One example of what Multi-Agent Teams on @stackai can do: a weekly SEO report. ✨ You build one agent and ask it for the report. It works out that the job needs: - traffic and behavior from Google Analytics - rankings and impressions from Search Console - backlinks and competitive position from Ahrefs - strategy and history from a knowledge base The agent creates a sub-agent for each, runs them in parallel, and combines the results into one report.  This is the simplest version of it. The same agent handles claims review, diligence, or RFP responses, and it goes well beyond a single report. Build one agent. It executes the rest.

👀 GPT-6 Astra is coming to @stackai  – and here's why you'd want to build your next AI agent with it: It's OpenAI's most capable model, built for the hardest end-to-end work – with a 1,050,000-token context window, 128,000 max output tokens, and top-tier reasoning. It's state-of-the-art on computer use, browsing, and software engineering. For enterprise teams, that means dependable execution on tedious multi-step workflows that used to require a human at the keyboard... Filling out spreadsheets, updating customer records + stronger performance across coding, research, and document generation, backed by native support for code interpreter, file search, and web search tools. Put GPT-6 Astra to work on StackAI and automate your most critical back-office processes with speed, scale, and control 🚀

A property manager was drowning in work orders. Now, with @stackai, when a tenant emails "My HVAC died last night": 1. GPT-5.6 reads the email and pulls the details: tenant, unit, issue, urgency. 2. Claude queries the vendor directory and matches the right HVAC pro. 3. Claude pings the team on Slack to approve ✅ or reject ❌ (human-in-the-loop) Once approved: emails the vendor the full work order, confirms with the tenant, and updates the system of record TL;DR: 💰 ~$400K saved annually in admin labor ⚡ Faster response on urgent issues 📥 Zero work orders lost in the inbox

Big news: StackAI is joining @asana!  We created StackAI to empower enterprises with secure, powerful agentic workflows that automate manual processes; Asana created the operating system for human-agent teams.  Now, we're building the place where humans and AI agents execute across every system a business runs on. Same product, same team, same brand, and way more fuel. We're just getting started. 🚀

We’re excited to introduce subagents on StackAI 🚀 The manager/orchestrator AI agent breaks a high-level goal into tasks, delegates to specialist subagents – each with their own tools, context, and expertise – then reviews & delivers one polished result. Why it matters? ⚡ Speed: tasks run in parallel, not sequentially 🧠 Focus: each subagent handles a specific task 📈 Scalability: complex problems break into small, focused teams Combine this with computer + browser use ➡️ an enterprise-ready AI team with a manager, specialists, and built-in quality control. Watch our new video & book a demo to see subagents in action! #StackAI #Subagents #EnterpriseAI

Proud to be named in The Agentic List 2026, which recognizes the top agentic AI companies most admired by enterprise leaders. StackAI makes it easy for teams to turn processes into AI agents in minutes. With a no-code workflow builder, a robust governance and ADLC suite, and white-glove support from experts, we're proud to be the the trusted AI transformation platform for enterprises around the world.  #TheAgenticList2026 #StackAI

You've heard of SDLC. Now, meet ADLC: the framework for scaling AI across the whole enterprise.  As organizations deploy more AI agents, they're hitting the same challenges software teams solved decades ago: How do you prevent unauthorized changes? Track what changed when? Test before production? The Agentic Development Life Cycle (ADLC) brings proven software development discipline to AI agents through three layers: 🔹 Environments – Safe separation of dev, staging, and production 🔹 Version Control – Automatic versioning, diffs, and rollback 🔹 Approval Workflows – Pull requests with admin review Without ADLC, untested changes reach production without audit trails. With ADLC, clear governance and deployment visibility give enterprises the confidence to scale from pilots to production systems.  Read the full whitepaper here: stack-ai.com/whitepaper/adlc

Manufacturing companies need to answer one question in 2026: how do you move from pilots and proofs-of-concept to AI agents that run in production and deliver measurable business impact?  On March 4th, we're hosting a webinar with Fabien Cros (former Data & AI Country Lead for Manufacturing at Google Cloud, now CDAIO at Ducker Carlisle) to talk about what it actually takes to cross that gap.

Introducing Agent Grid 🛍️  All of your agents in one place: organized, standardized, and accessible. Agent Grid makes it easy to scale AI agents across the entire enterprise. Now on StackAI ⚡️

When Fabien Cros joined Ducker Carlisle from Google, he expected to find teams already building sophisticated AI workflows with frameworks like LangChain and AutoGen. Instead, he discovered something far more common: organizations overwhelmed by AI possibilities, unsure where to start, and relying on small technical teams that had become impossible bottlenecks. But with StackAI, Ducker Carlisle has empowered 100+ business users to build AI agents themselves, supported by a small team of experts providing strategic guidance, achieving what centralized development never could: rapid innovation, $1 million in projected annual savings, and a sustainable model for ongoing AI adoption.

We're excited to share more about our partnership with @cerebras, bringing faster inference options to StackAI customers. With Cerebras available on the platform, workflows that need real-time performance get noticeably faster responses—especially helpful for multi-step agent workflows that make dozens of LLM calls. For teams running AI agents at scale, this means more responsive experiences and higher throughput when speed matters. #StackAI #Cerebras #AIagents #Orchestration

Managing AI workflows can feel like extra work. Today, we're solving that. StackAI is now available everywhere you operate, via MCP:  ✅ Ask about your workflows: "What vendor onboarding flows do I have?" ✅ Build new automations: "Build a workflow that extracts invoice data and updates our finance dashboard" ✅ Execute instantly: "Run the StackAI workflow to create the Q1 compliance report" All inside your existing AI chat interface. No tab switching, no friction. Just seamless AI orchestration for the modern enterprise. More on MCP coming tomorrow 👀  #StackAI #AgenticAI #MCP #AIorchestration

When an AI agent answers a question, it needs to: - Search thousands of internal documents securely - Only retrieve content the user is authorized to see - Ground every response in authoritative sources - Cite which documents it used - Integrate with existing systems like Salesforce and SharePoint - Create an audit trail for compliance StackAI + @weaviate_io provide this infrastructure layer, so you can focus on building agents that solve real business problems instead of rebuilding database permissions and security from scratch. Read our full e-book today.  #StackAI #AgenticRAG #Weaviate

Today we're announcing our partnership ecosystem: consultancies, solution providers, and systems integrators who are building their businesses on StackAI.  StackAI partners bring deep expertise on complex workflows, organizational change, and AI readiness across finance, healthcare, government, and industrial sectors We're excited to continue helping organizations move from AI concepts to production systems, together.  #StackAI #EnterpriseAI #AIagents #AgenticAI2026

StackAI just released a new wave of agentic capabilities – here’s our first product update of 2026 👇 ✅ Human-in-the-Loop → let agents pause mid-workflow for human approval or review ✅ OpenAI Web Search Built-In → agents can search the web natively for up-to-date answers ✅ Expression Engine v2 → smarter data transformations with AI suggestions and side-panel variables ✅ Custom Roles & Permissions → enterprise-ready RBAC to control exactly who can perform specific actions ✅ SDLC Environments → deploy workflows safely across development, staging, and production ✅ Node Run Results → see exactly what each node returned during execution January changelog also introduces new actions across tools like DocuSign, Missive, OneNote, Google Sheets, Slack, Gmail, AWS RDS, and Strapi – plus quality of life upgrades including smarter autosave, drag-to-connect, and SharePoint enhancements. 🔗 Full product update and demo link in comments. #ProductUpdate #January2026 #StackAI #HumanInTheLoop #AIAgents

Anthropic's Opus 4.6 is now available on StackAI. Opus 4.6 excels at the tasks that drive business value: financial analysis, document processing, spreadsheet automation, and presentation creation. Independent evaluations show 144 Elo point advantage over competing models on economically valuable work. For enterprise teams building AI agents, this represents meaningful capability gains in areas that directly impact productivity. Try it out on StackAI and let us know what you think!

Today, we're introducing Human-in-the-Loop (HITL) inside StackAI Agents. AI helps you move fast. But in regulated environments, speed without oversight creates risk. With HITL, agents pause mid-workflow, request approval from the right person, and continue only after sign-off — in Slack, email, or wherever your team already works. This unlocks automation for workflows that were previously too risky to run end-to-end: Compliance. Finance. HR. Ops. IT. Marketing. No manual handoffs. No context switching. No risky assumptions. 🚀 HITL is now available for all StackAI users — automate the repetitive work, preserve human judgment where it matters the most. #StackAI #HumanInTheLoop #WorkflowAutomation #EnterpriseAI

We're excited to share our partnership with Cerebras, which will bring real-time inference to your enterprise AI agents. With Cerebras Inference available on StackAI, agentic workflows feel more responsive: faster answers, smoother multi-step workflows, and higher throughput at scale. #StackAI #Cerebras #AgenticAI #EnterpriseAI

Thank you to our friends and collaborators at TRY for a successful exclusive workshop last week.  We spent two full days working hands-on with their teams and customers to build AI agents from the ground up. Participants learned to give AI models custom tools, integrate their existing systems, and build functional agents in StackAI.  When teams build their own agents and solve their own problems, the technology becomes tangible and actionable. We're grateful to TRY for hosting these sessions and for their commitment to hands-on innovation. #AI #StackAI #AIAgents #Enterprise #Innovation

We're excited to introduce One-click RAG on @stackai.  Enterprise data is messy. PDFs. Spreadsheets. Email threads. Siloed across SharePoint, Confluence, Notion, Gmail… With StackAI, teams across finance, compliance, operations, and IT turn data chaos into 𝗶𝗻𝗳𝗶𝗻𝗶𝘁𝗲 𝗶𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗶𝗼𝗻𝗮𝗹 𝗺𝗲𝗺𝗼𝗿𝘆. Connect 100+ enterprise tools → get real-time, citation-backed answers, with governance built in. No custom pipelines. No re-indexing. One click. Your data is connected and fully in sync. #StackAI #EnterpriseAI #RAG

Most enterprise AI agents fail in production because they skip the fundamentals—it's simply not enough to have a powerful LLM. You also need: ➡️ Security built into the architecture ➡️ High-quality retrieval from governed sources ➡️ Strict, predictable instruction design ➡️ Guardrails that enforce accuracy We've partnered with @weaviate_io make this possible without code. See how the 4 layers work together in our new e-book.

Basic OCR is not enough for agentic AI in 2026. In our upcoming webinar, StackAI's @BernAceituno (Co-Founder, President) and Reducto's @aditabrm (CEO, Co-Founder) will discuss why now is the moment for enterprises to build production-grade AI agents that combine advanced document intelligence with secure orchestration. CIOs, CTOs, enterprise architects, and IT leaders evaluating real deployment paths, join us on February 11 from 2-3pm EST.  #Reducto #StackAI #EnterpriseAI2026 #AgenticAI

79% of enterprises expect full-scale adoption of agentic AI in the next three years.  But LLMs alone can't safely access your internal knowledge bases, policies, or regulatory docs. That's where Retrieval-Augmented Generation (RAG) becomes critical. Our latest e-book, co-created with @weaviate_io, breaks down:  ✅ How RAG works within AI agents ✅ Best practices for building RAG architectures  ✅ Real use cases of knowledge retrieval agents Thinking of deploying enterprise AI this year? This one's for you. #StackAI #Weaviate #EnterpriseAI #RAG

Compliance runs on StackAI.  One of Diné Development Corporation's earliest workflows in StackAI was a IATT, IATT-C, and ATO documentation generator. Previously, teams spent weeks chasing down evidence, copy-pasting control language, and cross-referencing spreadsheets, Word docs, and PDFs across silos. Now, compliance packages can be assembled in a single afternoon.  StackAI is proud to support cybersecurity, compliance, and modernization initiatives inside complex federal environments.  #StackAI #EnterpriseAI #AIforDefense #AgenticAI

After evaluating platforms like n8n, Dify, and Flowise, TRY, a premier Norwegian agency, selected StackAI to build agent flows that subject matter experts can own directly without relying on a centralized IT/AI team. Key reasons they chose StackAI: • Support for multiple user interfaces • Parallel agent flows • Flexible integrations • Designed for domain experts, not only ML engineers We're so proud to partner with TRY's innovative and inspiring team. #StackAI #AgenticAI2026 #EnterpriseAI

As organizations adopt AI to support customer service, internal operations, and document processing, latency becomes a serious constraint.  StackAI pairs secure agent orchestration with Groq to deliver fast, predictable inference for customer-facing and compliance-critical workflows.  Read an overview of the StackAI x Groq partnership and why it matters for enterprise agent deployments here: groq.com/customer-stories/st… #StackAI #Groq #AgenticAI #Latency

We're excited to share that Diné Development Corporation (DDC), a Navajo Nation-owned federal technology solutions provider, chose StackAI to develop their AI-first operating model.  DDC now uses StackAI internally to streamline compliance workflows, research, and proposal development, while helping federal and defense customers adopt agentic AI in complex, regulated environments. We’re proud to partner with DDC to accelerate modernization and mission support across our nation’s most important federal agencies.  #StackAI #EnterpriseAI #AIforDefense

StackAI is proud to power the future of 24/7 participant support at the YMCA Retirement Fund. With StackAI, the Y Retirement team was empowered to:  • Move AI agents into production within weeks  • Consolidate decades of policies, research, and regulatory documents into a single AI-searchable system  • Deliver instant, citation-backed answers for staff and leadership  • Lay the groundwork for personalized, compliant participant interactions, without replacing human oversight As SVP of Operations Marcela Deitrich noted, the partnership continues to shape how Y Retirement thinks about future service delivery and operational efficiency.

In 2026, enterprises are moving beyond chatbots and demos toward multi-step, agentic workflows that touch real data, real systems, and real decisions. That shift requires requires structure, governance, and execution discipline. We just put together the roadmap for enterprise AI success in 2026, an eight-part framework for moving AI from pilot to production covering: ➡️ How to prioritize AI use cases that actually scale ➡️ Why workflow-first design matters more than model choice ➡️ What governance, evaluation, and deployment look like in production ➡️ How leading teams move from one agent to many #StackAI #EnterpriseAI #AgenticAI2026

The YMCA Retirement Fund has set a new standard for participant service with AI agents built for real enterprise environments. Working with StackAI, Y Retirement deployed an AI-powered virtual assistant that thousands of routine inquiries around the clock and an AI-searchable knowledge repository spanning decades of policy and research. StackAI is honored to empower Y Retirement's internal teams to create real workflows on a SOC 2 Type II–compliant platform. As CIO Gerard Rescigno put it, this wasn’t just about chatbots, but about building enterprise solutions that actually work in production.

Today, we’re introducing StackAI Auto Agents. Auto Agents let teams automatically design, refine, test, and deploy AI agents using natural language, without sacrificing enterprise security or control. Below, watch our co-founder Bernard walk through building a real, multi-step agent end to end: defining the task, refining prompts, testing results, and deploying an agent that actually works. Whether you’re automating equity research, contract reviews, RFPs, or compliance workflows, Auto Agents make it easier to move from idea to production, fast.  #StackAI #AgenticAI #AutoAgents

In 2025, enterprises around the world used StackAI to move AI from experimentation to production: ➡️ 18921 AI agents created ➡️ 112831 builders ➡️ 1932985 workflow runs ➡️ 120B+ tokens processed In 2026, our focus remains the same: empowering enterprise teams with the platform to build secure AI agents.  We're proud to deliver agentic AI at scale for the StackAI community. The best is yet to come 🚀 #StackAI #EnterpriseAI #AgenticAI2026

We’re proud to partner with @GroqInc to power enterprise AI agents with low-latency inference for performance-critical workloads. Teams on StackAI deploy Groq for latency-sensitive workflows: high-volume document analysis, customer-facing interactions, and internal knowledge retrieval. In each of these situations, fast, reliable responses materially improve user experience and productivity. StackAI and Groq are a prime example of how matching the right inference provider to the right workload helps enterprises build AI agents that perform in real production environments.

It was a pleasure to participate in the HealthTech AI Summit recently. We see growing alignment across the healthcare industry on the importance of deploying AI solutions that improve efficiency, support care delivery, and meet the demands of regulated enterprise environments.  Thank you to the organizers and attendees for the thoughtful discussions. #StackAI #EnterpriseAI #HealthTech #AIforHealthcare

StackAI is proud to be part of @Box's AI Partner Ecosystem.  Together, we’re enabling enterprises to deploy AI agents that securely connect to Box, so teams can search, parse, manage, and automate workflows across their up-to-date content.  From document retrieval and metadata management to permissions, sharing, and file operations, StackAI helps turn Box content into an AI-powered layer for enterprise workflows.

How will you deploy AI in 2026? We just built a free AI Strategy Planner Agent to help enterprises bridge the gap between pilot and production.  Drop in your company name and email to receive a personalized strategy report covering where AI can drive value, what to build first, and how to deploy it responsibly within your enterprise.

Compliance is due for AI transformation in 2026.  Volumes of evidence, ever-changing regulations, and document-heavy processes are perfect for agentic workflows.  In our latest whitepaper, we break down 10+ AI agents already running inside compliance teams, including: – KYC & identity reviews – Control validation and improvement – Audit-ready evidence packaging – Call and content compliance checks Get the full report here: stack-ai.com/whitepaper/top-…

Proud to partner with @Smartsheet to bring AI agents for intelligent work management to enterprises worldwide.  StackAI workflows can now search across workspaces, retrieve information in real time, and automatically log results into Smartsheet. Streamline and automate budgeting and forecasting, supplier analysis and contract compliance, customer service and support, user provisioning and system access, and so much more.

In 2026, will you still be doing work in the most manual way possible? Research suggests that employees spend up to 100 hours a month on work that shouldn’t require humans. Good news: the agentic era is already here. Enterprise teams are automating repetitive, tedious workflows with AI agents that connect securely to tools and data. Fully governed, compliant AI orchestration, with built-in analytics and security—that's StackAI.

This week in Orlando, we're hosting a small dinner with technology leaders focused on one question: where is AI actually working in enterprise settings? Over dinner, we’ll discuss how AI agents are delivering measurable ROI, which teams are automating core back-office workflows, and what it takes to prioritize the right use cases without creating governance risk. The evening includes a short presentation on enterprise AI strategy, followed by candid conversation with peers operating at scale.

Last week, the StackAI team spent time with Diné Development Corporation, diving into how government contractors are moving from AI experimentation to real operational capability. The conversations centered on what it actually takes to deploy secure, mission-ready AI agents, from governance and evaluation to getting the fastest time-to-value in complex federal environments. We're excited to see strong alignment with our partners to build intelligent infrastructure that reduces risk while enabling defense and government contractors to design, deploy, and scale agentic systems with confidence.

we are now @stackai

.@BernAceituno appeared recently on the AI Frame Podcast to discuss: ➡️why AI was “trapped behind a Jupyter notebook” ➡️what actually defines success in generative AI and agentic workflows ➡️ why one AI model will never solve every problem ➡️how enterprises should break down processes before applying AI ➡️ what’s next for agentic workflows, from memory to browser-level interaction, and more! Check out the full episode here: piped.video/watch?si=I-TQ81Z…

GPT-5.2 is now available on StackAI... According to @OpenAI, "it outperforms industry professionals at well-specified knowledge work tasks spanning 44 occupations." Try it out in your AI agents and us know what you think 👀 #StackAI #OpenAI #EnterpriseAI #AIagents #AgenticAI

Enterprises in Charlotte are asking the same question: How do we deploy AI agents consistently across teams, workflows, and systems in 2026? Join a small group of tech leaders for a dinner dedicated to operationalizing AI, not just experimenting with it. We’ll discuss:  • How AI agents streamline high-volume back-office work  • The frameworks smart teams use to value and prioritize AI use cases  • New risks and opportunities emerging for 2026 After the short presentation, we’ll continue the conversation over dinner with leaders from across industries. Link to register: f.mtr.cool/povhqpsdui #StackAI #AIagents #EnterpriseAI #Charlotte

Defense contractors have always dealt with manual, labor-intensive workflows across acquisition, compliance, and program delivery. But AI agents are changing that.  We just released a new white paper outlining 10+ AI agent use cases that help teams: • Analyze complex RFPs and requirements • Generate and verify compliance documentation • Validate designs and technical packages • Reduce risk while accelerating delivery across programs If you’re exploring practical applications of agentic AI for defense and government contractors, this guide is a strong place to start. Download here: stack-ai.com/whitepaper/top-…

Chicago, we’re gathering technology leaders for a dinner on the next era of enterprise modernization. AI agents are reshaping how organizations operate across finance, insurance, healthcare, manufacturing, real estate, and construction. We're having the conversation about what’s working, what’s not, and how leaders are approaching AI heading into 2026, including:   • Where AI agents drive real operational lift  • How to evaluate and prioritize use cases  • Frameworks for measuring value and risk  • How enterprises are automating large portions of back-office work responsibly

On Dec. 11, we're hosting a small dinner in Miami for CIOs, CTOs, and other tech leaders who are actively planning their AI strategy for 2026. We’ll walk through how enterprises are deploying AI agents in real workflows and what high-performing teams are learning as they scale:  • Where AI agents are delivering the best ROI today  • How teams are automating large portions of back-office work responsibly  • The guardrails leaders put in place before deploying at scale  • What’s coming next in enterprise AI, and how to prepare Limited seats; request an invitation today: luma.com/xt4zd0nc #StackAI #EnterpriseAI #AIagents #Miami

We were thrilled to present at the Goodwill AI Networking Summit this week. Our session covered:  • An overview of agentic AI and how AI agents are reshaping operational workflows  • Real use cases tailored for workforce development and nonprofit operations  • Best practices for deploying enterprise AI safely, efficiently, and at scale Thank you to Goodwill for the thoughtful discussions and for the work you’re doing to advance innovation across the sector. We’re proud to support the community as they build practical, high-impact AI systems for the real world.  #StackAI #Goodwill #AISummit #EnterpriseAI