Engagements

Patterns I keep solving.

Each one is shaped as problem → approach → outcome. If yours rhymes with these, we should talk.

Supply Chain · Optimization

Supply Chain Optimization

Problem

Logistics operators managing complex routes with multiple constraints — time windows, fleet capacity, driver hours — doing it manually or with inflexible legacy systems.

Approach

Applied mathematical optimization combined with AI to model constraints and generate optimal routing in real time.

Outcome

20–30% reduction in operational costs. Same-day rerouting during disruptions without service degradation.

Sales Engineering · AI

Sales Discovery Automation

Problem

Sales teams spending hours preparing for discovery calls without a structured framework, missing key qualification criteria.

Approach

AI agent that analyzes prospect profiles and generates MEDDIC-aligned discovery questions with strategic depth.

Outcome

Prep time reduced from hours to minutes. 40% improvement in discovery quality scores across the team.

Operations · Automation

Operations Automation

Problem

Repetitive operational workflows consuming 60% of team capacity — data reconciliation, report generation, status updates.

Approach

AI-powered workflow automation connecting existing systems via APIs with human-in-the-loop approval gates.

Outcome

60% reduction in manual ops work. Zero data reconciliation errors. Team re-focused on high-value activities.

SaaS · Sales Engineering · Process

SaaS Sales Acceleration

Problem

SaaS sales cycles lengthening due to complex evaluation processes involving multiple stakeholders and technical validation phases.

Approach

Developed structured discovery framework with AI-assisted technical validation, POC management, and multi-threaded stakeholder engagement.

Outcome

Reduced average sales cycle by 40%. Increased win rate on competitive deals through superior technical validation.

AI · POC · Delivery

AI Proof-of-Concept Delivery

Problem

AI POCs failing to convert to production due to unclear success criteria, scope creep, and lack of technical validation framework.

Approach

Created standardized AI POC framework with clear success metrics, staged delivery, and technical risk assessment at each gate.

Outcome

80% of AI POCs converted to production engagements. Average POC duration reduced by 50%.

Training · Enablement · Customer Success

Technical Training & Enablement

Problem

Customer technical teams struggling with platform adoption due to inadequate training materials and inconsistent enablement processes.

Approach

Designed role-based training pathways combining self-paced content, hands-on labs, and certification tracks with progress tracking.

Outcome

60% reduction in support tickets post-training. Customer time-to-value reduced by 45%.

Representative engagement models based on problems I've solved throughout my career. Happy to walk through how I'd actually approach yours.