AI Strategy
Broader AI-on-Salesforce thinking — ROI, sustainability, trust, technical debt.
What Actually Is a Salesforce Forward Deployed Engineer?
The FDE job starts before anyone builds anything: deciding which agents are worth building, and deciding how you will measure success or failure once they run.
The Fable of the Hare and the Hedgehog
Our steps and learnings while building a semi-autonomous AI pipeline that takes a GitHub ticket and converts it into an implemented pull request.
Putting Learning in the Loop
Personalisation in software usually means removing friction. But friction, discoverability and serendipity make us better engineers. How I built AI skills that put learning back in the loop.
How AI Agents Speed Up Manual QA Testing on Salesforce Projects
See how AI agents like Claude Code speed up manual QA on Salesforce projects, from pulling JIRA tickets to writing bug reports and retest evidence.
The Platform Bet You Made Three Years Ago Is Now Your AI Problem
Why platform and architecture decisions from three years ago now decide your AI results: config-first vs code, API-first, MCP and headless, Heroku's end of sale, and the risks to avoid.
Salesforce Data Cloud (Data 360): Questions to Ask Before You Implement
What to ask before implementing Salesforce Data Cloud (Data 360): what it is, what it isn't (not an MDM or DMP), and the architecture decisions that matter.
The AI Budget You Need Is Already Hiding in Your App Portfolio
Most enterprises don't have an AI investment problem. They have a complexity problem they're trying to spend their way past. Simplifying your tech estate is the fastest path to AI ROI.
How to Keep AI-Assisted Salesforce Development Cost-Effective
Two pricing announcements on the same effective date will reshape AI development costs. Architecture decisions made now define the AI expenses for the next two years.
Thinking About Replacing Salesforce With Your Own Vibe-Coded CRM? Read This First.
Fast to create. Harder to secure, scale, and maintain. Why "build your own CRM with AI" looks like a $300B savings on paper and a costly software business in practice.
Salesforce RCA Maturity: Frameworks, Metrics & Operational Readiness
Assess Salesforce RCA maturity with a data-driven approach to workflows, governance, and root-cause processes. Learn how to measure and improve operational reliability
The Agentic Enterprise: Building Trust, Not Just Capability
Based on our Dreamforce panel: AI, Unpacked: Real-world Guidance for Every Stage. Every technology wave promises reinvention. Few deliver it. The agentic enterprise may prove an exception – not because of its novelty, but because it redefines what work itself means. Marc Benioff called AI agents “the beginning of an unlimited workforce.” That framing captures...
Can AI Reduce Opportunity Costs?
Many companies approach AI with an initially narrow goal: cutting operating costs. But efficiency is only the starting point. The greater opportunity is reducing opportunity costs, which are the innovations, growth initiatives, and customer improvements you cannot pursue while hours, budgets, and talent are tied up in low-value legacy work. The Greater Promise of AI...
Agentforce Change Management
AI adoption is collapsing under its hype. In 2025, 42% of companies abandoned most of their AI initiatives, up from 17% the previous year. Three out of four projects still fail to deliver. And only 4% of organisations reach production-scale impact. The reasons are consistent: insufficient data, vague outcomes, and shallow change management. Yet most...
Salesforce Einstein Trust Layer: AI Security & Compliance in 2026
Learn how Salesforce’s Einstein Trust Layer ensures AI security compliance with data masking, zero data retention, and auditability.
The AI Sustainability Paradox: How to Balance Innovation and Environmental Impact
In December 2024, OpenAI released its latest model, o3, and called it the beginning of Artificial General Intelligence. Its pass on the ARC-AGI benchmark, a test for any AI to see how well it can adapt to new tasks, was pretty shocking. o3 got an incredible 87.5%, which is a lot better than the previous...
How to Calculate and Accelerate Agentic AI ROI?
Learn how to quantify Agentic AI ROI, choose high-impact use cases, and scale value across your organization.
Process Driven Approach: Definition, Benefits & Implementation
Learn how a process-driven approach improves productivity for Salesforce. How to visualize workflows, align goals & increase efficiency.
How To Reduce Salesforce Technical Debt in Age of AI?
Learn how to manage Salesforce technical debt with best practices, reducing inefficiencies and enhancing system performance and scalability.
Reflecting on a Year of AI Integration in Salesforce: Insights from Aquiva Labs
This month we commemorate the first anniversary of ChatGPT4, a pivotal moment that has significantly influenced the tech landscape. To mark this occasion, Robert Sösemann, Principal Architect and AI Task Force member at Aquiva Labs, has shared a reflective piece on Salesforce Ben, detailing the team’s journey and learnings from integrating AI within Salesforce over...
How to Develop an AI Strategy for Business Growth?
Learn how to build a value-driven AI strategy that aligns with Salesforce digital transformation. Discover the 4 pillars of AI success.
Einstein GPT: The First Generative AI for CRM
With Einstein GPT, Salesforce CRM users have the capability to integrate both public and private AI models with their CRM data. This integration allows for natural-language queries, enabling conversational interactions within the Salesforce CRM platform.
4 Ways To Turn Digital Disruption Into Opportunity With Salesforce
Four ways Salesforce supports digital transformation, and how the pandemic pushed it from tech-centric buzzword to strategic priority.
