Key metrics
- 87% of routine social cases handled autonomously, around the clock
- 75% increase in overall team productivity
- One AI-spotted post drove 7,000+ engagements: 155% of the monthly benchmark
This is how social moves from a communications channel to an intelligence system for the entire brand. It informs our content, our creative, and even our product roadmap.
Overview
Upwork, the world's work marketplace, receives more than 180,000 inbound social messages a year. Its lean community engagement team was spending entire days in reactive triage. Then always-on social intelligence took over the watching, so the humans could take over the strategy.
The Problem
At enterprise scale, social becomes a triage problem:
- 180,000 messages a year: A flood of notifications greeted the team every single morning.
- Reactive by default: 'Our days started pretty reactive… time-consuming and emotionally exhausting.' The queue consumed the strategy time.
- An on-call burden: Off-hours coverage meant an anxiety-inducing rotation for a lean team.
- Signal buried in noise: High-value conversations and trends sat undiscovered inside the same queue as spam.
The Solution
Upwork deployed Kai inside the tools it already used:
- Autonomous triage, 24/7: Spam and routine cases sorted and closed around the clock, up to 87% handled without human intervention, including nights and weekends the on-call rotation used to cover.
- Nothing sleeps: Brand mentions, sentiment, and trends monitored continuously, so the moments that break outside business hours no longer wait until morning.
- Trendspotting with drafts: High-value conversations surfaced from the flood with suggested responses, so the team starts from a draft instead of a blank page.
- Executive-ready intelligence: A Social Listening Digest distills thousands of posts into summaries leadership actually reads, delivered where the team already works, with no new dashboard to learn.
Actions and Complex Workflows
The payoff shows what always-on attention is worth: the trendspotting engine flagged a single community comment no human would have found in the flood, and the response it sparked ignited over 7,000 engagements, hitting 155% of the entire monthly engagement benchmark from one post.
The deeper benefit is what the team became. Freed from the queue and the anxiety-inducing on-call rotation, social stopped being a support channel and became a source of direction: 'It informs our content, our creative, and even our product roadmap.'
The Result
Kai changed what the social team is for:
- Always watching: 87% of routine cases resolved autonomously, around the clock.
- Humans upgraded: 75% productivity gain: triage hours turned into strategy hours.
- Signal found: A single AI-spotted comment outperformed the monthly engagement target by half again.
Want to see how Kai can do the same for your team? Reach out at admin@enrichlabs.ai to see how we can help!