A mid-sized operations team needed a solution to handle repetitive internal workflows like task assignment, reporting, and data lookups. Manual work was slowing them down, increasing error rates, and reducing team capacity.We collaborated to design and build a series of internal AI assistants that integrated seamlessly with their existing tools.
These assistants could automate task routing, summarize reports, and fetch real-time insights with just a prompt.The result? Reduced workload, increased efficiency, and happier team members — all without hiring extra staff.
The operations team was spending a significant portion of their day on repetitive administrative tasks such as assigning tickets, compiling status reports, and manually entering data across platforms. These inefficiencies were slowing down project timelines and causing burnout within the team. As their business scaled, the workload increased, but hiring more support staff wasn’t a sustainable solution. They also lacked centralized systems to streamline communication and task tracking. Their tech stack was fragmented, and automation felt out of reach. They needed a smart, cost-effective way to scale their internal operations without adding complexity.
We designed and implemented a suite of AI-powered internal tools that seamlessly integrated with their existing workflows using no-code and low-code platforms like Webflow, Zapier, and OpenAI APIs. These internal AI assistants automated recurring tasks like ticket triaging, team alerts, daily standup summaries, and data lookups. The solution was fully customized, branded to their workflow, and accessible via a clean interface that the entire team could easily use. We started with one assistant and scaled up to three, each tailored to a specific internal need. Everything was delivered within 10 days — no engineering team required. The result: reduced workload, improved team focus, and real-time insights available at a click.
A breakdown of the key value we delivered across design, development, and AI.