Why Most AI Solutions Fail in Real Business — and Ours Don’t

Because we don’t rely on one “smart” bot. We engineer a system of specialized AI agents with clear responsibilities, strict boundaries, and predictable outcomes.
A standard AI is a single, general-purpose agent that tries to do everything at once:
  • communicate with clients,
  • answer questions,
  • make decisions,
  • work with databases,
  • record data in the CRM.

In real business environments, this leads to systemic problems:
  • the AI starts guessing and hallucinating,
  • errors are difficult to trace and reproduce,
  • incorrect data enters the CRM and distorts sales and analytics.

This is not a matter of “fine-tuning.” It is an architectural limitation of general-purpose AI solutions.

Why instructions don’t solve the problem

It often seems that the issue can be fixed by “describing the task better.”
But AI is not a human. It is a very fast and efficient, but not particularly smart employee.

AI performs well when:
  • it has a single task,
  • instructions are unambiguous,
  • constraints are clearly defined.

When one AI is assigned multiple roles at once — salesperson, consultant, analyst, and CRM operator — it inevitably loses context and starts filling the gaps with assumptions.

Attempts to fix this by endlessly rewriting prompts usually make things worse: prompts grow, contradictions appear, and the quality of the AI’s output degrades.

This is the practical limit of a single universal agent.

Our approach

We do not use one “smart” AI. Instead, we break the process into several specialized agents — an AI orchestration — where each agent is responsible for one clearly defined function.

For example:
  • lead qualification,
  • answers to typical questions,
  • working with the product or pricing database,
  • recording and updating data in the CRM.

Each agent has its own instructions and a strictly limited area of responsibility.

As a result, AI stops being an experimental toy and becomes a managed business tool.

From the client’s perspective, it still feels like they are communicating with one accurate and reliable AI assistant.

How the cost of a solution is determined

We calculate pricing based on actual implementation effort, not assumptions.

1. Number of AI agents
Each agent has its own logic and configuration. More functions require more agents.

2. Database complexity
We account for:
  • simple vs. complex structures,
  • multiple related tables,
  • vectorization,
  • SQL-level selection and calculations.

3. Kommo CRM integration
Effort depends on the number of system actions:
  • creating/updating contacts,
  • creating/updating deals,
  • moving deals through stages,
  • recording notes and tasks.
Each action is a separate technical block that requires setup and testing.

4. Mandatory testing
AI cannot be “turned on and forgotten.” We invest time in:
  • diagnostics of agent behavior,
  • identifying and fixing logic errors,
  • eliminating hallucinations.

What does NOT affect the price

The following are already included:
  • support for any language,
  • support for any messenger connected to Kommo,
  • unlimited request volume.
These factors do not increase complexity or cost.

How to estimate your project cost

Pricing is a one-time setup cost for a turnkey AI agent.
  • Simple client Q&A: ~ $500
  • Responding + recording data in CRM: $1,200–$1,500
  • Full process automation: from $2,000

Examples

Q&A technical support agent
Task: Answer typical customer questions about your product.

Includes:
  • one AI agent,
  • vector or simple knowledge base (unlimited size),
  • communication inside Kommo,
  • communication via any messenger,
  • multilingual support,
  • knowledge base updates via Google Drive.
Price:$495
Order such an agent
Car rental AI agent
Task: Select an available vehicle based on client requirements, confirm consent, and move the deal to the correct stage in Kommo CRM.

Includes:
  • сomplex multi-level logic,
  • dialogue agent (qualification, Q&A, data collection),
  • database query agent (pricing and availability),
  • sales agent (offer discussion and proposal formation),
  • vehicle availability database,
  • pricing database,
  • CRM data recording (10–15 fields),
  • notifications for human staff,
  • document verification from uploaded images,
  • database updates via Google Drive.
Price:$2,900
Order such an agent

Bottom line for business owners

Standard AI tools are useful for:
  • experimentation,
  • exploration,
  • understanding what AI can do.

But in real business they:
  • behave inconsistently,
  • require constant human supervision.

Our solution delivers:
  • autonomous operation,
  • precision,
  • controllability,
  • predictability.

This is not marketing or magic. It is an engineering approach to sales and data workflows.

If AI is part of your business process, it should generate revenue, not silently break your system from the inside.