Title companies evaluating automation solutions face a fundamental strategic decision that extends beyond technology selection: whether to own the code that runs their operations or continue paying transactional fees indefinitely. Jimmy Lewis, Co-Founder and CEO of TrueFocus Automation, has observed this ownership question becoming the deciding factor in automation deals, particularly with larger title operations concerned about long-term costs and data security.
The traditional automation vendor model follows the Software as a Service approach where vendors retain ownership of the solutions they build, charging ongoing transactional fees based on usage volume. For title companies processing thousands of orders monthly, these fees compound quickly. A bot that costs $2.50 per transaction becomes $60,000 annually at 2,000 monthly orders, creating significant recurring expenses that can exceed ownership costs within a few years.
TrueFocus Automation offers both models through their platform at https://truefocusautomation.com. Clients can choose the SaaS approach with lower upfront costs, or pay approximately $9,500 per bot for full ownership rights. Sridhar Loganathan, TrueFocus's COO and Co-Founder, notes that the ownership conversation typically surfaces after companies have been using automation for a while and recognize the long-term financial implications.
The mathematics of automation ownership change dramatically when volume scales. A title company processing 50,000 orders annually might pay $25,000 in transactional fees for a single automation. After two years, they've paid more than the ownership model would have cost, with no equity in the solution. This financial reality drives many companies to reconsider their automation strategy as their operations grow.
Beyond pure cost considerations, ownership addresses critical data security concerns. Title companies handle sensitive financial information, social security numbers, and confidential transaction details. Some operations prefer keeping automation infrastructure entirely in-house rather than routing data through vendor-controlled systems, even with proper security protocols. This approach provides greater control over data governance and compliance requirements.
The ownership model also provides control over maintenance timing and customization priorities. With SaaS solutions, vendors control when updates deploy and how customizations get prioritized. Owned solutions allow companies to schedule changes around their own operational calendars and business priorities, creating more predictable technology management.
Lewis notes that mid-market title companies typically start with SaaS models to minimize upfront investment, then convert to ownership once they've validated the return on investment. Larger operations often skip directly to ownership models, viewing automation as infrastructure investment rather than recurring operational expense. This strategic distinction reflects how companies perceive technology's role in their long-term operations.
For title insurance automation specifically, the stakes are higher than typical business process automation. These bots don't just improve efficiency; they directly impact whether policies get issued accurately and on time. That criticality makes the ownership question more than a financial calculation. It becomes a question of operational control over mission-critical systems that can affect regulatory compliance, customer satisfaction, and business continuity.
The decision between SaaS and ownership models reflects broader questions about technology strategy in the title industry. Companies treating automation as a service prioritize flexibility and minimal capital expenditure. Those viewing it as infrastructure investment prioritize long-term cost control and operational independence. As automation becomes increasingly central to title operations, this ownership decision will shape companies' competitive positioning, cost structures, and technological agility for years to come.
