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Insights on AI, security, software architecture, and building what's next for ambitious businesses.
1574 articles in Guide · Page 17 of 79
AI Maturity Scorecard for Consumer Operating Partners
A practical playbook for private equity operating partners to assess, benchmark, and accelerate AI maturity across consumer portfolio companies—driving EBITDA
AI Risk: Jailbreak Resistance in Enterprise Deployments
A practitioner's guide to managing jailbreak resistance in enterprise AI. Detection, defense-in-depth controls, real-time monitoring, and incident response
Bolt-On Integration Playbook for B2B Software Roll-Ups
A step-by-step playbook for PE operating partners integrating B2B software bolt-ons. Diligence, architecture, AI alignment, and exit positioning—all with real
Building Inside a Studio vs Joining a Startup: A Founder's View
Venture studio founder Keyvan Kasaei breaks down the real trade-offs of building inside a studio versus joining a startup—equity, speed, risk, and resource
DeepMind Frontier Release: What Enterprise Buyers Should Test
A repeatable framework for enterprise teams to test every DeepMind frontier model release—from Opus 4.8 to future versions—measuring performance, safety
Essential Eight and AI Workloads: Mapping the Controls
A practitioner guide to mapping the ASD Essential Eight controls to AI workloads. Covers evidence patterns, audit prep, and how PADISO secures AI systems for
Implementing Singapore AI Verify: A Practitioner's Path
A hands-on guide for mid-market AI companies aligning with Singapore's AI Verify framework. Learn evidence patterns, tooling, review cadences, and how to
Multimodal Models vs Text-Only Models
A repeatable framework for engineering teams to evaluate multimodal models vs text-only models. Understand key differences, benchmarks, and real-world use
Negotiating Studio Terms: A Founder's Checklist
A founder's checklist for negotiating venture studio terms. Learn valuation caps, governance, dilution, and the patterns PADISO uses to protect founder equity
Quantisation, Distillation, and Pruning: Cost Levers for Self-Hosted
Discover how quantisation, distillation, and pruning cut self-hosted AI costs. A repeatable framework for engineering teams to compress models from Opus 4.8 to
Securing Agent Tool Use: Capability-Based Permission Models
Secure agent tool use with capability-based permissions. Learn how token-based access thwarts prompt injection and enforces least privilege. A guide for CTOs.
Self-Hosting Frontier Models: When the TCO Flips
A repeatable engineering framework to evaluate self-hosting frontier models like Claude Opus 4.8 and GPT-5.6. Learn when GPU rental, ops, and engineer time
Studio Brand and Recruiting: The Underrated Levers
Studio brand and recruiting are the underrated levers that separate high-growth ventures from the rest. PADISO founder Keyvan Kasaei reveals the operator's
Studio Economics: Cash, Equity, and Realistic Hit Rates
Explore the real cash, equity, and hit-rate dynamics of venture studios. PADISO's operator playbook reveals the numbers behind studio economics for mid-market
The Australian Venture Studio Landscape 2026
An operator's deep dive into the 2026 Australian venture studio landscape — real economics, equity norms, AI-first builds, and how PADISO's venture
AI in Financial Services: Credit Decisioning Patterns That Work in 2026
Production-tested AI patterns for credit decisioning in financial services: architecture, model selection, governance, and ROI benchmarks that close the
AI Governance in Construction: A Board-Ready Framework
A board-ready AI governance framework for construction. Learn policies, audits, and reporting cadences to manage AI risk and drive profitable outcomes.
AI Governance in Logistics: A Board-Ready Framework
A board-ready AI governance framework for logistics. Learn risk appetite, policy architecture, audit trails, and reporting cadence to satisfy regulators and
AI in Healthcare: Claims Processing Patterns That Work in 2026
Discover production-tested AI patterns for healthcare claims processing in 2026. Architecture, model selection, governance, and ROI benchmarks to move from
AI in Healthcare: Scheduling Automation Patterns That Work in 2026
Production-tested AI scheduling patterns for healthcare: architecture, model selection, governance, and ROI benchmarks that move from pilot to production.