A SaaS workflow automation company needed to become AI-native to stay competitive, but lacked the senior leadership to execute transformation at both the product and operational levels. Without executives who could embed AI into customer-facing features while simultaneously modernizing internal systems and processes, the company risked falling behind competitors, slowing product innovation, and missing critical opportunities to leverage AI for operational efficiency and scalability.
RESULTS AT A GLANCE
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- AI transformation leadership established across both internal operations and product innovation
- Faster execution and reduced risk in AI initiatives through specialized expertise
- Scalable growth enabled without linear increases in headcount
CHALLENGE
The company’s SaaS platform helps enterprises replace manual, paper-based processes with automated digital workflows, but to stay competitive, they needed to embed AI throughout their products and internal operations.
The challenge was finding leaders who could execute at both levels with someone to modernize internal systems, data, and security with AI-first automation, and someone to build AI directly into the product, creating differentiated features that increase customer value and retention. These weren’t typical IT or engineering roles. The company needed deep expertise in generative AI and foundation models, AWS-centric cloud architecture (including AWS Bedrock), multi-tenant SaaS platforms, enterprise data and analytics, AI-assisted development tools, and zero-trust security. Most importantly, they needed leaders who could code, prototype, and ship AI capabilities, not just strategize.
SOLUTION
Through our AI Talent Services and Direct Executive Search, ConsultNet identified and placed the specialized leadership needed to execute transformation at both levels.
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- A VP of Information Technology (AI) was brought in to lead internal transformation, embedding AI-first workflows across departments, modernizing systems and data infrastructure, and strengthening cloud and zero-trust security
- An AI Technology Leader was engaged to own AI strategy from concept to production, designing and coding AI-powered product features that enhance the SaaS platform and create revenue impact
- Placed leaders with hands-on expertise across LLMs, AWS Bedrock, cloud-native SaaS stacks, enterprise data platforms, GitHub Copilot, and AI-driven automation
- Enabled direct execution with specialized talent equipped to roadmap, strategize, and build
DELIVERING LASTING IMPACT
The company now has the leadership infrastructure in place at both the operating model and product levels. The VP of IT (AI) is re-engineering how the business runs using AI and automation, improving efficiency and decision intelligence while reducing costs. The AI Technology Leader is embedding AI directly into the platform, creating differentiated features that increase customer value and retention.
Together, this leadership team reduces execution risk, shortens time to value, and enables scalable growth without proportional increases in headcount. The company can now respond faster to market shifts while maintaining enterprise-grade security and compliance.
