60% of enterprises using SCM software will have adopted agentic AI features

In partnership with

700+ teams have Viktor reading their Google Ads every morning.

Your media team opens Slack at 8am. There's a cross-platform brief in #growth: Google Ads spend vs. ROAS, Meta CPA by campaign, Stripe revenue by channel. Viktor posted it at 6am. Nobody asked for it.

Last week, one team's Viktor caught a spend spike at 2am on a broad match campaign and flagged it in Slack: "CPA up 340%. Recommend pausing and shifting budget to the top two performers." That would have burned $3K by morning. The media buyer woke up to a problem already handled.

Your strategist reviews spend trends. Your account manager checks revenue attribution. Same Slack channel, same colleague, before anyone's first coffee.

Google Ads, Meta, Stripe. One message. No Looker, no Data Studio. Anomaly detection runs around the clock. Cross-platform reporting runs on autopilot.

5,700+ teams. SOC 2 certified. Your data never trains models.

"Viktor is now an integral team member, and after weeks of use we still feel we haven't uncovered the full potential." — Patrick O'Doherty, Director, Yarra Web

Start free. $100 in credits →

Block introduces Managerbot, turning Square AI from assistant into operator

Block introduced Managerbot for Square sellers, according to VentureBeat, positioning it as a more proactive system than the company’s earlier reactive AI assistant. The significance is less the chatbot layer and more the product direction: Square is moving toward an agent that helps run parts of a merchant’s business, not just answer questions about it. That matters for the broader agent economy because commerce platforms are increasingly treating AI as an operating layer embedded inside seller workflows. Strategically, it is another sign that agentic systems are moving directly into SMB software, where execution and recommendations can be tied to real revenue activity.

Aptean adds ready-to-run agents to demand planning

Aptean released Logility DemandAI+ on AppCentral, its agentic AI platform, with prebuilt AI agents that customers can activate immediately. The company says those agents can improve forecast accuracy, retrieve historical data, detect emerging trends, and flag planner training opportunities, while allowing teams to choose between autonomous operation and human intervention. This is notable because it packages agentic behavior into a narrow, high-value enterprise workflow rather than selling general-purpose autonomy. Strategically, it reinforces where agent adoption is getting traction first: domain-specific systems where the agent’s scope, data, and business outcome are tightly defined.

TrueCommerce embeds agentic AI into B2B trade and partner onboarding

TrueCommerce said it is embedding agentic AI across its platform to help customers onboard, integrate, and scale with trading partners more efficiently. The company frames the release around reducing complexity in EDI and trading-partner connectivity, which makes this less about flashy consumer agents and more about automation inside real B2B transaction infrastructure. That is strategically important because agentic commerce will depend on systems that can negotiate messy back-office workflows, not just front-end shopping experiences. In practical terms, this looks like agentic AI moving deeper into the connective tissue of supply-chain and trade operations.

Qlik says agentic analytics is moving from pilots into production

Qlik said customers including Compass Healthcare, Malmö Redhawks, and Bystronic Group are already deploying its agentic analytics capabilities in real workflows. The company highlighted its Discovery Agent, plus an MCP server that lets third-party assistants and AI agents securely access Qlik analytics and governed enterprise data. What stands out here is the emphasis on explainability, governed data access, and operational integration rather than generic chat-based analytics. Strategically, this is a good example of where enterprise agent adoption is becoming credible: in systems that combine reasoning with trusted data and explicit governance.

Gartner forecasts agentic AI in supply chain software jumps from niche to major spend category

Gartner said supply chain management software with agentic AI capabilities will grow from less than $2 billion in 2025 to $53 billion by 2030. It also projected that 60% of enterprises using SCM software will have adopted agentic AI features by 2030, up from 5% in 2025. This is not a product launch, but it is one of the clearest market signals published on April 7 for where enterprise buying is expected to concentrate. Strategically, it suggests the next leg of agent growth may be driven less by broad consumer agents and more by workflow-specific enterprise systems where simple agents cluster into multi-step orchestration.

Anthropic’s OpenClaw restriction exposes the economic fault line in the agent stack

Axios reported that Anthropic blocked Claude subscriptions from being used in third-party agent tools like OpenClaw, highlighting growing tension between frontier model providers and persistent autonomous-agent products. The reported rationale centered on compute costs and control over how models are used, which goes straight to the heart of agent economics. This matters because it is a real-world example of the business-model friction behind agentic AI: users want long-running, flexible agents, while labs may not want subscription products subsidizing expensive autonomous usage. Strategically, this is one of the strongest ecosystem signals from April 6 that the agent economy will be shaped as much by pricing and access controls as by technical progress.

What to Watch this Week

 🎙️AI on Fire: Real Builders. Real Heat.

Stories from people building AI Agents. Explore all episodes here

Building with AI Agents? Come talk about it.

AI on Fire is the podcast where we speak with founders and builders shaping the agent economy.

👉 Apply to be a guest

🏆 The Leaderboard Never Sleeps

The global ranking of AI agents is shifting every day. Who’s on top? Who just dropped?

👉 Explore the Leaderboard →

🗺️ The Map of AI Agents (Live & Growing)

We’re charting the entire AI agent ecosystem — thousands of options across categories.
Your next agent is already on the map.

👉 Explore the Landscape Map →