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AI-based business process optimization

We help optimize key company operations using AI tools: we automate routine tasks, eliminate bottlenecks, and increase process transparency. This reduces operating costs by 20-30% and accelerates task execution by 40-60%.

When is this especially relevant?

It is important to increase the speed and accuracy of operations

For typical tasks, automation reduces the number of errors and speeds up execution significantly.

Costs need to be cut

Optimizing processes through AI allows for savings of 20-60% on operating costs.

Prevent stagnation of employee competencies

More than 30% of valuable employees' time is spent on repetitive tasks that could be automated.

Resources need to be freed up for strategic tasks

AI takes over routine tasks, leaving the team free to focus on more complex, creative, and valuable tasks.

Scaling a business without significantly increasing staff

AI allows you to scale your business without increasing your team size at the same pace and without the costs of hiring and onboarding.

What can a business gain from AI optimization?

  • Reducing operating costs by 20-30%
  • Reducing process execution time by 40-60%
  • Increase productivity by 25-40% by freeing qualified employees from routine tasks
  • The ability to reallocate resources to strategically important initiatives
  • Increasing transparency, manageability and scalability of internal processes

Why do businesses choose to partner with us?

High level of expertise in AI and automation

Our team brings together experts with practical experience in AI, business analytics, and process automation. We use proven methodologies and modern technologies, drawing on real-world business cases and challenges.

Flexible cooperation model

We offer a variety of work formats, from project-based to subscription-based. Subscriptions allow clients to avoid large one-time costs, test solutions on specific processes, and gradually scale implementation as trust and results grow.

Accessibility for small and medium businesses

We've adapted our approaches to make technologies accessible and effective for companies of all sizes. This means clear steps, reasonable budgets, and rapid returns from the very first stages of implementation.

Transparency and measurability of results

Each stage of the work is recorded and accompanied by performance metrics: from current bottlenecks to KPI gains after implementation. You get a complete picture: where the problems were, what was done, and how this impacted the performance.

How do we structure our work process?

  1. AI Readiness Assessment First, we assess the company's readiness for AI implementation: we analyze current processes, data, and IT infrastructure, interview key stakeholders, and identify growth areas.
  2. Analysis of current processes and data We immerse ourselves in your business processes through observation, interviews, and document flow analysis. We conduct timesheets, identify duplicate functions, and prioritize areas for automation.
  3. Designing an AI solution We develop custom AI solutions using rapid prototyping methods. We use a lean approach to achieve working results early on.
  4. Implementation and integration into business processes We implement the developed solutions, integrate them into the existing system, and train employees. We also support adaptability and flexibility so you can quickly respond to business changes.

How it works in practice

Read more

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Automation of candidate selection

Client

A company with a medium to high hiring volume faced HR overload from manually processing hundreds of resumes per week. The main problem was that a significant amount of time was spent on initial candidate screening, with a high risk of missing relevant candidates due to human error.

What was done

We have implemented an AI assistant capable of:

  • automatically analyze resumes and match them with job posting requirements;
  • take into account the key skills, experience, education and hidden patterns of successful candidates;
  • create a priority shortlist based on specified criteria;
  • offer reasoned recommendations to HR specialists.

The solution was integrated into the client's existing ATS system and adapted to its corporate candidate assessment standards.

Result
  • Increased HR department productivity by 53%.
  • Save up to 15 hours per week per specialist.
  • Reduce response times and speed up the hiring cycle.
  • Improving the quality of selection through uniform assessment standards.

The solution is scalable and can be adapted to various job levels – from mass recruitment to top management.

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Automate your sales funnel with an AI assistant

Client

A company with active lead generation received dozens of inquiries daily from its website, advertising, and email campaigns. Sales managers were unable to process all incoming inquiries promptly, leading to a loss of interest from potential clients and a decline in conversion. A particular problem was the lack of lead prequalification and delays in responses outside of business hours.

What was done

We have implemented an AI assistant that:

  • automatically processes incoming requests from the website, email, forms, and instant messengers,
  • conducts initial qualification of the lead (according to ICP criteria: budget, need, industry, urgency),
  • initiates initial communication, asks clarifying questions and offers demo slots,
  • Transfers warm and ready to talk clients directly to the manager in the CRM.

The AI solution operates 24/7 and adapts to the specifics of the product, segment, and language of communication.

Result
  • Increase conversion of leads into qualified appointments by 20%
  • Processing of incoming applications without days off and breaks (24/7)
  • Reduce the workload on the sales team and improve response time to requests
  • Aligning the quality of communication at the first stage, regardless of the time of day or entry channel

The result was not only improved conversion but also increased customer satisfaction due to immediate response and a personalized approach.

C

Intelligent knowledge base for call center operators

Client

A company with a large contact center handling thousands of requests per day often encountered difficulties quickly finding the information they needed, including regulations, instructions, and response scripts. This increased the overall request handling time (AHT) and decreased customer satisfaction.

What was done

We have developed and implemented an intelligent knowledge base search system, including:

  • unification of disparate documentation into a single structured database,
  • implementation of an AI mechanism for contextual search with understanding of operator queries (semantic search),
  • setting up automatic database updates and displaying the most relevant answers in real time,
  • integration with the operator interface to minimize switching between systems.

The system takes into account the context of the dialogue with the client and offers relevant articles, scripts, and instructions based on keywords and semantic correspondence.

Result
  • Reducing the application handling time (AHT) by 25%
  • Accelerate access to the information you need – saving 40% of your search time
  • Reducing the number of internal escalations
  • Increased accuracy and quality of information provided to the client

The solution is scalable and can be adapted to different industries and support formats (including chat and email).

Let's find a solution
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