AI Strategy Resources for Enterprise Leaders
Frameworks, assessments, and implementation guides built from hands-on experience shipping 10 production AI systems. Not theory. Not vendor comparisons. Architectural judgment you can apply immediately.
REPORT
The AI Market Isn't in Retreat. It's in Friction.
Download the free AI Platform Intelligence Report — built from 16,939 posts and 264,333 comments across 10 professional communities.
Engagement is at record levels. Sentiment is falling. That gap tells you more about the next 90 days of enterprise AI than any vendor roadmap.
This report analyzes 30 days of professional discourse (March 8 – April 1, 2026) and surfaces four findings that enterprise buyers need to see before their next vendor conversation:
- OpenAI commands 19.2% share of voice but registers –9.98% sentiment. That's switching-cost inertia, not satisfaction.
- Google faces the steepest decline at –22.8%, driven by documented quality gaps.
- Pricing complaints outpace feature praise by a 3.6:1 ratio — creating real negotiation leverage right now.
- Infrastructure providers like NVIDIA maintain positive sentiment (+7.46%) while application-layer platforms lose ground.
The 90-day window for favorable vendor negotiations is open. Pricing pressure is peaking. Platform switching costs haven't calcified around second-generation contracts.
This isn't a trend summary. It's a competitive intelligence briefing built for VP+ decision-makers.
FEATURED
5-Day AI Strategy Workshop for Mid-Sized Businesses
Stop wasting money on AI experiments that never scale.
Most mid-market companies approach AI backwards: buying tools first, strategy second. The result? Expensive pilots that don't deliver, frustrated teams, and executives wondering if AI actually works. This intensive workshop cuts through the hype and delivers what you actually need: a clear, actionable roadmap that turns AI from cost center to competitive advantage.
- Right-sized for mid-market (no enterprise overhead)
- Immediate ROI focus (1-3x efficiency gains within 12 months)
- Proven framework used with Fortune 500 companies, adapted for $10M-$100M businesses
- Complete implementation package (not just strategy documents)
MarTech Vendor Evaluation System: Scorecard, Use Cases & Criteria Guide
Struggling to choose the right MarTech vendor? A wrong decision can lead to wasted budget, redundant tools, and integration headaches. Many teams rely on unstructured evaluations, leading to biased decisions and costly mistakes.
This three-part evaluation system—built from 50+ real-world MarTech vendor selections—provides everything you need to make data-driven, confident decisions:
- Vendor Evaluation Scorecard (Excel Workbook) – A repeatable, structured tool with a weighted scoring system to compare vendors side by side.
- Use Case Guide (PDF) – Covers 10 essential MarTech categories (CRM, CDP, Marketing Automation, and more), each with real-world examples to align vendor capabilities with business needs.
- Evaluation Criteria & Example Responses (PDF) – A guide to the right vendor questions, key decision factors, and example vendor assessments.
Ensure every MarTech investment is strategic, scalable, and cost-effective.
MarTech Audit Checklist
The average enterprise runs 91 MarTech tools. Most can't explain what half of them do, who owns them, or whether they're worth the renewal.
This isn't a surface-level checklist. It's an 8-phase diagnostic framework built from the same methodology I've used to help enterprises cut MarTech costs by 27-52%. You'll inventory every tool in your stack, quantify true cost of ownership (not just subscription fees), map integration gaps, identify compliance exposure, and build a prioritized 90-day action plan. The guide includes 42 checkpoint items, PRO TIP callouts from real Fortune 500 projects, a scoring system to benchmark your stack health, and a blank Tool Inventory Worksheet so you can start documenting immediately.
Companies that complete a structured MarTech audit typically recover 15-30% of their spend. This checklist shows you exactly where to look.
MarTech Data Cleanliness & Reliability Checklist
Your marketing is only as good as the data behind it, yet many teams struggle with duplicate records, inaccurate reporting, and unreliable insights. Poor data quality leads to misaligned campaigns, wasted ad spend, and a lack of confidence in performance metrics.
This checklist helps you take control of your data by identifying inconsistencies, eliminating errors, and establishing a foundation for cleaner, more reliable reporting. With better data hygiene, you’ll improve marketing effectiveness, enhance targeting precision, and ensure your decisions are backed by accurate insights.
Marketing Automation Workflow Health Checklist
Most marketing ops teams won't admit this: their workflows are running on autopilot, and nobody's checked whether they still work.
This isn't a generic best-practices overview. It's a 35-point diagnostic framework across 8 sections, built from real audits of Marketo, Pardot, HubSpot, and Salesforce environments at companies spending six and seven figures on marketing automation. You'll evaluate trigger accuracy, audience qualification logic, engagement drop-off points, marketing-to-sales handoff integrity, data quality, governance, and performance measurement. Each section includes PRO TIP callouts from enterprise projects where these exact issues cost real pipeline, plus RED FLAG warnings for the problems that need immediate attention.
Score your workflows, pinpoint what's broken, and know exactly where to focus your next 30 days.
Lead Source Taxonomy Template
41% of lead source values in a typical CRM are blank, misspelled, or duplicated. That means your attribution is guessing, your routing is broken, and your pipeline forecasts are built on bad data. Most teams know their lead source field is a mess but don't have a clean framework to replace it.
This Excel template gives you a ready-to-implement three-level taxonomy that separates channel category, source detail, and campaign data into the right fields. Instead of 47 variations of "Website" cluttering your CRM, you get 10-12 clean values that map directly to budget decisions and routing rules.
What's inside:
- Complete three-level taxonomy with 32 pre-built source values, routing rules, and priority scores
- Dirty value mapping table with 28 common messy values (Website, Web, Google, SEM, PPC, and more) mapped to clean categories
- Monthly audit checklist with 15 steps to catch data drift before it wrecks your reporting
- Step-by-step implementation guides for both Salesforce and HubSpot, including validation rules, automation workflows, and field locking
Built for RevOps leaders, marketing operations managers, and CRM admins who are tired of explaining why the pipeline report doesn't match reality.
