The modern workday is defined by motion without momentum. Teams move across Slack, Confluence, JIRA, Salesforce, Notion, Drive, and Gmail—chasing context, piecing together updates, and stitching progress manually from fragmented information. The cost is not just measured in hours lost; it is a deeper erosion of focus, creativity, and forward momentum.
Ayraa envisions a better foundation for modern work: a system that continuously defragments & organizes your workspace for you through pre-defined workflows.
We're excited to introduce Deep Research Workflows, autonomous, intelligent workflows that continuously transform scattered knowledge - from chats, emails, tickets, and documents - into structured synopses custom-prepared for you and delivered precisely where and when you need them.
Workflows That Think Forward
A Deep Research Workflow is a persistent, self-operating system built to mirror how employees compile information from scattered sources but now powered by a reasoning AI model that can search, collate, and synthesize knowledge on your behalf. You describe the outcome you need—whether a weekly team recap, a sales pipeline report, or a stakeholder newsletter based on workspace activity—and Ayraa orchestrates the steps to deliver it autonomously.
The process is simple: you define the goal once in natural language. Ayraa unpacks it into logical actions and reasons across your workspace in real-time and carries the work forward on a schedule you control. There are no fragile automations to maintain, no brittle triggers to fix. The system runs reliably across Slack, JIRA, Confluence, Salesforce, Notion, Drive, and Gmail, adapting to changes and surfacing the most critical insights automatically.
It's research that doesn't just happen once — it happens reliably, rhythmically, and intelligently.
How It Works Behind the Scenes
Designing an Ayraa workflow is as simple as writing out what you want. There's no need to draw flowcharts or write any code. You speak your workflow into existence by giving the AI a detailed description of the task, just like you would explain it to a colleague. Because the system uses advanced reasoning models that understand complex instructions, you can be very specific and nuanced in your request. Ayraa will understand your intent and figure out how to execute it step by step.
Objective
You are an excellent AI assistant adept at following Slack threads and understanding if someone is waiting on a person for a response.
Please search Slack with the approach detailed below and capture summaries of all places where people are waiting on me. Please also share the excerpt of what exactly was asked, and your 1-2 sentence summary of what is needed from me based on the overall context.
Here's a sample workflow excerpt for a template that reads your entire Slack activity and finds any places where you have someone waiting for an action or task.
Search steps
The way to search Slack would be to look at the time period selected (use last 24 hours if nothing is selected) and search for the name[insert your name here](my name) in the Slack search. For example, if today is Apr 4th 2025, then you would search forafter:2025-04-02 Johnto mean all messages that had the word "John" in it and that were posted after April 2nd – which includes Apr 4th (today) and to be safe, all of Apr 3rd as well.
Then please extract the threads where you found these matches, and analyze those threads to figure out what is needed from me (as explained in the objective).
Reporting
Please create a report with an Executive summary, and then a list of topics (clear headlines for each thread you found where just reading the title allows me to know what the thread/topic was about - use simple conversational English and not a "word salad" that is hard to follow.
Under each topic then, provide a summary of what is needed from me with an excerpt of the exact message and who sent it.
At the end, have a list of references cited above with Slack hyperlinks to each thread where I am needed.
This natural language approach means anyone can set up an advanced workflow without technical barriers. Suppose you set a workflow to "Summarize the week's product updates every Friday at 5pm." In that case, Ayraa will:
- scan JIRA for features implemented, bugs fixed, and any launches,
- extract the top themes and keywords from these,
- then pull high-signal conversations from Slack on these topics and keywords,
- scrub, score, and organize the content extracted from JIRA & Slack, synthesizing insights & gathering summaries,
- format polished release notes,
- and send them directly to your team's channel or inbox — without you lifting a finger.
And it does this every week without needing reminders, re-prompts, or maintenance.
The knowledge synthesis goes beyond surface-level scraping. The reasoning model creates well-thought-out plans, and the autonomous execution allows the AI to run for a long time and go deep in your workspace - iterating, if needed.
24/7 Deep Research on Autopilot
Once you define a workflow, Ayraa’s agent runs with it on autopilot.
Think of it as a tireless digital researcher that works around the clock on your behalf. Need a competitive analysis or an incident report first thing in the morning? The agent can be working on it overnight. These workflows introduce always-on helper agents to your workspace that can easily 10× your productivity by handling work continuously across limitless use cases.
Importantly, the agent doesn’t just run once – it can be set to run whenever needed or even continuously watch for new information. You don’t have to babysit it. After you hit “go,” the AI will autonomously carry out the task from start to finish. It’s like putting your research on cruise control: the heavy lifting happens in the background, without constant oversight. By the time you check in, the research is done and neatly packaged. This frees you from the constant juggle between tools and tasks, effectively eliminating a lot of busywork.
Fine-Grained App Control and Integration
Ayraa workflows operate across all your work apps – but you remain in control of where and how they search for information. With each workflow, you can specify exactly which applications or data sources the AI should use. For example, you might direct an agent to pull data only from your project management tool and database, or to search both your Slack messages and Google Drive documents. You can also provide per-app instructions to guide the agent: for instance, tell it to look in a particular Slack channel, or to ignore older documents in Confluence.
Under the hood, the AI translates your natural language instructions into targeted queries for each app. It knows how to use the APIs and search capabilities of tools like Slack, Gmail, Jira, or Salesforce to find relevant data. By controlling the app scope, you ensure the agent has access to the right context and nothing extraneous. This fine-grained control means the workflow’s output is both relevant and compliant with any data boundaries you have. In short, you get the benefits of deep integration with your tech stack without handing over the steering wheel entirely – you set the boundaries, and the AI executes within them.
Multi-Step Reasoning and Execution
Complex tasks often require multiple steps and careful reasoning, and Ayraa’s agents are built to handle exactly that. When a workflow runs, the AI doesn’t just do one simple search and stop. It mimics human-like reasoning: it will think through the task, break it down into sub-tasks, and plan a sequence of actions to achieve the end goal. After each step, the agent pauses to reflect on the results it just got. It checks whether those results are relevant and decides what to do next. This might involve refining a search query, looking up a definition, or branching out to another data source – whatever the plan requires.
This iterative, multi-step approach means the agent can tackle complex research questions that a single query can’t solve. It can gather information from multiple places, cross-reference facts, and adjust its strategy if new information changes the picture. And it does all of this tirelessly, without rushing or skipping steps. Workflows can run for minutes or even hours, methodically going through the plan just like a diligent human researcher would. The result is a thorough job: by the end, the AI has compiled and synthesized information from many sources, having effectively “thought through” the problem in a logical way.
Collaboration and Template Sharing
Ayraa makes it easy to get started with workflows by providing dozens of templates for common use cases. You don’t have to start from scratch if you don’t want to. For example, there might be a template for “Weekly Sales Report” or “Product Release Notes” already available. You can pick a template that’s close to what you need and then customize it to fit your specific requirements. Every workflow can be tweaked – you can add or remove steps, change the data sources, or refine the instructions – so the outcome is exactly right for you.
Once you have a workflow that works well, you can share it with your team. Collaborate and share workflows just as you would share a document or script. Your teammates can run the same workflow or further modify it for their needs. This means best practices in your organization can spread quickly. If one person figures out a great automated research process (like a perfect weekly engineering recap), everyone else can benefit from it in just a few clicks. The result is a more streamlined operation across the board, as people aren’t reinventing the wheel for recurring tasks.
Scheduling and Automation of Recurring Tasks
One of the most powerful features of Deep Research Workflows is the ability to schedule them to run automatically. You can set up a workflow to execute at a specific time or on a recurring schedule – for example, every day at 7:00 AM or every Friday afternoon. This is ideal for routine reports and ongoing research tasks. Ayraa gives you precise control over when a workflow runs, so the results are ready exactly when you need them, without manual intervention.
Consider the advantage of this scheduling: your Monday morning team summary can be prepared by 6:00 AM Monday, waiting in your inbox when you start your day. A nightly operations health check can run at midnight and Slack you the highlights by the time you wake up. Because the agent is truly 24/7, it doesn’t matter if these tasks need to run outside of working hours. You’ll get the benefit of up-to-date information delivered on your schedule. In short, automation plus scheduling means important insights are never late or forgotten – they arrive like clockwork.
Detailed Reports with Custom Formatting
The end product of a deep research workflow is typically a detailed report or summary, and Ayraa ensures those reports are polished and easy to read. The AI can output findings in a structured format that you define ahead of time. You might want bullet points, tables of key data, or a narrative summary with section headings – these can be configured as part of the workflow. With pre-configured formatting guidelines, every report comes out consistent and professional-looking without any extra effort.
What’s more, Ayraa’s agents do more than just compile raw data – they highlight the insights that matter. Because the AI is doing reasoning along the way, it can include context and explanations in the report, not just dump figures. For example, instead of only listing sales numbers, a report might add, “Sales increased 5% this week, likely due to the launch of Project X,” if it found that insight during its analysis. The workflow essentially writes the report for you, following your formatting preferences and injecting automated insights. This means you get immediate value from the results – they’re presentation-ready and often come with the story behind the data, not just the data itself.
Having a great report isn’t useful if you forget to check it, so Ayraa makes delivery convenient. The platform delivers your workflow results wherever you already work – that could be your email inbox, a Slack channel or direct message, or within the Ayraa app itself. You choose the delivery method that fits your routine. For instance, you might set a competitive intelligence report to be emailed to you and your team lead, while a daily engineering summary could be posted to a private Slack channel every evening.
This multi-channel delivery turns Ayraa into something like a 24/7 executive assistant. The information you need finds you, rather than you having to go look for it. If you live in Slack, you’ll see the updates right alongside your other conversations. If you prefer email, the report will show up as a nicely formatted message. And for deeper dives, you can always view the full details in Ayraa’s app. The key point is that the insights are integrated into your normal workflow and tools, so staying informed becomes effortless.
How Teams Are Using Workflows
Ayraa’s Deep Research Workflows are versatile and can be applied in virtually any domain. Here are a few concrete examples of how different teams use these AI-powered workflows:
- Engineering Reports: Engineering managers can automate daily or weekly status reports. For example, a workflow can gather updates from source code repositories, issue trackers, and team chat. The agent might list new code changes, highlight completed tickets, and flag any blockers. By morning, the entire engineering team has a synthesized report of what happened in development – without anyone manually compiling it.
- Release Notes Generation: Product teams often spend time writing release notes for new features or updates. Ayraa can handle this by collating information from commit messages, pull request descriptions, and project management boards. A workflow can automatically produce draft release notes whenever a new version is ready, complete with a list of new features, improvements, and bug fixes – all formatted and ready to review or publish.
- Sales Signals and Insights: Sales teams can set up agents to watch for important signals, like big deals moving through the pipeline or notable customer activities. A workflow might monitor the CRM for any high-value opportunities that changed status, scan inbound emails for key customer inquiries, and check news sources for mentions of target accounts. It then delivers a daily brief highlighting things like “Lead X became a qualified opportunity” or “Client Y was mentioned in the news today,” giving the sales team actionable intelligence without anyone digging through data.
- Operations Recaps: Operations and executive teams benefit from regular summaries of business health. An operations recap workflow can pull key metrics from various systems – finance software, inventory databases, support ticket logs, uptime monitors, etc. – and compile them into a concise overview. The AI might note, for instance, that “Customer support tickets dropped 10% this week” or “Inventory levels are within normal range.” These recaps ensure leadership is always up to speed on the state of the business, and they’re generated automatically at whatever interval makes sense (daily, weekly, monthly).
Each of these use cases demonstrates the core value of Ayraa’s Deep Research Workflows: time-consuming information gathering and analysis can be delegated to an intelligent agent. Whether it’s an engineer, a salesperson, or an executive, everyone gets to reclaim time and make better decisions because the right information is delivered to them with minimal effort.
Wherever momentum depends on connected knowledge, Ayraa's Workflows quietly take the weight.
A New Paradigm in Workspace Knowledge Management
While modern workspaces are scattered and disorganized, Ayraa’s Deep Research Workflows bring structure that lasts. Set them once, and they run on a schedule—continuously organizing and compressing your digital workspace into clear, distilled reports and insights.
Instead of digging through chat threads or running manual searches, you define the outcome once. Ayraa handles the rest—pulling data from across your tools, synthesizing it, and delivering exactly what you need.
Ayraa takes in all the raw data and pulls out what’s actually useful—clear, timely insights that help you move forward.
The result? Knowledge that’s not just organized—but always ready, always relevant, and always waiting for you.
What Comes Next
We’re not stopping with workflows. We’re building an entire ecosystem of plug-and-play use cases—modeled on how real teams actually operate. From product sprints to pipeline reviews, leadership recaps to customer intelligence, every workflow is designed to save time, reduce noise, and shift how work gets done.
Soon, this won’t feel like a feature. It’ll feel like the default.
We believe this is the future of work: proactive, composed, and quietly intelligent.
And Ayraa brings that future to you—now.
Welcome to a workday that works for you.
