Knowledge and context
Answers rely on approved sources and current business data
AI assistants
AI assistants for sales, customer service, and internal operations
An AI assistant can interpret free-form requests, use approved company knowledge, perform permitted actions, and escalate complex cases to a person
System actions
CRM records, booking, routing, calculations, and documents
Quality control
Validation, logs, permissions, and human escalation
How the first phase works
We map the current process, define the source of truth, identify integrations and risks, and agree on acceptance criteria before committing to full development
- Current process map
- Focused use case
- Data and access rules
- Success metrics and fallback
What you receive
You receive working software, source code, configuration files without embedded secrets, tests, documentation, launch instructions, and a clear record of known limitations
Choose your next step
Start at the stage that matches your situation
You do not need a detailed brief to begin
See how the work is structured
Learn how we assess the process, business case, data security, and quality before development begins
Explore the methodology →Assess one business process
Determine whether the task calls for AI, rule-based automation, or a process redesign
Assess a process →Share a defined task
Send the current process, constraints, and expected outcome, and we will suggest a practical first step
Discuss your taskProject review
Relevant case: AI assistant for medical centers
Tell us what you want to improve
We will review the process, identify the main constraints, and suggest the smallest useful first step
What happens next
A specialist will review your description, ask one or two focused questions, and suggest a realistic first step. We usually respond within one business day and will not call unless we arrange it with you first
You will not need to repeat the full storyNo unsolicited callsNo passing you from one salesperson to another