Boosting Your Team’s Productivity with Smart Automation
By Tug DIT team
The workplace is evolving fast. Automation isn’t coming – it’s already here, built into our browsers, inboxes, and brainstorming sessions. Just like search has shifted away from search engines like Google to answer engines and community-building platforms like Reddit and TikTok, productivity is moving away from traditional task lists to collaborative AI tools that think, write, and execute alongside us. At Tug, we like to think of them as companions that help our teams become more agile. While intuitive, AI automation tools remain second in command to the brains behind the prompts.
Seamless Edits and Auto-Scheduled Meetings
Many of us are already weaving agentic tools like Microsoft Copilot and Chat GPT into our workflows in various ways. A prime example is the shift to automation in internal communication methods. Copilot is a great assistive tool for scheduling meetings, managing calendars, and prioritising emails. It helps teams manage their workflows more effectively and with fewer steps. According to data from Super AGI, 60% of companies are already using AI in their marketing efforts, transforming how we work for the better. The days of a basic spell-check are over; editors and content teams can use Copilot and ChatGPT to draft content briefs and content calendars, social posts, reformat text, generate blog topics, and compile research. All this makes them more agile, helping to free up time to spin a more original angle or jump on time-sensitive trends.
But this is just the tip of the iceberg when it comes to the capabilities of Agentic AI.
Less Troubleshooting, More Innovating
Our DIT team is in the perfect position to leverage the power of Agentic AI tools.
Laurence Carton, Tug Data Engineering Manager, explains how AI is an asset when it comes to innovating and managing clients.
“Our Data team holds regular innovation sessions with account managers, client services, and clients to identify pain points and spot new opportunities. Using AI, we can automate the extraction of key points from meetings, build clearer briefs, and suggest timelines and deliverables. As we start to explore more Agentic AI workflows, we’re also able to keep stakeholders updated on project milestones, adjust timelines when priorities shift, and surface the most important work with limited manual input.”
When it comes to coding more generally, the team has thrown out their boilerplate approach, using popular AI automation tools like Claude Code and GitHub with Integrated Development Environments to accelerate bug fixes and build code more efficiently. The result? More bandwidth, higher-quality data products, and a greater competitive advantage.
“These AI tools provide real-time suggestions, automate repetitive coding tasks, and even assist with debugging and documentation, significantly reducing development time,” adds Abhijeet Wani, Tug Data Operations Exec.
Assistive = Working smarter
For forward-looking teams, the real question isn’t if they should embrace AI — it’s how. Which tools offer actual value? Where can automation free up human capacity? And how do we use this shift to grow, not just work faster?
To recap, AI isn’t replacing your team, it’s amplifying it. These tools don’t just save time; they raise the ceiling of what’s possible. Content teams can ideate and scale write-ups with less friction, while Dev teams become architects of smart workflows.
From our project pipeline to yours, our proprietary Helpful Content tool is living proof of how AI automation tools can help take the grunt work out of large-scale auditing. Using the same LLMs as Google to evaluate content helpfulness, our tool helps marketers quickly identify areas to improve web content, making it easier to stay ahead of algorithm shifts.
