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AI agents and assistants for your team

We build internal AI assistants and agents that help employees find information across company knowledge, prepare documents and analyses, and execute tasks in your systems - strictly within their permissions and with human approval.

AI in customer service Document automation System integrations Process automation More
01 benefits

AI that works with your team, not alongside it

Company knowledge is scattered across procedures, emails, contracts, and multiple systems at once, meaning a simple answer can take half an hour to track down. An internal AI assistant brings it all together: providing answers based directly on your internal resources, citing sources, and drafting letters, summaries, or reports. It is a tool built for your team - customer-facing conversations are handled by a different type of solution.

An AI agent goes one step further, operating inside systems via their APIs: creating tasks, updating records, or preparing orders. Every change is proposed first and only executed once approved by an employee. The agent sees only what the person using it is authorized to access, and every single action is fully logged.

  • Answers from company knowledge with source citations
  • Drafts of letters, summaries, and reports
  • Data analysis and decision support
  • System tasks via API
  • Human approval before any change
  • Permissions and audit log of agent actions
02 services

What can you entrust to our team?

If repetitive tasks take up too much time, your systems do not talk to each other, or you see opportunities to leverage AI, we can help bring order and automate them. We deliver system integrations, process automations, AI tools, internal assistants, and automated data processing solutions.

Not sure where to start?

Tell us about your project. During a 30-minute consultation, we will point out what is worth doing now and what can wait.

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03 process

How do we work together?

Stage
Action
Benefit
01

Business process analysis

We analyze current processes, existing tools, and tasks performed manually.

  • Better understanding
  • Hidden costs
02

Solution design

We simplify and optimize the business process first, and only then design automations, integrations, or AI solutions.

  • Simpler processes
  • Less manual work
03

Implementation of automation and AI

We build integrations between systems, automate workflows, and deploy AI solutions, internal assistants, and tools supporting data analysis and processing.

  • Time saved
  • Fewer errors
04

Testing and optimization

We verify the performance of automations, monitor results, and refine processes based on data and real user feedback.

  • Better performance
  • Stable operation
05

Development and scaling

We help expand into further processes, implement new integrations, and scale system capabilities as your business grows.

  • Higher efficiency
  • Ready to grow
04 faq

Frequently asked questions

How does an internal AI assistant differ from a customer chatbot?

An internal assistant works for your team, whereas a chatbot talks to your customers. An assistant can access materials customers should never see - internal procedures, notes, data from backend systems - which is why it runs strictly within the permissions of the specific employee.

A chatbot operates on a narrower, public scope of information and has a clear escalation path to hand off the conversation to a human. These are two different projects, even if they draw on the same knowledge base.

What does deploying an AI agent in a company look like?

We start with a single task, not the entire company. Together, we choose the task where the team loses the most time, define knowledge sources, systems, and operating boundaries. Then we prepare a pilot, test it against real scenarios from your daily work, and expand the scope only after evaluating the results.

What factors affect the cost and delivery time of an AI assistant?

The number of knowledge sources, the systems the agent needs to integrate with, and whether it only answers questions or also executes actions. An assistant searching structured documents is a smaller project than an agent writing records to an ERP. On top of the implementation cost, there is the language model usage fee based on query volume - we estimate this before kick-off.

Can an AI agent access our systems and documents?

Yes, as long as the systems provide an API or another supported data exchange method. The agent is granted access only to approved tools and operates strictly with the permissions of the active user. We treat documents as reference sources, not instructions - file contents cannot override what the agent is allowed to do.

Can an AI agent do something without our knowledge?

Not if we design it properly - and that is exactly how we build them. The agent prepares a proposed change and only executes it once an employee approves it. We re-check permissions prior to execution, and every action is recorded in an audit log, so you always know who approved what.

What happens after the assistant is launched?

We measure whether it genuinely helps: how often answers were accurate, how many suggestions the team accepts, and how much time the task takes. Based on these insights, we refine instructions, update knowledge sources, and add further capabilities. We can also handle ongoing technical care, including adapting to changes in AI models and connected systems.

05 knowledge base

Benefit from our experience

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