NovaStack is a B2B workflow software company serving mid-market logistics and field-service businesses. It has $180M annual revenue, is growing 18% YoY, and employs 420 engineers across platform, product, infrastructure, and data teams. NovaStack's core platform is profitable, but product delivery has slowed: enterprise customers increasingly request AI-assisted workflows, real-time integrations, and stronger developer tooling. The CTO has asked the strategy team to recommend how the company should stay current with engineering trends and decide which new technologies are worth adopting over the next 12-18 months.
NovaStack currently evaluates new technologies in an ad hoc way. Individual teams have piloted tools for generative AI coding assistance, event-driven architecture, vector databases, and internal developer platforms, but there is no company-wide adoption framework. Leadership is concerned about two risks: falling behind competitors by underinvesting in relevant technologies, and wasting capital and engineering time by chasing hype. The CEO wants a clear recommendation on which technology areas deserve investment now, which should be monitored, and how to institutionalize the decision process.
The decision matters now because NovaStack is planning its next annual operating plan, has a limited innovation budget, and faces rising competitive pressure from newer SaaS vendors marketing AI-native products.
| Item | Current State |
|---|---|
| Annual R&D budget | $54M |
| Discretionary innovation budget for new technology adoption | $6M |
| Average fully loaded engineer cost | $190K/year |
| Current deployment frequency | 1.8 production releases per week |
| Estimated annual revenue at risk from feature gaps in top 50 accounts | $14M |
As the strategy lead, prepare a recommendation for the executive team: