llms.txt
# Mindra
> Mindra builds budget-aware AI agents for B2C advertisers: the agent team that runs a D2C, app or e-commerce brand's ad budget. It connects every ad platform the brand buys media on, scores each channel on real revenue instead of platform-reported numbers, and moves the money to what earns. Nothing changes until the team approves.
Mindra is built for growth teams that own a revenue number across four or more ad platforms, typically spending $50k to $1M a month on ads, and for the performance agencies that run paid media for them. It connects Google Ads, Meta Ads, TikTok Ads, Snapchat, Pinterest, Reddit, Amazon Ads, Apple Search Ads, Microsoft Ads and X, plus GA4, AppsFlyer and other attribution tools, Shopify and Stripe.
The problem it solves: general-purpose AI models are built by companies that sell ads, are trained on the same public playbooks, and never see what actually landed in a brand's store or billing. Platform AI such as Advantage+ and Performance Max optimises only inside its own platform. Attribution tools show where revenue came from but don't move the money, and spreadsheets and agencies rebalance by hand, usually once a week. Mindra joins spend to revenue data every day and moves the budget across platforms.
How it works: connect the stack; Mindra scores every channel on real revenue; one agent per channel makes its case and an orchestrator holding the total budget decides the moves; the day's plan of budget moves, pauses and creative or audience tests arrives in Slack or the app for approval. The total budget stays where the team sets it. Mindra watches every account around the clock, so a 3am spend spike or a fatigued creative arrives with a proposed fix attached. Agents, context and approvals live with the company, so one person sets it up and the whole team inherits it.
Pricing: one price, 5% of the monthly ad spend Mindra manages. Everything is included, with no tiers or seats. Mindra is paid on the spend it manages, not the spend it adds, and it doesn't sell ads, so it has no reason to recommend spending more or favouring any platform. Get started at console.mindra.co or book a demo.
The sections below are Mindra's article library, grouped by topic so you can cite the most relevant piece.
Company: founded 2025 in Istanbul, Turkey by Zeynep Yorulmaz (CEO), Deniz Soylular (CPO), and İlker Yörü (CTO). Backed by TQ Ventures; member of the NVIDIA Inception program. #1 Product of the Day on Product Hunt. SOC 2 Type II and GDPR compliant; Zero Data Retention available. Contact: info@mindra.co.
## Docs
- [Home](https://mindra.co/): What Mindra is, how the agent team moves an ad budget, results, FAQ
- [Pricing](https://mindra.co/pricing): 5% of the ad spend Mindra manages, with a fee and revenue estimate
- [Why Mindra](https://mindra.co/why-mindra): Why teams choose Mindra
- [Integrations](https://mindra.co/integrations): Ad platforms, attribution, analytics, store and revenue connectors
- [Security](https://mindra.co/security): ZDR, encryption, RBAC and SSO, audit logs, human-in-the-loop, SOC 2 and GDPR
- [Enterprise](https://mindra.co/enterprise): Governance, security, and scale
- [Book a Demo](https://mindra.co/book-a-demo): Schedule a 30-minute demo with the team
## Start here: core concepts
What an AI department is, and why a coordinated team of agents beats a single AI coworker.
- [What Is Agentic AI? And Why It Works Better as a Team](https://mindra.co/blog/what-is-agentic-ai-team): Agentic AI is AI that can take actions and pursue a goal across many steps and tools, not just answer questions. Here is what that means in plain language, with examples, and why real agentic work is best done by a coordinated team, not a lone agent.
- [AI Agent Team vs Chatbot: Know the Difference](https://mindra.co/blog/ai-agent-team-vs-chatbot): A chatbot answers questions in a chat. An AI agent team takes action across your tools and completes whole workflows. Here is the plain-language difference, the three levels in between, and how to tell which one your work actually needs.
- [Multi-Agent Orchestration, Explained Simply: Why a Team of AI Beats One Big Request](https://mindra.co/blog/multi-agent-orchestration-explained): Most real work has many steps, tools, and skills. Multi-agent orchestration is just having a coordinated team of AI handle it instead of one. Here it is explained in plain language for business teams.
- [What Is an AI Department? The New Category Above Your Automation Tools](https://mindra.co/blog/what-is-an-ai-department): Automation tools move data. Code frameworks let engineers build agents. An AI department is the new category in between, and above, both: a governed team of AI coworkers for business teams.
- [AI Coworker vs AI Department: Why One Agent Isn't Enough](https://mindra.co/blog/ai-coworker-vs-ai-department): An AI coworker is one helper you assign tasks to. An AI department is a coordinated team you hire with a single prompt to run a whole workflow. Here is the difference, and when one agent stops being enough.
- [Hire the Whole AI Department With One Prompt: How It Works](https://mindra.co/blog/hire-ai-department-one-prompt): You should not have to wire up agents one by one. Describe the goal in plain language and a coordinated AI team forms around it. Here is exactly how hiring an AI department with one prompt works.
- [AI Agent vs AI Agent Team: What You're Actually Buying](https://mindra.co/blog/ai-agent-vs-agent-team): Shopping for "an AI agent"? You are really choosing between a single helper and a coordinated team. Here is what each one actually gets you, and why the difference shows up the moment work gets real.
- [What AI Agents Can't Do Yet: An Honest Take](https://mindra.co/blog/what-ai-agents-cant-do): AI agents are powerful, but they have real limits: they can be confidently wrong, they lack true accountability, and they struggle with ambiguity. Here is an honest list, and how a governed AI department manages those limits instead of pretending they don't exist.
- [Why DIY Agent Stacks Break in Production (and What an Ops Layer Fixes)](https://mindra.co/blog/why-diy-agent-stacks-break-in-production): DIY agent stacks demo well and break in production. Here are the five failure modes teams hit, the pattern behind them, and how an ops layer fixes it without a rewrite.
- [What an AI Ops Control Plane Is (and Why Production AI Needs One)](https://mindra.co/blog/ai-ops-control-plane): An AI ops control plane is the layer that governs, observes, and coordinates agents in production. Here is what it does, how it differs from an execution engine, and what to look for.
## Comparisons and alternatives
How Mindra and the AI-department model compare to single assistants, automation tools, and frameworks.
- [AI Agent Teams for Business: A Practical Buyer's Guide](https://mindra.co/blog/ai-agent-teams-for-business-buyers-guide): A plain-language guide for business leaders buying AI to run real work. Learn the four categories — chatbot, single agent, automation tool, and AI department — the questions to ask, the must-haves, and how to think about price, ROI, and rollout so you buy the right thing for the job.
- [Automation vs AI: One Follows Rules, the Other Figures Things Out](https://mindra.co/blog/automation-vs-ai-department): Traditional automation follows fixed rules you write in advance. An AI department reasons through variable, multi-step work to figure things out. Here is the honest difference, what each is best at, and how to know which one you need.
- [RPA vs AI Agent Teams: Where Bots End and Teams Begin](https://mindra.co/blog/rpa-vs-ai-agent-teams): RPA bots follow exact steps and break when anything changes. AI agent teams reason, adapt, and work across tools. Here is when to use each, and how teams are migrating from brittle bots to an adaptive AI department.
- [AI Department vs Virtual Assistant: When to Hire Which](https://mindra.co/blog/ai-department-vs-virtual-assistant): A virtual assistant is a human who does tasks for you. An AI department is a coordinated team of AI agents you hire with one prompt. Here is an honest comparison of cost, speed, scale, and judgment, and how to know which to hire, or whether you need both.
- [The Best AI Agent Orchestration Tools in 2026 (Honest Comparison)](https://mindra.co/blog/best-ai-agent-orchestration-tools): Zapier, Make, n8n, LangGraph, CrewAI, and Mindra all get called "AI orchestration," but they solve different problems. Here is an honest, plain-language guide to which one fits your team.
- [Zapier vs. Make vs. LangGraph vs. an AI Department: Which One Fits Your Team?](https://mindra.co/blog/zapier-vs-make-vs-langgraph-vs-ai-department): Comparing Zapier, Make, LangGraph, and the new "AI department" category? They solve different problems for different people. Here is a plain-language decision guide to pick the right one.
- [Mindra vs Microsoft Copilot: Which One Does the Work?](https://mindra.co/blog/mindra-vs-microsoft-copilot): Microsoft Copilot helps one person work faster inside Microsoft 365. Mindra is a coordinated AI department that runs cross-tool workflows end to end. Here is the honest difference, and why many teams use both.
- [Mindra vs ChatGPT: From Chat to a Working Team](https://mindra.co/blog/mindra-vs-chatgpt): ChatGPT is the best general-purpose chat assistant for thinking, drafting, and one-off help. Mindra is an AI department that does the work across your tools, with governance, reachable from email, Slack, and the web. Here is the honest difference, and how they work together.
- [Mindra vs ChatGPT Agent: Honest Comparison for Operators](https://mindra.co/blog/mindra-vs-chatgpt-agent): ChatGPT Agent is one capable AI worker that browses, clicks, and finishes a multi-step task in a session. Mindra is a governed AI department that runs the whole workflow across your tools. Here is what each is genuinely best at, and when to use which.
- [Mindra vs Lindy: AI Agent Platform Comparison](https://mindra.co/blog/mindra-vs-lindy): Lindy is a friendly no-code way to build individual AI assistants for specific tasks. Mindra is a coordinated AI department you hire with one prompt. Here is an honest comparison of where each one fits.
- [Mindra vs n8n: Open-Source Workflows vs an AI Department](https://mindra.co/blog/mindra-vs-n8n): n8n is a flexible, open-source, self-hostable automation tool you build and own. Mindra is a coordinated AI department you hire with one prompt. Here is an honest, plain-language comparison for non-technical operators.
- [Mindra vs Zapier Agents: Which AI Agent Should You Pick?](https://mindra.co/blog/mindra-vs-zapier-agents): Zapier Agents adds AI to the world's largest app-automation ecosystem. Mindra is a coordinated AI department you hire with one prompt. Here is an honest, plain-language comparison of which one fits your team.
- [Mindra vs. Make: Visual Scenarios or a Governed AI Department?](https://mindra.co/blog/mindra-vs-make): Make is a powerful visual automation tool for building rule-based scenarios. Mindra is an AI department you hire with one prompt. Here is the honest difference, where each wins, and why most teams run both.
- [ChatGPT Teams vs an AI Department: Honest Comparison](https://mindra.co/blog/chatgpt-teams-vs-ai-department): ChatGPT Teams gives your whole team a shared, secure AI assistant. An AI department is a coordinated team of AI coworkers that does the work. Here is the honest difference, what each is best at, and how they fit together.
- [7 Best AI Agents for Slack in 2026 (Compared)](https://mindra.co/blog/best-ai-agents-for-slack): Most "AI agents for Slack" are a single assistant living in one channel. Here is an honest, plain-language guide to the real options in 2026, grouped by type, and where a coordinated AI team that you also reach by email and web fits in.
- [The Best AI Agents You Can Run From Your Inbox (Email, 2026)](https://mindra.co/blog/best-ai-agents-for-email): Most AI assistants live in a chat window. The most useful ones meet you where you already work — your inbox. Here is an honest, plain-language guide to the kinds of AI you can run from email, what each is best for, and how to choose.
- [The Best Zapier Alternative in 2026 Isn't Another Workflow Builder](https://mindra.co/blog/best-zapier-alternative): Most "best Zapier alternative" lists just hand you another workflow builder. For many teams the real answer is a different category entirely: an AI department that does the work, not just moves data. Here is an honest, plain-language guide.
- [Mindra and Your Stack: How AI Orchestration Complements Zapier, Make, and Your CRM](https://mindra.co/blog/ai-orchestration-complements-zapier-make-crm): Is an AI orchestration layer just one more tool on the pile? No. Here is a clear stack map showing where your CRM, your automations, and an orchestration layer each win, and how they work together.
## An AI department by function
How an AI department runs the work for each team and role.
- [An AI Department for Sales: Fix the Three Biggest Time Drains](https://mindra.co/blog/ai-department-for-sales): Sales reps lose hours to CRM data entry, account research, and follow-ups. An AI department is a coordinated team of specialist agents that handles all three, hired with one prompt, governed, and reachable from your inbox or Slack.
- [An AI Department for Marketing: The Weekly Campaign Loop](https://mindra.co/blog/ai-department-for-marketing): A single AI writer drafts a post. An AI department for marketing briefs the campaign, drafts across channels, schedules it, and reports back the results — coordinated, governed, and reachable from email, Slack, and the web.
- [An AI Department for Customer Support: Context Over Headcount](https://mindra.co/blog/ai-department-for-customer-support): A support chatbot answers FAQs. An AI department for customer support triages every ticket, gathers context across your systems, drafts the reply in your voice, and escalates the edge cases — coordinated and governed. Here is how it fixes your three biggest time-drains.
- [An AI Department for Customer Success: Renewal Risk, QBR, Expansion](https://mindra.co/blog/ai-department-for-customer-success): Customer success teams lose hours to watching renewal risk, building QBR decks, and chasing expansion signals. An AI department handles all three as a coordinated, governed team — not a single assistant drafting one email.
- [An AI Department for Finance: Close the Month Without 3AM Reconciliation](https://mindra.co/blog/ai-department-for-finance): A single finance AI assistant answers a spreadsheet question. An AI department reconciles, reports, and chases payments — coordinated, with human approval on anything that moves money and a full audit trail. Here is how it works.
- [An AI Department for HR: 7 Workflows That Pay Back in Week One](https://mindra.co/blog/ai-department-for-hr): An AI department for HR is a coordinated team of specialist AI agents — an onboarding coordinator, a policy expert, and an admin assistant — you hire with one prompt to run onboarding, answer questions, and handle records, with approvals on anything touching employee data.
- [An AI Department for Recruiting: Cut Hours to Minutes](https://mindra.co/blog/ai-department-for-recruiting): Recruiting loses hours to resume screening, interview scheduling, and candidate follow-up. A single AI assistant helps with one of those. An AI department handles all three as a coordinated, governed team — while a human still makes every candidate decision.
- [An AI Department for Operations: Triage, Ownership, Status](https://mindra.co/blog/ai-department-for-operations): Operations runs on triage, status reports, and follow-up — and all three eat your week. Here is how an AI department (a team of specialist agents you hire with one prompt) takes them on, governed and reachable from email, Slack, and the web.
- [An AI Department for Startup Founders: Your First Ops Hire](https://mindra.co/blog/ai-department-for-founders): As a founder you wear every hat, and things fall through the cracks. An AI department is a coordinated team of AI agents — triage, reporting, follow-ups, research — you hire with one sentence. It is the first ops hire you can afford on day one.
- [An AI Department for Product Managers: PRD, Signal, Roadmap](https://mindra.co/blog/ai-department-for-product-managers): Product managers lose hours to synthesizing customer signal, drafting PRDs, and keeping stakeholders updated. An AI department is a coordinated team of specialist agents that handles all three, governed, and reachable from email, Slack, and the web.
- [An AI Department for Agencies: Manage 20 Client Accounts Without Dropping Context](https://mindra.co/blog/ai-department-for-agencies): Agencies don't lose deals to bad work — they lose them to dropped context, late reports, and follow-ups that slip. An AI department runs research, reporting, and comms across all your client accounts at once, governed, with an approval gate on anything client-facing.
- [An AI Department for Ecommerce: Reconcile Shopify, Amazon, and Margins](https://mindra.co/blog/ai-department-for-ecommerce): Running an online store means reconciling payouts across Shopify, Amazon, and Stripe, reporting on margins and inventory, and chasing returns and suppliers. A single AI assistant can answer questions about it. An AI department actually does it — across platforms, governed, reachable from email and Slack.
- [An AI Department for Content: Fix the Whole Workflow](https://mindra.co/blog/ai-department-for-content): Most "AI writers" draft one post. An AI department researches, drafts, edits, and repurposes the whole content pipeline — coordinated, governed, and reachable from email, Slack, and the web. Here is how a team of specialist agents fixes the three biggest time-drains in content.
- [An AI Department for Bookkeeping: Clear the Friday Queue](https://mindra.co/blog/ai-department-for-bookkeeping): Bookkeeping is rarely one task. It is categorizing, reconciling, and chasing receipts, week after week. An AI department handles all three as a coordinated, governed team, where a human approves anything financial and everything is logged.
- [An AI Department for Customer Research: From Feedback Chaos to Decisions](https://mindra.co/blog/ai-department-for-customer-research): Customer feedback is scattered across tickets, calls, reviews, and surveys, and turning it into decisions eats your week. An AI department collects it, synthesizes the themes, and produces a decision-ready summary, all governed and reachable from email, Slack, or the web.
- [An AI Department for Investor Updates and Board Reports](https://mindra.co/blog/ai-department-for-investor-updates): Investor updates eat a founder's weekend: gathering metrics from a dozen tools, writing the narrative, then formatting and sending on time. An AI department splits that work across specialist agents, with a human approving before anything reaches investors.
- [An AI Department for Solopreneurs: Run a Full Business Solo](https://mindra.co/blog/ai-department-for-solopreneurs): A single AI assistant helps with a task. An AI department is the whole team a one-person business never had — an inbox agent, a marketing agent, a follow-up agent, and a back-office agent, hired with one prompt and governed so nothing slips while you deliver.
- [How a RevOps Leader Can Stand Up an AI Department in 30 Days](https://mindra.co/blog/ai-department-revops-cx-30-days): You do not need a year or an engineering team to run AI in RevOps and CX. Here is a staged, 30-day plan to stand up a governed AI department around one workflow, then expand.
- [AI Agents for IT Operations and SRE: The Production Runbook](https://mindra.co/blog/ai-agents-for-it-operations-sre-incident-response-orchestration): AI agents can help IT and SRE teams triage alerts, gather context, draft updates, and run approved remediat
