CRM

The holiday season couldn’t feel further away, but for small and medium business (SMB) owners, this is exactly when the work begins. Waiting until the leaves change to begin your Black Friday planning often leads to missed opportunities and overwhelmed teams who are spread too thin. Small businesses and startups face unique pressures to compete […]

If you manage enterprise operations or back-office processes, here’s a scenario that will sound familiar. Invoices entered manually into an ERP. Manual matching between purchase orders, goods receipts, or vendor master data. Duplicate payments slipping through. Audits that depend on individual judgment rather than standardized workflows. Every operations leader we talk to has a version

For two decades, I walked school halls as an educator in the Oakland Unified School District – first as a teacher, then as a principal, and eventually, as a superintendent leading my district. I mostly worked in middle schools. During this time, it became glaringly clear to me that there is a “missing middle” in

When Salesforce launched the SOAP API in 2000, it made a bet that proved prescient: expose the platform, and developers will build on it in ways no single company could match alone. At the time, most internet businesses treated APIs primarily as internal infrastructure. Salesforce treated its API as a business model, turning a CRM

Today, people want to engage with businesses on the exact same channels they use to talk to their friends and family – and they want their experiences fast, personal, and connected. We’re thrilled to announce a major step forward in making that a reality by adding WhatsApp Voice to Agentforce Contact Center. This key new voice

Every small and medium business (SMB) owner knows the feeling of a quiet inbox and the pressure of a shifting market. You spend your morning managing operations and your afternoon trying to find new customers, often leaving very little time for actual growth strategy. This constant balancing act makes it hard to focus on high-value

What if launching an RL training run felt less like operating a GPU cluster and more like talking to a sharp research engineer in Slack? Training AI models is still strangely artisanal, involving tedious infrastructure handling as we outlined in our SFR-RL stack. If you are an AI researcher or engineer, you know the loop: