Director, Enterprise Operations & AI Strategy

Jayson Forde

Enterprise operations leader driving AI strategy at scale

I direct enterprise operations, revenue, and customer-success organizations across SaaS environments, and lead AI strategy on top of them. Over 10+ years I have built and scaled functions from the ground up, one customer-success organization from zero to 40, cross-functional teams of up to 50 across a 150+ account portfolio, and paired that operational leadership with native AI fluency: AI adoption, enablement, operations, and innovation delivered in partnership with executive stakeholders, with the governance, risk frameworks, and operating models that turn it into measurable ROI, retention, and productivity at enterprise scale.

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Jayson Forde
Master Operating Systems

The operating systems behind the results

These are the deep operating blueprints that show how I actually run workforce and revenue transformation, the closed-loop models, department-level process design, accountability, measurement, and governance. Each is a full executive system with its own architecture, process diagrams, and evidence boundary separating documented fact from reconstructed method.

Flagship · Regional Operations

Regional Operations & Team Development Strategic Executive Playbook

My strategic executive playbook for field operations, team transformation, and performance recovery: how I enter a regional portfolio or multi-site operation, establish a measurable baseline, retrain managers and teams, rebuild SOP discipline, and govern adoption to revenue. Built for any proptech, regional real-estate, or large-team environment, proven across a 150+ account portfolio.

Executive playbook Explore the framework →
Career Core · AI Operations

AI Operations, Process Design & Adoption Executive Playbook

My deepest playbook and the core of my career direction. How I design and build AI-powered operations on the BPM lifecycle (design, model, automate, analyze, optimize) with an enterprise automation stack, Zapier, NotebookLM, Asana, ClickUp, Claude, ChatGPT, and Google Gemini, then close the loop with the adoption and adaption lifecycle that makes the team run on it. The build and the adoption together.

Deepest executive playbook Explore the playbook →
SaaS · Architectural Design (Start-Up)

SaaS Architectural Workflow Operations & Revenue Cycle Design

My VP-level design playbook for building a start-up's client and revenue operations architecture from zero, across seven governed departments: revenue lifecycle, sales-to-CS handoff, account health, support and escalation, renewal and recovery, workforce enablement, and executive intelligence with human-in-the-loop AI.

Executive playbook Explore the playbook →
Process Discovery · Team Collaboration

Revenue & Client Process Discovery & Team Collaboration Executive Playbook

A targeted diagnostic for teams leaking revenue at the seams, or teams that want to scale but cannot see where to start. The link-wheel discovery method that maps the client and revenue journey and names the handoff leaks, paired with the collaboration engine that unites the team to close them. Handoff and leak diagnosis to retain and scale.

Executive playbook Explore the playbook →
AI Transformation

AI Transformation Master Playbook

My system for taking an organization beyond AI pilots to governed, adopted, and measured transformation, the org-wide change program. Three parts: the master playbook (architecture), an executive brief, and a 90–120 day transformation plan (the execution engine). Eight workstreams, AI as the governing method. Companion to my AI Operations playbook.

3-Part System Explore the framework →
Executive Strategic Framework Playbooks

My executive strategic frameworks

These are my own executive strategic playbooks, the repeatable operator frameworks I bring into a role, not work done for a single organization. Each is a full designed system with its own architecture, process diagrams, evidence boundary, and governance. Every document is watermarked.

Revenue Engine

Revenue Leaks & Adaptation Gaps Strategies

Tracing the client journey through every department handoff, sales, landing, response time, onboarding, software training, and adoption, to find where revenue leaks and close it with targeted training for clients and employees. A 3-part system.

3-Part System Explore the framework →
Training & Development

Executive Training, Development & Organizational Transformation

How I train, develop, and build high-performing, AI-enabled teams of managing leaders: development mechanics, accountability and ownership, AI discovery and automation, the AI enablement stack, governance, measurement, and scaling.

Full framework Explore the framework →
Revenue Engine

High-Performing Team Development & Revenue Growth

Treating the team as the revenue engine: reading where revenue leaks, tracing it to the team behavior behind it, and closing the gap so retention, expansion, and MRR grow. The skill-to-revenue diagnostic, the revenue leak map, and a data-led management philosophy.

Full playbook Explore the playbook →
Governance & Risk

Enterprise AI Governance & Risk Wiki

The policy and control repository for AI model risk in financial services: validation standards, fairness controls, escalation rules, and risk-tiered review cadence, aligned to SR 11-7, Basel, and the EU AI Act.

Live document View the framework →
Customer Communication

Customer Communication & Support Automation

Closing communication gaps and delays so no client goes unheard, unnoticed, or unengaged: onboarding, queue acknowledgement, continuous response, built as proactive infrastructure or inserted to fix a broken operation.

Full playbook Explore the playbook →
Lifecycle Reporting

Client Lifecycle Journey Reporting

Automating visibility across the client journey, from new client to renewal: a self-assembling reporting pipeline, per-stage health signals, and executive and client-facing views that surface risk before a renewal is lost.

Full playbook Explore the playbook →
Team Collaboration

Team Collaboration Automation

Automating updates, responses, internal tickets, and team file reporting so a team runs on its own rhythm: work that assigns and tracks itself, and reporting leadership can trust without asking.

Full playbook Explore the playbook →
Client Work & Executed Systems

Systems I built and delivered in the field

Executed operating systems built for specific client environments: the workflow designs, SOP programs, and operating architecture I delivered on the ground. These are the applied results of the master frameworks above.

Client System · Field Ops

Bridge Property Operational Master Playbook

My most demanding field system, in three parts: the operational master playbook (the architecture), an executive brief, and a 90–120 day transformation plan (the real-time execution engine). Together they design and drive a full site turnaround.

3-Part System View the system →
Client System · Operations Strategy

Equipped: Pre-Launch Operations Build

The founding-operations build for a pre-launch proptech SaaS: a five-system operating framework (account workflow, risk-flag health, support ticketing, revenue retention, SOPs) and a 30/60/90-day roadmap to stand it all up before go-live. Two parts: the strategic plan and the 90-day execution briefing.

2-Part System View the system →
Client System · SaaS Client Success

CoreForce Client Operations Intelligence

Full operational build for CoreForce: a client operations intelligence architecture connecting Account Management, Product, Engineering, Support, and Leadership through shared context, with a NotebookLM intelligence hub, cross-functional workflows, and a 90-day rollout. Executive presentation plus department playbooks.

Full System View the system →
Client System · SaaS Ops

Relotz Client Success & Revenue Operations Build

The founding build I delivered at Relotz: standing up Client Success and Revenue Operations from zero and scaling it to a 40-person operation. The executed engagement behind the SaaS Client & System Operations executive playbook.

Delivered Build View the system →
AI Transformation Tools

The tools I build to run transformations

Operational judgment, made into working tools. This is a transformation operating suite spanning the full lifecycle, decide, design, deploy, enable, track, and report. Three are live now; the rest are in active build. Click into the live tools and try them.

Investment Decision

AI Tool Investment Engine

Describe any AI workflow or tool idea and the engine returns a full investment analysis: an overall score index, weighted sub-scores for impact, effort, risk, and readiness, a workflow improvement estimate, pros and cons, a recommendation, and a stress test grounded in current marketplace research.

Live tool Open engine →
Operations Design

Operations Plan & Workflow Mapper

Enter a company's assessment, troubles, blockages, focus areas, and team structure. The mapper returns a phased operating plan and workflow architecture with owned systems, assigned owners, and measurable outcomes, built on the structure behind real client systems.

Live tool Open mapper →
Transformation Execution

Transformation Deployment Guide

The execution companion to the mapper. It reads the operating plan and produces the transformation sequence: phased actions with owners and checkpoints, plus concrete deployment steps to stand up each workflow pillar.

Live tool Open guide →
Process Excellence

Process Inefficiency Prioritization Matrix

Not every process is worth automating. Score any workflow on business impact, manual effort, frequency, and automation fit, and get a priority verdict, Automate Now, Plan & Pilot, Backlog, or Leave As-Is, so re-engineering effort goes where it pays off first.

Live tool Open matrix →
Process Excellence

Workflow Redesign & Automation Mapper

List a manual process and the mapper classifies each step, flags what AI and automation can take over, keeps human judgment where it belongs, and returns a redesigned workflow with a clear, non-technical deployment recipe for every step.

Live tool Open mapper →
Adoption & Impact

Adoption & Productivity-Gain Tracker

A redesign only pays off if people use it. Measure adoption and real time saved together, get a Sustained, At-risk, or Stalled verdict, and a tailored 3-step play to fix whatever is weak, turning pilots into proven, sustained impact.

Live tool Open tracker →
Readiness

AI Adoption Readiness Assessment

Input a team's current state across data, skills, governance, and culture. Get a scored maturity report showing whether the organization can actually execute the use cases it wants.

In build Coming soon
Governance

AI Governance & Risk Review Board

Submit a use case and it is scored against governance criteria, returning the risk flags and controls a review board would require before approval, mapped to standards like the EU AI Act and ISO/IEC 42001.

In build Coming soon
Design

AI Transformation Roadmap Builder

Turns priorities into a phased Diagnose, Design, Pilot, Scale, Sustain roadmap with milestones, owners, and sequencing, the plan that turns strategy into execution.

In build Coming soon
Enablement

AI Enablement & Training Planner

Builds role-based learning paths with certification checks and the reinforcement cadence research shows makes behavior stick, so training converts into real capability.

Planned Coming soon
Adoption

AI Champions Network Builder

Assigns champions and an accountable executive sponsor with 30-day review gates, the human engine that research shows drives sustained adoption.

Planned Coming soon
Accountability

AI Adoption Accountability Tracker

Tracks adoption across the five-layer model (active users, workflow penetration, engagement depth, trust), with an owner per team, scheduled follow-ups, assessments, and reports.

Planned Coming soon
Adoption

AI Adoption Velocity Tracker

Plateau detection that flags departments whose adoption velocity drops below threshold, so intervention happens in weeks, not quarters.

Planned Coming soon
Performance

Team Performance KPI Dashboard

Tracks team metrics and performance against targets, turning telemetry into the scorecards and review cadence that keep a transformation accountable.

In build Coming soon
Value & ROI

AI Value & ROI Measurement Dashboard

Board-level value reporting that treats ROI as a learning system: outcome hypotheses set upfront, the workflow instrumented, and the case made with data.

Planned Coming soon
Command Center

AI Transformation Command Center

The capstone: a single executive dashboard rolling up phase status, adoption health, ROI, and risk into the one view a transformation lead brings to leadership.

Planned Coming soon
Enterprise Labs

Enterprise transformation capabilities

Above the tools sits the enterprise layer: the governance infrastructure and portfolio-management capabilities a Director or VP of AI Transformation is expected to establish inside an organization. These labs demonstrate governing AI at scale, across policy, risk, investment, and value, not one implementation at a time.

Lab 02 · Portfolio Governance

AI Transformation Portfolio Office

The executive layer that governs every AI initiative as a portfolio: a live pipeline from Proposed to Retired, tracking investment, risk tier, ROI, adoption, and governance status, with an auto-generated steering-committee readout.

Live tool Open the office →
Lab 03 · Operating Model

Enterprise AI Operating Model Designer

Design how AI authority and execution operate across an organization, centralized CoE, federated, or hub-and-spoke, defining decision rights, funding and governance authority, ownership, and escalation architecture.

In build Coming soon
Credentials & Certifications

The foundation under the work

Verified certifications across AI enablement, governance, cloud, and security. Full transcript available on request.

Google AI Professional Certificate Google AI Essentials AI Model Risk Management Deploy & Manage Generative AI Models CompTIA CySA+ CompTIA Project+ HubSpot Revenue Operations Google People Management Essentials Working Effectively with Stakeholders Google Stakeholder Management Specialization High-Performing Team Leadership Customer Success Management Mastery Customer Success SaaS Strategy

Currently pursuing: Microsoft AI Product Manager Professional Certificate, Advanced Microsoft 365 Copilot AI (Build & Use Agents), Microsoft AI-900, Microsoft Certified: Azure Administrator Associate (AZ-104), Google Associate Cloud Engineer, IAPP Artificial Intelligence Governance Professional (AIGP), and a Cybersecurity Engineering degree with a concentration in Project Management.

About

Who I am

I am an enterprise operations and AI strategy leader who directs the systems that make organizations run. Operating model design, workflow architecture, SOP frameworks, team development, and revenue strategy are my craft, and I have built and scaled these functions from the ground up, not just advised on them.

I pair that operational leadership with native AI fluency, directing AI adoption, enablement, operations, and innovation in partnership with executive stakeholders. I modernize operating models, stand up AI governance and risk frameworks, and drive the adoption structures that make change hold, transformation owned end to end, not enablement alone.

The systems, playbooks, and tools on this page are my own builds, designed to deliver measurable ROI, retention, and productivity at enterprise scale. The operations come first. AI is the strategy I drive on top of them.

Focus
Director, Enterprise Operations & AI Strategy
Location
McDonough, Georgia
Email
Fordenetwork@gmail.com
LinkedIn
linkedin.com/in/jaysonforde
Resume
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