Software

Guiding software teams through sustainable growth.


Software teams adapt to technical change fast. Organizational change — who decides what, how knowledge transfers at scale, how teams coordinate — tends to lag until it’s costing them.

Global IT spending is projected to grow 9.3% in 2025, with software segments expected to grow at double-digit rates.[1] The talent picture has shifted sharply: the hardest-to-fill roles in 2025 are AI engineers (28% of demand), IT security engineers (16%), and cybersecurity engineers (13%) — none of which ranked in the top three in 2024.[2] Software organizations are being asked to integrate AI, strengthen security posture, accelerate delivery, and manage cloud migrations — simultaneously, with a hiring strategy that needs to be rebuilt from scratch. The companies executing well across those four priorities are doing it through organizational design, not just technical investment.



Biggest Challenges We See in the Software Space


Decision authority that nobody has mapped

Software organizations are full of people capable of making good decisions. Most of them don’t know which decisions they’re authorized to make. Teams either escalate every call and create bottlenecks, or move without coordination and generate expensive rework. The resulting dysfunction rarely looks like a governance problem — it looks like a velocity problem, a quality problem, a communication failure. Until someone maps the actual decision architecture, every attempted fix treats a symptom.

Security and AI integration failing for the same reason

Security vulnerabilities and AI integration failures in software organizations have the same root cause: organizational disconnects. Security teams set requirements that development teams work around because no one closed the loop. AI engineers build models that product managers can’t design around because the teams speak different languages. The technology in both cases is not the problem. The organizational structure that keeps the relevant teams from coordinating effectively is.

How Rooted Helps Leaders in the Industry

For software companies, ONA maps the actual decision architecture — who influences what, where coordination breaks down, and which informal networks are holding key processes together. That’s the foundation before any organizational redesign. OCM addresses the adoption problem: when development culture has to shift — toward security discipline, AI-integrated workflows, or new delivery approaches — the technical training is the easy part. Changing how development teams think about their work and their role is the harder work, and it requires deliberate organizational effort.

Organizational Network Analysis (ONA)

Software

Technology organizations make critical decisions through informal networks that bear no resemblance to the org chart. ONA maps who actually influences technical direction, where coordination breaks down across engineering, product, and security, and which informal leaders hold key workflows together.
Decision authority mapping across technical teams
Engineering-product-security coordination gap analysis
Informal influence network identification
Knowledge concentration and succession risk assessment

Business Process Engineering (BPE)

Software

Feature delivery slowdowns rarely stem from technical problems. BPE maps actual delivery workflows and redesigns them to eliminate approval bottlenecks, clarify decision authority, and reduce cross-departmental negotiation that delays releases without improving outcomes.
Feature delivery workflow redesign
Cross-functional approval process optimization
AI integration workflow development
Security review process restructuring

Organizational Change Management (OCM)

Software
Development culture doesn’t change through training mandates. OCM handles harder transitions — security-first development, AI-integrated workflows, new delivery models — by addressing how teams understand their work and role, not just what procedures they’re required to follow.
Security culture development in engineering
AI workflow adoption strategy and implementation
Development team change communication
Agile and delivery model transition management

Organizational Development & Effectiveness (OD&E)

Software

Technology organizations scale headcount quickly and organizational capability slowly. OD&E builds the structures and knowledge transfer systems that let engineering and product organizations grow without losing delivery velocity, institutional knowledge, or the informal coordination that early teams depended on.
Engineering knowledge transfer system design
Organizational scaling architecture
Technical leadership development
Decision framework documentation and distribution


How We’ve Helped Software Organizations with their Operations

Sector-Based Scenarios. Tangible Outcomes.

A fintech software company mandated security-first development practices across 40 teams. Six months later, security vulnerabilities per release had barely changed. Reviews were bottlenecking releases. Developers called it “compliance theater”, which is not entirely unfair.

The real problem: For starters, security reviews happened at the end of the cycle when changes were expensive, developers had no direct access to security expertise during development, and the security team was positioned as a gatekeeper rather than a partner. Through ONA, we mapped the actual relationship between the two groups and then redesigned it. We moved security review earlier, embedded security engineers into development teams, and shifted knowledge transfer from centralized review to distributed coaching. Security vulnerabilities in production decreased 78%. Review bottlenecks dropped 62%. Zero additional security headcount required.


Scale Happens Fast.
Culture Breaks Faster.

At Rooted, we help tech companies grow without fracturing their teams. As headcount doubles and processes multiply, we guide organizations through transformation using strategies that preserve what made you successful. We see the patterns, then we help you scale smartly.

  1. Deloitte Insights. “2025 technology industry outlook.” July 18, 2025. https://www.deloitte.com/us/en/insights/industry/technology/technology-media-telecom-outlooks/technology-industry-outlook.html
  2. Reveal Survey Report. “Top Software Development Challenges For 2025.” April 29, 2025. https://www.revealbi.io/reveal-survey-report-top-software-development-challenges-for-2025
  3. McKinsey. “McKinsey technology trends outlook 2025.” July 22, 2025. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-top-trends-in-tech