B2B SaaS

Automation for SaaS teams where lead qualification, CRM discipline, and reporting determine growth efficiency.

B2B SaaS teams lose momentum when leads sit unqualified, account data becomes inconsistent, or onboarding relies on manual follow-up. The goal here is to tighten the revenue operating layer without adding coordination overhead.

Typical friction points

Lead capture sources feeding the pipeline with inconsistent data and slow routing.

Sales and customer-success handoffs happening without structured triggers or ownership.

Leadership reporting depending on manual exports and fragmented CRM hygiene.

Suggested system layers

Lead enrichment, scoring, routing, and qualification logic

Pipeline follow-up sequences and sales notifications

Onboarding workflows across CRM, email, forms, and internal tools

Recurring KPI delivery and management reporting systems

Relevant proof direction: Relevant case-study direction: CRM sales automation that reduced manual workload while improving qualification speed and visibility.

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Relevant completed work

Matching case studies from the wider portfolio.

Each card below is selected for this route so buyers can see real completed work that reflects similar operating pressure, system complexity, and commercial outcomes.

B2B SaaS sales team

AI-Powered Sales Automation for CRM

Result achieved: Sales-manager workload dropped by 35 percent while qualification became 70 percent faster.

UNIDEX connected GPT-assisted deal analysis, routing logic, CRM enrichment, and alerting into one revenue-operations workflow so qualified opportunities could move faster with cleaner pipeline data.

Stack

Python, Django/DRF, FastAPI, Celery, Redis, PostgreSQL, OpenAI API, Bitrix24 REST API

Specialist

UNIDEX delivery team

Loyo & Bondar

AI lead qualification and sales automation

Result achieved: Primary request processing became 3 times faster and management recovered around 5 hours per week.

The delivery migrated business logic from no-code tooling into FastAPI and PostgreSQL, added meeting transcription and summarization, and unified sales communication through WhatsApp Business API.

Stack

Python, FastAPI, OpenAI API, PostgreSQL, Docker, WhatsApp Business API

Specialist

Евгений Кербецов

OpenDevsAI

SaaS AI orchestration and integrations platform

Result achieved: A new SaaS product was structured for high-load automation, LLM interaction, and multichannel business workflows.

The attached project materials show architecture planning from zero, Kafka-based service distribution, LLM chat flows, payment integrations, CRM connections, and WhatsApp, Instagram, and Telegram integrations for a commercial AI product.

Stack

Django/DRF, FastAPI, PostgreSQL, Redis, Kafka, Docker, Kubernetes, n8n, LLM

Specialist

Айдын Мамбетжанов