Infoblox

Sr. Director, Customer Assurance

KG Consulting

🤖 AI Integration for Business Decisions: Utilizing AI to Improve Decision-making processes.
⚙️ Prompt Engineering and AI Application: Advancing Understanding and Usage of AI for Business Enhancement.
🗃️ Project & Program Management: Ensuring efficient, goal-oriented project outcomes.
💼 Strategic Planning & Execution: Crafting and implementing business strategies informed by extensive industry experience.
📊 Organizational Resilience Assessment: Evaluating and strengthening resilience to market fluctuations.
🚨 Guidance in Crisis Management: Offering leadership to navigate through complex challenges.
🗂️ Process Optimization: Refining operations for optimal efficiency and effectiveness
📑 Customized Consulting Solutions: Developing personalized strategies for unique business needs.
📂 Industry Insights: Providing knowledge and expertise across diverse sectors.

Consultant

Uniphore

Vice President Of Global Customer Support & Technical Services

Cisco

Director:  New Product Intoduction (NPI) and Serviceability

CAP Americas Senior Manager

Critical Accounts Executive

GBS:  Shared Service Operations Manager

Manager Strategy & Operations

Finance Business Manager

I'm an executive specializing in AI operations, program management, strategic leadership, and financial management. With a keen focus on enhancing customer experiences and driving operational excellence, I bring a forward-thinking approach to business challenges. 📈 Proficient in Generative AI, crisis management, and prompt engineering, I skillfully navigate complex scenarios with agility and creativity. 🤖

My MBA and professional certifications equip me to excel in diverse, international environments, combining innovative thinking with effective vendor management. 🌍 I'm committed to operational effectiveness and continuous improvement.

Leadership for me is about mentoring and developing teams, fostering a culture of collaboration and fostering proactive change. 🌱 My program management expertise is evident in streamlined processes and robust training initiatives, ensuring peak team performance. 🛠️

As a strategic thinker and advisor, I prioritize innovative solutions and value customer insights. 🎧 My objective is to lead with expertise and humility, striving to not just meet but exceed organizational goals while empowering and uplifting my team. 💪

⎸Kristin │Gault

Sara Davison

AI Build Lab

Co-Founder

Maivenly

AI Strategy | Implementation | Enablement

The AI Agency Where ROI Comes Before AI. 

At Mavenly, we prioritize real business results over just adding more technology. We’ve seen AI in action and know its potential, but our focus is on driving substantial ROI above the technology itself.

Our systems-based approach minimizes risks and ensures sustainability, especially important with the changing technology landscape. Here’s how we do it:

	•	Strategy: Starting with your goals & objectives & aligning AI to that - not the other way around
	•	Small & Compounding Implementations: We start with small, compounding implementations, removing bottlenecks and building space for growth, ultimately scaling with compounded AI capabilities
	•	Enablement: Equipping your team with the skills they need to continue to be successful long after our engagement 

We start small, removing bottlenecks and building space for growth, ultimately scaling with compounded AI capabilities.

We partner with ambitious, growth-oriented businesses who know the power of AI and need to partner with the right people to harness it.

Founder & Owner 

Maven

Teaching professionals how to implement AI and agentic workflows that scale businesses

AI Educator & Instructor

Light Magic AI

A group of AI Practitioners that come together to work on projects

AI Practitioner

The AI Exchange

This role is with The AI Exchange as part of the AI Ops Fellowship program asAI Ops Curriculum Developer.

AIOps is an emerging field that will play a critical role in every company's AI adoption strategy since it is centred on the act of *applying AI* in our work & organisations.
It's a huge privilege to be part of a team that is at ground level, defining & leading the direction of this highly demanded skillset & expertise which is only set to grow.

In this role, I'll be helping develop curriculum for AIOps courses working closely with the AIX team to create engaging educational content and resources that will support the learning, AI adoption, and career advancement for AIOps professionals.

With demand skyrocketing for skillsets of professionals who can guide companies into actually applying AI within their work, there is an urgent need for accessible, impactful educational programs to support this a new generation of AIOps practitioners & orgs looking to adopt this function.

Previous to this fellowship I was a very active leader in the AIX community & hosted weekly sessions with some exceeding 100 attendees.

AI Ops Curriculum Developer 

Kinly

I founded Kinly, an online marketplace & ecosystem where parents can easily discover and instantly book local services that support their families, when becoming a mom myself, I was looking for a convenient way I can get things done online for my family. I was astounded in this day and age, that there was nothing on offer for new moms to find the support they needed easily. The new mom economy is a $50bn a year market opportunity in the US (Forbes). 
I also believe that Every Home & Every Child deserves to have access to the services that support their wellbeing & help them thrive.  Every booking on our platform enables us to support children and communities around the world with life-supporting impacts (food, clean water, access to medication & education).  
By connecting thousands of parents to local services in both Australia & the US we have been able to impact thousands more lives across the world.

Founder

Responsible for partnering with Customer Strategy, third parties and product development to ensure Customer Value Propositions requiring a product and / or technology component can be commercialised and designed into tangible business opportunities.
A strong focus on consumer cards and rewards programs.
Accountable for designing and delivering CVP strategies into tangible and commercial opportunities through product design and technical integration, with an appreciated application of customer insights, market, competitive and commercial considerations.
Leading the scoping, recommendation and business casing of key strategic initiatives, with a focus on third party relationships.
Leading the formulation of negotiation strategies and contracts management for key third party relationships.
Responsible for evaluating, scoping, engaging and managing strategic partnerships and third parties to determine suitability and synergies from a strategic, commercial, product value and technical perspectives.

Manager - Proposition Commercialisation, Product & Customer Solutions

Responsible for developing and managing the largest corporate alliances and partnerships on behalf of the Bank. This role is focused on the development of rewards programs and products, enhancing commercial value and innovative solutions by leveraging our alliance and partnership relationships; their assets, capabilities, infrastructure and technology. 

Alliance Assessment & Development
- Assessing new alliance and partnership opportunities
- Evaluating and reporting on the commercial value and profile of the relationship
- Identifying and executing on strategies to develop further commercial value 
- Developing an intimate understanding of the partner business, its objectives and strategies, identifying key areas of synergies and opportunities
- Development of commercial strategies for the relationship that align with the Bank's priorities and objectives 

Contract Management
- Assessing and reviewing contractual arrangements
- Developing negotiation strategies to deliver value for both parties
- Leading contract negotiations in collaboration with other business devisions, e.g. legal & procurement

Solution Development
- Identifying and developing key areas of opportunities between the parties
- Working alongside marketing, product and innovation teams to progress the development of opportunities to solutions
- Contributing to and informing requirements gathering
- Ensuring all legal and contractual arrangements and protections are in place 
- Overseeing the end to end process of third party engagements for the development of solutions, from concept creation to Go Live

Relationship Management & Stakeholder Engagements:
- Overall responsibility for partnership and alliance relationships
- External engagement, typically with Heads of, GMs and CEOs
- Internal stakeholder management, to Director and CEO level
Internal stakeholder management is a significant focus of this role due to the substantial nature of these relationships.

Manager - Commercial Development, Strategic Alliances

Kiwibank

Responsible for engagement and acquisition of large corporate clients for a significant national digital identity verification solution.
Complex technical solution selling with a focus on the financial services and utilities sectors.

Business Development Manager, Agency Services

Responsible for managing a multi million dollar portfolio of clients for the provision of payment solutions.

Key Account Manager, Payment Services, Kiwibank

Responsible for corporate sales of prepaid cards with a national territory.

Business Development Manager - Prepaid Cards

Scale A Business With AI & Agentic Workflows -> 8,000+ People Educated In 2025's Most In Demand Skill | CEO & Founder | AI Agents & Agentic Workforce | Done For You Or I Show You How | AI Speaker & Educator

I upskill individuals and teams on how to become the 1% with agentic AI

Three signals that don't lie:
 ⚠️ 700,000 unfilled AI roles by 2027  (Bain & Co)
📊 Average AI salary: $206K (up $50K in 12 months) (Qubit Labs, 2025)
 🚀 85% of tech executives have delayed AI projects because they can't find this talent (IBM). 

The market is screaming one thing: 
                                                        we cannot find people who can actually do this.

Not theoretical AI strategies on a slide deck. 
Not people who took a weekend course on the latest tool.

Real practitioners who can build agentic systems that scale, adapt, and survive in production when models change and platforms pivot.


BCG says clearly that finding the right talent is 1 of the top 3 challenges facing orgs that are moving towards agentic AI: 

👉🏼 👉🏼 👉🏼 "Agentic AI requires a mix of advanced technical talent such as AI-prompt engineers, AI or machine language specialists, and data engineers as well as business translators who can map AI use cases to workflows. Most organizations underestimate this need."


That's exactly what we teach.

We don't train you on tools that'll be obsolete in six months. 

We train you to think like an agentic AI practitioner: someone who understands system architecture, agent orchestration, deployment at scale, and how to build solutions that work regardless of which model drops next week, or what tools are hot today.

Our November cohort is the last one for 2025. 

After that, prices increase in the new year.

I can't find enough words to tell you the time is *right now*

The opportunity is massive, and 2026 is when this market fully breaks open.

If you want to join well over 1,000+ people who are ready for this shift, here's the link:

https://lnkd.in/eb6VxaqE

Personally, I believe 2026 is the inflection point for AI agent adoption.
But I also think most AI agent projects will fail.

The reason is we're in the tension between what's possible with agents and what organizations are actually built for.

And it shows up in three distinct phases:

Phase 1️⃣: The Confusion Era
People think a chatbot = an agent. Still measuring outputs instead of outcomes. Still treating AI like an add-on, not an architecture shift.
The mindset: "Agents sit on top of the work." 
Reality: Agents changes the nature of the work.

Phase 2️⃣: The Tooling Explosion
The technology is finally ready.
Drag-and-drop agents. Multi-step reasoning. Memory. Context windows that support complexity. 
The tools democratized the build. 
Ontologies, context pipelines, orchestration now all abstracted away behind a click.
It's never been easier to build an agent.
But that convenience comes with a catch.

Phase 3️⃣ : The Organizational Gap
This is where everything breaks.
The tech matured faster than the org structure. 
The workflow, decision chain, roles, incentives, and skill sets inside most companies are still built for the "old world."

The tension is brutal:
→ The technology is ready. → The work culture is not. → The org design is outdated. → The operators don't have the mental models to manage systems that learn, iterate, adapt.

That's why "lets become an agentic org" doesn't work inside most companies.

The work hasn't evolved yet.

We need new patterns of collaboration between people and agentic teams.

New roles: agent architects, agent operators, agent reviewers.
New rituals: weekly system reviews, evals, feedback loops, context refinement.
New expectations: workflows that shift from static to fluid, from rigid to adaptive.

This is why so much of our work sits in education and enablement.

The real question is how do we redesign the way work gets done so agents can actually deliver on their promise?

What are you seeing out there?

We're wrapping Cohort 6 of our advanced Agentic Workflows class today, and there's something weird happening that I haven't figured out how to talk about yet.

People stop being doers.
Not because the AI agents do their job. 
They stop *being* the person who executes, and *become* the person who architects the doing.

Here's what that actually looks like:
Someone comes in who's been writing analyst reports for 8 years. That skill is their professional identity.
Week 4, they build an agent that can draft the report one part of the report.
Week 6, they're celebrating. They've built the agentic team that gets it all done.
Week 7, something shifts.

For some, it's a small existential crisis. If the agent drafts it and they're just editing... what's their actual job now?

For others, it's their first look into the possibility of reinvention.
They stop asking "how do I make this agent write better?" and start asking "what does a good report actually require?"

They move from producing the thing to defining what makes the thing good. From being IN the work to being ABOVE the work.

This is the change of identity i see coming fast.

Most people will struggle w this because their sense of professional value is tied to their ability to execute. 
Now they're being asked to become the person who doesn't. 
Who designs the system. Who governs the output. 
Not does it.

Maybe that feels like less. 
Even when it's actually more.

As agentic systems become more sophisticated & complex there will be people who do work inside systems vs. people who design the systems.

Right now, almost everyone learning "AI skills" is training for the wrong side. They're learning to be better executors: faster prompters, better tool-users.
That's just the start.

The value and leverage coming is actually on the other side. 

Being the person who architects how work flows. 
Who decides what deserves autonomy. 
Who knows when the system is producing garbage even when it looks right.

That's a psychological shift most people aren't ready for.
It requires letting go of the thing that made you valuable: your ability to execute.

I see people make this shift in cohorts, and I see people bounce off it. 

Those who make it through aren't technically better. 
They're just willing to stop being the person who does the work and become the person who architects how work gets done.

That perspective shift (not skill, not tools), is the actual dividing line in the next 24 months.

The question isn't "can you use AI?"
It's "can you let go of being a doer?"

Most people can't. 
Because it feels like losing yourself.

But people who are letting go are reimagining themselves and their work entirely differently.
Not a better version of their old job. 
A fundamentally different relationship to work itself.

As someone who thrives on change I'm excited.

Good? Bad ? 🤷‍♀️ 
But I know it's happening.
And I know most people aren't ready for it.

Thoughts?

"You've got 12 to 18 months max, and your business as it looks like today, will not exist. And that could be the best thing that happens to you."

I heard Daniel Priestley say (something like) that in person at Mindvalley University in Amsterdam, where I was speaking on AI agents (Daniel feel free to correct).

Most people would read that as a threat. 
It hit me in the best way possible because I heard an invitation to reinvention.

It spoke to the exact sentiment I was trying to convey about what businesses, skills, and the workforce will look like with agentic AI.

Daniel told this story: his entire company was built on in-person events. When COVID hit, he could've defended what was. Instead, he asked: What if we worked differently? He went digital. His business scaled beyond what was everpossible before. And if you know anything about Daniel, the rest is history.


That used to feel like an exception. 
A survival story.
Now I realize it's just the shape of things with AI.

Everything is being invited to become something else.

And that's not a crisis to manage. It's a freedom most people haven't accepted yet.

Because here's what actually changes with agentic AI:
Execution stops being the work.

And that's uncomfortable. 
Because we've spent so long proving ourselves through what we do.
For decades, we've measured productivity by presence, by execution, by how many tasks we can manually move from "to-do" to "done."

When an AI agent can execute your processes like an entire workforce of your best, the work shifts. 

Work becomes less about labor and more about intention.

You don't manage tasks anymore, you architect systems. 
You don't follow procedures, you design them. 
You don't execute plans, you evolve them.

Your skills don't disappear in this world. 
They transform. 
The expertise you've built doesn't get replaced: it becomes the blueprint for something bigger. 
You're not multiplied by doing more. 
You're multiplied by thinking differently.

I spoke about AI Agents with Michael (Mike) Stelzner  on the AI Explored podcast from Social Media Examiner. 
Have a listen : https://lnkd.in/dUpUnZfE

https://lnkd.in/dcWk4JtU

One of the  biggest misconceptions right now is that building *effective* agents is easy.

Anyone can drag-and-drop an agent today.
Tools have made building ridiculously accessible: but not necessarily effective.

TBH, the real difference isn’t the interface. 
It’s the thinking behind it:

High-Quality Agent = (Clarity × Context × Constraints) + Continuous Feedback Loops


Clarity → What problem is this agent solving?
Not vaguely. Precisely. Down to the task boundary, success criteria, and failure modes.
 Most agents fall apart here because they’re built around actions, not outcomes.

Context → Does the agent understand the domain? 
Inputs, decision logic, edge cases, exceptions, nuance.
 Context is what gives an agent judgment instead of regurgitation.

Constraints → Guardrails, thresholds, safety checks, rules of engagement.
 No constraints = chaos. Too many constraints = stagnation. The balance is the art.

And then:
Continuous Feedback Loops →
 (The part no one wants to admit matters).
 Agents don’t become good at deployment, they become good through iteration. Observation → Evaluation→ Adjustment 

The tools got easy. The thinking behind it didn't.

I'm not even sure i can say "the pace is fast.”
It really feels  exponential.
And nowhere is the acceleration switch more obvious to me than in agentic AI.

Here’s what the data is telling us:
📈 23% of organizations are already scaling agentic AI systems, and another 39% are actively experimenting (McKinsey, 2025)
📈 88% of senior executives say they’re increasing budgets specifically for agentic AI in the next 12 months(PwC, 2025)
📉 But, over 40% of these initiatives will be scrapped by 2027  *Gartner via Reuters, 2025)

And my favorite:
 📉 47% of the C-suite say talent gaps are the #1 barrier
(McKinsey, Superagency in the Workplace 2025)

The tech is racing ahead. The desire from orgs is there.
 The capability gap to actually execute is massive.

It feels to me that the flip is what's coming in 2026.

We’re not heading into a world where people “use” agentic tools.
We’re heading into a world where people orchestrate teams of agents the way managers orchestrate teams of people.

A world where your value isn’t measured by tasks you complete, but by how well you architect on what needs to be excuted by teams of agents.

I’m proud of the work we've done across 14 cohorts and 1,300+ practitioners already operating like they're in 2026.

They learned how to think in a way that makes agents useful, governable, scalable.

The identity shift from executor → architect.

That’s the real skill of 2026.

And if you want support navigating the noise and seeing the path ahead with clarity, we’re breaking down exactly how we see the landscape shifting: roles, skills, workflows, and what it actually looks like to work inside agentic systems  in our free lightning lesson on Maven:
👉 AI Agents & Agentic Workflows: Your 2026 Roadmap: https://lnkd.in/gUXdmAYE

This is our last public workshop for 2026, join us & get a glimpse of whats ahead

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⎸Kristin │Gault

Sara Davison

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Sara Davison

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Sara Davison's LinkedIn Performance

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