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AI-Powered Workflow Automation

Introduction for Wasson Enterprise Marketing Team

For: Kathryn Rogers, VP Marketing | Maria Frampton, Business Development
Prepared by:Vambrace AIVambrace AI

January 2026 | Confidential

About Vambrace AI

We help organizations move from AI experimentation to production systems that deliver measurable results.

Our Approach

We partner with teams to build practical AI tools that drive real results. Our methodology focuses on workflow analysis, solution architecture, implementation, and capability transfer—ensuring your team can maintain and extend what we build together.

Custom AI Development

Purpose-built systems tailored to your workflows. We analyze your processes, identify high-impact opportunities, and build solutions that integrate with your existing tools and data.

Implementation & Training

End-to-end deployment with comprehensive team enablement. We don't just build and leave—we ensure your team understands the system and can evolve it as needs change.

The AI Opportunity

Organizations are investing heavily in AI, but most haven't captured meaningful value yet.

88%

of organizations use AI
in at least one function

<6%

report meaningful
bottom-line impact

~65%

remain stuck in
pilot mode

THE IMPLEMENTATION GAP

The gap between AI experiments and production systems is where most organizations lose momentum. Individual ChatGPT usage shows AI can help—but without integration into real workflows, value remains limited.

Vambrace bridges this gap by building custom systems that connect AI capabilities to your actual workflows, with measurable outcomes and team enablement from day one.

Source: McKinsey Global Survey on AI, 2024

For Wasson Enterprise

Understanding your current challenges and identifying opportunities for AI-powered improvement.

Current Challenges

  • Brand deliverables require significant manual effort
  • Repetitive formatting work across multiple documents
  • Knowledge distributed across various platforms and files
  • Limited IT capacity for custom tool development
  • Team needs structured AI enablement to maximize value

Brand-to-Deliverables Automation

Transform brand assets into consistent deliverables with reduced manual effort. Automate repetitive formatting while maintaining brand standards.

Unified Knowledge Access

Connect distributed information into a searchable, AI-powered knowledge base. Find answers instantly instead of searching across platforms.

Team Training & Enablement

Structured AI training for your team to maximize productivity. Build internal capabilities that compound over time.

Portfolio company potential: Solutions built for Wasson can be refined and deployed across Wasson Enterprises' portfolio companies—creating a scalable AI capability with spin-out potential.

Engagement Approach

A structured methodology that delivers working systems with measurable outcomes.

Week 1-2

Discovery & Mapping

Understand workflows, identify opportunities

  • Document current processes and pain points
  • Identify highest-impact automation opportunities
  • Define success metrics and scope
Week 3-6

Build & Iterate

Develop working solutions with feedback

  • Build initial automation workflows
  • Test with real data and use cases
  • Refine based on team feedback
Ongoing

Deploy & Enable

Launch with training and support

  • Production deployment with documentation
  • Team training and capability transfer
  • Ongoing optimization support
Case StudyGreen Horizons Landscaping

Built an AI-powered quoting system that transformed a manual, error-prone process into automated workflows:

Quoting: Days → Minutes
Data entry errors: Eliminated
Customer response time: 80% faster

"The system Luke built transformed how we operate. What used to take us days now happens in minutes, and our customers are thrilled with the faster turnaround."

— Chris Beutz, President, Green Horizons Landscaping

Next Steps

Ready to explore how AI can transform your marketing workflows.

1

Process Documentation

Share your current brand deliverable workflows and pain points

2

Discovery Session

60-minute deep dive to map opportunities and define priorities

3

Scoped Proposal

Detailed plan with deliverables, timeline, and investment

Investment Framing

Typical discovery: 2-4 weeks | Investment range provided in scoped proposal based on identified opportunities. We start small, prove value, then expand.

Luke Deasy

Founder, Vambrace AI

luke@vambrace.ai