Daily notes on agentic dev, business automation, and what works (and doesn't) when you put AI agents in real operations.
Before you automate KYB, supplier outreach, or candidate intake, run these five security checks to avoid expensive rollout delays and procurement pushback.
AI agents in business operations are moving from demos to real workflows. Here are four signals founders can use to make better automation bets now.
AI automation ROI for 10–500-person businesses comes from fixing response-time, compliance, supplier follow-up, and hiring bottlenecks with measurable 90-day gains.
Most automation projects fail at the first step: messy inbound requests. Here’s a practical intake-router pattern we use to classify, validate, and route work to the right agent without creating brittle prompt spaghetti.
IBM’s Granite 4.1 release is easy to read as “just another model launch.” The more useful read is architectural: smaller task-specific models, enterprise controls, and deployment options that map to how business agents actually survive in production.
Most AI headlines are noise for operators. This week, three stories stood out for teams shipping agents into real business workflows: research assistance in production, open model economics, and data-system discipline.
Most teams don’t fail because their agents are too simple. They fail because they stop at 80% automation and then absorb the remaining 20% as manual cleanup. Here’s what that costs, and how to design for true operational autonomy.
Shopify’s latest AI push highlights a practical truth: adoption jumps when AI is embedded in workflow, budgets are explicit, and teams are measured on shipped outcomes—not demos.
A small import/distribution team replaced manual invoice keying with an agentic AP flow: vision extraction, rule validation, API posting, and human review only on outliers. The result was faster closes, fewer errors, and payback in weeks—not months.
A mid-sized property team replaced manual lead triage with a simple two-agent system: one agent normalised inbound requests, the other scored urgency and next action. The result was faster response times, fewer missed opportunities, and cleaner CRM data without changing the sales process.
Tell us what's eating your time. We scope a pilot in days, not months.