Global IT spending hit $5.6 trillion in 2025, with AI-related spending projected to grow at 29% annually through 2028.[1] Tech jobs are expected to grow at twice the rate of the overall U.S. workforce over the next decade.[2] The money is flowing, the opportunities are clear, and most tech companies know exactly what needs to happen: deploy AI, modernize infrastructure, scale operations, integrate acquisitions, shift to service models.
Here’s what those numbers don’t show: the IT skills shortage will impact 90% of organizations by 2026, generating an estimated $5.5 trillion in losses from delays and missed opportunities — not from technology failures, from organizational ones.[3] Thirteen thousand tech workers faced layoffs in early 2025 while 87% of technology leaders simultaneously reported challenges finding skilled talent in the areas they actually need.[4] And 70% of executives name AI agents as a top-three technology priority, even as most organizations don’t yet have the workflows, roles, or decision-making structures to put them to work.[5]
The strategies are well understood. Execution is where things tend to fall apart. In the tech industry, execution is an organizational problem.
Why Tech Organizations Break Under Pressure
Technology companies run on informal networks that move faster than any org chart. The engineer everyone goes to when they’re stuck. The product manager who coordinates across four teams without formal authority. The customer success rep who handles escalations before they reach leadership. These networks are how fast-moving companies actually get things done.
The problem is – most of the time – that those “velocity-first” cultures systematically underinvest in the organizational infrastructure that makes that pace sustainable. Knowledge transfer happens accidentally, if at all. Coordination depends on a handful of individuals who aren’t on anyone’s succession plan. Cross-functional initiatives launch with energy and die in silos because nobody owns the end-to-end outcome.
When growth is fast enough, companies can run on this for years without feeling the full cost. When it slows — or when an acquisition, a leadership change, or a major platform shift arrives — the organizational debt comes due fast.
The B5 Problem in Technology
Large consulting and systems integration firms show up in technology in two specific patterns, and they underperform in both.
The first is M&A integration. When a tech company acquires another, large advisory firms are typically brought in to manage the process. They focus on financial synergies, technical consolidation, and legal alignment — the parts of integration that are measurable and contractually defined. What they consistently underdeliver is the organizational side: the cultural integration, the informal network mapping, the retention of the people who made the acquired company worth acquiring in the first place. The result is predictable. Key talent leaves, customers churn, and 18 months after close the acquirer is trying to explain why the acquisition hasn’t delivered its projected value.
The second is AI and digital transformation. Large firms sell both the platform and the change management around it — the same economic structure as manufacturing ERP. The platform is the contract. Organizational readiness is the line item. Workflows don’t get redesigned before deployment. Teams don’t get brought along before the tool goes live. Adoption is inconsistent. The ROI gap isn’t a technology problem. It’s a preparation problem.
Most mid-market tech companies are navigating one of these two situations, or both simultaneously. Rooted works as the independent organizational partner — not inside the implementation contract, not inside the M&A advisory relationship. Our accountability runs entirely to the client.
How Rooted Works in Technology
Organizational Network Analysis
Technology companies operate through informal networks that org charts don’t show — which engineers hold the institutional knowledge, how decisions actually get made, where coordination breaks down before it causes a delay or a departure. ONA is particularly valuable during M&A integration (mapping both organizations before attempting to merge them), rapid scaling (identifying where informal networks can’t carry the load), and major technology deployments (finding the real adoption influencers before you need them).
Organizational Change Management
Tech companies implement change constantly and resist it just as constantly. Platform migrations, operating model shifts, M&A integrations, and AI deployments all require people to actually work differently — and that’s where large-firm programs consistently fall short. We design OCM programs built for tech environments: communication that cuts through noise, adoption approaches that work across distributed and remote teams, and post-launch monitoring that catches reversion before it calcifies into the next round of change fatigue.
Business Process Engineering
Most mid-market tech companies run on processes designed for an earlier version of the business — product-era workflows trying to support a services model, waterfall processes sitting underneath agile development, manual coordination that worked at 40 people and breaks at 140. We map how work actually flows, identify where friction is slowing delivery or compressing margin, and redesign the process around the business you’re running now.
Organizational Development & Effectiveness
Tech organizations need to develop capabilities faster than technology evolves — without pulling engineers off projects for week-long training programs that don’t stick. We help tech companies close capability gaps through knowledge transfer systems that capture expertise before it walks out, structured mentorship that works across distributed teams, and leadership development built for technical founders and managers who need organizational skills to match their technical depth.
Sectors
- Hardware
- Software
- IT Services
- Internet & Digital Services
- Emerging Technology
- Telecommunications & Networking
- Health & Biotech
Scale happens fast.
Culture breaks faster.
Tech execution problems look like technology problems until you look closely. Download our Technology Capabilities Brief or schedule a consultation to talk through what’s in front of you.