Operational Excellence · AI Transformation · CX Leadership · Data & Finance

Build operations that
perform at scale.

Fractional CX leadership, AI agent implementation & B2B workflow automation, data pipelines, FP&A, workforce management, and Lean Six Sigma transformation — for companies that demand measurable results, not slide decks.

MBA Lean Six Sigma Black Belt COPC Certified AI Agent Design Welch Scholar
View Services See the Results Services Guide PDF
$670M
Settlements Managed
98%
CSAT Sustained
$2.5M+
Defects Eliminated
→ $150M operational gain
23%
Production Gain
What We Do

Five disciplines.
Built for results.

The Principal

Built in the field.
Not the classroom.

Our Senior Advisor — Operations & AI is an operations executive with 18+ years building and transforming customer-facing organizations across legal tech, EdTech, hospitality, and multi-unit operations.

In a national EdTech organization, he ran a 125-person customer support org, absorbed a $5M budget reduction, and simultaneously drove a 23% production gain, 38% faster resolution, and $2.5M in defect elimination (→ $150M operational gain) — while sustaining 98% CSAT through an M&A integration.

In legal tech, he built a document operations core managing $670M in settlements across 7 business units. In hospitality operations, he deployed AI agent pipelines using Claude and ChatGPT to deliver weekly operational intelligence across a $150M control environment.

His credential stack — MBA · LSS Black Belt · COPC Certified · AI Agent Design — is rare in the market. His results are rarer still.

✦
MBA · Welch Scholar
Graduate business foundation with advanced operational finance and strategy
✦
Lean Six Sigma Black Belt
DMAIC methodology, waste elimination, process engineering at enterprise scale
✦
COPC Certified
Contact center performance standard — rare credential held by fewer than 1% of CX practitioners
✦
AI Agent Design & Deployment
Claude + ChatGPT pipelines deployed in live $150M operational environment
✦
18+ Years · $670M+ Managed
Legal tech, EdTech, hospitality, multi-unit franchise, contact center
Proof of Work

Results that
speak for themselves.

EdTech · 125-Person Org

Budget Cuts, Better Output

Absorbed a 23% budget reduction ($22M→$17M) while simultaneously growing production and slashing resolution time — across a 125-person org through an M&A integration.

Budget Reduction $5M Cut
Production Gain +23%
Resolution Speed 38% Faster
CSAT 98%
Legal Tech · 7 Business Units

Enterprise Operations at Scale

Built and scaled a document operations core managing 46K+ document workflows, 2,000 daily interactions, and $670M in settlements across 7 business units.

Settlements Managed $670M
Cost Reduction 33.6%
Savings Delivered $700K
CSAT 98%
Hospitality · $150M Environment

AI Pipeline: Operational Intelligence at Scale

Designed and deployed an AI agent pipeline using Claude and ChatGPT to mine raw operational data and generate structured weekly executive intelligence reports — live in a $150M environment.

Control Environment $150M
Revenue Increase +8.5%
Food Cost Reduction −1.5%
Tools Claude · GPT
Free Resources

Industry guides for
every discipline.

Customer experience operations is the engine of retention, revenue, and reputation. These guides cover the fundamentals every CX leader needs — from how to measure what matters to how to build teams that scale.

Core Concept
What Is CSAT, NPS & CES — And Which One Should You Use?
Three of the most common customer experience metrics — but most companies pick the wrong one for their context. Here is a plain-language breakdown of what each measures, when to use it, and what to do with the result.
  • CSAT measures satisfaction with a specific interaction — best for support and service teams
  • NPS measures overall loyalty and likelihood to recommend — best for brand and growth teams
  • CES measures effort required — best for identifying friction in self-service and onboarding
  • The right choice depends on the question you are actually trying to answer
Free
Framework
How to Audit Your CX Operation in 30 Days
Before making any changes to a customer experience operation, you need a clear baseline. This four-week framework is designed to surface the gaps most companies do not know they have.
  • Week 1 — Collect data: volume trends, resolution rates, escalation patterns, CSAT scores
  • Week 2 — Map the team: spans of control, capacity utilization, skills coverage
  • Week 3 — Audit the tools: what your team actually uses vs. what you are paying for
  • Week 4 — Build the prioritized roadmap: quick wins, 60-day projects, strategic initiatives
Free
Quick Guide
The 5 CX Metrics That Actually Predict Churn
Most CX dashboards track activity. These five metrics track risk — the early signals that a customer is heading for the door before they tell you.
  • First Contact Resolution rate — unresolved contacts compound into churn
  • Repeat contact rate — customers who contact more than twice are at elevated risk
  • Escalation rate — a leading indicator of systemic product or process failure
  • Time to resolution trend — when resolution time increases, satisfaction follows it down
  • Agent-level CSAT variance — outliers on your team create outsized churn exposure
Free
Quick Guide
How to Manage a CX Team Through an M&A Integration
Acquisitions create chaos for support organizations — two cultures, two toolsets, two sets of customers, and one team expected to hold it together. Here is what to prioritize in the first 90 days.
  • Days 1–30: Protect continuity — do not change anything customer-facing until you understand both environments
  • Days 31–60: Align the metrics — you cannot manage two teams with two different definitions of success
  • Days 61–90: Integrate the playbook — standardize SOPs, quality frameworks, and escalation paths
  • The most common failure is moving too fast on system consolidation before the team is ready
Free
Quick Guide
Building a Quality Assurance Program from Scratch
QA is one of the highest-leverage investments a CX operation can make — but most programs are built around compliance rather than improvement. Here is how to build one that actually changes behavior.
  • Define what quality means before you start scoring — involve your agents in that definition
  • Score for coaching, not punishment — the goal is improvement, not enforcement
  • Calibrate weekly across evaluators to eliminate scoring inconsistency
  • Connect QA scores to outcomes: does quality correlate with CSAT in your environment?
Free
Quick Guide
What COPC Certification Means — And Whether You Need It
COPC is the most rigorous contact center performance standard in the world. Fewer than one percent of CX practitioners are certified. Here is what it covers and how to apply its principles without the full certification process.
  • COPC defines performance standards across four categories: leadership, processes, people, and performance
  • The standard requires documented processes, consistent measurement, and evidence-based improvement
  • You do not need full certification to benefit — the framework applies to any CX operation
  • Organizations that apply COPC principles consistently outperform peers on CSAT and efficiency
Free

Data and financial fluency are the difference between operations leaders who get a seat at the table and those who do not. These guides demystify the concepts most operators were never formally taught.

Core Concept
Budget vs. Forecast — What Is the Difference and Why It Matters
These two terms are used interchangeably in most organizations, but they are fundamentally different tools. Understanding the difference makes you a more effective operator and a more credible leader.
  • A budget is a plan set at the beginning of a period — it is a commitment, not a prediction
  • A forecast is an ongoing estimate of where you will land — it should update as conditions change
  • Variance analysis is the discipline of explaining the gap between the two
  • The most common mistake: treating a stale budget as a current forecast
Free
Framework
How to Build a Rolling 12-Month Operational Forecast
A rolling forecast replaces the annual budget cycle with a living plan that always looks 12 months forward. Here is how to build one without a finance team.
  • Identify your 3–5 key revenue and cost drivers — everything else flows from these
  • Build your base case first, then your best and worst case scenarios around it
  • Update monthly — replace the completed month with a new month 12 months out
  • The value is not the number — it is the discipline of thinking forward systematically
Free
Quick Guide
Workforce Planning Fundamentals — How to Staff Correctly
Overstaffing costs money. Understaffing costs customers. Here is the foundational math behind getting it right — no specialized software required.
  • Start with volume: how many contacts, transactions, or units does your team handle per hour?
  • Factor in handle time: what is the average time required to resolve one unit of work?
  • Apply shrinkage: the percentage of scheduled time agents are not available (typically 25–35%)
  • Build in occupancy targets: 85% is the industry standard ceiling before quality degrades
Free
Quick Guide
How to Run a 5-Minute Weekly Variance Review
Variance analysis does not need to be a monthly finance exercise. When done weekly at the operational level, it becomes one of the most powerful management tools you have.
  • Compare actuals to plan for your top 3–5 metrics — nothing more
  • For every variance over 5%, write one sentence explaining why
  • Categorize each variance: volume-driven, rate-driven, or mix-driven
  • Decide one action for each unfavorable variance before you close the review
Free
Quick Guide
What Is Scenario Modeling — And How to Use It
Scenario modeling answers the "what if" questions that keep operations leaders up at night. Here is how to build a simple model that prepares you for multiple futures.
  • Define your base case: the most likely outcome given current trends
  • Build an upside case: what happens if volume grows 15% faster than expected?
  • Build a downside case: what if you need to cut costs by 20% in 90 days?
  • The goal is not to predict the future — it is to make decisions faster when it arrives
Free
Quick Guide
Building an Executive Dashboard That Gets Used
Most dashboards get built once and ignored. The ones that drive decisions share a set of common design principles that have nothing to do with technology.
  • Start with the questions, not the data — what decisions does this dashboard need to enable?
  • One metric per question — resist the urge to show everything you can measure
  • Show trend lines, not just point-in-time numbers — context is what makes a number meaningful
  • Define red, yellow, and green thresholds explicitly — never make the viewer guess what is good
Free

AI in operations is not about replacing people — it is about giving your best people better information faster. These guides focus on practical implementation in real business environments.

Core Concept
What Is an AI Agent — And How Is It Different from a Chatbot?
The terms AI agent, AI assistant, and chatbot are used interchangeably — but they describe very different things. Understanding the difference helps you make better decisions about where AI can actually help your operation.
  • A chatbot responds to a question with a pre-defined answer — it does not reason or adapt
  • An AI assistant generates responses based on context — it can draft, summarize, and analyze
  • An AI agent takes actions, makes decisions, and completes multi-step tasks autonomously
  • Most operational value today comes from AI assistants, not full agents — start there
Free
Framework
How to Identify the Right Operations Tasks to Automate with AI
Not every task is a good candidate for AI automation. This framework helps you identify the highest-value opportunities and avoid the common pitfalls of automating the wrong things first.
  • High-value candidates: repetitive, rule-based, high-volume tasks with structured inputs
  • Best targets: weekly reporting, data summarization, ticket categorization, status updates
  • Avoid automating: coaching, escalations, negotiations, and trust-dependent decisions
  • The ROI test: hours saved per week multiplied by fully-loaded cost tells you payback period
Free
Quick Guide
Prompt Engineering Basics for Operations Leaders
You do not need to be a developer to get dramatically better results from AI tools. These four principles will improve the quality of your AI outputs immediately.
  • Give the AI a role: "You are an operations analyst" produces better analysis than no framing
  • Provide context: the more relevant background you give, the more specific the output
  • Specify the format: ask for bullet points, tables, or structured JSON when consistency matters
  • Show an example: one good example of the output you want is worth ten sentences of description
Free
Quick Guide
Where NOT to Use AI in Operations
The most valuable AI judgment an operations leader can develop is knowing when to keep humans in the loop. These are the contexts where AI creates more risk than value.
  • Employee performance conversations — AI cannot read the room or rebuild trust after difficult feedback
  • Escalated customer situations — the customer needs to feel heard by a human, not processed
  • Vendor and contract negotiations — relationship, tone, and judgment are irreplaceable here
  • Any decision where being wrong destroys organizational trust rather than just causing a problem
Free
Quick Guide
How to Build a Weekly AI Intelligence Report
One of the highest-ROI AI implementations for any operations team is the automated weekly intelligence report. Here is the architecture used in a live $150M operational environment.
  • Step 1: Define the 3–5 questions your report needs to answer every week — not more
  • Step 2: Pull the raw data from your source systems into a structured format
  • Step 3: Pass the structured data to an AI with a consistent prompt that produces the analysis
  • Step 4: Route the output to the right people in a format they will actually read
Free
Quick Guide
How to Calculate AI ROI Before You Build Anything
Before investing time in an AI implementation, run this simple calculation to determine whether it is worth building. Most high-value AI projects pay back in four to eight weeks.
  • Identify the task: how many hours per week does this currently take across your team?
  • Multiply by fully-loaded cost: hours saved times hourly rate equals weekly dollar value
  • Estimate build time: a well-scoped AI automation typically takes 4–20 hours to build and test
  • Divide build cost by weekly savings: that is your payback period in weeks
Free

Lean Six Sigma is the most proven operational improvement methodology ever developed. These guides distill the most applicable concepts for operations leaders who want results, not certification.

Core Concept
DMAIC Explained — The Five Phases of Six Sigma
DMAIC is the structured problem-solving methodology at the heart of Six Sigma. Every phase has a specific purpose, and skipping one is the most common reason improvement projects fail.
  • Define: Articulate the problem, scope the project, and identify what success looks like
  • Measure: Establish a baseline — you cannot improve what you have not measured accurately
  • Analyze: Identify root causes — the presenting problem is rarely the actual problem
  • Improve: Design and pilot the solution — small tests before full deployment
  • Control: Lock in the gains — document the new standard and build in monitoring
Free
Framework
The 8 Types of Operational Waste — TIMWOODS
Lean identifies eight categories of waste that exist in every organization. Learning to see them is the first step to eliminating them — and recovering the hidden cost buried in your operation.
  • Transport: unnecessary movement of information, materials, or work between steps
  • Inventory: work in progress that is waiting — queues, backlogs, and buffers
  • Motion: people moving or clicking more than the task actually requires
  • Waiting: idle time where work stops because something upstream is not ready
  • Overproduction: doing more than the next step needs — reports no one reads
  • Over-processing: applying more effort than the customer or output requires
  • Defects: errors that require rework, correction, or escalation
  • Skills: underutilizing the talent and knowledge of your people — the most costly waste
Free
Quick Guide
Root Cause Analysis — The 5 Whys Method
The 5 Whys is one of the simplest and most powerful root cause analysis tools available. It takes five minutes and costs nothing — but most organizations never use it correctly.
  • Start with the problem statement: be specific — vague problems produce vague causes
  • Ask why the problem occurred — then ask why that answer is true, and repeat five times
  • You have found the root cause when the answer is something you can actually change
  • Common mistake: stopping at the symptom — "because volume was high" is not a root cause
Free
Quick Guide
How to Build a KPI Framework That Changes Behavior
Most KPI frameworks measure the wrong things. The ones that drive real performance share a common design philosophy — they connect what people do daily to the outcomes the business cares about.
  • Lagging indicators tell you what happened — leading indicators tell you what is about to happen
  • Build a three-tier pyramid: strategic outcomes at the top, operational metrics in the middle, tactical inputs at the base
  • Each person on your team should own at least one metric that they can directly influence
  • Review cadence matters: strategic monthly, operational weekly, tactical daily
Free
Quick Guide
Process Mapping — How to Document a Workflow in One Hour
You cannot improve a process you have not mapped. This guide walks through the fastest way to get a process documented accurately — without getting lost in complexity.
  • Walk the process: follow one unit of work from start to finish before drawing anything
  • Map what actually happens, not what the procedure says should happen — they are often different
  • Mark every handoff, decision point, and waiting step — these are where waste hides
  • Use a SIPOC first: Suppliers, Inputs, Process, Outputs, Customers — keeps scope manageable
Free
Quick Guide
How to Sustain Operational Improvements After a Project Ends
The most common failure in process improvement is not the implementation — it is the sustainment. Gains disappear within 90 days when the control plan is not built correctly.
  • Document the new standard: if the process is not written down, it will revert to the old way
  • Assign ownership: one person is responsible for monitoring each key metric going forward
  • Build in a trigger: define the specific number that will prompt a review if performance degrades
  • Conduct a 90-day check: has the change held? If not, the root cause was likely not fully addressed
Free

The Director and VP job market operates on different rules than mid-level hiring. These guides reflect hard-won methodology from a search process that produced 50+ tailored applications in a single week — with a systematic, data-driven approach built for senior operators.

Core Concept
How the Director and VP Job Market Actually Works
Most senior candidates search the way they did at mid-level — and wonder why it is not working. The Director and VP market has different dynamics, different gatekeepers, and different rules for standing out.
  • Most Director roles are filled through network and referral before they are publicly posted
  • ATS filters at this level are stricter — title, years of experience, and salary expectations are screened before a human reads your resume
  • Hiring managers at this level are buying outcomes, not responsibilities — your resume needs to prove results
  • Volume with precision beats low-volume applications — systematic outreach outperforms waiting
Free
Framework
The 3-Filter Scoring System for Evaluating Job Opportunities
Not every open role deserves a tailored application. This scoring framework helps you quickly identify the roles worth investing time in — and move on from the ones that do not meet your criteria.
  • Filter 1 — Title level: does this role match your target level and career trajectory?
  • Filter 2 — Sector fit: does this company operate in a sector where your experience transfers?
  • Filter 3 — Compensation: does the posted or estimated range meet your floor?
  • A role that passes all three filters scores 7 or higher and deserves a tailored application
Free
Quick Guide
How to Write a Director-Level Resume That Gets Read
A senior resume is not a longer version of a mid-level resume. It is a proof document. Every bullet should answer one question: what did you build, fix, or improve — and how do you know it worked?
  • Lead with your identity, not your job history — the summary should tell a story, not list facts
  • Every experience bullet should have a number: dollar amount, percentage, headcount, or timeline
  • Mirror the language of the job description — ATS systems reward keyword alignment
  • Cut anything that does not support your target role — relevance beats completeness
Free
Quick Guide
Network Activation — How to Use Your Connections Before You Apply
A warm introduction to a hiring manager is worth more than 20 cold applications. Here is a systematic approach to activating your network at the right moment in a job search.
  • Before applying to any company, search your network for a connection there — even second-degree
  • Lead with value when you reach out — reference something specific about their work or company
  • Ask for a conversation, not a referral — the referral comes naturally if the conversation goes well
  • Follow up within 48 hours of applying to let your contact know — gives them a reason to advocate
Free
Quick Guide
How to Answer the 4 Most Important Director Interview Questions
Four questions appear in nearly every Director and VP operations interview. Here is the framework for answering each one in a way that demonstrates leadership at the right level.
  • "Tell me about your greatest impact" — lead with scale and outcome, not activity and effort
  • "How do you manage managers?" — describe your operating cadence: 1:1s, pipeline reviews, career development
  • "How have you used data and AI in your operations?" — lead with the problem you solved, not the tool you used
  • "Walk me through a budget challenge you navigated" — show how you protected outcomes while cutting cost
Free
Quick Guide
The First 90 Days in a New Operations Leadership Role
How you enter a new senior role determines whether you will be effective in it. Most leaders move too fast on changes and too slow on understanding. Here is a structured approach to the first 90 days.
  • Days 1–30: Listen first — interview every key stakeholder and team member before forming any opinions
  • Days 31–60: Diagnose — identify the three biggest gaps between current state and where the business needs to be
  • Days 61–90: Act selectively — address the highest-leverage gap with a visible quick win that builds credibility
  • The leaders who stumble earliest are almost always the ones who announced their plan before day 30
Free
The Team

Built by operators,
for operators.

SD
Senior Advisor — Operations & AI
Principal Advisor · Operations & AI Strategy

An operations executive with 18+ years building and transforming customer-facing organizations across legal tech, EdTech, hospitality, and multi-unit operations. Has led teams of up to 125 people, managed $17M+ budgets, and delivered transformations that simultaneously reduced cost and improved performance.

In a national EdTech organization, absorbed a $5M budget reduction while driving a 23% production gain, 38% faster resolution, and $2.5M in defect elimination (→ $150M operational gain) — sustaining 98% CSAT through an M&A integration. In legal tech, built a document operations core managing $670M in settlements across 7 business units. In hospitality, deployed AI agent pipelines for weekly operational intelligence across a $150M control environment.

MBA Lean Six Sigma Black Belt COPC Certified AI Agent Design Welch Scholar
SDS
Senior Advisor — Engineering & Verification
Principal Advisor · Engineering & Technical Builds

A Senior Mixed Signal Design Verification Engineer and Technical Lead with 13+ years of experience at a leading global semiconductor company. Career built at the intersection of hardware engineering and systems architecture — owning verification of complex memory interface IPs and subsystems that operate at the foundation of modern computing infrastructure.

Technical expertise spans UVM and SystemVerilog-based testbench development, analog-mixed-signal co-simulation, DDR4/5, LPDDR4/5, and HBM protocol verification, DFI interface validation, and memory controller PHY integration. Defines verification strategies, develops test plans and coverage frameworks, drives coverage closure through functional, code, and assertion-based techniques, and leads simulation debug and root cause resolution across design and engineering teams.

Brings post-silicon validation expertise using CMT testers for high-volume manufacturing environments, and applies generative AI tooling to accelerate verification workflows. Has coached and mentored engineers and served as Technical Lead on critical IP programs at one of the world's largest semiconductor companies.

At D&S Advisory Group, this engineering discipline applies to every technical build — from AI pipeline architecture and workflow automation systems to the data infrastructure and development environments that power client engagements.

UVM / SystemVerilog DDR4/5 · LPDDR4/5 · HBM AMS Co-Simulation Coverage-Driven Verification Post-Silicon Validation Memory Controller / PHY Technical Lead · Intel Corporation 13+ Years
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