This article provides a complete, practical walkthrough of the Splitout Code Send Scheduled n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   Automated Weekly Team Reports Using AI and Microsoft Teams with n8n
   
   Meta Description:
   Streamline your remote team's communication with an AI-powered n8n workflow that fetches, analyzes, and summarizes weekly Microsoft Teams messages into a concise team report posted every Monday. Learn how this automation improves collaboration, motivation, and transparency.
   
   Keywords:
   n8n workflow, Microsoft Teams automation, OpenAI GPT-4 reporting, team activity summary, weekly report automation, AI team insights, remote team management, LangChain in n8n, GPT-4.1 mini, automated status updates, internal communications, LLM automation, workflow automation
   
   Third-Party APIs Used:
   
   1. Microsoft Teams (microsoftTeamsOAuth2Api)
   2. OpenAI (openAiApi)
   
   Article:
   
   Automated Weekly Team Reports Using AI and Microsoft Teams with n8n
   
   Managing communications in a remote team can be like trying to drink from a firehose — messages fly fast, threads get nested, and important insights disappear into the chat void before anyone sees Monday coming. But what if your team had an AI assistant that summarized every team member’s week and created a digest to kick off each Monday morning with clarity and motivation?
   
   Using the powerful automation capabilities of n8n, the integration of Microsoft Teams, and the intelligence of OpenAI, you can now automate this exact process. This article walks you through a purpose-built n8n workflow that automatically fetches all your team’s activity from the past week, uses AI to produce informative and inspiring summaries, and posts a nicely formatted team-wide report right into your Microsoft Teams channel — all before coffee.
   
   Why Automate Weekly Reports?
   
   In high-functioning teams, small wins, quick discussions, and recurring challenges are often buried in message threads. Capturing this fleeting information and turning it into actionable insights is a project manager’s dream. Enter this automated workflow, which acts like your team’s digital assistant, consistently bringing everyone up to speed and fostering alignment at the start of every week.
   
   What the Workflow Does
   
   Here’s how this n8n workflow works from start to finish:
   
   1. Scheduled Trigger:
   Every Monday at 6 AM (customizable), the workflow kicks off automatically to fetch all message activity from the designated Microsoft Teams channel over the past 7 days.
   
   2. Fetch and Group Messages:
   Using the Microsoft Teams node, it fetches every message thread, including replies. Then, with a simple code block, these messages are grouped by the user who posted them, enriching replies with their parent messages for context.
   
   3. Individual Team Member Reports:
   Each group of messages (per user) is passed to the “Team Member Weekly Report Agent”, a GPT-4.1-mini powered AI task. It processes the messages and produces a short report — highlighting wins, struggles, decisions, and calling out contributions.
   
   4. Merging for a Team Perspective:
   All the individual reports are aggregated and passed to another AI model through the “Team Weekly Report Agent”. This model compiles them into a cohesive, markdown-formatted team weekly report that weaves individual activity into a broader narrative — identifying trends, peer collaboration, and key challenges.
   
   5. Post Back to Microsoft Teams:
   The final markdown is converted into HTML via n8n's Markdown node and posted straight into your Microsoft Teams channel as a morning update for the week.
   
   Benefits of This Workflow
   
   - 🌐 Centralized Reflection: No information slips through the cracks. Everyone can see what happened and what’s coming next.
   - 👍 Team Motivation: With AI commentary, team members get callouts and kudos for their contributions.
   - 🎯 Actionable Insights: Managers gain clear visibility into input, collaboration, and blockers without requiring manual report creation.
   - 🔁 Repeatable and Scalable: Duplicate and adjust per channel, per project, or per team as needed.
   
   Customizing Your Setup
   
   This workflow is powerful out of the box but also highly extensible:
   
   - Change the tone: Adapt the prompt to suit your company’s voice — cheerful, formal, analytical, or motivational.
   - Adjust frequency: Want daily digests or monthly insights? Alter the scheduling as per team rhythm.
   - Target roles or teams: Filter messages by role or group to generate departmental reports.
   - Export to email or Slack: Re-route final reports to different communication channels depending on audience.
   - Data enrichment: Pull in KPI metrics from dashboards or delivery pipelines to correlate message activity with performance.
   
   Requirements
   
   To get started, you’ll need:
   
   - An n8n setup (local or cloud)
   - Microsoft Teams integration with appropriate OAuth credentials
   - An OpenAI account with access to GPT-4.1 or similar models
   
   Third-Party APIs Used
   
   - Microsoft Teams: For reading and posting messages via channel and thread information.
   - OpenAI: For intelligent summarization and report generation using GPT-4.1-mini.
   
   Final Thoughts
   
   With hybrid and remote work staying the norm, asynchronous communication must evolve. This n8n automation transforms fragmented chat into team-wide clarity, leveraging the power of AI to deliver consistent, engaging weekly recaps. It saves time, builds documentation, and lets managers and team members reflect efficiently on their collective achievements.
   
   Setting this up will give your team a new Monday morning ritual — one driven by automation, insight, and a little bit of AI magic.
   
   Want to try it for your project team? Download the template, customize to your rhythm, and deploy your own AI weekly assistant today.
   
   —
   
   Need help setting this up? Join the n8n community on Discord or visit the forums. Happy hacking!

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.