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Short, punchy posts on AI automation you can actually use. Updated when we find something worth sharing.

DISPATCH #001 • FEBRUARY 2026

The 75% Problem: Why Most AI Projects Die Before Production

Three out of four AI projects never reach production. Here's the exact moment they fail — and how to avoid it.

The data is damning: 75-85% of AI pilots never reach production. Companies spend $50K-$500K on "discovery phases" and walk away with a slide deck that never ships.

The failure point is almost always the same. It happens between the proof-of-concept and the production deployment. The POC worked in the sandbox. It impressed the stakeholders. Then it sat in a queue while IT evaluated security implications, procurement negotiated licensing, and leadership debated whether to "scale it."

By month six, the model has been updated twice. The intern who built the POC is gone. Nobody knows how it works. The initiative is quietly shelved.

The fix isn't better technology. It's a different process.

At Berserk, we skip the POC entirely. We go directly to production. Day one of Sprint 1, we're building something that will run in prod. Security is baked in from the start. Ops knows how it works because they're watching us build it. The model gets replaced before we launch? Fine. We're deploying the current version, not the version from six months ago.

Speed isn't about cutting corners. It's about eliminating the gaps where projects go to die.

DISPATCH #002 • FEBRUARY 2026

Dorsey Cut 4,000 Jobs. His Stock Surged 24%. Speed Wins.

Jack Dorsey didn't form a committee. He acted. The market rewarded him immediately. What does this mean for your business?

On February 26, 2026, Jack Dorsey announced Block was eliminating 4,000 jobs — 40% of the workforce. The reason cited: AI making teams dramatically more productive.

Block's stock surged 24% on the news. Goldman Sachs raised its price target. The CFO said they would "move faster with smaller, highly talented teams using AI to automate more work."

This is the signal. Not the first one — similar things happened when Shopify announced AI-first hiring, when Klarna reported replacing 700 service reps with a single AI agent — but this one is louder.

The companies that move fastest on AI are being rewarded fastest by the market.

The companies still in "planning mode" are falling behind every single day. Not dramatically. Not visibly. But compoundingly. Like interest on a debt you're not paying down.

The question isn't IF you'll automate. It's how fast you'll decide to start.

DISPATCH #003 • FEBRUARY 2026

The First Automation You Should Build (For Almost Every Business)

If you don't know where to start, start here. This one automation pays for itself in the first month.

After running Sprint 0 Recon assessments across industries, we keep finding the same pattern: the highest-ROI first automation is almost always the same.

Email triage and routing.

Most businesses receive hundreds of emails per day. A meaningful percentage require someone to read them, classify them, and route them to the right person. This is pure human time spent on pattern recognition — something AI handles better, faster, and cheaper.

An email triage agent, properly built, can:

  • Classify inbound emails (lead, support, billing, spam, urgent)
  • Draft responses for common queries (ready for human review and send)
  • Route to the right team member based on content
  • Escalate anything urgent immediately
  • Log everything to your CRM automatically

Build time: 2-3 weeks. ROI: 20-40 hours of human time per week recovered. Typical value: $40K-$60K/year in recovered capacity.

This is why it's Sprint 1 for so many of our clients. Fast to deploy, immediate ROI, and it demonstrates AI capability to the whole team from day one.

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