Only 5% of companies get AI assistants right. Be one of them.

Stop calling AI “smart”. It’s not a mind, it’s a worker that performs best when designed and integrated the right way. See how Mifort helps business owners join the 5% whose AI assistants actually deliver measurable results, turning everyday automation into real competitive power.

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Only 5% of companies get AI assistants right. Be one of them.

Not a mind, or a miracle, just the hardest-working assistant you’ll ever hire

“Where, how, and when do we implement AI?” That’s the question everyone’s asking, but only because they expect “intelligence” from Artificial Intelligence. Many treat it as if it were a thinking being, forgetting it’s just a chain of mathematical predictions that can’t reason, judge, or act on its own.

“Then why even consider implementing AI?” As Engelbart once put it, the primary reason for AI emergence was “increasing the capability of a man to approach a complex problem situation…” through tools that relieve humans of menial clerical work. Today, we call these “tools” AI assistants that are meant to help perform routine and repetitive tasks. And as we know, in business, there are tons of those waiting to be optimized.

The 5 right places for AI assistants in everyday work

At Mifort, we’ve identified five areas where AI assistants make the biggest difference.

1. Customer service automation

AI assistants answer common questions, process simple requests, and guide users through account actions, freeing up human agents for complex or sensitive cases.

    Proven in Mifort’s work

    For a major European mobile operator, we implemented an AI-driven chatbot and a smart FAQ system to manage plan purchases, SIM operations, and customer requests. Automated support reduced response time and increased satisfaction across multiple regions.

    2. Process automation

    AI assistants can handle high-volume, repetitive tasks with precision, from document processing to data aggregation. They streamline workflows and extract and classify information automatically.

    Proven in Mifort’s work

    For one of our clients, we developed an AI assistant designed to handle complex document workflows. It streamlines document ingestion, search, and annotation, while continuously validating machine-generated results to maintain accuracy. By automating data extraction, risk analysis, and report generation, the system keeps information up to date with minimal supervision and frees specialists to focus on higher-value analytical work.

    3. Coding assistance

    According to the latest Stack Overflow Developer Survey, 76% of developers already use AI tools in their development workflow. Over half, 56.7%, rely on them for debugging, while 46% use them for testing and optimizing code. This way, developers focus on solving complex problems instead of spending hours tracing minor errors.

    Proven in Mifort’s work

    We developed an internal debugging tool designed to analyze VR meeting sessions. The system collects logs from multiple data sources, identifies error patterns, and highlights their exact location in the code. What used to take engineers around 30 minutes now takes just a few minutes. By automating bug detection and simplifying log interpretation, the tool lets developers concentrate on feature delivery instead of repetitive diagnostics.

    4. Lead generation assistance

    AI assistants can analyze vast communication streams, detect intent in real time, and surface only the most relevant opportunities for sales teams. This saves hours of manual filtering and ensures faster response to potential leads.

    Proven in Mifort’s work

    We developed an AI-powered intelligent sales assistant. It monitors Telegram channels, identifies messages with purchase intent, and forwards qualified leads to the sales department. This automation cut manual screening time drastically and helped the team focus on high-value customer interactions instead of routine message sorting.

    5. Administrative assistance

    Routine paperwork is one of the biggest time drains in any organization. Tasks like scheduling, billing, or maintaining client records rarely require creative input, yet they consume hours of staff time. Automating these operations with AI tools reduces human error, improves data accuracy, and makes everyday interactions faster and more consistent.

    Proven in Mifort’s work

    For a healthcare client, we implemented AI assistants that automated administrative routines, including scheduling, patient registration, billing, and insurance management. They also sent WhatsApp reminders to patients, helping increase appointment attendance by 35%. Additionally, AI-based optimization of financial reporting reduced data processing time from 15 seconds to 1.7 seconds.

    From Mifort’s portfolio, it’s clear that the pros of AI assistants are undeniable. But then…

    Why up to 95% of enterprise AI assistants fail before they make a real impact?

    The problem isn’t with technology, it’s with flawed enterprise integration. Too often, companies treat AI assistants as standalone add-ons rather than parts of a connected system. As a result, they run detached from the company’s infrastructure, and 95% of what’s called “AI implementation” ends up looking like the old-fashioned copy-paste routine.

    Mifort is your next AI partner

    With us, your AI assistant will become a functioning part of the company’s living system, not a detached widget.

    • Before implementation, we follow the “Garbage in, garbage out” principle, ensuring your data, workflows, and system inputs are clean, structured, and ready for automation.
    • Before rollout, we conduct a proof of concept to validate automation potential. We test targeted workflows to measure efficiency gains and confirm that automation delivers scalable results.
    • We connect AI assistants through secure APIs and shared data layers, avoiding silos and ensuring consistent information flow across departments.
    • Through shared data spaces and continuous learning loops, we connect every AI assistant into a single ecosystem that mirrors how the business actually operates.
    • We measure success not only in speed or automation rates, but in overall team synergy, where each AI assistant amplifies the productivity of the people it works with.
    • As the system scales, Mifort ensures every new AI “hire” integrates seamlessly, supporting business growth without fragmentation.
    • Our engineers work with a solid tech stack, including:
      • ML libraries
      • Cloud providers
      • RAG
      • Containerization
      • Deep learning frameworks
      • Natural Language Processing Libraries and many more.

    With Mifort, you will be among the 5% who succeed, building not just automation, but compound intelligence, where every new capability amplifies the strength and value of the entire system.

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