Mindflow is the Agentic Hyperautomation platform helping enterprise teams automate complex technical and operational workflows.
Mindflow integrates with 4,000+ tools and services, enabling users to automate 150,000+ operations without any technical setup.
Teams can build completely autonomous custom AI··Agent that orchestrates multiple tools AND performs tasks over natural language by prompting their tech stack through AI··Rooms.
Native Integrations: Mindflow has 4,000+ integrations from 550+ software vendors. This makes Mindflow —by far— the most connected platform ever created. This enables users to integrate and automate their stack without any hassle, and native integrations mean they can automate the full functionality of products already in their stack.
Intuitive Automation: Mindflow's powerful automation engine doesn't require any coding or scripting. Every user —technical or not— can design and automate workflows on an intuitive visual canvas.
AI··Agent: Need an AI agent for a use case but can't find one that fits your workflows perfectly? With Mindflow, users can build custom AI··Agents and have multiple tools work simultaneously. Simply prompt the agent → pick the tools you want your agent to access → your work is done autonomously.
AI··Rooms: Mindflow's version of AI chat but designed to help you get work done over natural language. Just like AI··Agents, Rooms get access to Mindflow's integration capabilities and help users automate quick querying tasks, one-off requests like generating quick email reports using HubSpot or giving someone temporary access to a Google Drive file.
RBAC: Role-based access control allows teams to define granular access rights across their workflows and environments, ensuring they're always in control of who can access which tools, flows, and Agents. This feature is critical as Mindflow's primary audience is cybersecurity and IT teams.
Enterprise security and IT teams use a large array of tools to ensure that tens of thousands of employees and their data remain secure. This means they're always short on time.
On average, these advanced teams use over 473 apps and face 1,000+ daily security alerts. On top of that, none of the tools they use are designed to interconnect, leading to “clickops” — endless, repetitive manual actions that burn hours and increase the chances of costly human error.
Mindflow is solving this by becoming the AI-driven integration and automation layer for enterprise workflows. It gives teams the power to:
The real win? Teams go from "I wish I had time to fix this" to "It already handled itself."
For security, IT, and cloud teams who need to automate complex workflows, reduce alert fatigue, and improve operational efficiency, Mindflow is an Agentic AI automation platform that enables no-code integrations, faster incident response, and enhanced compliance management.
What's wrong with it?
Mindflow is an Agentic Hyperautomation platform that helps technical and business teams automate complex workflows through custom AI Agents and advanced automation to save time without using a single line of code.
SecOps
A fast-moving and experimental security team wanted to put its key workflow of investing every email that comes into the organization for potential security threats into checking the sender's credentials, attachments, links, and the content itself. It would take approx 4 minutes for a security analyst per email. The security team reduced this time to 5 seconds per email with Mindflow, and the bonus is it never stops. Automated.
ITOps
An enterprise IT team decided to automate a simple but highly repetitive and time-consuming workflow of assigning a Jira ticket to the right person. Before, the user would have to navigate manually across tabs, check the context of the ticket, and then assign the ticket. Guess what? Automated.
For Mindflow, increasing this frequency is core to driving both depth (power user workflows) and breadth (multi-team expansion) of engagement.
We define three behavioral profiles:
Mindflow's natural frequency varies by ICPs. A power user uses Mindflow daily and automates everything from complex workflows orchestrating 20+ tools to smaller one-off tasks using AI··Rooms.
Let's define the natural frequency for each of Mindflow's ICP. The ICP I'm using are the ones we created in the acquisition project and then refined in the onboarding project.
ICP | Natural Frequency | Reasoning | Key events performed | Frequency growth direction |
---|---|---|---|---|
ICP 1: Enterprise IT/Security Teams | Weekly → Multiple times a week | Operate in compliance-heavy environments with a structured approach. Use Mindflow to automate repetitive and complex processes. | flow runs, integration activated, webhooks received, API credentials created | Vertical: more time on Mindflow → more usage of Mindflow |
ICP 2: Mid-Market Security Teams | Daily | Mindflow is central to reducing the load on daily ops and alert handling. | flow runs, AI··Rooms session started, flow created | Horizontal: Few use cases per team but more number of teams |
ICP 3: Cloud-Native Scaleups | Daily → Multiple times a day | They build and experiment constantly. High integration complexity and fast iteration cycles drive frequent usage of AI features. | flow created, flow run, AI··Rooms session started, operation performed in an AI··Room session, AI··Agent task completed | Horizontal and Vertical: High knowledge sharing. New teams adopt Mindflow to replicate internal success |
ICP 4: Mature Digital-First Enterprises | Weekly → Daily (as usage scales across teams) | Begins with a single team or use case, but adoption spreads horizontally. Frequency grows with each new department onboarded. | flow run, integration activated, AI··Agent task completed | Horizontal: Few but complex use cases per team. Success of every team creates internal social proof → more teams start using Mindflow |
For Mindflow, an active user is someone who has experienced the core value proposition—automating workflows across tools.
A user can be considered active if they meet any of the following conditions within a rolling 7-day window, i.e., weekly frequency:
These events indicate the user is not just exploring but actively using Mindflow to reduce to automate workflows.
Example: A CloudOps engineer who integrates AWS and PagerDuty, builds a flow to auto-resolve alerts, or uses AI··Room to find out cloud costs for various AWS services. Screenshot below.
Please note that the ICPs are the same as the ones refined in the onboarding project. I'm adding scaleups to ICP 3 as they show a high penchant for experimentation.
Criteria | ICP 1: Enterprise security | ICP 2: Growth-stage tech | ICP 3: Intermediate org | ICP 4: Modern SaaS IT teams |
---|---|---|---|---|
Company size | 10,000+ employees | 500-3500 employees | 2000-5000 employees | 200-500 employees |
Company stage | Mature, global enterprise | Scaleup, Series C+ | Mid-stage org or BU in larger org | Startup or early growth |
Funding | Public company | $200 million+ | Public or part of a public parent company or $500 million+ | $50 million+ |
Org structure | Multi-level security team, DevSecOps team | Blended team consisting of IT, security, and developer staff | Primarily an IT team with security folks | IT team managing everything |
Decision makers | CISO, SOC Director, Security leader | VP Engineering, CIO, CTO, CISO | IT Director or Innovation leader | Head of IT or similar |
Decision blockers | Procurement, internal build teams | Prioritization, build vs buy bias | Internal IT constraints, unclear ROI, global HQ validation | Budget, low awareness |
Frequency of use case | Daily | Daily to weekly | Daily to weekly | Workflow-based |
Goals | Centralization, visibility, reduce redundancy | Streamline internal operations, reduce tool chaos | Reduce manual processes | Empower team to do more in less time |
Technical setup | Hybrid cloud, legacy-heavy | Cloud-native, microservices-based | Mix of cloud/on-prem, early infra evolution | Fully cloud-based |
Automation maturity | Mixed — some custom scripts, mostly manual | Early-stage but urgent demand | Growing need | Low-code tools or eager to use them |
Sales cycle | 9–15 months | 6–9 months | 6–9 months | 1–3 months |
Annual Budget | $500K+ | $100K–$250K | $250K–$500K | <$50K |
Motivation | Reduce alert fatigue, standardize processes | Empower fewer people to manage more systems | Cut repetitive effort, show impact | Self-serve capabilities |
Organization influence | High — global policies & audits | Medium-high, usually cross-team | Regional or BU-level autonomy | Low to moderate |
Preferred Outreach Channels | In person events (CISO forums), partner intros | VC intros, content demos, employee referrals | Internal referrals, leader influencer | Inbound, PLG |
Key AHA Moment | Replace brittle code with auditable flows | Slack-triggered workflows that update tools automatically | Cross-tool integration without engineering time | Natural language flows with API integrations |
Daily users who build, run, and evolve workflows at scale across multiple teams.
Users who actively engage with Mindflow several times a week and have unlocked the core value for one or more use cases.
Users with limited engagement who automate a few high-impact processes in a fixed, predefined setup.
I struggled to segment the users based on the features they use as there is —even if minimal— an overlap in the various user groups.
The feature-based segmentation for Mindflow —at least from my perspective— is instead based on how often and for what reason the users use those features.
Let's use the JTBDs determined during the onboarding project and use it to pin point the features that would best support the user in getting their JTDB achieved and determine how mature they are in their automation journey with Mindflow.
ICP | Goal priority + type | JTBD | Customer validation | Features used | Success metrics | User maturity |
---|---|---|---|---|---|---|
ICP 1 | Primary – Functional | Standardize and automate repetitive & complex SecOps workflows across a fragmented toolset | We spend hours managing and triaging security alerts between platforms. It’s manual and tedious. |
|
| Beginner |
ICP 2 & 4 | Primary – Functional | Enable smaller teams to automate workflows across use cases without engineering resources | We have ideas for automation but no time or skill to build them. |
|
| Intermediate |
ICP 3 | Primary – Functional | Give IT/security teams a way to automate key workflows like onboarding/offboarding at scale | We want one place to handle onboarding, offboarding, and access – not 15. |
|
| Advanced |
I will use the AHA moments I wrote about in the onboarding project as a basis for this. For context, the Aha! moments are below.
Additionally, we'll only be focussing on automation flows and not AI··Agents and AI··Rooms.
There were 2 core AHA moments in the user onboarding journey.
Encourage users to:
The metrics below are for representation only; the original data is hidden for privacy reasons.
Security and IT teams deal with high-alert volumes, disconnected tools, and repetitive workflows. Rebuilding automations from scratch or toggling tools is painful and leads to delays or errors.
A repeatable and rewarding hook loop in Mindflow that brings the user closer to experiencing the CVP could look like:
Video of use flow: https://youtu.be/6oBFzboJ6Kw
Whimsical for user flow
These metrics will be tracked using Mixpanel and collated with customer activity metrics in Intercom.
Here's a sample list of milestones we can define to start building user engagement campaigns.
Pitch/Content:
Sub: Welcome to Automation! —{{toolname}} has been activated 🔌
Now you’re plugged in 🔌
You’ve connected your first tool—you're one step closer to seamless automation.
Short on time? Import your first flow and get started in 5 minutes.
[Find your first flow] → CTA with a link to template library
Pitch/Content:
Sub: Your first flow just ran. Let's gooo! 🚀
Your first flow ran successfully — whether it updated a ticket, sent an alert, or remediation — you just took the first step to working smarter.
This is just the beginning. The more you automate, the more you can do with your time. ⏳
[Find your next flow] → CTA with a link to template library
Pitch/Content:
Sub: {{firstname}} you’ve unlocked automation superpowers 🚀
You’ve now connected 3 tools to Mindflow, which means you’re ready to build automations that span your entire stack. (and you're already in the Top 30% of Mindflow users 😉)
Whether it's syncing issues across GitHub and Jira or routing alerts from Slack to Notion — things are about to get fun.
Aditya's secret tip: Try a template to build your first multi-tool flow instantly.
→ Explore Templates →
Pitch
Sub: 🎉 10 flows automated – your team’s on fire!
You Made It Happen 🚀
10+ flows run by your team — now that’s momentum.
Automation isn't a solo game. Your team has already built and run 10+ flows — reducing manual effort, saving time, and creating compounding value.
This is just the beginning. What will you automate next?
→ 🔧 Build Your Next Flow →
Pitch
Sub: Look what you’ve automated this year 🎉
Your Automation Impact, Unwrapped.
You’ve been busy. Mindflow made it magical.
Here’s what you and your team achieved this year:
🧠 24 Tools automated
⚙️ 506 Flows executed
⏳ 138 Days of time saved
That’s 1104 hours saved from manual grunt work — now reallocated to what truly matters.
Thank you for building with us. The next year? Even more powerful. Let’s scale automation across every team.
→ Book a session →
Here's a sample retention data for Mindflow. The relatively minimal change from D15 to D30 is driven the late adoption of key features by enterprise customers who usually have longer onboarding cycle (up to 45 days) compared to (7 days) for users in other ICPs.
Timeline | % user retained | Reasoning |
---|---|---|
Day 0 | 100% | All users who sign up or are added to an account |
Day 7 | 58% | Drop-off due to early friction: unclear CVP, setup effort, or low onboarding momentum |
Day 15 | 41% | Users who haven’t run a flow or activated 3+ integrations tend to go inactive |
Day 30 | 32% | Strong signal for users who cross AHA moments (Flow Run + 3 integrations) |
Day 60 | 21% | Users with scheduled flows or weekly usage tend to stick |
Day 90 | 17% | Core & Power Users remain; Casual Users churn without regular touchpoints |
Based on an analysis of user insights collected during the acquisition and onboarding phases, here's a breakdown of the potential reasons why Mindflow's users might churn.
Please note, to date, Mindflow hasn't faced the churn problem as the longer contract duration means that users have ample time and early hand-holding to ensure they get maximum value out of the product. As users spend more time on the product, they're able to do more.
Users never reach CVP fast enough — due to setup friction, unclear next steps, and complexity in configuring useful workflows.
Again, I'm hypothesizing the potential reasons for churn that might happen in the future as Mindlfow's user base grows.
Factor | Reasoning | Type of churn |
---|---|---|
Delayed time to value | Users often fail to experience a “win” within the first 7 days. They feel stuck even before their first successful flow run. | Voluntary |
High setup overhead | Mindflow is enterprise-only and requires a custom onboarding setup, which slows momentum — 2 setup calls + custom configuration in every environment. | Voluntary |
Cognitive overload | Users are unsure what to do next — especially after the first login. → Need better docs and guides | Voluntary |
Lack of a clear journey to Aha! moments | Integrations and templates are AHA moments. Users don’t always discover or understand them early enough. | Voluntary |
Missing internal approval | Some users drop off because they need internal approval to use integrations. | Involuntary |
Integration issue (vendor-level) | API issues at any step (e.g., Notion API is not working) cause users to give up. | Involuntary |
Mindflow’s most common drop-off point is during the onboarding-to-CVP discovery gap — when a user has signed in and explored but hasn’t completed meaningful actions (like running a flow or activating >1 integration).
This red zone is risky for:
These are the "drop off points" we look for at Mindflow. This is not an exhaustive list. We use these to create in-product and personal touchpoint engagements to present Mindflow's CVP better to the user.
There could be more red signals we keep an eye out for, such as frequent support tickets about the same issue, negative feedback during onboarding, or routine customer success calls, etc.
Sub: Your flow is still waiting…
Almost There — Let’s Finish What You Started
Hey {{firstname}},
You were just a step away from your first automation. Your unfinished flow is still here, waiting to come alive.
🚀 Build it once. Let it run forever.
Need help? We’ll review your setup 1:1 and get you live in minutes.
👉 [Resume My Flow]
Hey {{firsttname}}
You’ve already connected Jira and CrowdStrike. That’s huge!
Now let’s put them to work.
✨ Build your first automation and let your tools talk to each other — like they were meant to.
Not sure where to start? Our pre-built templates make it effortless.
You’ll be live in under 5 minutes.
👉 [Launch My First Flow]
—
Mindflow Team
P.S. Your setup is ready. Your tools are waiting. Go for it.
Sub: Your flow is ready. Just hit play.
You built it. Now let’s launch it.
Hey {{firstname}},
You’ve already built your first automation flow — that’s the hard part!
Now it’s just one click away from going live.
🚀 Run your flow, see it in action, and start saving hours every week.
Need a final check or want help testing? We’ve got your back → [Book a quick call]
👉 [Run My Flow]
Sub: Double the power. Just connect one more tool.
One integration is good. Two is where the magic begins.
Hey {[firstname}},
You’ve taken the first step by connecting Jira.
Now, connect one more tool and unlock real automation.
💡 Most of our users start seeing value after 2–3 integrations — it’s when flows get powerful, cross-tool, and time-saving.
Need ideas? Here are a few combos that work great together:
👉 [Explore Integrations]
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