AI should move business metrics—not just look impressive in a demo

We bring together product expertise, operational insight, and modern AI technology. First, we identify where the business is losing time, money, or quality. Then we design a solution around a clear outcome.

Less manual work

Automate repetitive knowledge work and internal processes.

Faster customer service

Build AI assistants, streamline support, and help employees prepare accurate responses faster.

AI-ready enterprise data

We turn fragmented documents and knowledge bases into a structured, secure foundation for search, RAG assistants, and AI agents.

New digital products

Design AI features, services, and user experiences for existing and new products.

From the first AI opportunity to full implementation

Start with training, an audit, or data readiness. Test the hypothesis in a pilot, then scale the solution after its value is proven.

01

AI Process Audit

We examine workflows, data, and existing systems to determine where AI can create measurable value—and where automation does not yet make business sense.

Outcome: An opportunity map, prioritized use cases, and a practical pilot plan.

02

Corporate AI Training

We deliver hands-on programs for executives, product teams, operations teams, and technology organizations.

Outcome: A practical understanding of AI, stronger internal capabilities, and a set of relevant use cases for your company.

03

AI Data Readiness

We turn fragmented documents, knowledge bases, and enterprise data into a secure, governed foundation for AI. We set up extraction, cleanup, deduplication, metadata, access controls, and retrieval quality checks.

Outcome: An AI-ready enterprise knowledge foundation for intelligent search, RAG assistants, and AI agents.

04

Digital Product Development

We help teams move from an idea and user research to a prototype, MVP, and working digital product.

Outcome: A validated value proposition, product concept, roadmap, and implemented solution.

05

AI Implementation

We build intelligent search, RAG assistants, copilots, customer and employee support tools, workflow automation, and agent-based solutions.

Outcome: An AI solution embedded in a real workflow and connected to business metrics.

HOW WE WORK

One approach. Four ways to start.

Choose the format that fits your challenge. Each path has its own process, but one goal: create measurable value for the business.

  1. 01

    Understand the business challenge

    We identify where the company is losing time, money, quality, or room to grow.

  2. 02

    Examine current processes

    We look at operations, data, systems, and constraints—without assuming AI belongs everywhere.

  3. 03

    Set priorities

    We surface scenarios with the strongest potential and assess value, feasibility, and risk.

  4. 04

    Define the action plan

    You get an opportunity map, prioritized use cases, and a clear next step: pilot, implementation, training, or deeper research.

A clear view of the opportunity and a realistic path to results.

We do not implement AI for AI’s sake

Outcomes over demos

Every engagement starts with a metric or workflow that needs to improve.

A focused pilot, not endless experimentation

We validate one clear use case before making a decision about scale.

Built into the workflow

AI creates value only when employees and customers actually use it in their day-to-day processes.

Your team keeps the knowledge

We transfer the methodology, train users, and avoid unnecessary vendor dependency.

Andrei Mishurin, founder of Cybermatter

Your project, led by the founder

For more than a decade, Andrei Mishurin has built and scaled digital products for tens of millions of users. His experience across Alfa-Bank, SberDevices, and his own ventures combines the rigor of complex organizations with the speed and accountability of entrepreneurship.

At Cybermatter, Andrei stays directly involved from diagnosis and prioritization through pilot and launch. Clients work with the person shaping the strategy, making the key product decisions, and ensuring the solution reflects user needs, operational reality, and measurable business value.

Talk to Andrei

Selected areas of expertise

  • AI and LLM products
  • conversational systems and customer support automation
  • enterprise search and knowledge management
  • digital banking and payment platforms
  • product strategy and solution architecture
  • leadership of cross-functional teams
  • taking products from concept to production

FAQ

Frequently Asked Questions

  • We start with a conversation about a specific business challenge. We review the current workflow, define the desired outcome, and recommend the right starting point: training, an audit, a pilot, or product development.

  • No. If your AI strategy is still taking shape, we can begin with an AI Opportunity Scan or an executive training session.

  • We combine consulting with implementation. We can audit the opportunity, design the solution, build a pilot, and support a full production rollout.

  • Not necessarily. We can work alongside your existing team or bring in the specialists required for a specific engagement.

  • Pricing depends on the business challenge, workflow and data scope, required integrations, and expected deliverables. After an initial discussion, you receive a proposal with a clearly defined scope.

  • We are based in Florida and work with organizations across the United States through on-site, remote, and hybrid engagements.

Is there a process your business could run faster and smarter?

Tell us where your business is losing time, quality, or opportunity. We will help you determine whether AI is the right fit and identify the most practical place to start.

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Cybermatter — AI Lab for Business Optimization