The dominant theme across yesterday’s announcements is the acceleration of agentic AI: systems that don’t just analyze or recommend, but autonomously act. DOJO AI’s $6M seed round, GoodData’s Agent Builder launch, Amazon Web Services’ new Bedrock AgentCore features, and TELUS Digital’s Adobe Summit showcase all point to the same inflection point — the martech stack is shifting from a collection of dashboards and tools that humans operate, to a layer of AI agents that operate on behalf of humans.
For Chief Marketing Officers (CMOs), this creates three concrete pressure points. First, workflow disruption is no longer theoretical. DOJO AI’s customers report 40% reductions in customer acquisition costs and campaign launches 10x faster — but those gains come from replacing human decision loops with automated ones. Marketing teams that have built their value around campaign management, reporting, and optimization are facing direct substitution risk, not augmentation. Second, the governance gap is widening faster than most organizations can close it. GoodData’s Agent Builder explicitly addresses the enterprise challenge of deploying AI agents at scale with proper controls — because most organizations that have experimented with agents have discovered that getting one to work is easy; getting dozens to work reliably, securely, and consistently across business units is a different problem entirely. Third, the e-commerce and customer engagement layers are converging with AI in ways that change the economics of personalization. TELUS Digital’s demonstration at Adobe Summit — compressing customer retention response latency from days to minutes — and Aurora Mobile’s EngageLab AI orchestration platform both illustrate that real-time, AI-driven customer engagement is no longer a competitive differentiator; it is becoming the baseline expectation.
The gap between vendor hype and practical implementation remains significant. Most of these announcements describe capabilities that require substantial data infrastructure, integration work, and organizational change management to deliver on their promises. DOJO AI’s 20% month-on-month growth is impressive, but its 100-customer base means it is still early-stage. Amazon’s AgentCore managed harness is genuinely useful for developers, but it still requires engineering resources that many marketing organizations don’t have in-house. The key strategic decisions CMOs need to make right now: Which workflows are ready for agent-based automation versus which still require human judgment? How do you build governance frameworks for AI agents before they’re deployed at scale rather than after? And critically — are you building on open, composable platforms or locking into proprietary ecosystems that may not survive the next consolidation wave?
Here’s the News:
DOJO AI Raises $6M to Power Agentic Marketing Platform, Transforming Data Into Business Impact
Source: ACCESS Newswire | April 22, 2026
London and Lisbon-based DOJO AI announced a $6 million seed round at a $30 million valuation, led by Armilar with participation from Heartfelt VC. The company positions itself as an “Intelligent Marketing System” built on agentic AI, centered on the DOJO Graph — a proprietary knowledge graph that constructs a living digital twin of each customer’s marketing operation and competitive landscape. The platform autonomously monitors paid and organic campaigns, audits SEO and Answer Engine Optimization visibility, generates brand-aligned content, and feeds outcomes back into a compounding intelligence layer. Co-founders Duarte Garrido (formerly of Coca-Cola and Sky) and Antonio Alegria (formerly of Feedzai and OutSystems) built the platform to replace fragmented martech stacks with a single system that acts on data rather than just reporting it. The company serves over 100 brands in the U.S. and U.K., including CoinDesk, Morningstar, PensionBee, and Refine Labs, and reports 20% month-on-month growth. Customers have reported a 40% reduction in customer acquisition costs, campaign launches 10x faster, and a 200% improvement in marketing performance efficiency without adding headcount. The funding will support product development and U.S. market expansion, with plans to strengthen multi-agent AI capabilities for more complex autonomous use cases.
GoodData Launches Agent Builder for Enterprise AI
Source: ACCESS Newswire | April 22, 2026
GoodData, the AI-powered analytics and decision intelligence platform serving over 123,000 companies and 3.9 million users, announced the launch of Agent Builder — a dedicated environment for building, configuring, and scaling AI agents across the enterprise. The launch directly addresses what GoodData identifies as the core enterprise AI challenge: not building an agent, but operationalizing and scaling custom agents that are reliable, governed, and context-aware across complex environments. Agent Builder enables no-code or code-based agent creation, with agents automatically connected to live, permission-aware enterprise data via GoodData’s governed semantic layer, AI Memory, and AI Knowledge. Every agent action is fully observable and auditable through a structured reasoning framework. The platform supports multi-tenant deployments, allowing a single agent configuration to roll out across hundreds of customer environments while maintaining governance and consistency. GoodData is also extending support for API-triggered execution and emerging agent standards including MCP and A2A. The company’s Field CTO noted that the real barrier enterprises face is not building agents but getting them into production with sufficient control — a gap Agent Builder is designed to close.
Amazon Web Services Announces New Features in Amazon Bedrock AgentCore
Source: Amazon Web Services | April 22, 2026
Amazon Web Services (AWS) announced significant new capabilities for Amazon Bedrock AgentCore, its platform for building and deploying AI agents, aimed at dramatically reducing the infrastructure burden that has slowed enterprise agent development. The centerpiece is a new managed agent harness feature that replaces the need for teams to build orchestration infrastructure from scratch — previously a multi-day engineering effort — with a three-API-call configuration. The harness handles compute, tooling, memory, identity, and security, enabling developers to go from concept to a running agent in minutes. AWS also launched the AgentCore CLI, which keeps developers in a single workflow across prototype, deploy, and operate stages, and introduced pre-built coding agent skills that give AI coding assistants curated knowledge of AgentCore best practices. The platform supports popular frameworks including LangGraph, LlamaIndex, CrewAI, and Strands Agents. VTEX VP of Engineering Rodrigo Moreira noted that the harness feature changes agent prototyping from a days-long infrastructure exercise to a minutes-long configuration change. The managed agent harness is available in preview in four AWS regions, with the CLI and persistent agent filesystem available across all commercial AgentCore regions.
TELUS Digital Showcases Real-Time AI Personalization Engine at Adobe Summit 2026
Source: PR Newswire | April 22, 2026
TELUS Digital, an Adobe Gold Solution Partner with 16 years of partnership and 150+ Adobe certifications, presented its end-to-end agentic AI workflow at Adobe Summit 2026 in Las Vegas, demonstrating how contact center conversations can be converted into real-time personalized digital experiences and loyalty outcomes. The company defines the core enterprise challenge as the “AI activation gap” — the disconnect between data availability and real-time decision speed, where contact centers capture high-value customer signals daily but most organizations trap this intelligence in transcripts and legacy systems. TELUS Digital’s workflow integrates custom GenAI extraction models with Adobe Experience Platform, Adobe Real-Time CDP, Adobe Journey Optimizer, and Customer Journey Analytics to move from audio capture to web and loyalty activation within minutes. A featured session on April 22 showcased how TELUS helped its parent company replace legacy batch processing with a real-time agentic AI ecosystem, compressing response latency from days to minutes and automating customer retention workflows. The demonstration represents a production-scale implementation of the kind of real-time AI orchestration that most enterprises are still planning rather than running.
Aurora Mobile’s EngageLab Redefines AI-Native Customer Engagement at NexTech Week Tokyo Spring 2026
Source: GlobeNewswire | April 22, 2026
Aurora Mobile (NASDAQ: JG) announced that its AI-first customer engagement platform EngageLab demonstrated its Native AI Orchestration capabilities at NexTech Week Tokyo Spring 2026, Japan’s largest AI technology expo. The platform moves beyond traditional messaging to create what the company calls a “Digital Workforce” — AI agents integrated directly into enterprise backend ecosystems including CRM, ERP, and logistics APIs, enabling them to execute business logic autonomously across LINE, WhatsApp, and Email. For retail and e-commerce, EngageLab showcased an Intelligent Fallback solution that automatically triggers WhatsApp or SMS when primary messages go unread, maximizing conversion for time-sensitive promotions. For logistics, the platform demonstrated 24/7 AI customer service integrated with backend APIs to autonomously handle parcel tracking and service booking. The company highlighted live deployments including Axios Management, where an AI-native multilingual framework eliminates time-zone barriers for international property investors. Aurora Mobile Japan K.K. is now fully operational with a dedicated local team, signaling a serious commitment to the Japanese enterprise market as AI-native customer engagement moves from pilot to production.
Contractor Commerce Launches AI-Powered Conversational Buying Experience
Source: PR Newswire | April 22, 2026
Contractor Commerce, the e-commerce and sales enablement platform built specifically for home service contractors, announced the launch of a conversational buying experience powered by AI, representing the next evolution of its platform. The new capability embeds AI directly into the shopping experience, enabling homeowners to engage in natural, personalized, and responsive buying journeys for residential services. Key features include an image upload option allowing homeowners to submit photos of their home systems for specific real-time recommendations, robust pricing tools with quote comparisons and full rebate integration, and an AI agent-guided buying journey that provides personalized assistance even when customers are unsure what services they need. The platform is designed specifically for contractors rather than retailers, with a focus on building trust, improving lead qualification, and capturing after-hours demand. The announcement reflects the broader trend of AI-powered conversational commerce moving beyond consumer retail into specialized B2B and service verticals, where the complexity of purchasing decisions makes guided AI assistance particularly valuable.
Board Announces Board Beyond 2026 Conference Focused on Agentic AI Planning
Source: Board International | April 22, 2026
Board, the enterprise planning platform trusted by global brands including BASF, Burberry, Coca-Cola European Partners, H&M, HSBC, and Toyota, announced its Board Beyond 2026 conference taking place May 11-12 at Union Halle in Frankfurt, centered on how agentic AI is reshaping corporate planning from retrospective reporting to continuous, forward-looking management. The event will feature Board CEO Jeff Casale and Chief Economist Michelle Green presenting how corporate planning evolves toward agentic planning through clearly defined maturity stages, with AI agents more closely connecting financial, strategic, and operational planning. Real-world case studies will include BASF Agricultural Solutions on incentive management transparency, TEDi on integrated financial planning implemented in four months, and Dehner on CPM solution selection. A panel discussion will address when continuous planning truly becomes agentic — the practical requirements for planning that is not only integrated and forward-looking, but actively supportive, adaptive, and decision-oriented. The conference reflects the growing enterprise recognition that AI’s most significant near-term impact on marketing and business operations may be in planning and forecasting rather than content generation.
Amaze Launches Amaze Live: Multi-Channel Live Shopping Platform for 13 Million Creators
Source: GlobeNewswire | April 22, 2026
Amaze Holdings (NYSE: AMZE), a global leader in creator-powered commerce, announced the launch of Amaze Live, a next-generation live shopping and community commerce platform designed to let creators, entrepreneurs, and brands sell live across social media, text, websites, and owned channels without being locked into a single platform. The platform serves Amaze’s existing ecosystem of more than 13 million creators and is positioned as an open-platform alternative to proprietary live shopping ecosystems. Amaze Live is intended to serve as the real-time conversion layer within the company’s Creator Commerce Flywheel, adding live transaction capability across its existing creator base and playing a key role within The Food Channel, where creator-led content and impulse purchasing behavior are highly aligned. The launch targets a social commerce market projected to exceed $6 trillion globally by 2035, with live shopping emerging as a high-conversion format combining product discovery, urgency, and real-time community engagement. Initial rollout is U.S.-only, with international expansion expected later in 2026. The announcement reflects the continued maturation of creator commerce as a serious e-commerce channel, with platforms increasingly competing on openness and multi-channel reach rather than proprietary lock-in.
