Insights, methods
and newsroom.

We share the methodologies we rely on, explain the engineering decisions behind our work, and drill down on each topic — because understanding the why matters as much as the how.

When Your Tech Partner Gets Acquired: Protecting Code, SLAs, and Continuity

A CTO's guide to vendor acquisition risk. Learn what happens to your code ownership, SLAs, pricing, and team continuity when an outsourcing partner is acquired.

The AI Accountability Gap: Who Owns Outcomes When Enterprise Models Fail

When an enterprise AI model hallucinates, drifts, or is prompt-injected in production, who answers? A CTO's guide to closing the accountability gap with baselines and ownership.

Hitachi GlobalLogic Merger: What CTOs Must Recheck Before Signing

When IT outsourcing giants consolidate, dev-partner economics shift at renewal. Get a pre-signing checklist for rate caps, KPI baselines and build-vs-partner decisions.

New York AI Transparency Law: Architecture, Governance & Build vs Partner

How New York's proposed state-level AI mandate reshapes enterprise architecture, governance budgeting, and build-vs-partner decisions. A CTO compliance checklist.

Proposed AI Tax: Build vs Partner Cost Math for CTOs

How proposed AI automation taxes reshape in-house versus outsourced cost math. Separate live proposals from hype and make a defensible build-vs-partner call.

Securing Outsourced AI Development: An LLM Risk Checklist for CTOs

A procurement-ready checklist for vetting outsourced AI/LLM partners on data handling, adversarial defenses, output verification and vendor security posture.

AI Readiness Gap: How Enterprises Close It Without Mass Hiring

Enterprise AI confidence outpaces readiness. Learn how dedicated teams, staff augmentation, and talent acceleration close the gap without slow in-house hiring.

AI Product Development Lifecycle: Speed Without Losing Rigor

How incumbents embed AI across design, validation, manufacturing while preserving engineering rigor. A skeptical framework for CTOs evaluating build vs partner.

Autonomous Sales Agent: Adam by Onesight Explained

Discover how Adam books calls, learns from every conversation, and automates outbound prospecting. See pricing tiers and whether it fits your outreach.

How Enterprises Are Using AI to Cut Product-Development Time-to-Market

CTOs analyze peer examples of AI-driven R&D acceleration, digital continuity mechanisms, and reliability KPIs for board-defensible time-to-market claims.

Enterprise AI Readiness: Closing the Confidence–Readiness Gap

Why AI confidence has outrun organizational readiness. A framework to assess your five readiness dimensions, establish baselines, and close gaps governance-first.

Choosing an Outsourced Product Development Partner: What Enterprises Must Check Before Signing

A board-level checklist for selecting tech partners for multi-year product development. Evaluate reliability KPIs, AI security posture, IP governance, and single-end accountability before signing.

Embed AI in Product Development: Build vs Partner Framework with ROI Benchmarks

CTOs need defensible baselines before adopting AI. Learn how to verify vendor claims, establish pre-adoption KPIs, and decide build vs partner using measurable frameworks.

Regulatory Accountability for Outsourced Code: A CTO's Guide

Emerging regulations require enterprises to audit tech partners continuously. Get a framework for assessing vendor security, AI risks, and building defensible claims at the board level.

Build vs Partner AI Implementation: A Decision Framework

Decide build vs partner AI implementation with a data-readiness framework, TCO math, and a warning against piecemeal stacks. Actionable guide.

AI Accelerated Product Development: A Measurable CTO Framework

CTOs: stop trusting time-to-market headlines. Get a measurable framework for AI-accelerated product development with real KPIs and engineered risk defense.

Agentic AI Enterprise Deployment: A Four-Step Framework

Move agentic AI from pilot to production with a sequenced framework: governance first, security hardening, enforceable tooling, and workflow change.

AI-Assisted Coding Quality: Catch Decay Before Production

Catch AI-assisted coding quality decay before production. Track review density, defect escape rate, and change-failure rate to control hidden maintenance debt.

FSB AI Sound Practices: Roadmap for Finance & Healthtech CTOs

Learn how the FSB's finalized AI sound practices translate into an operational governance, KPI, and LLM-security roadmap for finance and healthtech CTOs.

Outsourced Secure Application Development: A Compliance Guide (2026)

Outsourced secure application development never transfers accountability — Onesight Global's compliance-first framework for a GDPR-compliant offshore partner.