LLM-Powered Custom AI Agents: Tools Made Just for Your Business

There are different ways that each firm works, and not all AI tools can keep up. We make unique AI agents at Improwised that are based on open-source or private large language models (LLMs), trained on your processes, kept safe in your environment, and optimized for real-world results. We make sure that each AI agent works the way your teams do, not the other way around. This could be an internal dev copilot, a support automation assistant, or a documentation agent.

Features

Why Custom AI Agents Are Important

building block

Most AI products that you can buy already have training for general talks. But agents that really provide value to your business are those that:

Get useful information from private sources.
Automate processes that are specific to your domain (QA, ticketing, documents).
Follow the rules and stay safe while working.
Are trained all the time, not only when they are sent out

That's what makes a chatbot different from a real agent.

Industry

What does Improwised Technologies offer for making custom agents?

Designing agents and mapping out workflows

To figure out what the agent should do, we start by mapping out your workflows, which include tasks, inputs, user roles, and edge situations.

Choosing and Fine-Tuning the LLM

We employ open-source models (like LLaMA and Mixtral) or private APIs and then fine-tune them with your data, depending on your privacy and financial demands.

Putting knowledge sources into use

We use vector embeddings to construct semantic search layers for your agents so they can understand internal material like docs, databases, tickets, and wikis.

Interfaces for Natural Interaction

We make interfaces that work with how your teams already talk to each other, whether it's through chat, email, the command line, or Slack. They also have contextual memory and follow-up handling.

Deployment with Privacy First

Agents can run on your private AI server lab (see the previous page) or in secure containers. No data will be shared with anybody outside of your organization.

Loops of feedback and iteration

We keep track of interactions, failures, and user input so that we can keep retraining the agent and making it more useful over time.

Achievements

What This Gives You

Faster times for support to fix problems

Better automation for both technical and non-technical jobs

Better use of internal documents and data

Less time spent training new employees

Reliability

Why should you choose Improwised Technologies for Agentic AI?

We don't just send agents out; we also assist you in designing the perfect ones based on how your business works. Improwised gives your agents more clarity in engineering, more knowledge of security, and the chance to improve them over time.

  • Not tech-first, but workflow-first
  • Full-stack development including AI, UI, and infrastructure
  • Domain context and user experience design
  • Improvement that can be measured after deployment

We make sure that your AI agents really help and don't just talk.

FAQS

Frequently Asked Question

Get quick answers to common queries. Explore our FAQs for helpful insights and solutions.

Not Sure What an AI Agent Could Do for You?

Let's look at several examples of how to use it, from support ticket summaries to research assistance inside the company. An AI agent can certainly help if it's something that happens a lot and has a lot of text. We'll show you how.