Custom topic reports

The 25 AI Challenges Holding Business Leaders Back in 2026

Ranked intelligence report: 25 AI challenges scored on Drag and Lift. 95% of pilots fail to reach the income statement. Six blind spots most leaders miss.

2026 AI Business Writing Guide: What to Automate, What to Keep Human

Data-driven guide scoring 14 business writing categories on AI suitability, with rubric, visualizations, and a 6-point pre-publication checklist for enterprise teams.

CEO Personal AI Capability Self-Assessment: Six Domains

A structured self-assessment for CEOs to evaluate their personal AI knowledge, leadership skills, and strategic readiness across six critical capability domains.

The EU AI Act Deadline Is Real and Most Organizations Aren't Ready

What the EU AI Act's August 2026 enforcement deadline requires, who it affects, and what leaders must do immediately.

AI in University Research Proposals 2026: Decision Briefing for Department Chairs

Board-ready briefing on AI use in university research proposals: 40-80% drafting time savings are real, but NIH and NSF now penalize AI-generated content. What department chairs should do now.

Is AI Really Saving Time at Work? What the Evidence Shows About Where Those Hours Go

Research shows AI saves workers 2.2 hours per week on average — but 89% of firms see no productivity gain. This decision briefing examines why saved time vanishes into rework and busywork, and what leaders must do to capture it.

AI Reshaped Marketing Jobs, Not Headcount: What Leaders Need to Know in 2026

A decision briefing on how AI is reshaping marketing roles — not eliminating them. Ground-level evidence shows 6-13 hours reclaimed weekly, but 80% of firms fail to convert gains into financial returns. Learn what separates the leaders from the laggards.

AI-Generated vs. Human-Reviewed Content: 2026 Consumer Trust and Brand Risk Decision Briefing

Board-ready briefing on how consumers perceive fully AI-generated content vs. human-reviewed AI-drafted content in 2026, with trust data, engagement benchmarks, regulatory implications, and actionable governance recommendations for marketing leaders.

CRO vs CMO: Who Should Lead AI Transformation Across the Revenue Engine in 2026?

Decision briefing comparing CRO and CMO readiness to lead AI-driven commercial transformation. Evidence from McKinsey, Gartner, and Forrester shows the CRO's structural advantage in connecting AI investments to EBIT — while 95% of sales orgs see no AI ROI and the CMO role fragments.

Highest-Value AI Agents in Sales and Marketing: 2026 ROI Evidence and Investment Guide

Which AI agents deliver the best returns in go-to-market? Evidence from McKinsey, Gartner, Forrester, and Bain shows 300%+ ROI from customer service, sales development, and campaign agents — with data quality as the decisive factor. A decision-ready briefing for senior leaders.

AI in Private Equity Portfolio Companies: Why 95% of Pilots Fail and How to Capture Real Value in HR, Procurement, and IT

Decision briefing for PE leaders on optimizing AI investments across HR, procurement, and IT operations. Evidence shows 200-400 bps IRR uplift is achievable, but 95% of GenAI pilots fail. Learn the execution playbook that separates Digital Masters from laggards.

Frontier AI Models in Enterprise Sales & Marketing: Usage, Cost, and ROI Reality Check (2025–2026)

Decision briefing on how enterprise and mid-market sales and marketing teams are using OpenAI, Anthropic, and Google frontier AI models, what they're spending, and why 95% of pilots deliver zero P&L impact — with actionable guidance on multi-model routing, ROI measurement, and governance.

The global AI vendor ecosystem for customer service automation has reached a mature, intensely competitive sta

AI personalization in Marketing sits at a critical inflection point in mid-2026, with near-universal surface a

The Executive/Strategy function sits squarely in the Early Impact band (~30-35 composite), characterized by ma

Marketing AI personalization has transitioned decisively from experimentation to operationalized deployment, w

Marketing AI personalization in 2026 is characterized by near-universal but shallow adoption (87% using AI, on