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The transition from an internal tool to a commercial SaaS product is not just a business model change. For Spresso, it required 18 months of focused engineering to make the platform leaner and cut customer deployment time from four months to less than four weeks.
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During a transformation from services to product, identify and commercialize the reusable tools that services teams have already built to support clients. Instead of starting from scratch, productizing these existing "mini-products" aligns them with the broader product strategy, saves development time, and leverages proven solutions.
Sales leader John McMahon explains that while perpetual licenses offered years to fix issues, today's consumption-based models can see customers churn in a week if they don't see immediate value. This demands an intense focus on rapid value realization.
The one-size-fits-all SaaS model is becoming obsolete in the enterprise. The future lies in creating "hyper-personalized systems of agility" that are custom-configured for each client. This involves unifying a company's fragmented data and building bespoke intelligence and workflows on top of their legacy systems.
Initially a hardware company, SkillVari's supply chain collapsed during the pandemic, sending revenue to zero. This crisis forced a pivot to a software-first model, allowing customers to buy off-the-shelf Meta or Pico headsets and load the software, creating a more scalable and resilient business.
Instead of large, multi-year software rollouts, organizations should break down business objectives (e.g., shifting revenue to digital) into functional needs. This enables a modular, agile approach where technology solves specific problems for individual teams, delivering benefits in weeks, not years.
After passing $500k ARR, OutboundSync's team found its enterprise-grade tech stack created unnecessary friction. Realizing they were an SMB, not a scaled company, they ripped out complex tools for simpler ones, proving that premature scaling of internal systems is a significant operational drag.
To avoid the customization vs. scalability trap, SaaS companies should build a flexible, standard product that users never outgrow, like Lego or Notion. The only areas for customization should be at the edges: building any data source connector (ingestion) or data destination (egress) a client needs.
Veteran tech executives argue that evolving a business model is much harder than changing technology. A business model creates a deep "rut" that aligns customers, sales incentives, and legal contracts, making strategic shifts (like moving from licensing to SaaS) incredibly painful and complex to execute.
To move from a project-based model to a scalable product, Irembo created two distinct teams. One team focused on building the core platform and its capabilities, while the other handled client-specific implementations using the platform, effectively managing the transition without disrupting delivery.
Founders often obsess over a single launch day event. Livestorm's CEO argues that a launch is a 6-to-12-month timeline focused on building a sales or PLG engine and acquiring the first 10-15 key customers to trigger word-of-mouth. The initial event is just one point on that longer journey, not the ultimate make-or-break moment.
