Insights
From building AI-driven pricing strategies to optimising sustainable agriculture practices, explore how our teams think about applying data and AI in practice.
Our insights unpack real industry challenges, emerging trends, and the decisions that drive revenue, efficiency, and innovation.
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Agentic code migration: turning lingering legacy to state-of-the-art software
Agentic code migration uses specialized AI coding agents and governed workflows to automatically analyze, convert, test, and refactor legacy code into standards‑compliant systems, making large‑scale platform and language upgrades faster, safer, and easier for development teams.
EoS pricing: why a solid pricing plan is not enough
End‑of‑Season pricing often looks solid on paper, but breaks down the moment real‑world variables start shifting. When teams can’t recalculate scenarios fast enough, strategy gives way to compromise, leading to margin loss and inconsistent execution.
Turning cannibalisation in retail from a risk into a competitive advantage
Retailers can turn product cannibalisation into a competitive edge by managing substitution to improve pricing decisions, profitability, and overall performance.
Building Safer AI Agents: The Lethal Trifecta and Architectural Defenses
AI agents represent a powerful evolution in automation, but like any powerful tool, they require thoughtful architecture. Understanding potential attack vectors isn't about fear, it's about building systems that we can trust in production.
What 2025 Taught Us and How We’ll Scale AI Impact in 2026
Discover ADC’s key AI lessons from 2025 and how we’ll turn solid foundations, governance, and real‑world use cases into scaled impact in 2026.
Connecting Wet Lab and Dry Lab: Insights From Our Event in Collaboration with Benchling
Discover insights from our event bridging wet lab and dry lab workflows, in collaboration with Benchling. Explore practical key takeaways.
How to Build Stable Revenue Reports that Reflect Reality
Read how to unify your revenue data for consistent, fast, and trusted reports with AI-driven metrics. Unlock stable revenue insights now.
Unlocking the Potential of AI with the Model Context Protocol (MCP)
Read our thoughts on the potential of MCP to enable scalable agentic systems and future-proof LLM strategies.
The New Rules of Revenue Optimisation: Historical Data Analysis and Experimentation
Read our take on why historical data analysis and experimentation must work together for revenue optimisation in airlines.
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From shaping an AI vision to scaling solutions in production, we work with you as one team to drive AI transformation that truly brings impact.
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