Insight

Field notes for people who run businesses.

What we're learning about AI and go-to-market, from the work itself.

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Stop Paying Your AI SDR for Meetings Booked

Meetings booked is a free signal, and an AI can manufacture free signals at unlimited volume. Point an optimizer at that number and you buy calendar spam at machine speed while the chart climbs. Metrics that cost the prospect something survive optimization, which is why the replacement scorecard has to be priced in commitment rather than activity.

Sep 14, 2026 Read more →

AI Adoption 7 min read

Every Unattended AI Workflow Drifts Toward Generic

Give a model ten examples of your style and it holds for three or four outputs, then ships one that is completely off-brand. The failure arrives in bursts rather than as a slow fade, which is exactly what spot-checking misses. Quality control turns out to be a permanent function, and the only question is who performs it at your volume.

Sep 7, 2026 Read more →

AI Adoption 7 min read

AI Won't Shrink Your Team. It Will Change Who You Hire.

The headcount question is the one every leadership team asks first, and answering it first is how businesses cut the wrong roles. The work does not disappear when AI lands. It moves upstream into defining what good looks like and catching when the output is not, which changes the kind of person worth hiring more than the number of them.

Aug 31, 2026 Read more →

AI Adoption 6 min read

The AI Failure Mode Nobody Is Watching For

Every team audits for hallucination, the loud failure. Convergence is the silent one: no error to catch, every output defensible, and the aggregate sanding your company down to the statistical middle. For a growing business whose main asset is being distinguishable, the quiet failure costs more.

Aug 17, 2026 Read more →

AI Adoption 6 min read

Your KPIs Were Built for Humans. Your AI Will Attack Them.

Goodhart's Law was survivable when gaming a metric took human effort and human patience. An optimizer collapses the timeline. The famous finding that most GenAI pilots show no P&L impact reads as a measurement failure before it reads as a technology failure, and the fix starts with one uncomfortable audit.

Aug 10, 2026 Read more →

AI Adoption 6 min read

Ten Good Examples Beat a Fifty-Page Style Guide

Feed a model your brand guidelines and you get competent text that sounds like nobody. Taste transfers through a curated set of shipped work you love, and that set survives every model change. Curating it is capability-building, and the discipline is knowing what to leave out.

Aug 3, 2026 Read more →

AI Adoption 8 min read

The First Question Is Whether You Need an Agent at All

A consultancy that only sells agents will find agent-shaped problems everywhere it looks. Run the diagnosis honestly and a surprising number of them land on a process fix or a plain scripted automation rather than AI. This piece walks the ladder a leadership team can use to sort its own backlog, and explains why a partner willing to say you don't need AI here is worth paying for.

Jul 28, 2026 Read more →

AI Adoption 5 min read

Why 95% of Companies See No ROI From AI

Most companies report zero ROI from GenAI, and the failure almost always traces back to the operating model rather than the technology. Here's what to change.

Mar 17, 2026 Read more →

Revenue Engine From the archive 8 min read

RevOps Retention Playbook: Building the System Behind Sustainable Growth

Learn how to operationalize customer retention and expansion inside RevOps—from data infrastructure and KPIs to automation, playbooks, and advocacy loops.

Nov 20, 2025 Read more →

Revenue Engine From the archive 7 min read

Rethinking RevOps: How Retention Became the New Growth Engine

Discover why modern RevOps teams are flipping the funnel to start with retention. Learn how customer expansion, advocacy, and post-sale engagement drive sustainable B2B growth.

Nov 18, 2025 Read more →

Revenue Engine From the archive 6 min read

Turning the Content Factory into a Revenue Growth Engine for B2B Brands

See how B2B marketers evolve the Content Factory into a Growth Engine by linking creative ops with RevOps, ABM, and multimedia to drive revenue.

Nov 12, 2025 Read more →

Content Operations From the archive 6 min read

How the Content Factory Model Transforms B2B Marketing Efficiency

Learn how the Content Factory Model combines AI, human craft, and multimedia design to scale B2B content production without losing quality.

Nov 4, 2025 Read more →

Revenue Engine From the archive 4 min read

Multilingual Demand Engines

Many companies localize websites but miss quota abroad. Learn why localization must be integrated into the full go-to-market strategy—spanning product, marketing, sales, and support—and supported by shared systems and processes to create a true multilingual demand engine that turns pageviews into pi

Sep 11, 2025 Read more →

AI + Revenue From the archive 7 min read

AI Revenue Teams 2030 (Part II)

Meta Description: By 2030, high-growth companies will run AI-ready revenue stacks with strong governance. This playbook shows CEOs, CMOs, and CFOs how to design the reference architecture, data contracts, lineage, and evaluation guardrails to scale agentic workflows safely in sales, marketing, and s

Sep 3, 2025 Read more →

AI + Revenue From the archive 7 min read

AI Revenue Teams 2030 (Part I)

By 2030, high-growth companies will run AI-native revenue engines. This guide shows CEOs, CMOs, and CFOs how to redesign go-to-market with the right talent mix, KPIs, and guardrails, and how to phase the transformation over the next five years.

Aug 26, 2025 Read more →

AI + Revenue From the archive 5 min read

Re‑Engineering Marketing Teams for the AI Era

AI has rewritten the talent playbook. See how a B2B SaaS scale‑up can build – and scale – a marketing team that blends human creativity with machine speed, from its first hires through Series B growth.

Aug 5, 2025 Read more →

AI + Revenue From the archive 4 min read

Beyond the Click: Measuring Demand and Pipeline

Zero-click is the default. Discover how CMOs and CROs track AI answer visibility, attribute influence, and tie share-of-answer to pipeline and revenue.

Jul 31, 2025 Read more →

AI Adoption From the archive 10 min read

From Snippet to Source

Answer engines like Google’s AI Overviews, ChatGPT Search, Claude, and Perplexity now synthesize results into a single narrative. This guide explains what changed in SEO and AIO, why it matters for revenue, and how to structure content

Jul 29, 2025 Read more →

Revenue Engine From the archive 8 min read

ABM After the Cookie Collapse (Part II)

Turn first-party insight into revenue. Blend paid media, intent data, and tactile direct mail in an orchestrated ABM playbook that keeps conversions climbing.

Jul 24, 2025 Read more →

Revenue Engine From the archive 7 min read

Building a First-Party Data Engine

Marketers are racing to rebuild their demand engines for a cookieless future. This expanded guide explains what’s really changing in data collection and targeting, why first- and zero-party data now drive competitive advantage, and how RevOps, AI, and clean rooms turn privacy pressure into pipeline

Jul 22, 2025 Read more →

AI + Revenue From the archive 5 min read

From Insight to Action

Turn a modern RevOps data stack into a real-time feedback loop that accelerates revenue decisions with AI-powered insights.

Jul 17, 2025 Read more →

AI + Revenue From the archive 4 min read

Blueprint for Real-Time Revenue Intelligence

Learn how to build a real-time RevOps architecture that turns raw sales and marketing data into a single source of revenue truth.

Jul 15, 2025 Read more →

AI Adoption From the archive 5 min read

Use AI to Train the Next Wave of Marketers

Companies that slow hiring to fund AI risk an experience drought. Learn how CMOs can turn LLMs into apprenticeship engines, upskilling early‑career marketers while safeguarding brand integrity.

Jul 10, 2025 Read more →

AI Adoption From the archive 5 min read

From Makers to Conductors

LLMs have automated first-draft copy and design, forcing CMOs to hire editors, data stewards, and creative technologists who can orchestrate AI for brand-safe results. Learn how talent models, workflows, governance, and budgets must evolve – and why nurturing junior marketers still matter

Jul 8, 2025 Read more →

AI Adoption From the archive 7 min read

AI Hype vs. AI Help

AI amplifies teams that have strong systems underneath. A look at what actually works in business AI today, and how to avoid the pitfalls of over-automation.

Jun 5, 2025 Read more →