, agents, and operational dependencies require clearer entry criteria before they consume meaningful time or become part of how the service runs.

Jira is not approval. Silence is not approval. Developer enthusiasm is not priority. Useful is not operationalized.

Executive thesis

The core operating principle is direct:

Experiment freely. Productize deliberately.

A prototype can start from curiosity. A time-boxed feasibility check can answer one specific unknown. A preflight-approved proof starts only after the work is shown to be worth limited team capacity. An operationalized capability requires ownership, value, sustainment, support model, governance routing, and a decision record.

The adapted operating model preserves the EA package pattern: define the decision brain before building the interface or backlog. For MLL WESS, the "brain" is not architecture review policy. It is development investment discipline: value, capacity, ownership, governance routing, sustainment, stop conditions, and backlog-entry readiness.

1. Problem we are solving

MLL WESS is a small, capacity-constrained team. Development ideas, automations, tools, agents, dashboards, and workflow improvements can emerge quickly, especially as AI and Copilot-style tools make prototyping easier.

The risk is not that people experiment. The risk is that experiments quietly become team obligations, service-stack dependencies, contractor work, Jira epics, or recurring operational tools without a clear value case, owner, support model, or alignment to management priorities.

Current risk pattern

The business problem is not a lack of ideas. The business problem is choosing which ideas deserve scarce capacity and preventing unapproved work from becoming operational debt.

2. Team context and capacity reality

MLL WESS operates with approximately three FTE including the service owner, plus a global contractor pool split across operations and project work. The team carries ongoing lifecycle and operational obligations while facing cost pressure and management expectations to drive efficiency.

Internal build does not mean free

Internal build must account for:

• employee product-owner time
• employee technical lead time
• contractor development time
• contractor support or maintenance time
• operations support time
• documentation and handoff time
• governance and administrative time
• recurring sustainment time
• dependency time from Information Security Risk Management (ISRM), Enterprise Technical Quality (TQ), privacy, platform, architecture, or service owners

If work consumes 30% of a person’s time, it is cost, whether the person is an employee or a contractor. Accounting may hide it. Reality does not.

3. Management priority lens

The team is under cost pressure. Development investment should be evaluated against current management priorities, and value should be classified before it is judged. Common triggers include support load, reliability, security, compliance, lifecycle obligations, and funded commitments.

Value classification

Useful work is not automatically priority work.

All value classes matter, but not equally in every business climate. When the immediate decision context is an OPEX reduction mandate, direct savings from an accountable operational budget may be the only class that materially changes the decision.

Work that benefits another team, site, business area, or external P&L may still be valuable, but it requires a sponsor, benefit owner, leadership alignment, or explicit priority decision.

Owner roles

• Decision owner: decides whether the work clears the current line.
• Budget owner: owns the operating budget, contractor spend, or capacity being affected.
• Benefiting owner: receives the service, cost, risk, or quality benefit if the claim is true.
• Evidence owner: owns the numbers, baseline, or operational proof behind the claim.

Outcome Acceptance Line

The Outcome Acceptance Line is the current threshold for approved work. A proposal can have real value and still sit below the line. If it is below the line, the right action is usually sandbox, time-boxed feasibility, explicit leadership exception, parking, or rejection.

4. Cultural framing: autonomy with alignment

This framework is not intended to remove autonomy. It clarifies where autonomy applies and where alignment is required.

Autonomy remains strongest inside approved work

• Engineers shape implementation options.
• Operations and lifecycle leads identify constraints and risks.
• Technical leads shape build approach.
• Agent Jester or equivalent tooling may refine approved work into clear Jira stories and acceptance criteria.
• Responsible sandbox experimentation remains allowed.

Alignment is required before work becomes a team commitment

• no Jira epic or sustained development effort without preflight or approved exception
• no contractor capacity assigned to non-sandbox development or new solution work without capacity visibility and approval
• no service-stack or operational dependency without ownership and support assumptions
• no governance-sensitive work without appropriate routing
• no durable capability without named owner, value statement, support model, and stop or retirement condition

Consensus is preferred. When consensus is not possible, final priority and capacity decisions must align to accountable service ownership and management direction.

Decision-rights principle

Engineers and technical leads may recommend, shape, and execute approved work. They do not unilaterally approve portfolio priority, contractor capacity consumption, service-stack promotion, operationalization, sustainment commitment, governance-sensitive routing decisions, durable capability ownership, or work that consumes shared team capacity.

Development work, new solution work, new capability work, contractor-funded build activity, service-stack promotion, and operationalized capability decisions ultimately require approval from the MLL WESS team leader. Management-team service owners provide scope, feasibility, capacity, and operational input for their respective areas, but shared development capacity and new capability direction must remain aligned through the team-leader decision point.

5. Plain-English glossary

6. Lane model

6.1 Lane 1: Sandbox

Purpose: allow low-risk exploration without unnecessary friction.

Allowed work:

• personal experimentation
• local prototypes
• prompt exploration
• rough proof using mock data
• learning or investigation with no shared dependency

Constraints:

• no sensitive or restricted data
• no production dependency
• no service-stack reliance
• no contractor assignment unless approved
• no recurring team use
• no user rollout
• no Jira epic unless promoted

6.2 Lane 2: Time-Boxed Feasibility Check

Purpose: answer one specific uncertainty before deciding whether a preflight-approved proof is justified.

Default timebox: 4 to 16 hours unless explicitly approved.

Allowed work:

• narrow investigation
• throwaway prototype
• feasibility test
• connector check
• data viability check
• parsing or automation trigger check

Constraints:

• one question
• named owner
• timebox
• no rollout
• no implied sustainment
• no production dependency
• no user expectation
• no scope creep into build

6.3 Lane 3: Preflight-Approved Proof

Purpose: validate whether a limited build is worth continued investment.

Required before entry:

• preflight record
• PRD-lite or equivalent
• value/TCO note
• capacity estimate
• governance routing check
• stop condition
• proof plan

Not allowed:

• production use
• service-stack promotion
• open-ended development
• recurring dependency without operationalization gate

6.4 Lane 4: Operationalized Capability

Purpose: accept a tool, automation, agent, dashboard, workflow, or service into the team’s operating model.

Required before entry:

• named owner
• support model
• sustainment model
• documentation
• runbook or support guide
• lifecycle and change expectations
• monitoring or health check where appropriate
• retirement criteria
• governance approvals where triggered

7. Preflight-required triggers

Preflight is required if any of the following apply:

• more than 8 hours of employee or contractor effort
• any Jira epic
• any contractor development assignment for development or new solution work
• any recurring team use
• any service-stack impact
• any endpoint workflow impact
• any authentication, access, or permission dependency
• any automation that changes or influences service operations
• any reporting used for decisions
• any source-system integration
• any ISRM, TQ, privacy, platform, architecture, or service-owner trigger
• any work expected to persist beyond 30 days
• any work intended for users outside the builder
• any work presented as a management deliverable
• any work that creates an operational dependency

Jira epic rule

Any Jira epic for non-sandbox work requires one of:

• preflight record ID
• approved exception
• explicit classification as a time-boxed feasibility check

Contractor capacity rule

No contractor development assignment for non-sandbox development or new solution work without preflight approval or explicit exception.

8. Approval model

Preferred authority language:

Final priority and capacity decisions must align to the accountable service ownership and management direction.

9. Enforcement model

Start with a 30-day soft gate.

During soft gate:

• apply the framework to new work
• inventory existing work
• classify Agent Jester and other internal tools
• test the handoff from preflight to Agent Jester
• tune templates and schemas
• allow reasonable exceptions if documented

After 30 days, move to a hard gate for:

• Jira epics
• contractor capacity
• service-stack work
• operationalized capabilities
• governance-triggered work

10. Governance routing

Route before build or promotion if the work touches the following areas.

Information Security Risk Management (ISRM)

• security
• identity
• privileged access
• secrets
• endpoint protection
• network exposure
• vulnerability risk
• logging
• access controls
• security monitoring

Enterprise Technical Quality (TQ)

• quality
• GxP
• validation
• regulated process impact
• audit posture
• technical quality expectations

Privacy / legal / data governance

• PII
• PHI
• personal data
• retention
• access controls
• sensitive operational data
• data-sharing boundary

Platform / architecture

• enterprise platforms
• authentication
• Copilot Studio
• Azure/AWS
• APIs
• integrations
• source-system dependency
• architecture standards

Service owner / operations

• endpoint workflows
• backup
• patching
• lockdown
• support process
• operational reporting
• run-state monitoring
• service-stack dependencies

Management / capacity approval

• budget impact
• capacity impact
• contractor consumption
• priority tradeoff
• external benefit or sponsor dependency

11. Capacity accounting

Every preflight must estimate:

• product-owner/admin time
• technical lead time
• employee development time
• contractor development time
• contractor support or maintenance time
• operations/support time
• documentation and handoff time
• governance/admin time
• sustainment time
• dependency review time

Capacity estimate should include:

• total expected hours
• expected duration
• recurring monthly or quarterly burden
• employee versus contractor split
• named or placeholder resource type
• whether work displaces existing operational or project commitments

Rules:

• Contractor capacity is not free.
• Employee capacity is not free.
• Product-owner time is not free.
• Sustainment time is not free.

12. Sustainment classes

13. Anti-loophole controls

• No developer assignment, Jira epic, backlog commitment, or sustained contractor effort without a preflight record or approved exception.
• No service-stack work without owner and support assumptions.
• No recurring operational use without sustainment classification.
• No greater-good work above management priorities unless explicitly sponsored or approved.
• No contractor capacity treated as free capacity.
• No Jira story polish as a substitute for product/value discipline.
• No “we are just experimenting” claim after users, integrations, recurring usage, or service dependencies exist.
• No promotion from experiment to team utility or operational capability without a decision record.
• Silence is not approval.
• Jira is not approval.
• Developer enthusiasm is not priority.
• Retroactive preflight is remediation, not approval.

14. Exception and remediation model

Exceptions

Exceptions must be documented and time-bound.

Exception record must include:

• requestor
• reason
• gate being bypassed or deferred
• duration
• risk accepted
• approving person
• expiration date
• required follow-up

No permanent exception without owner, rationale, and review date.

Remediation

If work starts without proper preflight, create a remediation record.

A remediation record must capture:

• what was started
• who started it
• why it started
• current state
• capacity already consumed
• systems/data/workflows touched
• users or dependencies created
• risk introduced
• documentation gaps
• sustainment gaps
• decision needed

Possible remediation decisions:

• stop
• quarantine
• formalize
• convert to sandbox
• convert to time-boxed feasibility check
• require preflight before further work
• operationalize with support plan
• retire

A remediation record is not retroactive approval.

15. Stop and retirement criteria

Every preflight-approved proof and operationalized capability must define stop or retirement criteria.

Examples:

• no measurable adoption
• no measurable value
• support burden exceeds value
• owner cannot sustain it
• contractor dependency is too high
• data/source becomes stale
• management priority changes
• replacement capability exists
• run cost exceeds expected benefit
• governance risk exceeds value
• service owner withdraws support
• benefit owner does not sponsor continuation

16. Portfolio review cadence

Establish a lightweight monthly review at first.

Review should track:

• active sandbox items promoted for attention
• active time-boxed feasibility checks
• active preflights
• active preflight-approved proofs
• operationalized capabilities
• contractor capacity consumed
• employee capacity consumed
• value delivered
• blocked items
• parked items
• retired items
• exceptions
• remediation records
• Jester handoff records
• internal tool inventory status

Goal: maintain visibility without creating bureaucracy.

17. Internal agent and tool dogfooding requirement

Internal agents, tools, automations, dashboards, and service helpers are not exempt from this framework.

Core rule:

We must apply the same proportional rigor to our own internally developed tools that we expect other work to satisfy.

Useful does not mean operationalized. Liked does not mean trusted. Built does not mean approved. In use does not mean supported. Jira-ready does not mean investment-ready.

Internal tool status states

These states must not be collapsed.

Existing internal tool inventory

For each internal tool, agent, dashboard, automation, or script, capture:

• name
• purpose
• creator
• current users
• current usage level
• owner
• support model
• sustainment class
• data/systems touched
• governance triggers
• limitations
• known risks
• last reviewed date
• status: sandbox, useful but unofficial, preflight-required, approved proof, operationalized, retire/quarantine

Existing tools and agents receive an amnesty-style review. The goal is not blame. The goal is to decide what remains sandbox, what should be formalized, what needs support, what should be retired, and what should be quarantined.

18. Agent Jester finding and boundary

Agent Jester was assessed against the proposed framework.

Key finding:

Agent Jester is valuable but downstream.

Jester appears to be a structured ideation-to-backlog and story-quality assistant. It helps approved work become clear, testable, developer-ready backlog.

Jester does not currently provide full upstream investment governance. It does not validate:

• management-priority alignment
• value/TCO rigor
• direct OPEX classification
• employee/contractor capacity accounting
• product-owner/admin effort accounting
• governance routing
• ISRM trigger detection
• TQ trigger detection
• privacy/legal/data governance trigger detection
• platform/architecture trigger detection
• service-owner routing
• operational-readiness gating
• sustainment ownership
• benefit-owner mapping
• stop conditions
• anti-loophole controls
• shadow-development prevention
• service-stack promotion gates

Boundary statement

Jester answers:

Can this be built clearly?

The WESS Preflight Assistant answers:

Should this be built at all, how far should it go, who owns it, what value does it create, what capacity does it consume, and what risks or governance triggers apply?

Initial Jester classification

Until proven otherwise, Agent Jester should be classified as:

Useful but unofficial; preflight-required if continued, expanded, or treated as a team operating tool.

19. Agent architecture

Idea / request / experiment
  -> Sandbox or time-boxed feasibility check
  -> WESS Preflight and Build-Readiness Assistant
  -> Approved, rejected, parked, remediated, or returned for clarification
  -> If approved for backlog
  -> Agent Jester
  -> Jira epic / stories / acceptance criteria / engineering handoff

WESS Preflight Assistant responsibilities

• intake
• lane assignment
• value classification
• management-priority alignment
• capacity accounting
• ownership check
• governance routing
• sustainment class
• stop condition
• decision record
• exception/remediation handling
• Jester handoff payload

Agent Jester responsibilities

• backlog shaping
• Jira story readiness
• acceptance criteria
• functional requirement structure
• developer-ready decomposition
• testability checks
• story-quality feedback

Agent Jester must not imply value approval, funding approval, management-priority approval, capacity approval, service-stack readiness, sustainment readiness, governance clearance, or operational readiness.

20. Agent Jester handoff contract

Agent Jester should accept structured handoff from the WESS Preflight Assistant.

Minimum handoff fields:

• preflight record ID
• approval status
• lane
• problem statement
• value classification
• benefit owner
• capacity owner
• product owner
• technical owner
• estimated employee hours
• estimated contractor hours
• estimated sustainment hours
• systems/data scope
• governance triggers
• constraints
• stop conditions
• backlog-shaping scope
• explicit instruction not to exceed approved scope

Agent Jester should require a preflight record ID or explicit exception for non-sandbox Jira epic generation.

Agent Jester should state:

This item may be structurally ready for backlog, but Agent Jester does not validate value, funding, approval, capacity, governance clearance, sustainment, or operational readiness.

21. Repo-seed principle

The adapted framework includes a repo-bootstrap / repo-seed package. This is not left to Agent Jester.

The repo seed defines:

• human-readable artifacts
• machine-readable schemas
• catalogs
• templates
• fixture scenarios
• expected outputs
• validation checks
• agent instructions
• Jester handoff contracts
• decision record formats
• internal tool inventory and classification model

The upstream assistant owns the preflight/build-readiness schemas. Agent Jester consumes approved handoff payloads and produces backlog/story artifacts.

22. Proposed repo-seed artifact map

Root documents

Schemas

• preflight-record.schema.json
• value-tco.schema.json
• capacity-model.schema.json
• governance-routing.schema.json
• lane-assignment.schema.json
• decision-record.schema.json
• exception-record.schema.json
• remediation-record.schema.json
• sustainment-class.schema.json
• jester-handoff.schema.json
• internal-tool-inventory.schema.json
• internal-tool-status.schema.json

Catalogs

• value-classification.catalog.json
• lane.catalog.json
• governance-trigger.catalog.json
• sustainment-class.catalog.json
• decision-right.catalog.json
• approval-status.catalog.json
• internal-tool-status.catalog.json

Templates

• preflight-record.template.md
• prd-lite.template.md
• feasibility-check.template.md
• decision-record.template.md
• exception-record.template.md
• remediation-record.template.md
• jester-handoff.template.md
• operationalization-checklist.template.md
• internal-tool-inventory.template.md

Fixtures

Fixture set includes examples for:

• sandbox-low-risk
• feasibility-check-connector-risk
• unsupported-pet-project
• direct-opex-reduction
• external-benefit-no-sponsor
• contractor-capacity-hidden
• isrm-trigger
• tq-trigger
• recurring-use-without-owner
• jester-backlog-without-preflight
• retroactive-approval-attempt
• operationalized-without-sustainment
• dashboard-used-for-decisions-without-source-owner
• automation-touching-endpoint-workflow
• greater-good-low-management-priority
• agent-jester-useful-but-unofficial
• internal-agent-without-owner
• internal-dashboard-stale-source

23. Non-inference rules

The WESS Preflight Assistant must not infer:

• management approval
• funding approval
• capacity approval
• contractor availability
• product ownership
• sustainment ownership
• ISRM clearance
• TQ clearance
• privacy clearance
• platform approval
• service owner approval
• data classification
• operational readiness
• service-stack readiness
• value realization
• OPEX reduction
• support-load reduction
• governance exemption
• Jira readiness
• production readiness
• internal tool official status
• internal tool trustworthiness
• internal tool operationalization

If evidence is missing, use:

• not_evidenced
• requires_confirmation
• requires_approval
• requires_routing
• blocked
• not_applicable

24. Output states

Recommended decision states:

• sandbox_allowed
• feasibility_check_allowed
• preflight_incomplete
• approved_for_proof
• approved_for_jester_handoff
• approved_for_operationalization
• useful_but_unofficial
• preflight_required
• parked
• rejected
• requires_management_decision
• requires_isrm_review
• requires_tq_review
• requires_privacy_review
• requires_platform_review
• requires_service_owner_review
• remediation_required
• retire
• quarantine

25. Build-readiness gates

A work item is not ready for preflight-approved proof unless:

• problem statement is clear
• value classification is selected
• management-priority alignment is stated
• benefit owner is identified
• capacity owner is identified
• product owner is identified or explicitly unresolved
• technical owner is identified or explicitly unresolved
• employee and contractor capacity are estimated
• governance triggers are assessed
• sustainment class is selected
• stop condition is defined
• approval status is explicit

A work item is not ready for Jester handoff unless:

• preflight record exists
• approval status allows backlog shaping
• lane is not sandbox-only
• scope is bounded
• owner is named
• constraints are listed
• Jester handoff payload is complete

A work item is not ready for operationalization unless:

• owner is named
• support model exists
• sustainment class is team-supported, service-supported, or high-control
• runbook/support note exists
• monitoring or health check is defined where appropriate
• governance reviews are complete or explicitly not triggered
• retirement criteria exist
• decision record is approved

An internal tool is not official unless:

• inventoried
• owner named
• purpose documented
• sustainment class selected
• support model defined
• limitations documented
• governance triggers assessed
• status approved
• review date captured

26. Pilot scope

The first pilot covers both:

1. Agent Jester
2. The new WESS Preflight and Build-Readiness Assistant

Pilot intent:

• validate the dogfooding rule
• classify Agent Jester honestly
• define Jester’s downstream boundary
• prove the upstream preflight model before sending work to Jester
• validate the handoff schema from preflight to backlog/story shaping
• prevent the argument that “Jester already does this” when Jester’s own response showed it does not provide full upstream investment governance

Expected pilot outputs for Agent Jester:

• internal tool inventory record
• current status classification
• owner/support/sustainment assessment
• limitations statement
• governance trigger check
• Jester handoff boundary
• decision: keep unofficial, approve proof, operationalize, remediate, or retire/quarantine

Expected pilot outputs for WESS Preflight Assistant:

• preflight assistant product brief
• preflight schema
• value/TCO schema
• capacity model schema
• governance routing schema
• jester-handoff schema
• sample fixtures
• expected outputs
• validation checks
• operating instructions

27. Company Copilot governance alignment

The AI Platform team’s Copilot Premium and Studio update strengthens this framework. It gives an enterprise platform view that independently supports the same escalation logic used here: governance increases as agents reach more users, integrate with more data, and move from individual use toward team, function/sector, or enterprise deployment.

The Copilot maturity roadmap described five layers:

The higher the layer, the more governance is required. The top tier is where Copilot Studio, Azure AI Foundry, formal approval, enterprise support, and Copilot Service team publishing become relevant.

27.1 Copilot governance tier mapping

27.2 Copilot-specific routing triggers

A work item must trigger Copilot governance routing when it involves any of the following:

• Microsoft 365 Copilot agent intended for team use beyond the creator
• Agent Builder agent shared beyond individual/sandbox use
• SharePoint Agent used by a team or recurring process
• Copilot Studio agent
• Azure AI Foundry agent
• M365 Agent Toolkit solution
• agent-to-agent flow
• enterprise connector
• event-triggered or scheduled automated agent flow
• publication to Teams, M365 Copilot, or other channels
• use beyond five users
• expected use by a team, function, sector, or enterprise population
• use of data not already approved for the proposed Copilot tier
• any Function/Sector or Enterprise use case

27.3 Data approval split

The Copilot update creates a useful data governance split:

This aligns with the WESS framework principle that a model or agent must not infer data approval, privacy posture, ISRM clearance, TQ clearance, platform approval, or operational readiness.

27.4 SDLC expectations

27.5 Effect on this framework

The platform team’s model does not replace this framework. It reinforces it.

This framework remains the WESS intake and build-readiness layer. The Copilot model becomes an enterprise platform alignment source that determines routing, approval depth, support expectations, and SDLC tier when work involves Copilot agents.

The practical rule is direct:

If an agent moves beyond individual use, the rigor increases. If it becomes Team, Function/Sector, or Enterprise scope, preflight, approval, support, data approval, and platform routing are no longer optional.

28. Manual preflight harness before agent build

The WESS Preflight and Build-Readiness Assistant does not need to exist before the framework can be used.

Until an assistant is approved and built, the HTML, Word, or Markdown package can be used as a manual review harness with a structured prompt. This lets the team apply the rigor immediately without creating another unsupported agent before the operating model is proven. Humanity can, in fact, read a document before automating it. Grim, but possible.

28.1 Manual harness use cases

Use the manual harness when:

• a new development idea is proposed
• someone wants to create a Jira epic
• contractor capacity may be assigned
• a tool or automation may become recurring
• an agent may be shared beyond the creator
• a dashboard or report may influence service decisions
• a work item may trigger ISRM, TQ, privacy, platform, architecture, Copilot Service team, or service owner routing
• an existing tool needs classification
• Agent Jester is being used to shape backlog and the preflight status is unclear

28.2 Manual harness operating steps

1. Open the HTML reading path for this framework.
2. Attach or reference the HTML, Word, or Markdown package in the evaluation session.
3. Paste the proposed work item description.
4. Use the Manual Preflight Harness Prompt below.
5. Treat the output as a draft review, not approval.
6. Record open questions, missing evidence, governance triggers, and capacity assumptions.
7. Decide whether to approve sandbox use, allow a time-boxed feasibility check, complete preflight, route for review, send to Agent Jester, park, remediate, or reject.

28.3 Manual Preflight Harness Prompt

Use the attached MLL Workstation Engineering Services (MLL WESS) Development Commitment and Build-Readiness Framework HTML as the governing evaluation source.

Evaluate the proposed work item below as a manual preflight review. Do not infer missing approvals, ownership, funding, capacity, data classification, Information Security Risk Management (ISRM) clearance, Enterprise Technical Quality (TQ) clearance, privacy clearance, platform approval, Copilot Service team approval, operational readiness, or sustainment readiness.

Proposed work item:
[PASTE DESCRIPTION HERE]

Evaluate across these areas:

1. Lane assignment
- Sandbox
- Time-Boxed Feasibility Check
- Preflight-Approved Proof
- Operationalized Capability

2. Copilot / agent tier alignment, if applicable
- Individual use
- Team
- Function/Sector
- Enterprise
- Not applicable

3. Value classification
- Direct savings
- Indirect savings
- Avoided cost
- Risk reduction
- Capacity release
- Quality or rework reduction
- Cross-workstream value

4. Outcome Acceptance Line and owner roles
- Identify the decision owner, budget owner, benefiting owner, and evidence owner.
- State whether the current business climate is primarily weighting direct OPEX reduction, risk reduction, capacity release, or another class.
- Decide whether the item is above or below the Outcome Acceptance Line.
- If below the line, say whether the right path is sandbox, time-boxed feasibility, leadership exception, park, or reject.

5. Capacity accounting
Identify required employee time, contractor time, product-owner/admin time, operations support time, documentation time, governance review time, and sustainment effort. If unknown, mark as requires_confirmation.

6. Governance routing
Identify whether the work triggers ISRM, TQ, privacy/legal/data governance, platform/architecture, service owner/operations, Copilot Service team, or management/capacity review.

7. Data and system scope
Identify systems, data, users, integrations, authentication, endpoint workflows, reporting, source systems, or operational dependencies. If unknown, mark as not_evidenced or requires_confirmation.

8. Agent Jester handoff readiness
Decide whether this item is ready for Agent Jester backlog/story shaping. If not ready, list what preflight information is missing.

9. Operationalization risk
Identify whether this could become an unsupported operational dependency.

10. Stop conditions
Define what would cause this work to stop, be parked, be remediated, or be retired.

11. Recommendation
Return one of:
- sandbox_allowed
- feasibility_check_allowed
- preflight_incomplete
- approved_for_proof
- approved_for_jester_handoff
- requires_management_decision
- requires_isrm_review
- requires_tq_review
- requires_privacy_review
- requires_platform_review
- requires_copilot_service_team_review
- requires_service_owner_review
- remediation_required
- rejected
- parked

Output format:
- Executive summary
- Lane decision
- Value class, owners, and acceptance-line status
- Copilot governance tier, if applicable
- Required approvals/routing
- Missing evidence
- Capacity estimate
- Sustainment expectation
- Jester handoff status
- Recommendation
- Open questions

Important:
A structurally clear idea is not automatically approved work.
Jira is not approval.
Silence is not approval.
Developer enthusiasm is not priority.
Useful is not operationalized.

28.4 Manual harness boundary

The manual harness can support decision preparation. It cannot approve work on its own.

The output must not be treated as:

• management approval
• funding approval
• contractor capacity approval
• ISRM clearance
• TQ clearance
• privacy clearance
• Copilot Service team approval
• platform approval
• service owner approval
• operational readiness
• sustainment readiness
• Jira approval

The manual harness is a practical interim control. If the team later builds the WESS Preflight Assistant, the assistant should implement this same logic with schemas, decision records, validation checks, and Jester handoff output.

29. Validation strategy

The framework should not be trusted because the HTML looks tidy. It should be trusted only if the repo-seed assets validate.

Validation checks should include:

• required file inventory
• JSON parse checks
• schema validity
• catalog value consistency
• fixture and expected-output alignment
• no missing required Jester handoff fields
• no governance trigger without routing state
• no operationalization without sustainment class
• no internal tool official status without owner/support/sustainment
• no Jira handoff without preflight record ID or approved exception

30. Immediate next steps

1. Review this v0.4.2 package with the management team.
2. Confirm whether enforcement begins as a 30-day soft gate.
3. Inventory Agent Jester as the first internal tool candidate.
4. Create a preflight record for the WESS Preflight Assistant itself.
5. Test the Jester handoff schema with a sample approved work item.
6. Refine templates based on the first pilot.
7. Move to hard gate for Jira epics, contractor capacity, and service-stack work after the soft-gate period.

31. v0.4.2 go/no-go position

v0.4.2 is ready as a controlled team-framework handoff for discussion, pilot setup, and repo-seed evaluation.

It is not yet an enforced operating policy until the team-leader approval model, socialization plan, and soft-gate start date are confirmed.

It is not a replacement for technical judgment, engineering autonomy, or manager input. It is the front-door discipline that decides when work is ready to consume shared capacity and move downstream into Agent Jester, Jira, or engineering execution.

Appendix A. Source role map and package provenance

This package uses the v0.2.1 WESS development intake framework as the substantive source baseline and transforms it into a polished enterprise artifact family.

Appendix B. Package operating boundary

v0.4.2 is suitable for:

• management-team review;
• controlled soft-gate preparation;
• manual preflight harness rehearsal using approved data;
• repo-seed evaluation;
• Agent Jester handoff testing with sample approved work;
• leadership alignment on decision rights, approval gates, and capacity governance.

v0.4.2 is not:

• enforced operating policy by itself;
• production workflow approval;
• autonomous approval authority;
• Copilot Service team approval;
• ISRM, TQ, privacy, platform, or service-owner clearance;
• evidence that any specific internal tool is approved, sustained, or operationalized;
• authorization to bypass management priority decisions, Jira controls, or service-stack governance.