RAG
company knowledge access
The published configurable receptionist uses company-specific knowledge for customer answers.
Service
A technical partner for the AI systems your business needs next.
We start with the business goal, audit the opportunity, and stay involved as the right AI system is planned, built, and improved. This is personal technical guidance and long-term support—not a generic agent package.
Built for: For teams that want an experienced technical partner to connect AI work directly to a commercial or operational goal, rather than buying a one-off bot.
5
CRM and booking integrations
A published architecture unified five live CRM and calendar integrations.
16
inboxes unified
The routing pattern also has an on-premise local-LLM option for sensitive email.
Starting package
From $3k/mo
Strategy, build, and long-term support for your AI goals.
Included
- Technical audit and goals roadmap included in onboarding
- One senior technical partner from build through support
- Move faster without hiring a full in-house AI team
Optional add-ons
- Lead generation, inbound, and outbound systems
- Sales-call analytics, coaching, and CRM insights
- Pipeline, follow-up, and sales-department automation
- Corporate knowledge bases, internal tools, and customer-facing SaaS
We define the goals, first delivery plan, and ongoing support rhythm together.
Client recommendation
“Last year we worked on an AI-based calorie and macros tracking project Yastvo AI. At some point we realized we needed to add a nutritionist chat, so users could get recommendations and close specific questions inside the product. I brought Said Azizov in as the ML specialist. I already knew him from a couple of projects he had been part of. He got involved fast, went through the docs, collected all requirements, and designed a multi-agent system tailored to our case. During implementation he also built an n8n prototype and guided our team while we were shipping this feature. I’m really glad I chose Said. We delivered the functionality, and I’m genuinely happy I reached out to him.”
What the system does
Useful automation, connected to the people who act on it.
Start with the business goal
Audit the opportunity, define what success looks like, and choose the AI work most likely to move the business forward.
Build across growth and operations
Support lead generation, inbound and outbound workflows, sales-department call analytics, CRM insights, corporate knowledge bases, internal tools, or a customer-facing SaaS product.
Stay involved after launch
Provide practical technical guidance, iteration, and long-term support as the system, team, and business priorities evolve.
How it gets built
Start with the operating problem, then earn the automation.
- 01
Audit the opportunity
Map the goal, current process, constraints, and the highest-value technical move.
- 02
Set the delivery plan
Choose the right system, data, integrations, and milestones instead of forcing a pre-set solution.
- 03
Build and connect
Implement the product, workflow, knowledge base, CRM layer, or internal tooling where the work already happens.
- 04
Support and improve
Stay close to the system after launch, using real feedback and business priorities to guide the next iteration.
Deployment evidence
Relevant systems, with the limits stated plainly.
AI software · Confidential startup
A multi-agent AI receptionist built to work across CRM and booking systems.
A configurable foundation for an AI receptionist across amoCRM, Bitrix24, YClients, Google Calendar, and Yandex Calendar, plus settings interfaces and a simplified codebase.
5CRM and booking integrations
~6Klines removed
Construction materials · Stroyassortiment
How an AI inbox router connected 16 manufacturing inboxes in two weeks.
The deployment connected 16 inboxes, processed 1,123 emails at an average routing time of 1.2 seconds, and replaced manual department-by-department triage with structured routing.
16inboxes unified
1,123emails processed
Quick answers
Questions teams ask before they build.
What does a tech partnership include?
It starts with the goal and opportunity audit, then provides technical direction, delivery support, and ongoing iteration for the AI systems that matter to the business.
What can we work on together?
The work can cover lead generation, inbound and outbound workflows, sales-department call analytics and coaching, CRM insights, pipeline and follow-up automation, corporate knowledge bases, internal tools, customer-facing AI, or a SaaS product.
Do you stay involved after the first launch?
Yes. The partnership is designed for ongoing technical guidance and support as the system, business process, and priorities evolve.