Mehwish Latif
At this year’s Ignite conference, Microsoft unveiled its vision for the next chapter of AI with specialized agents like Project Manager, Facilitator, Interpreter, and Employee Self Service. These solutions are more than technological upgrades, rather, they signal a shift towards more efficient and intelligent AI enabled workflows.
At ZIRO, we see this as the beginning of Phase Two of AI; a paradigm shift that will delineate the leaders from laggards.
So, what does this new technology mean for enterprises? And how can businesses position themselves for success in this new era of AI?
The Dawn of Phase Two of AI
“We overestimate the change that will occur in the next two years and underestimate the change that will occur in the next ten.”
Most enterprises have interacted with AI, primarily using it as an automation tool. Take Microsoft Copilot for example: it transforms how teams work by summarizing calls, generating presentations, and creating intelligent recaps complete with action items and key highlights like names, dates, and tasks. With features such as AI-powered calling in Teams Phone and Copilot, businesses can gain real-time insights, draft notes during conversations, and streamline follow-ups—all from within their Teams app.
This initial phase, while transformative in its own right, enables developers to streamline the creation of automated processes with minimal coding.
However, the full potential of AI extends far beyond automation.
The true transformation lies ahead, as AI begins to mine extensive data sets to present insights that enable business leaders to make better informed decisions. This shift towards using AI to process information and uncover meaningful intelligence is what will define the next decade. We’re at the cusp of this transformation with the introduction of AI agents, marking our entry into Phase Two of AI.
Judson Althoff, Microsoft’s Executive Vice President, is already capitalizing on this shift. As Microsoft plans to sustain growth over the next 3 years without adding any material headcount by equipping each employee with their own AI copilot and agents.
This approach underscores a significant evolution in workplace dynamics, moving beyond mere task automation to genuine enhancement of productivity through complex process automation.
Satya Nadella’s recent keynote at Microsoft Ingnite draws a perfect parallel, stating that Copilot acts like a smartphone, while AI agents are like the apps that transformed how we use our mobile devices. Just as apps revolutionized smartphones, AI agents are set to revolutionize business operations. They are not designed to replace human workers but to amplify their productivity by automating time-consuming tasks.
Embracing Change with AI
As we step into Phase Two of AI, it’s crucial to acknowledge that embracing AI and technology literacy is still not widespread. Many of us have started using tools like Chat GPT, Gemini, and Copilot to handle our everyday tasks. While these tools are certainly helpful, they haven’t sparked the revolutionary changes many had hoped for. This has led to a bit of skepticism about the next big leap in AI, with some even dismissing these advancements as mere hype.
It’s human nature to resist change, especially when the new technology doesn’t immediately meet our high expectations. However, the reality is that the march of innovation won’t wait for everyone to feel ready. In fact, according to a recent Cavell Group report, over 70% of large enterprises and multinational organizations have reported increased demand for voice enablement in Microsoft Teams. This growing demand underscores that large enterprises are seeking more than just a change in their telephony systems; they are strategically preparing themselves to leverage the advancements brought forth by Microsoft’s AI agents and Copilot, ensuring they remain at the forefront of innovation.
Therefore, those who drag their feet, wary of new tech, risk falling behind. Standing still is not an option in a world that’s always moving forward.
ZIRO's Path to Making Tech Superstars
Businesses want a communication and collaboration strategy that works now and evolves as their needs change (internally or externally). As organizations focus on provisioning their AI with appropriate access management, they often overlook a crucial component: voice data.
Voice data is the secret to building such a strategy. It’s the missing link, the untapped resource that holds the key to understanding sentiment, feedback, and engagement in ways no other data can.
However, most organizations are still keeping their telephony systems disconnected from their core data platforms like Microsoft 365. This oversight creates a significant blind spot.
When your phone system sits outside the tenant—whether on-premises or in the cloud—you’re missing opportunities to harness valuable insights. Integrating voice data isn’t just about better usability, it’s about making AI work smarter for you. Without it, AI is like trying to navigate the world without sound or context. It misses out on the richness of human interaction, leaving critical insights untapped.
This isn’t just a nice-to-have; it’s essential.
ZIRO is AI Customer Zero
At ZIRO, we practice what we preach. Our team is leveraging AI to analyze conversational data, gaining critical insights into customer needs, sales triggers, and pain points. This data informs our strategy and empowers us to deliver better outcomes for our clients.
But we don’t stop there. We’re committed to helping our partners and customers navigate this transition through hands-on workshops and training sessions. By integrating tools like Microsoft Copilot into our programs, we ensure our clients are not just users but masters of the technology.
AI Agents and Voice Data: A Perfect Partnership
The power of AI agents lies in their ability to process vast amounts of data and provide actionable insights in real-time. But to be truly effective, these agents need comprehensive training—and voice data is key.
Here’s why:
- Contextual Understanding: Voice data adds nuance, capturing tone, emotion, and context. AI agents trained on this data can better understand user needs and respond appropriately.
- Personalized Interactions: By analyzing past conversations, agents can tailor their responses, offering personalized solutions that enhance user experience.
- Continuous Learning: Voice data provides a constant stream of real-world interactions, allowing AI agents to evolve and improve over time.
For instance, consider a customer support AI agent. When trained on voice data, it can not only resolve queries faster but also detect dissatisfaction from tone alone, enabling proactive solutions before issues escalate.
We also empower our clients to navigate this AI-driven landscape. Through workshops and hands-on training, we help organizations integrate tools like Microsoft Copilot, ensuring they’re equipped to maximize their ROI. Our goal is simple: make our clients the heroes of their own AI journeys.
Preparing for What’s Next: Lead or Be Left Behind
The announcements at Microsoft Ignite 2024 reinforce what we’ve been advocating at ZIRO: AI isn’t a trend; it’s the future. Businesses that ignore its potential risk obsolescence. The shift to Phase Two of AI is a pivotal moment—embracing it will mean unprecedented growth and efficiency, while hesitating will lead to stagnation.
At ZIRO, we’re ready. Are you?
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