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Insights on AI, security, software architecture, and building what's next for ambitious businesses.
2167 articles · Page 59 of 109
Cost-Out With AI: Automating SG&A and Back-Office in Portcos
Cut SG&A costs 30–40% with agentic AI. Finance ops, support, procurement automation with payback math. Portco playbook.
Cross-Portfolio Data Platform: Shared Infrastructure for Portcos
Build a unified data platform across your portfolio. Apache Superset, lakehouse architecture, and governance that compounds value across holdings.
CTO-Led 100-Day Diagnostics Across a PE Portfolio
A CTO-led diagnostic framework for PE portfolio companies. Scorecard methodology, quick wins, and value-creation roadmaps in the first 100 days.
CTO for Private Equity: The Portfolio Technology Operating Model
Deploy one senior technical leader across your PE portfolio. Mandate, cadence, and the operating model that turns tech from cost to EBITDA lever.
Cutting Churn With AI in Subscription Portcos
Deploy AI-driven churn prediction and agentic retention plays to protect recurring revenue in portfolio companies. Concrete playbook for PE operators.
Interim CTO for Carve-Outs: Standing Up Technology From Day One
Playbook for separating IT, identity, and data from parent company on deadline. TSAs, stand-up sequencing, and first-90-day tech plan.
Margin Expansion Playbook: AI Levers Mapped to Each P&L Line
CFO-grade map of AI interventions by P&L impact. Sequenced by speed-to-impact and implementation risk. Margin expansion starts here.
The Operating Partner's Guide to Working With a Portfolio CTO
How to set mandates, measure fractional CTO performance, and use technical leadership to control vendor spend and delivery risk across your portfolio.
The PE Portfolio CTO: One Technical Leader Across Five Portcos
How to structure a shared CTO role across PE portfolio companies. Governance, prioritisation, and avoiding overextension.
Pre-Deal CTO: Technical Diligence That Shapes the Investment Thesis
Bring in a CTO before close to pressure-test tech, size value creation, and price integration risk. The guide to technical diligence that changes deal outcomes.
Revenue-Side AI for Portfolio Companies: Pricing, Win-Rate, and Churn
Three revenue levers AI moves in portcos: pricing, win-rate, churn. Data requirements and realistic uplift ranges for sponsors to underwrite.
Sales Productivity AI for B2B Portcos: From Lead to Close
How B2B portfolio companies use AI to automate research, drafting, and pipeline triage. Proven tactics to lift win rates and shorten sales cycles.
Scaling One AI Win Across the Portfolio: From Pilot to Standard
Turn a single portco AI success into a repeatable play across your holdings. Productise, standardise, and roll out with governance, metrics, and real results.
Sequencing AI Transformation Across the Hold Period
A 36-month roadmap for PE-backed and scale-up founders: stabilise, automate, then scale AI. Year one vs exit prep.
Shared Services AI: Centralising Finance and Ops Across a Portfolio
Build a cross-portfolio shared-services layer with AI. Learn what to centralise, what to leave local, and the savings model that works.
Standing Up a Portfolio Transformation Office
Build a lightweight PMO that drives AI initiatives across your portfolio. Stage-gates, staffing, and avoiding overhead while shipping transformation.
Constitutional AI in Practice: What It Means for Enterprise Buyers
Decode Constitutional AI for enterprise procurement. What's real safety, what's marketing, and what Australian CISOs should evaluate in vendor calls.
Prompt Injection Defences for Production Claude Agents
Master prompt injection defences for production Claude agents. Real threat models, concrete mitigations, and deployment patterns from Sydney AI leaders.
Red-Teaming Claude Agents Before They Hit Production
Master red-teaming Claude agents before launch. Exploit prompt injection, tool-call abuse, data exfiltration, and cost vectors with PADISO's checklist.
Evaluations for Claude Agents: Beyond Vibe Checks
Build eval suites that catch regressions before users do. Golden datasets, LLM-as-judge patterns, and eval cadence for production Claude agents.