AI Solutions for Business: Integration and Process Automation
We apply AI where it takes work off your team: virtual assistants that serve customers, AI models built into the software you already run, and repetitive workflows that run themselves.
- AI chatbots and virtual assistants
- AI integration into your systems
- Business process automation
What are AI solutions for business?
AI solutions for business use models, such as large language models, to handle specific organizational tasks: answering enquiries, processing information, supporting decisions or automating workflows. Kondory builds AI assistants and connects services like ChatGPT (OpenAI) to company systems so the AI works with your data and your processes.
Who is this service for?
- Businesses fielding many repetitive customer enquiries
- Teams with manual tasks that eat hours every week
- Companies with existing software that want to add AI to it
- Operations teams looking to speed up internal workflows
- Leaders who want to explore AI through one concrete use case
What we do with AI
Three fronts: talk to your customers, embed AI in your systems and automate the routine.
AI chatbots and virtual assistants
Assistants that answer customers and staff using your company's information. Explore our AI chatbot development.
AI integration into your systems
We connect models such as ChatGPT (OpenAI) to your existing or new software so AI can summarize, classify or respond inside the tools your team already uses.
Business process automation
We find repetitive work, such as data entry, follow-ups or frequent replies, and automate it with software and AI so your people can focus on higher-value tasks.
Software with built-in AI features
We design AI into enterprise systems and new products from the start, rather than bolting it on later.
Connecting AI to your data and tools
AI is useful when it knows your context. We wire in the information sources and cloud services your company already relies on.
Proof of concept and guidance
We start with a focused use case to prove the value before scaling, and guide you through rollout.
When does applying AI make sense?
- When your team keeps giving the same answers or doing the same tasks
- When valuable information is scattered and hard for anyone to query
- When you want to serve customers outside your team's working hours
- When a process hinges on manual steps that could be automatic
How we run an AI project
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Pick the use case
Together we choose the process where AI adds the most value with the least risk.
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Design the solution
We define what data the AI uses, how it connects to your systems and how it is supervised.
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Build and integrate
We develop the solution and test it against real cases from your operation.
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Launch and refine
We go live, train your team and tune the solution based on real usage.