New Balance OS

What are we working on?

Build governed apps, documents, and workflows with your organization's context.

Starter workspaces

Enterprise Technology Command CenterTrack transformation health, service readiness, and decisions across digital commerce, retail, supply chain, and product operations.

Live App

90-Day Technology Modernization BriefTurn public transformation themes into a governed plan for resilient platforms, trusted data, and measurable business outcomes.

Document

Governed AI & Automation Portfolio ReviewPrioritize AI-enabled work against value, data readiness, evaluation, cost, access, and human-oversight gates.

Slide Deck

Illustrative prototype. Uses public company context and simulated data; no connection to New Balance systems.

Build an enterprise technology command center for New Balance's global business. Combine portfolio, service, architecture, and cost signals for digital commerce, retail, supply-chain planning, and product operations. Keep every metric synthetic and require accountable owners for decisions.

AI

I start with no access. I'll request only the evidence needed for this workspace.

Gatekeeper: Technology Portfolio + Service Management
Read-only access to simulated portfolio milestones, service health, architecture decisions, dependency maps, and budget summaries. No customer, employee, product-design, supplier, or production data is exposed.

Approve read-only access.

AI

Executed deterministic query

const initiatives = await env.TECH_PORTFOLIO.list({
  domains: ["commerce", "retail", "supply-chain", "product"]
});
const health = await env.SERVICE_MANAGEMENT.getExecutiveHealth({
  include: ["slo", "dependencies", "decision-owner"]
});
app.render(TechnologyCommandCenter, { initiatives, health });

The command center is ready. Deterministic queries assemble the operating view; accountable people retain every funding, release, risk, and remediation decision.

Create a 90-day technology modernization brief for New Balance. Align digital flagship and omnichannel experiences, enterprise and supply-chain data modernization, and resilient technology operations. Start with business goals, define owners, and treat security, privacy, accessibility, and responsible leadership as design inputs.

AI

I'll use curated company context and request only the resources needed for this workspace.

Gatekeeper: Architecture + Portfolio Records
Read-only access to simulated service maps, architecture decisions, portfolio milestones, cost ranges, and control requirements. Production systems and private business data are not exposed.

AI

The brief is ready. It separates measurable business outcomes from technology choices and assigns each architecture, investment, risk, and rollout decision to a human owner.

Create an executive AI and automation portfolio review for New Balance. Compare grounded product and fit guidance, demand and inventory planning, and employee workflow automation. Include task evaluations, permission boundaries, model cost controls, and named human owners.

AI

I'll use curated company context and request only the resources needed for this workspace.

Gatekeeper: Model Registry + AI Gateway
Read-only access to simulated use-case metadata, data classifications, evaluation summaries, and aggregate inference costs. Prompts, credentials, customer records, employee records, and product designs are not exposed.

AI

Executed deterministic query

const candidates = await env.MODEL_REGISTRY.list({
  include: ["owner", "evals", "risk-tier", "data-readiness"]
});
const spend = await env.AI_GATEWAY.aggregate({ by: "workspace" });
deck.render(AIPortfolioReview, { candidates, spend });

The review is ready. Each candidate remains evaluation-gated, permission-scoped, cost-controlled, and accountable to a human owner before it can advance.

Enterprise Technology Command Center

Illustrative data. Every measure, alert, dependency, and decision state is synthetic. This view does not represent New Balance systems, performance, incidents, budgets, or plans.

12

Illustrative initiatives

94%

Synthetic services within SLO

3

Decisions due

2

Human approvals

Attention queue

Review: A simulated unified-commerce release has an unresolved resilience dependency; service and business owners must approve the decision.

Monitor: A synthetic planning-data milestone is approaching its review date; source permissions remain attached to the evidence.

Illustrative readiness by technology domain

Digital commerce and membership

92%

Ready

Retail and omnichannel

84%

Monitor

Supply-chain planning and data

76%

Review

Product and manufacturing platforms

88%

Monitor

Policy follows the data. Sharing this app re-checks the viewer against every observed resource.

Illustrative policy trace

Step	Enforced policy	Status
Request resource	Starts with no access; request is limited to Technology Portfolio + Service Management	Approved read-only
Run deterministic query	Typed capability; credential remains isolated	Logged
Render app	Observed resources stay attached to the output	Bound
Share	Viewer permissions are checked at open time	Human controlled

90-Day Technology Modernization Brief

Illustrative planning artifact. Illustrative plan informed by public sources. It is not a statement of New Balance architecture, roadmap, priorities, investments, or control posture.

New Balance - 90-Day Technology Modernization Brief

Executive decision brief | Illustrative draft

Purpose

Create a resilient, data-grounded technology operating model that connects consumer experiences, retail, product, manufacturing, and supply-chain outcomes without weakening access controls or local accountability.

Jobs to be done

Priority	Journey moment	Required review
Resilient digital flagship and omnichannel services	Discover, fit, purchase, fulfill, and support	Business + service owner review
Trusted enterprise and supply-chain data foundation	Plan product, inventory, manufacturing, and fulfillment	Architecture + data governance review
Scalable workforce and AI enablement	Build, operate, and improve global workflows	Security + risk + finance review

Operating principles

Start with a measurable job to be done, not a new tool.
Use curated company context before model knowledge.
The human owner remains accountable for every output.
An agent never receives more permission than the person using it.

Gatekeepers hold credentials, scope every resource, and preserve the observation trail when work is shared.

Delivery sequence

Baseline: Map priority journeys, accountable owners, service dependencies, data boundaries, costs, and current measures.

Pilot: Select one measurable job, bind only required resources, define evaluations, and preserve human approval for consequential actions.

Scale: Turn repeatable steps into code, publish reusable context and skills, and review reliability, adoption, value, and spend.

Control alignment

Global privacy, accessibility, supply-chain responsibility, security, architecture, financial controls, data provenance, recovery testing, and human accountability remain mandatory design inputs.

Governed AI & Automation Portfolio Review

Slide 1 of 4

Governed AI & Automation Portfolio Review

New Balance OS | Illustrative prototype

Slide 2 of 4

Public-context opportunity areas

Use case	Stage	Human owner	Next gate
Grounded product and fit guidance	Candidate	Digital product + consumer experience	Test grounding and recommendation quality
Demand and inventory planning	Candidate	Supply chain + data	Validate forecast value and exception review
Employee workflow automation	Explore	Business operations + technology	Confirm permissions and human ownership

Illustrative candidate portfolio only. It is not a statement of New Balance AI initiatives, models, pilots, datasets, performance, or spending.

Slide 3 of 4

Governance scorecard

100%

Human owner

3

Task evaluations

100%

Gateway routed

4

Decision gates

Illustrative target-state controls.

Slide 4 of 4

Next operating loops

Context: curate terminology, policies, and quality criteria.

Evaluation: define task-specific quality, safety, and fairness tests.

Access: bind every data resource through a Gatekeeper.

Efficiency: use code for deterministic work and models only for judgment.

Integrations

Organization-wide connections for New Balance OS. Gatekeepers hold credentials, scope resources, and log each action.

Prototype catalog. Connections and authorization states are simulated.

Gatekeepers

1

Productivity suite

Mail, calendar, documents, spreadsheets, and files

2

Collaboration

Chat, channels, meetings, and workflow notifications

3

Project tracking

Programs, epics, issues, sprints, and delivery status

4

Knowledge base

Policies, procedures, standards, and team documentation

5

Service management

IT tickets, incidents, change requests, and asset data

6

HRIS

Employee directory, organization, benefits, and lifecycle workflows

7

ERP & procurement

Finance, planning, purchasing, supply chain, and billing

8

CRM

Customer, account, partner, and service relationship data

9

Code platform

Repositories, reviews, issues, and engineering standards

10

Data platform

Governed warehouse, catalog, analytics, and reporting

11

Security operations

Alerts, cases, exposure, audit, and control evidence

12

Business intelligence

Dashboards, semantic models, and executive reporting

MCP Server Portals

Illustrative remote services available to authorized workspaces.

Security Operations

https://security.mcp.demo.example/mcp

Auto

Enterprise Data Catalog

https://data.mcp.demo.example/mcp

Needs auth

Finance & Procurement

https://finance.mcp.demo.example/mcp

Auto

People Directory

https://people.mcp.demo.example/mcp

Needs auth

Cloudflare API

https://cloudflare.mcp.demo.example/mcp

Auto

Organization Context

Shared, curated knowledge that grounds every New Balance OS workspace. Context is versioned and read-only to agents.

Public operating context: newbalance.com · Internal-looking documents below are illustrative.

md

company-strategy.md

Mission, operating model, annual priorities, and outcome definitions

md

brand-and-communications.md

Terminology, voice, accessibility, and approved communication patterns

md

security-standards.md

Identity, data protection, secure development, and incident requirements

md

responsible-ai-standard.md

AI risk tiers, evaluations, human oversight, and acceptable use

md

data-classification.md

Data categories, handling rules, retention, and sharing restrictions

md

architecture-principles.md

Technology standards, decision records, review criteria, and ownership

md

vendor-risk.md

Due diligence, contract controls, monitoring, and exit requirements

md

customer-experience.md

Journey definitions, service standards, and quality measures

md

operations-playbook.md

Service ownership, runbooks, escalation, continuity, and recovery

md

finance-controls.md

Planning, purchasing, expense, audit, and reporting procedures

md

people-policies.md

Hiring, onboarding, performance, leave, and workplace guidance

md

legal-and-compliance.md

Review paths, records, privacy, accessibility, and regulatory obligations

Skills

Reusable workflows for every function. The human requester owns the result.

Name	Description	Group	Source
meeting-prep	Build an agenda and briefing from authorized calendar, CRM, and document context	General	Shared library
weekly-operating-review	Create a cross-functional summary with decisions, owners, and open risks	General	Shared library
incident-response	Assemble evidence, draft updates, and preserve human approval for containment	Security	Shared library
vendor-risk-review	Compare due-diligence evidence with security and privacy standards	Security	Shared library
control-evidence-pack	Map authorized evidence to control requirements and identify gaps	Security	Shared library
architecture-review	Review a proposal against architecture principles and decision criteria	IT & Architecture	Shared library
change-impact	Map dependencies, affected services, stakeholders, and rollback requirements	IT & Architecture	Shared library
service-health-review	Summarize service levels, incidents, changes, and capacity risks	Operations	Shared library
runbook-builder	Turn a procedure into a deterministic workflow with approval gates	Operations	Shared library
ai-model-review	Summarize ownership, evaluations, drift, risk tier, and release readiness	Data & AI	Shared library
data-quality-report	Assess freshness, completeness, lineage, and policy compliance	Data & AI	Shared library
budget-variance	Compare actuals with plan and draft a finance-reviewed variance narrative	Finance	Shared library
procurement-brief	Summarize requirements, alternatives, risk, and approval status	Finance	Shared library
job-description	Draft an accessible role description from approved job architecture	HR	Shared library
onboarding-plan	Create a role-based onboarding plan without expanding system permissions	HR	Shared library
contract-intake	Extract terms, route issues, and prepare a legal review checklist	Legal	Shared library
privacy-assessment	Map a proposed workflow to data categories and privacy obligations	Legal	Shared library
account-brief	Create a customer briefing from authorized CRM and public information	Sales	Shared library
proposal-draft	Build a first draft using approved claims, pricing, and brand context	Sales	Shared library
executive-update	Turn project evidence into a concise decision-oriented update	General	Shared library

Profile

Illustrative account information for this public prototype.

Account

AI Gateway

Illustrative demo data. Visibility and controls across every AI provider New Balance uses — one console.

Requests

128,400

▲ 11% vs last mo

Tokens

342M

▲ 8% vs last mo

Est. spend

$9,120

76% of budget

Cache-hit

27%

▲ saves ~$2.4k

Error rate

0.6%

▼ 0.2 pts

p50 latency

480 ms

across providers

Models in Use

This month

Model	Route	Tokens	Spend	Share	p50 latency
Llama 3.3 70B	Workers AI	156M	$2,140	42%	310 ms
Claude	via AI Gateway	98M	$3,980	24%	720 ms
GPT-4o	via AI Gateway	61M	$2,510	18%	640 ms
Workers AI embeddings (bge)	Workers AI	27M	$190	16%	40 ms

Spend vs. Budget

9 days remaining

$9,120spent of $12,000 cap

76%

On track · ~$2,880 left with 9 days

Top Users

Demo User 0142M tok $1,180

Demo User 0231M tok $960

Demo User 0328M tok $840

Demo User 0422M tok $610

Usage by Workspace / Team

342M tokens total

AI Enablement

121M tokens · $3,240

Platform Engineering

89M tokens · $2,460

Customer Experience

62M tokens · $1,510

Enterprise Operations

41M tokens · $1,020

Security & Compliance

29M tokens · $890

Governance

Guardrails enforced by Gatekeepers + AI Gateway, with resource-scoped access, audit trails, and human approval.

Per-team allowed models

Restrict which providers each workspace can call.

Monthly spend caps

Hard limits per team; agents stop before overrun.

Data & AI $4,000Platform $3,000

PII redaction

Strip sensitive fields from prompts before they leave.

Enabled

Prompt / response logging

Full request logs retained for audit & review.

Enabled · 90-day retention

Rate limits

Per-team request ceilings to protect budgets.

600 req / min|burst 1,000

Raise Data & AI cap to $6,000

Change queued by an agent — needs a human sign-off.

Requires approval

What are we working on?

Illustrative policy trace

Resource boundaries

New Balance - 90-Day Technology Modernization Brief

Purpose

Jobs to be done

Operating principles

Delivery sequence

Control alignment

Workspace sources

Resource boundaries

Governed AI & Automation Portfolio Review

Public-context opportunity areas

Governance scorecard

Next operating loops

Workspace sources

Resource boundaries

Integrations

Organization Context

Skills

Profile

AI Gateway

Models in Use

Spend vs. Budget

Usage by Workspace / Team

Governance

Per-team allowed models

Monthly spend caps

PII redaction

Prompt / response logging

Rate limits

Raise Data & AI cap to $6,000

AI Gateway Explorer

Review spend cap change