experience & systems enablement.


Fix What’s Broken.
Build What Works.

experience, systems

& Agentic Design.

Fix What’s Broken. Build What Works. Automate What Scales

Employer branding, recruiting, and talent systems rarely fail because of effort.
They fail because the experience underneath them doesn’t hold.

Tools don’t connect. Processes don’t reflect reality. Teams work around systems instead of being supported by them. Vendors optimize their piece of the puzzle, but no one owns how it all fits together.


And now AI is being layered on top of all of it, before the foundation is ready, and often without a clear sense of where it actually fits.


That's where Experience, Systems & Agentic Design comes in.


GBS helps organizations design, stabilize, and strengthen the systems behind employer branding and hiring, and build the agentic AI workflows that make those systems smarter, faster, and more sustainable.



This is not about ripping everything out or starting over. It's about understanding what's broken, preserving what's working, and building a foundation your people can actually use, trust, and sustain, including the AI you put on top of it.

What Experience, Systems

& Agentic Design includes

This work can take many forms, depending on where an organization is starting.

Four things

we know to be true

Automate the chaos and you've just made the chaos faster.

You've probably felt the pressure to move faster with AI. Maybe you've already started. But if the process underneath wasn't working before, automating it doesn't fix it. It just means the same broken thing happens at scale, faster, with less visibility. The organizations that win with AI aren't the ones who moved first. They're the ones who built something worth automating before they hit go.

The workarounds

become the work.

You know the process is broken. Your team knows it too. But everyone is so deep in the doing that nobody has the bandwidth to stop and fix it. So the workaround becomes the standard. The manual step becomes the training doc. The thing that was supposed to be temporary becomes the thing your newest hire learns on day one. And at some point, nobody remembers why it works that way. It just does.

Friction isn't always

the enemy.

But it is always a signal.

You've probably stopped noticing some of it. The extra step nobody questions. The handoff that always requires a follow-up. That's not just inefficiency. It's information. And in a world where candidates are showing up with AI in their corner, the friction you're designing, or the friction you're just inheriting, matters more than ever.

The sequence matters more than the speed.

You didn't get here by moving too slow. You got here by moving in the wrong order. AI before the process was clear. Tools before the problem was defined. Automation before anyone agreed on what success looked like. It's not a failure of effort. It's a sequencing problem. And the good news is that's exactly the kind of problem that's fixable, once you can see it.

This is why we start with diagnosis.

 Because we've seen what happens when you don't.

Our approach is grounded in these core principles:

Diagnosis before solution

We map what's actually happening before we recommend anything. That includes understanding where emerging technology fits, and where it doesn't yet. The right answer is only right if it's based on what's real.

One size fits one

Every organization has different constraints, maturity, and goals. The work, including any AI or agent work, is designed to fit your context, not a template. And now, for the first time, the technology can be too.

Fix what’s broken without breaking what works

We don't come in looking to replace everything. We come in to understand what's holding and what isn't. What's worth keeping, what needs fixing, and what was never going to work in the first place. Then we build from there.

Teach while we build

Our goal is not dependency. It's capability. That applies to systems, processes, and agents. We build with your team, not just for them, so when we're done, the knowledge stays. The organizations that win with AI aren't the ones with the most tools. They're the ones who know how to use them.

This is experience design at the system level, not just the surface.

How GBS approaches

this work

GBS is vendor-agnostic by design.

Vendors are incentivized to optimize their product.
We’re focused on optimizing the system as a whole.


That means we look across people, process, technology, and experience to understand what's actually happening, not what the org chart says should be happening. We don't start with tools.


We don't start with recommendations. We start with what's real, and we build from there.

when organizations come to us

Most clients don't show up asking for "experience, systems, and agentic design."


They come because something feels off, stalled, or harder than it should be.



Sound familiar?

01

“We’ve invested in the tech, but it isn’t delivering what we expected.”


02

“Our hiring experience feels fragmented across tools, teams, and vendors.”

03

“We’re spending a lot, but adoption and outcomes are inconsistent.”

04

“A vendor or partner didn’t land the work, and now we’re stuck with it.”

05

"We know AI matters, but we don't have the capability in house to know where to begin."

06

"We're tired of buying technology that almost works. We want something built for us."

You don't need a perfect diagnosis to begin.

You just need a partner who can help you find it.

Who this work is for

Experience, Systems & Agentic Design is especially
valuable for organizations that:

Are investing in employer branding, recruiting, or talent technology and need it to actually deliver

Are navigating complexity across vendors, tools, and teams with no one owning how it all fits together

Want to move forward with AI but need the foundation to be ready first

Have tried to implement something and it didn't land the way it should have

Want to move forward with AI but need the foundation to be ready first

Have tried to implement something and it didn't land the way it should have

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FIX WHAT'S BROKEN.

BUILD WHAT WORKS.

AUTOMATE WHAT SCALES.

Experience, Systems & Agentic Design exists to protect your investment, your people, and your momentum.



Whether you need us to diagnose what's not working, build the foundation for AI, scope and build agents with your team, or help you develop the internal capability to sustain it all, we'll meet you where you are and build from there.

Let's build something
worth automating.

FAQs

  • What is Experience, Systems & Agentic Design?

    It's the practice of making your hiring and employer brand ecosystem work as a coordinated, intelligent whole. That means fixing the systems, processes, and experience layers that aren't working, and building agentic AI workflows on top of a foundation that's actually ready for them. Most organizations have one without the other. We help you build both.

  • What is an AI agent, and how is it different from the AI tools I'm already using?

    Most AI tools respond when you ask them something. An agent acts. It can execute multi-step workflows, scan for information, generate outputs, make decisions, and hand off to the next step, without someone prompting it every time. The difference between AI assistance and agentic AI is the difference between a tool and a teammate.

  • Why would we need a partner if we already work directly with vendors?

    Vendors typically focus on their product or service area.


    An independent partner can evaluate how the entire ecosystem functions, identify gaps between systems, and recommend improvements that serve your organization’s broader goals. This perspective helps ensure decisions optimize overall performance, not just individual components.

  • How do I know if my organization is ready for AI agents?

    Most organizations aren't as ready as they think, and that's not a criticism. It's the reality. Agents require clear processes, defined outcomes, and clean enough data to act on. If your workflows are ambiguous or your team is still working around broken processes, an agent will automate the chaos, not fix it. That's exactly what Step Zero for AI addresses.

  • We already work with AI vendors. Why would we need an independent partner?

    Vendors are incentivized to optimize their product. We're incentivized to optimize your system. Those are very different goals. No vendor relationship influences our recommendations. No product roadmap constrains what we build.

  • Can you teach our team to build and maintain agents themselves?


    Yes. That's a core part of how we work. Our goal is capability, not dependency. We scope and build agents with your team rather than for them, and we offer enablement tracks for internal practitioners who want to identify use cases, scope builds, and maintain agents over time.

  • What does “vendor-agnostic” mean in practice?

    Vendor-agnostic means recommendations are based on your needs rather than any commercial relationship with a specific provider.


    This allows for objective evaluation of technologies, processes, and partnerships to determine what will deliver the best results for your organization

  • Where do we start if we don't know what we need?

    You start by telling us what's hard. Most clients don't come to us with a clear brief. They come because something feels off, stalled, or harder than it should be. You don't need a perfect diagnosis to begin. You need a partner who can help you find it.


  • Will our team be able to maintain improvements after the engagement ends?

    Yes. A core objective is enabling your team to operate effectively without long-term dependency on external support.


    This includes clarifying processes, improving documentation, transferring knowledge, and building internal confidence. Ongoing support is available if desired, but independence is the default outcome.

  • Do you just advise, or do you help implement solutions?

    We do both. Our work combines strategic guidance with hands-on support to ensure recommendations translate into real-world improvements.


    Equally important, we focus on building internal capability so your team can continue operating effectively after the engagement.