娇色导航

Our Network

How SymphonyAI Uses Generative AI to Revolutionize Enterprise IT and Employee Onboarding

Overview

In today’s fast-paced enterprise environments, internal operations can no longer rely on spreadsheets, email chains, or disconnected systems. That’s where SymphonyAI steps in—leveraging the power of to transform how companies manage IT workflows, onboard employees, and deliver cross-departmental support.

In our latest episode of DEMO, host Keith Shaw sat down with Tim Lawes, Senior Sales Director at , to explore how their AI-powered platform integrates with tools like Microsoft Teams, Slack, and Workday to automate tasks, reduce ticket resolution times, and boost employee productivity from day one. From intelligent co-pilots that answer policy questions to back-end automation that triages IT incidents in real time, SymphonyAI aims to redefine enterprise service management. Read on to learn how this scalable solution is helping global organizations modernize operations—securely and efficiently.

Register Now

Transcript

Hi everybody, welcome to DEMO, the show where companies come in and show us their latest products and services. Today I'm joined by Tim Lawes—he's the Senior Sales Director at SymphonyAI. Welcome to the show, Tim.

Thanks for having me, Keith.

All right, tell us a little bit about SymphonyAI and what you're going to be showing us today.

We’re a company with around 3,000 employees spread out across the world. We serve multiple industries, all built on AI technology. We have divisions for financial crime, retail and CPG, industrial, media, and I’m here representing the enterprise IT division.

So, since the company name includes "AI," I’m assuming you’re going to show us something related to artificial intelligence or generative AI.

That’s a safe bet. The enterprise IT division is actually a backend platform designed for every employee to use. Regardless of company size, say you're onboarding a new employee—that workflow process can go through our platform. So, from day one, that employee is using our backend system.

The main users are IT service leaders—those handling tickets or internal requests. But it’s grown into what we call enterprise service management, because departments like HR and Finance also need to support employees. So, they all end up using our platform.

Okay, so what's the main problem you're solving with this? Why should a company care?

It’s really about driving efficiency. Think about onboarding an employee 10, 15, 20 years ago—that might’ve involved circulating emails or leaving sticky notes. Eventually, someone would forget the laptop, or the parking pass, and the new hire would sit idle for days.

With our platform, it’s about modernizing those processes—adding workflows, and using generative AI to take it to the next level.

This must require a lot of internal data. You can’t just take a consumer-grade generative AI tool and plug it in, right? Exactly.

The sweet spot is integration. We want our generative AI copilot to connect with as much of a company’s tech stack as possible—up to where it makes sense. That way, it can run API calls across platforms.

For example, if a company uses Workday as their HRIS system, we want to seamlessly push and pull data—handling onboarding, offboarding, promotions, insurance—everything in a streamlined way.

You mentioned that without this, companies would rely on endless email chains. What else might they be doing? Would they be looking at other AI tools? What makes SymphonyAI unique?

We’re a highly scalable platform. Sometimes when we enter a new sales cycle, the prospect may be using a competitor—but surprisingly, a lot of large companies don’t have a backend platform at all. They may rely on spreadsheets, shared inboxes, or patched-together tools from mergers and acquisitions.

That’s where we come in—providing a single source of truth. Employees can go to one portal, or use our generative AI copilot via Microsoft Teams or Slack. It meets the employee where they work. That way, all departments and support groups use one platform.

All right, let’s dive into the demo. You’ve got a couple of use cases to show us. Yep, for sure.

I'll start with our service portal and go through a basic end-user scenario. I’m based in Raleigh, North Carolina—and I had to travel here for this interview. Let’s say I’m a new employee and don’t know the travel policy.

I can go to our copilot and ask, “How do I travel to Boston?” The copilot is like your best friend at work—the one who's been there 20 years and knows everything.

I can ask it, “I’m traveling to Boston for three days, what’s my travel per diem?” It tells me I have $60 per day (a bit skimpy with inflation!), and it also references our travel policy.

It’s actually running an API call and pulling info from a 30– to 50-page PDF, summarizing just the relevant content. I can then continue a natural conversation: accommodations, regional info, etc. If I drop my laptop in a hotel parking lot, I can use Teams to file a service request.

It’s the front-facing support tool for any employee.

Let’s flip to the backend now. If I’m a support tech, and I get a ticket that Outlook isn’t working, our AI suggests how to triage it—suggesting workgroup, impact, urgency, assignment, and priority. That speeds up resolution time by getting tickets to the right hands faster.

Now here’s an example of what we can do inside Microsoft Teams. The same capabilities exist in Teams, Slack, Google Chat—wherever conversations happen. Employees don’t need to go to a separate site, though they can if they want. But most of the value comes from meeting users where they are.

Here, I asked the copilot to schedule a meeting with my colleague Jason Uri. It checked his Outlook calendar and returned two available time slots. I picked one, and it scheduled a Teams meeting automatically.

You could’ve used this to book guests for this show! Exactly.

This is just the first iteration. Soon, it’ll book flights, hotels—we’re calling it “AI for Work,” and it's going to have a lot more functionality.

Now, anytime companies use internal data with generative AI, there's concern about hallucinations or security issues—like someone accidentally finding out the CEO’s salary. How do you prevent that?

We take a security-first approach. Every customer gets a single-tenant architecture—no data is co-mingled. To access the system, you authenticate—like I did through Teams. The system inherits your roles and permissions. So, if I don’t have access in Workday to see CEO compensation, then the copilot can’t access it either.

It uses your token to enforce those same permissions across integrations.

So, how long does it take to install and integrate this? Are we talking six months?

It’s actually very fast. We’ve got around 300 out-of-the-box connectors. The longest part is just figuring out what you want to do—where to plug it in, what problems you’re trying to solve.

The platform uses Microsoft’s OpenAI LLM in our Eureka AI platform, so it’s ready to go on day one. But those custom connectors may take a bit more time.

Do companies usually come in with one idea and then realize they can do way more? All the time.

They’ll come in with one goal and then say, “Oh, we can also do this, and this, and this.”

Do you offer a free or 30-day trial? 09:58 Yes, absolutely. Just go to SymphonyAI.com and request a demo or trial. The trial spins up automatically with your own environment, and someone from our team will walk you through different scenarios.

All right—Tim Lawes from SymphonyAI, thanks again for giving us a demo. That’s going to do it for this week’s show. Be sure to like the video, subscribe to the channel, and drop your thoughts below. Join us every week for new episodes of DEMO. I’m Keith Shaw—thanks for watching.