AI Services

I build AI systems that run in production, and I coach from inside them. What I've built: I design and operate agentic pipelines in daily use — scheduled agents that detect new reporting, stage collection runs, and produce structured triage boards a human reviews and decides on. I'm in these every day, not advising on them from the outside. I built the governance framework first and the workflows on top of it: policies for safe, ethical, and transparent use, data handling, and output quality control. Turnaround on recurring deliverables dropped by more than 60% while holding human-verified quality standards. I lead hands-on AI implementation for a consumer-products company — tools their staff use immediately, and training that gets non-technical people applying AI to their own business problems. For another client I ran an AI maturity assessment and a phased adoption roadmap, and escalated vendor-support gaps directly to the owner to control cost and improve performance. Why governance first, and why it isn't paperwork: At a government contractor I integrated CMMI, CMMC, and insider risk into a single governance system rather than running them as parallel tracks. I structured CMMC execution to simultaneously demonstrate the process maturity CMMI required, using one program's discipline as evidence for another's. CMMI Level 2 to Level 3 and full CMMC implementation both completed in under a year. That's the same move that separates an AI deployment surviving contact with a real organization from a pilot that quietly dies. What I check before I automate anything: whether the work traces back to a goal. Automation is faithful — it reproduces whatever it's pointed at, gaps included — so I confirm the process is connected to an outcome before I make it faster. That's why the automation holds afterward. I coach at three altitudes, because the same problem looks different at each: Individual contributor under pressure to produce with AI and unsure how. Team manager who has to coordinate people, standards, and output quality across a team using it. Senior leader accountable for adoption, governance, risk, spend, and whether any of it connects to organizational goals. I've sat in all three seats, in government and in the private sector. If you operate in a regulated, governed, or public-sector environment, that isn't background — it's why my recommendations survive your compliance review. PMP · A-CSM · CSPO · Atlassian Certified

I co-wrote the curriculum for Leland's AI Builder Program (500+ reviews) and coach professionals, 1:1 and in cohorts, through automating their business operations with AI: vibe coding, portfolios, org workflows, data analytics, agentic layers, and cloud-hosted orchestration. Info systems background from BYU, with hands-on experience across frontend, backend, data, and hosting.

I’m the founder an AI consulting and implementation firm that helps businesses identify where AI can create real value and then builds the systems to make it happen. I work directly with business owners and teams to diagnose operational problems and turn the right opportunities into working agents, automations, applications, and integrated workflows. I’ve built and shipped AI systems across a variety of industries: • A vision AI tool that reduced quote times aerospace maintenance and repair • Automated sales and marketing outreach that's generated a millions in revenue pipeline • Lead intake, qualification, and responder agents in real estate, healthcare, and home services • System-wide agentic systems that span CRM, Project Management, and accounting • Model training for a music education technology startup I’ve also helped teams evaluate models, prototype new AI products, and turn ideas that started on a whiteboard into systems running in production. My perspective is also shaped by 15 years of helping organizations adopt new processes and technology. That’s why I tend to start with how the business actually works rather than with an AI tool. The technology matters, but the real test is whether the solution improves the business and whether the people doing the work actually use it.

Pete Atore is an experienced AI Enablement and Transformation leader who has successfully helped both Large and medium-sized organizations implement ROI-positive AI use cases and products into existing and new business operations. Among clients and former colleagues, Pete is known for combining Clear Strategic Business Thinking with Strong Technical AI Expertise to translate business goals into AI use-case implementations that deliver real business value for organizations. Successful AI products and use cases that Pete has led from zero to market are currently being used in production by over 150 million+ customers across Agentic AI, RAG, Dynamic Lexical and Semantic Search, Summarization, ASR Speech Recognition, Multimodal Systems, High Quality AI Data Curation, AI Model Output Evaluation Monitoring, and AI Observability, among others. Pete’s strategic AI transformation expertise includes AI Use Case Experimentation for Lines of Business, AI Governance and Risk Control Frameworks, AI Use Case ROI Analysis, and Workforce AI Training.

I’ve developed my AI knowledge through a combination of formal education, self-directed learning, and hands-on experimentation with generative and agentic AI. I’ve applied that knowledge to practical business use cases, including developing AI-powered workflows and experimenting with multi-agent systems, automation, research, and strategic analysis. I’m particularly interested in helping leaders and businesses understand where AI can create real value, identify practical use cases, and move from ideas and experimentation toward solutions they can actually use.

AI is changing everything and you need to build an organization, team, and culture that succeeds through the change. As CEO & Co-Founder of Leland, I've built an AI-first organization and supported countless other founders, CEOs, leaders, and managers do the same for their organizations too. Whether you're looking to integrate AI into your business or transform your existing strategy, I'm here to guide you every step of the way. Let's chat and explore how we can achieve your AI goals together.

Over the past two years, I’ve been building and implementing AI systems designed to improve operational efficiency across coaching, education consulting, and small-team service businesses. My work focuses on practical applications of AI in areas like talent operations, customer success workflows, knowledge management, and productizing expertise. This includes designing AI-assisted coaching systems, building custom knowledge bases and “AI doubles,” automating high-volume communication workflows, and helping teams integrate AI tools in ways that increase scale without sacrificing quality or authenticity. Before working directly in AI strategy, I spent over a decade as a mentor and advisor helping high-performing students and professionals navigate complex decision-making and career pathways. That background shapes how I approach AI transformation today: not as a purely technical exercise, but as a strategic one that sits at the intersection of people, systems, and judgment. I work with founders, operators, and independent professionals who want to move beyond experimenting with AI tools and instead design thoughtful systems that meaningfully improve how their organizations operate.

Most leaders know AI is reshaping how work gets done. Fewer know how to position themselves and their teams to lead confidently in that shift. My coaching helps leaders build practical AI fluency: how to use AI to communicate more effectively, make faster decisions, scale their thinking, and lead without getting lost in the technology. What makes this different: I don't just coach it, I've built it. The Zaradigm AI Practice Lab (zaradigm.com/ai-practice-lab) gives leaders AI-powered tools to practice real leadership scenarios between coaching sessions. This AI solution is built on actual methodology, not generic prompts. I've also automated business workflows, built AI-driven content and communication systems, and helped leaders integrate AI into how they operate and show up. If you want a thought partner who has done the work and can help you do the same, this is the right coaching.

I'm a Senior Software Engineer at Slack on the DevXP AI team, where my job is literally AI strategy in practice — figuring out how to get engineers and non-engineers across a 2,000+ company to actually adopt AI tools, change their workflows, and build with confidence. I work on the technical and human side of that equation: evaluating tools, designing rollout strategies, building internal tooling, and making the case for AI investment to stakeholders at every level. I've spoken at 100+ events on tech, leadership, and emerging tools — and I'm one of the people in the Latina tech community actively demystifying AI for founders, executives, and teams who feel behind. Whether you're a leader trying to build an AI roadmap, a founder figuring out where AI actually fits in your product, or a team that's experimented but hasn't seen ROI yet — I'll help you cut through the noise, prioritize what matters, and build a strategy you can actually execute on. 💪🏽

I am an AI trainer and strategic advisor who helps executives and teams use generative AI safely and effectively. I provide executive alignment, hands-on organization-wide training, and practical workflow implementation that turns AI into measurable results. My background includes serving as Vice President of Marketing Operations at a company I helped scale from $20M to $500M in revenue, and as SVP of Marketing. This mix of scale-up and enterprise leadership means I understand both the technology possibilities and the operational realities required to make AI adoption stick. With 900+ hours of applied AI experience, from advanced prompting to assistant design, from workflow automation to evaluation systems, I translate generative AI into clear, actionable strategies for leaders and teams at any technical level. I teach core skills executives and operators need: prompting that drives quality, building AI assistants and repeatable workflows, and becoming fluent in the company’s LLM of choice (ChatGPT, Gemini, Claude, or internal models). My goal is to leave you with the knowledge and frameworks to make confident AI decisions that move your business forward.