Building a Scalable PMO & Delivery Governance System for a Game Development Company

Overview

Pingle Studio was experiencing rapid operational growth while simultaneously managing an increasingly complex multi-project delivery portfolio across international clients and internal initiatives.

As the organization scaled, delivery operations became more difficult to coordinate consistently. Leadership needed stronger forecasting, better visibility into portfolio health, standardized execution practices and a more mature governance model capable of supporting long-term growth.

The company also needed to prepare operationally for a future acquisition process and ensure the organization could scale without losing delivery quality, predictability or profitability.

Miros was engaged to design and build a scalable PMO and delivery governance function from the ground up.

The Core Problem

The company had strong talent, experienced delivery teams and a growing client portfolio but operational maturity had not yet caught up with the pace of scaling.

Key challenges included:

• No centralized PMO governance structure

• Inconsistent reporting and delivery standards between teams

• Very limited portfolio-level forecasting visibility

• Resource allocation and utilization managed manually

• Delivery metrics absent or fragmented across tools and departments

• Lack of standardized execution frameworks and operating cadence

• Growing pressure from scaling operations and increasing client complexity

• Executive leadership lacking unified portfolio visibility

• High dependency on manual inconsistent reporting and coordination

• The organization was struggling both: of execution capability and it was struggling because scaling required a more structured operational system.

Constraints & Reality Check

The transformation had to happen while the business continued active delivery across dozens of concurrent initiatives.

Key constraints included:

• 30+ active projects running simultaneously

• Multiple delivery teams with varying maturity levels

• Rapid hiring and organizational growth

• Existing operational habits and fragmented processes

• Need to avoid delivery disruption during transformation

• Preparation for acquisition and corporate integration

• Need for executive-level reporting without increasing operational overhead

The objective was not bureaucracy.

The objective was to create operational clarity, scalability and predictability without slowing the business down.

Strategic Approach

The engagement focused on building a scalable operational foundation capable of supporting both rapid growth and enterprise-level governance expectations.

PMO Foundation Buildout

A company-wide PMO structure was designed and implemented from the ground up, including:

• Delivery governance standards

• Project lifecycle management (PLC)

• Standardized templates and documentation

• Reporting frameworks

• Delivery operating models

• Portfolio governance cadence

Portfolio Visibility & Forecasting

A centralized portfolio management system was introduced to improve:

• Delivery predictability

• Capacity planning

• Resource allocation

• Forecasting accuracy

• Executive visibility

• Financial oversight

Leadership & Team Development

Delivery leadership capabilities were scaled through:

• Mentorship of 7 Project Managers

• Performance management frameworks

• Career path development

• Standardized delivery expectations

• Operational accountability systems

Data-Driven Governance

A unified KPI-driven delivery system was implemented to track:

• Resource utilization

• Delivery predictability

• Milestone adherence

• Portfolio risks

• Team capacity

• Delivery profitability

• Forecasting accuracy

Tooling & Automation

The operational ecosystem was standardized across the organization using:

• Jira

• Confluence

• Coda

• Slack

• Executive dashboards

• Workflow automations

• Cross-tool integrations

• AI-assisted reporting and summarization

This created a single source of truth for operational oversight and executive decision-making.

Key Initiatives Implemented

• Built PMO function from the ground up

• Introduced delivery governance standards

• Designed standardized reporting frameworks

• Implemented portfolio forecasting systems

• Introduced KPI-driven operational management

• Built executive portfolio dashboards

• Implemented resource allocation and utilization tracking

• Standardized Jira and operational workflows

• Introduced AI-assisted reporting and risk summaries

• Automated cross-functional reporting pipelines

• Established scalable delivery operating cadence

• Supported operational readiness for acquisition and integration

Quantitative Results

• 40% improvement in portfolio forecasting accuracy and delivery profitability

• Delivery governance standardized across 30+ concurrent initiatives

• Centralized visibility established across delivery, financial and resourcing operations

• Significant reduction in manual reporting overhead through automation and AI-assisted reporting

• Improved executive decision-making speed through unified operational dashboards

• Successfully supported organizational readiness for acquisition and integration activities

Qualitative Impact

• Leadership gained real-time operational visibility across the portfolio

• Delivery teams operated with clearer standards and expectations

• Resource planning became substantially more predictable

• PMs and Account Managers developed stronger operational ownership

• Decision-making became more data-driven and less reactive

• Cross-functional alignment improved significantly

• Operational maturity increased to enterprise-ready level

• The organization became structurally prepared for scalable growth and acquisition integration