Forkast mind
Enterprise AI agents, workplace automation, agentic tools in business, and productivity agents.
Agents at Work
With 40,000 developers and 100,000+ weekly agentic hours, Citi's $5B self-funded AI transformation sets a new benchmark for governed, enterprise-scale agent deployment.
◆ Dana Ellison
Agents at Work
Claude becomes the default reasoning engine across Salesforce's entire ecosystem, from Agentforce to Slack, in a partnership that could reshape how enterprises choose AI vendors.
◆ Dana Ellison
Agents at Work
By embedding agent creation into the EHR, Epic is proving that in regulated industries, the platform that owns the workflow owns the future of autonomous work.
◆ Dana Ellison
Agents at Work
The AI-native ERP hit a $1B valuation in under two years by embedding its agent directly into the real-time general ledger. Big Four firms are already on board.
◆ Dana Ellison
Agents at Work
The ex-Eigen Technologies team is building digital twins that capture each knowledge worker's judgment, context, and communication style. Law firms selling expertise by the hour are the first customers.
◆ Dana Ellison
Agents at Work
The voice-first logistics agent company is already past the pilot stage at 8 of the 10 largest US freight brokers — while most enterprise AI projects stall before they ship.
◆ Dana Ellison
Agents at Work
The durable-execution platform behind OpenAI and Netflix is reportedly in talks to raise $500 million as enterprises discover that running agents reliably is harder than building them.
◆ Dana Ellison
Agents at Work
DigitalOcean's managed hosting wraps OpenClaw in isolated environments and validated runtime updates, but the underlying vulnerabilities that triggered the bans remain inside the code.
◆ Dana Ellison
Agents at Work
The $60B Cursor bet starts paying off: always-on agents that sign into your apps, learn your workflows, and coordinate as a team, but SpaceXAI still hasn't published performance benchmarks.
◆ Dana Ellison
Agents at Work
Six security vendors plug directly into Claude's inference path, letting enterprise teams enforce their own data policies before a prompt ever reaches the model. The procurement question shifts from 'which model is safe enough' to 'which one gives my security team the most control.'
◆ Dana Ellison
