Observe.AI named a Leader in IDC MarketScape for AI-Enabled Workforce Engagement Management

Observe.AI named a Leader in IDC MarketScape for AI-Enabled Workforce Engagement Management

Recognized for redefining Workforce Engagement Management through AI-driven insights and automation.

Observe.AI was recently named a Leader in the IDC MarketScape: Worldwide AI-Enabled Contact Center Workforce Engagement Management 2025-2026 Vendor Assessment (doc #US53001425, December 2025). We believe Observe.AI is driving the next era of agent-first, AI-powered transformation. Customers expect fast, empathetic support, leaders demand airtight compliance, and agents are juggling increasingly complex conversations. Traditional Workforce Engagement Management (WEM) platforms cover scheduling, QA, and performance, but the real shift is happening at the intersection of WEM, conversational intelligence, and AI Copilots. This convergence is where organizations unlock true agent empowerment, real-time guidance, and smarter operations, and where we continue to lead.

Challenges that Can’t be Ignored

Navigating Blind Spots

Most operations leaders are flying partially blind. They’re sampling a tiny fraction of calls, relying on manual QA forms, and making big decisions on incomplete data. That leads to blind spots in customer sentiment and emerging issues, inconsistent understanding of why KPIs move up or down, and missed opportunities to improve scripts and processes. Conversational intelligence changes this by transforming every interaction across voice and digital into structured, searchable data. We automatically surface patterns in behavior, objections, silence, dead air, and more, so leaders can see exactly what’s happening at scale, not just on a handful of calls.

Always a Step Behind 

Traditional QA is slow and reactive. Analysts spend hours listening to calls, scoring them manually, and chasing down coaching moments long after the fact. The results are low sampling coverage, lots of inconsistent (and subjective) scoring, and delayed feedback that does not impact customer experience fast enough. That’s why we use AI to auto-score interactions against your own QA forms and business rules. Instead of burning time on basic checks (like compliance language), QA teams can focus on outliers, edge cases, and deeper coaching. This means higher coverage, more consistent scoring, and a QA process that actually keeps pace with your business.

Processes That Slow Everyone Down 

Agents are often stuck jumping between systems, searching for answers, and writing long after-call notes. Customers spend time waiting, error rates are higher, and agents are frustrated.  It's a lose-lose for everyone.  But Observe.AI AI Copilots tackle this head-on. During calls, Copilot can guide agents with real-time prompts, reminders, and helpful steps tailored to the conversation. After the call, it can draft automatic summaries and dispositions, cutting down wrap time and improving accuracy. Multi-modal Auto QA can also measure success across not only the spoken conversation, but how well the agent executed on the tasks at hand. Agents spend more time engaging customers, less time clicking and typing. Win- win. 

Coaching that Can’t Keep Up

Leaders know coaching is critical, but traditional methods are hard to scale. Identifying who needs what coaching, and backing it up with real examples, can be a full-time job. But with Observe.AI you can pinpoint exactly which behaviors are impacting KPIs, leverage agentic AI to auto-generate coaching opportunities from QA and interaction insights, and use real call snippets and transcripts to coach more effectively. Supervisors no longer have to spend countless hours identifying trends and the most important opportunities. AI Coaching Copilot does it for you. This makes coaching more data-driven, personalized, and scalable—so you’re not just coaching more, you’re coaching smarter.

Compliance is Risky Business

Compliance checks are often treated as a box to tick, but manual methods are risky. Missing a disclosure or mishandling sensitive information can create real financial and brand risk. By combining conversational intelligence with WEM workflows, we can flag potential compliance issues in real time, auto-score adherence, and provide a verifiable audit trail across interactions. That turns compliance from a reactive chore into a proactive strength.

Understand every conversation and empower agents

Modern WEM isn’t just about who’s scheduled and how they’re performing. It’s about deeply understanding every conversation and empowering agents in the moment. By bringing together conversational intelligence, AI Copilots, and robust QA and coaching workflows, Observe.AI helps contact centers operate smarter, move faster, and deliver the experiences customers now expect.

Learn how we can help your organization achieve smarter automation, faster insights, and effortless scalability. Request a demo

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Frequently Answered Questions

Chrissy Calabrese
Director of Product Marketing
LinkedIn profile
December 9, 2025