Guild ControlPlane · Control Tower

GUEST

Prototype environment — all costs, events, users, and outcomes are simulated.

○ Simulation live
Guild SystemsGuild ControlPlane · Enterprise AI Cost Intelligence

Observe. Attribute. Govern. Optimize.

Guild ControlPlane is an enterprise-grade AI cost intelligence and governance observability platform that delivers full-stack transparency into how AI workloads consume budget across departments, applications, and models. Built to bridge IBM watsonx.ai execution telemetry with Apptio-ready financial chargeback, ControlPlane unifies cost attribution, anomaly detection, governance enforcement, and optimization guidance into one reconciled source of truth.

Platform

IBM watsonx.ai · watsonx Orchestrate · OpenTelemetry · Unity Catalog

Objective

Make every AI dollar attributable, governable, and optimizable — from token to chargeback.

Scope

Cost analytics, budget forecasting, governance & risk, optimization center, evidence & audit.

Approach

Canonical event model, deterministic simulation, reconciliation-first architecture.

Open Live Operations Data Flow DemoReconciliation: all checks passing · no login required
...

$63,753

MTD AI Spend

month-to-date actuals

$55,000

Monthly Budget

all departments

$86,936

Forecast EOM

8 days remaining

$31,936

Forecast Variance

projected overage

4,840

AI Executions

observed events

87.7M

Total Tokens

input + output

71

Active Users

8 departments

6

Active Apps

applications

968

Governance Alerts

43 anomalies

$651

Optimization Value

potential monthly savings

Daily Spend Trend — Actual vs Forecast

Solid bars: actual MTD · hatched tail: projected to month-end

1471014182226300800160024003200

Spend by Department

Forecast variance vs monthly budget

Engineering
177%
Marketing
172%
Finance
118%
HR
183%
Legal
76%
Product
210%
Sales
245%
Operations
332%

Executive Insights — generated live from simulation state

Engineering is projected to exceed its monthly AI budget by 77% (variance $11,495), primarily driven by Granite 3.1 8B usage.

Legal remains within budget despite active usage, with forecast variance $-2,879 under its monthly allocation.

968 governance events require review — 41 involve sensitive-data classification and 887 await human approval.

An estimated $651/month could be saved by right-sizing eligible General Purpose workloads to the Economy tier (hypothesis — validate before applying).

Portfolio is forecast to close the month at $86,936 against a $55,000 budget — $31,936 projected overage.

Top Anomalies

Legal · Document Intelligence

ibm/granite-3-1-2b-instruct

98%

$4

Marketing · Workflow Automation

ibm/granite-3-1-8b-instruct

97%

$13

Operations · AI Assistant

ibm/granite-3-1-8b-instruct

97%

$7

Legal · Customer Intelligence

ibm/granite-3-1-8b-instruct

97%

$8

Marketing · Customer Intelligence

ibm/granite-3-1-8b-instruct

96%

$7

Current Status

Reconciliation

Passing

Active Scenario

Normal Operations

Governance Events

968

Unattributed Spend

$0

Optimization Candidates

104

Active Departments

8

Guild team members

Sign in to access internal tools — run history, client discovery, and user management.

1

Step 1 of 6

Business Context

Audience mode

Frame this as the single source of truth for AI ROI and budget accountability.

What you're seeing

The Command Center hero positions ControlPlane as the enterprise AI cost intelligence platform.

Why it matters

Establishes the four-pillar narrative — observe, attribute, govern, optimize — in one reconciled source of truth.

Presenter notes

We start with business context. AI spend is fragmented across models, teams, and vendors with no single source of truth. ControlPlane unifies cost attribution, anomaly detection, governance enforcement, and optimization guidance — bridging IBM watsonx.ai execution telemetry with Apptio-ready financial chargeback. Every AI dollar becomes attributable, governable, and optimizable.

Point to

MTD AI SpendMonthly BudgetForecast VarianceReconciliation status
Guild Systems

Guild ControlPlane

ControlPlane — AI Enterprise Governance & Intelligence System

Choose a Client Demo

Each client is a self-contained simulation context with independently seeded data, spend patterns, and governance rates.