Finding the Next Procurement Opportunity with AI

Finding contracts means keeping up with listings across procurement portals. Each has its own search tools and alerts, so checking for new work can take a lot of time.

David Sojka, Director of Procurement and Contracts at SkillOps, sees a useful job for AI here. His approach ties together finding work, protecting company data, and teaching people how to use the tools.

Find the right opportunities sooner

SkillOps provides professional development and training. David checks procurement portals for work that fits those services, using alerts and direct searches to cover more ground.

He is exploring an agent that checks the portals regularly and flags relevant listings quickly. Access through the portals’ logins is one part he is working through.

The idea has a clear job: look in specific places for specific work, then tell the person who can act on it. Other teams can use that same approach for partner listings or customer notices. Start with something people already check often and decide which updates deserve their attention.

Keep company information in company tools

SkillOps has an AI policy and provides tools for different work tasks. David keeps sensitive company information in that work environment, even when his personal subscription has features he would like to use.

He brings the same care to his agent plans. The automation needs to work within the company’s rules for data and access.

That gives other teams a useful starting point: decide what information an agent needs and where it can go before choosing the tools.

Make AI guidance easy to reuse

David has seen businesses that need help with AI policies and employee training. SkillOps recently introduced AI courses, drawing on its team’s experience designing courses and preparing instructors to teach them.

That experience matters. People need material they can understand and use in their work.

Inside SkillOps, the director of technology has also shared reusable skills: saved instructions employees can add to their AI tools. These give the model context and things to check before answering.

Other teams can do something similar by turning useful task instructions into a shared starting point. People can build on what colleagues have already worked out.

Give the team a way to act

David and his colleagues are also improving SkillOps’ CRM and how people work together as the company grows.

That connects directly to his agent idea. Finding a potential contract starts a chain of work: someone checks the fit, the team decides whether to pursue it, and a proposal takes shape.

Pick one thing your team checks repeatedly. Define what matters, who should hear about it, and what happens next. That is the kind of focused task behind David’s approach.