Frequently Asked Questions

In May 2025, Ymnig AI rebranded to Abundly AI.

The transition

Ymnig AI officially became Abundly AI in May 2025. This was a complete rebrand of the company while maintaining all the same services, team, and technology.

What this means

• Same company: All the expertise and people remain unchanged
• Same platform: Your AI agents and data continue to work seamlessly
• Same location: Still based in Stockholm, Sweden
• New identity: Now operating under the Abundly AI brand, more internationally recognizable and pronounceable but still aligned with our vision of creating abundance through AI technology

For existing customers

Nothing changes for your day-to-day experience. All accounts, agents, and services continue without interruption.

Read more about the rebrand on our blog.

Abundly AI helps organizations build effective human-AI teams — where people and AI agents collaborate to boost productivity, insight, and decision-making.

Unlike basic automation tools, Abundly AI focuses on augmentation, not replacement. It enables your workforce to create, train, and work alongside AI agents that handle repetitive or data-intensive tasks, freeing humans to focus on strategy and creativity.

How Abundly AI works

Build AI agents easily: Create your first agent in minutes using plain language — no coding required. See agents

Train your team: Abundly AI helps your employees learn to design and manage their own AI-powered workflows. See courses.

Scale responsibly: From pilot projects to enterprise transformation, the platform supports both experimentation and organizational change. See transformation

Why it matters

Abundly AI turns AI from a technical challenge into a practical business capability. Organizations use it to streamline operations, enhance decision-making, and develop lasting in-house expertise in human-AI collaboration.

Learn more about how to build your first AI agent at https://app.abundly.ai

Getting started takes just a few minutes:

1. Sign up at app.abundly.ai/signup — free trial, no credit card required
2. Create an agent from scratch or clone one from our Use Cases
3. Configure and test — tell it what to do, enable capabilities, and refine until you're happy

For a complete walkthrough, see our Getting Started Guide.

There are two ways to pause an agent:

1. From Agent Management: Go to Agent Management → Agents tab, find your agent, and use the On/Off toggle in the Status column
2. From the agent itself: Go to Settings → Main Settings → Actions and toggle the agent off

While paused, the agent stops processing triggers, scheduled tasks, and incoming messages — but stays fully configured and ready to resume anytime.

For more details, see our Agent Management documentation.

Agent instructions define what your agent should do, how it should behave, and provide necessary context—think of them as a job description for your AI.

Quick tips for effective instructions:

• Be specific and direct—state exactly what the agent should do
• Include relevant context (company info, tone, constraints)
• Use examples to demonstrate expected behavior
• Start simple and iterate based on testing

Two ways to create instructions:

1. Click "Instructions" in the agent navbar for direct editing
2. Use conversational configuration by chatting with the agent

Learn more:

• Agent Instructions Documentation
• Agent Design Guide

Not yet — embedding the chat widget on external websites is on our roadmap but not currently supported.

Current alternatives

• Email integration — Enable Send/Receive Email capabilities so external users can interact with your agent via email
• Agent API — Build a custom integration using the agent's API endpoint. Go to Agent Settings → API Access to get started

For details on the API approach, see our Agent API Endpoint documentation.

We'll notify customers when chat widget embedding becomes available. Questions? Contact support@abundly.ai.

Yes! Multiple users can access the same agents — we even recommend it when collaborating on processes.

Access is controlled per agent with four levels: Admin (full control), Edit (modify agent), Use (chat only), or None (hidden). You can set a default for the whole team and override for specific users.

For details on organization roles, groups, and agent-to-agent access, see our Access Control documentation.

To create an agent: click New Agent in your dashboard and give it a name, or clone a pre-configured agent from our Use Cases. Then define what it should do, add capabilities (email, Slack, etc.), and test it. For detailed steps, see the Getting Started guide.

There are two ways to give team members access:

1. Team-level: Go to Members in the main menu to add people to your organization
2. Agent-specific: Go to the agent's Settings → Team Access to control who can access that specific agent

Each agent has four access levels: Admin, Edit, Use, or None. You can set a default for all team members and override for specific users.

For details on roles, groups, and permissions, see our Access Control documentation.

Integrations connect your agent to external services like Slack, Google Drive, GitHub, etc. Toggle them on in the Capabilities section of your agent.

• Some work out of the box (e.g., web search, email) using platform-provided credentials
• Others require your authorization (e.g., Slack, Notion) via OAuth or API token
• On-demand: If your agent needs a capability it doesn't have, it will ask for it during the conversation

Credentials are stored securely and encrypted. For setup guides, authentication details, and extending with MCP servers, see our Integrations documentation.

The recommended approach is iterative refinement:

1. Chat with your agent and update instructions with more specific details
2. Be explicit about requirements (companies, time periods, formats, etc.)
3. Test and tweak — try 1-2 iterations before escalating

If you don't see improvement after a couple of attempts, contact support@abundly.ai with specific examples of the problems.

For tips on reducing costs and improving performance, see our Agent Optimization guide.

Abundly has comprehensive documentation available at docs.abundly.ai.

Documentation Sections

The documentation site covers:

• Introduction - Platform overview and getting started guides
• Features - Detailed information about agent capabilities, instructions, and communication
• Integrations - How to connect agents to external services
• Guides - Guidance on designing effective agents
• Use Cases - Real-world examples and applications
• Security - Enterprise security features and compliance
• API - Technical API documentation
• Changelog - Platform updates and new features

Quick Links

• New to Abundly? Start with the Welcome page
• Want to build your first agent? See Getting Started
• Need help with integrations? Check the Integrations Overview

Video Tutorial

A 9-minute video walkthrough by Henrik Kniberg demonstrates the platform in action.

Still need help?

If you can't find what you're looking for in the documentation, contact us at support@abundly.ai.

To connect your agent to Slack, you'll need to:

1. Create a Slack app with the required permissions
2. Configure the Slack capability in Abundly with your app credentials
3. Install the app to your Slack workspace
4. Invite the agent to the channels where it should respond

For the complete step-by-step guide including the app manifest, OAuth setup, and troubleshooting tips, see our Slack integration documentation.

Need help? Contact our support team at support@abundly.ai.

Setting up Google Drive integration lets your agent access and create documents. Here's a quick overview:

1. Go to Settings → Capabilities and find "Google Drive"
2. Click "Create connection" and complete the Google authorization
3. Verify the connection is active
4. Start using Drive commands with your agent

For the complete setup guide, including troubleshooting and detailed instructions, see our Google Drive Integration documentation.

Need help? Contact our support team at support@abundly.ai.

Abundly has limited Microsoft integration — Outlook and SharePoint are available on request.

We don't use Microsoft's LLM selection. Abundly independently chooses AI models (Claude, GPT, Gemini) based on performance for autonomous agent tasks.

For details on available integrations, see our Integrations documentation.

Your data is encrypted (AES-256 at rest, TLS 1.2+ in transit) and stored in GDPR-compliant EU data centers. Credentials and API keys are never exposed to the LLM. We use multi-layer security including a separate security agent and code-level guardrails that can't be bypassed via prompts. All actions are logged for audit trails. For full details, see our Security Overview.

Abundly is built with enterprise-grade security using a multi-layer "onion" architecture that provides protection at every level—from the underlying AI models to platform guardrails and user-controlled capabilities.

Key security highlights:

• Multi-layer protection – Security agent, access controls, and technical guardrails
• Encryption – AES-256 at rest, TLS 1.2+ in transit
• GDPR compliant – EU data residency available
• Audit trails – Complete logging of all activities

For detailed information about our security architecture and compliance certifications, see our Security Documentation.

our list of subprocessors

Yes, Tier 1 subscribers can purchase additional credits when needed.

Quick details:

• 2,000 extra credits for $15 USD
• Purchase anytime via Billing in your account settings at app.abundly.ai
• Credits are added immediately to your balance

For complete pricing information and purchase instructions, see our Pricing Documentation.

Yes, you need an active subscription or sufficient credit balance to keep your agents running. If credits run out, agents pause automatically but no data is lost—they resume immediately once you add credits or choose a plan. See our Pricing documentation for full details.

You cannot top up credits while on trial—you must first activate a paid subscription. Go to Billing → Plans, choose a tier, and activate. You'll receive subscription credits immediately and can then purchase more in Billing → Credits.

For full details, see our Pricing documentation.

Here are the key ways to reduce your AI agent costs:

• Run less frequently – Schedule tasks hourly instead of every few minutes when possible
• Minimize context size – Only include essential information for the task
• Use agent documents wisely – Store reference info with "Summary" visibility so it's retrieved only when needed
• Simplify instructions – Keep them clear and concise; simpler often works better
• Choose a cheaper model – Switch from Claude Sonnet to a more economical option if your use case allows

For detailed optimization strategies, see our Agent Optimization Guide.

Yes! Go to your account settings, navigate to subscriptions, choose a plan, and complete the upgrade. Your subscription starts immediately, all data remains intact, and you can then purchase additional credits.

For full details on plans and pricing, see our Pricing documentation.

Go to Billing in your dashboard, then click the Credits tab to top up. Note: You must have an active paid subscription (credit top-up is disabled during trials). For full details, see our Pricing documentation.

Credit usage varies based on task complexity, context size, and the LLM model used. For example, a simple news check might use ~50 credits, while analyzing a meeting transcript and drafting follow-ups could use ~175 credits. For detailed examples and optimization tips, see our Agent Optimization Guide.

Abundly uses a credit-based pricing system—you pay for credits consumed when agents perform actions like sending emails, analyzing documents, or making API calls. Costs vary based on task complexity, from ~50 credits for simple tasks to ~5,000 for complex operations. All plans include unlimited agents and team members, with unused credits rolling over. For full details on plans and pricing, see our Agent Optimization Guide.

Abundly uses credit-based pricing with no per-seat costs:

• Unlimited agents and unlimited team members included
• You only pay for credits consumed when agents perform actions
• Three tiers: Small, Business, and Enterprise

View current pricing at app.abundly.ai/prices.

For details on how credits work, billing, and managing costs, see our Pricing documentation.

When your credits reach zero, your agents will automatically pause—but don't worry, all your configurations and data remain safe. Simply add more credits through your dashboard to resume service immediately. For full details on credits and pricing, see our Pricing documentation.

This is expected — credit top-up is disabled during trials, even if you've selected a paid plan. Once your trial ends, the top-up button becomes available.

Contact support@abundly.ai if you urgently need more credits before your trial ends.

For full details on credits, trials, and billing, see our Pricing documentation.

Email support@abundly.ai for technical support. Include a clear description, steps tried, and any error messages. We typically respond within 24 hours on business days.

For common issues and self-service solutions, see our Troubleshooting guide.

Each new verification code invalidates all previous ones. Check your email for the most recent code (look at timestamps) and use that one. Codes expire after 30 minutes. Don't request multiple codes in a row—each request invalidates the previous one.

For more help, see our Troubleshooting guide.

Yes! You can select which language model powers each agent in Abundly.

To configure: Go to your Agent settings and choose from providers like Anthropic Claude, OpenAI GPT, or Google Gemini.

Quick tips:

• Use (no preference) to let Abundly auto-select the best model for you
• Choose model aliases (e.g., "Claude Sonnet Latest") for automatic upgrades
• Pick specific versions when you need full control and consistency

For the full list of available models, thinking token options, and use-case recommendations, see our Model Selection documentation.

Yes! As of June 2025, the Abundly team has implemented significant improvements that reduce credit consumption by 25-50% across all agent interactions.

What changed

• Reduced credit consumption for all agent activities (chat, autonomous tasks, scheduled operations)
• The exact reduction varies based on how interactions take place, but most users see 25-50% savings
• This improvement affects all types of agent usage regardless of context

When it took effect

• The changes have been live on the platform for several days as of June 26, 2025
• You do not need to take any action to benefit from these improvements
• All existing agents automatically benefit from the reduced credit consumption

User action required

None - This improvement is automatic and applies to all agents immediately. No configuration changes or updates are needed.

Before running large batch operations, follow this checklist to prevent interruptions:

Pre-operation Checklist:

1. Calculate credit needs – Estimate 25-50 credits per item (e.g., 3,500 items ≈ 87,500-175,000 credits)
2. Top up credits – Ensure sufficient balance before starting
3. Plan for interruptions – Know which items are completed vs. incomplete in case you need to resume

For detailed guidance on cost calculations and optimization strategies, see our Agent Optimization Guide.

Need help estimating credits? Contact support@abundly.ai.

Chat conversations are stored in our MongoDB database hosted in Stockholm, Sweden (EU). You have full control—delete a conversation anytime and it's permanently removed.

For details on data residency, encryption, and compliance, see our Infrastructure documentation.

It depends on the source. Agent documents (created in Abundly) are stored in EU data centers in Stockholm. External documents (Google Drive, SharePoint, etc.) remain on their original provider's servers—the agent accesses them through your permission but doesn't copy them.

For more details, see our Documents documentation.

All customer data is stored in EU data centers in Stockholm, Sweden (database on AWS eu-north-1, services on GCP europe-north2). Static files are served via CDN. Data does not leave the EU.

For full details on infrastructure, encryption, and compliance, see our Infrastructure documentation.

Yes! Our agent courses teach transferable skills that apply across AI platforms.

What you'll learn:

• Agent design principles and automation patterns
• Human-AI collaboration strategies
• Workflow optimization techniques

These concepts work whether you're using Abundly, Microsoft Copilot, or other AI tools.

Explore our courses at abundly.ai/courses.