News & insights
AI software development news and insights
Field notes on AI engineering, revenue systems, automation and search visibility, written by the team doing the builds.
AI Candidate Matching for ATS Platforms: Beyond Keywords
Keyword search misses great candidates and surfaces poor ones. Semantic AI matching reads skills, experience and context, then ranks candidates recruiters can actually place.
Scoping an AI MVP: What Startups Should Build First
AI makes it tempting to build everything at once. The startups that win scope a narrow, measurable MVP, ship it in weeks and let real usage decide the roadmap.
Legacy System Modernisation With AI: A Low-Risk Playbook
Old systems hold critical data and business rules nobody fully remembers. AI changes the economics of modernisation, from reading legacy code to migrating data without downtime.
AI Lead Scoring Models That Sales Teams Actually Trust
Points-based lead scoring rarely survives contact with a real sales team. Here is how to build an AI scoring model that explains itself, improves with outcomes and earns rep adoption.
AI Proposal and Quote Generation for Sales Teams
Proposals are where deals stall. An AI proposal engine drafts accurate, on-brand quotes from CRM data in minutes, so reps spend their time selling instead of formatting documents.
AI Customer Support Agents Trained on Your Own Data
Generic chatbots frustrate customers because they guess. A support agent grounded in your own policies, tickets and product data answers accurately, escalates cleanly and gets better every week.
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