Industries
The event AI maturity gap
Adoption of AI for events is near universal. Strategic use is not. A lifecycle view of what actually pays back.
RNF Technologies blog
Read practical articles from our software teams, with reference links for further reading.
People and Staffing
Staffing for AI: the layer you are actually short in
AI staff augmentation is the fastest lever most companies have for closing the AI talent gap. It works when you treat the AI-fluent team as three layers, build, integrate and govern, and bring in outside specialists for the layer you are actually short in.
Latest articles from our teams
AI and Transformation
What AI agents can actually run today
Agents deliver in bounded tasks and stall on open-ended judgment. What separates the production deployments from the cancelled pilots.
AI and Transformation
Buy the commodity, build the difference
Buy the commodity use cases. Build only where proprietary data makes the capability a differentiator, and design the exit at signature.
AI and Transformation
Ready for AI, or just adopting it?
Adoption is near-universal and readiness is not. What an AI readiness assessment should score, how to weight it, and what to fix first.
AI and Transformation
The roadmap between pilot and P&L
Adoption is near universal; value is not. A four stage roadmap that gates governance, proof, data and scale before it funds ambition.
Engineering
The watch app most teams should not build
Watch apps get overbuilt. Decide standalone or companion on day one, scope sensors against real API access, and start with a tile.
Our articles help you assess development options before committing your project budget.
Each figure includes its source and year, with limitations explained alongside the evidence.
Browse the article archive.
Updated and verified through 2026
Product and Design
The four trends underneath the trends
Trend lists rank aesthetics. The evidence points somewhere else: speed, mobile-first review order, restraint, and a design system leadership actually trusts.
Industries
Decide what you are treating
Claim scope, data architecture and crisis escalation are day-one decisions. Retrofitting any of them after launch is expensive and visible to regulators.
AI and Transformation
The automation that stays switched on
Automation earns its keep in bounded, measured work. Agentic layers earn theirs only where a human structurally owns the exceptions.
Industries
The course nobody finishes
Enrolments are easy and completions are not. The build or buy call, the retention mechanics and the AI tutor question, in order.
Industries
The OTT app nobody can afford to build twice
Growth at any cost is over. The revenue model, not the feature list, now decides how an OTT platform gets built.
AI and Transformation
Digital transformation, done in the right order
Most transformations stall on sequence, not software. Why programs fail, what apps really deliver, and the order that makes transformation stick.
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