AI PDP personalization
"Similar products" and "frequently bought with" powered by embedding search. KPI: +8–15% PDP conversion, +5–10% AOV.
Expected outcome: +10–15% revenue from traffic (EComposer, 2025)
Service · AI Pilot - AI we're accountable for — in revenue, not slides
80% of AI projects never reach production — Gartner (2025) forecasts cancellation of more than 40% of agentic AI initiatives by 2027. The problem isn't the model, it's the framing: when a KPI isn't written into the contract, "deployment" turns into a demo no one uses. We do it differently — we tie part of the fee to outcome.
Format - How the pilot works
6–8 weeks. Part of the fee is fixed, part is a KPI bonus you only pay when the metric is hit. Week 1 — discovery and picking the business process with the fastest ROI. Weeks 2–8 — production rollout, before/after metric, a board‑ready report.
- Week 1: discovery and process selection. Review product analytics, funnel, support logs. Pick the candidate with the highest AI lift and the lowest integration risk.
- Weeks 2–5: implementation. Architecture, integration with your data layer, staging pilot, load test. Model choice — open‑source (Llama, Mistral, Qwen) or API (Claude, GPT) — based on compliance and budget.
- Week 6: gradual rollout. A/B test on 10% of traffic vs a control group. Scale to 100% as KPIs confirm.
- Weeks 7–8: audit and handoff. Measurable ROI report. Documentation, runbook, knowledge transfer to your team. Next — either a retainer for follow‑on pilots, or open‑core handoff.
Ready‑to‑ship SKUs - The four AI modules we ship most often
These are our stock SKUs — we know the integrations, we know the metrics, we know the support cost. Pick one turnkey or build a combo.
Semantic catalog search
Elasticsearch + reranker — search by intent, not keywords. "Warm winter jacket" retrieves down parkas. KPI: zero‑result share → 0, search CR +20%.
Expected outcome: Recovers ~30% of missed demand
Admin copilot for content managers
AI assistant inside Bitrix admin: generate descriptions, SEO copy, bulk update cards. KPI: −60% time to onboard an SKU, −40% manual load.
Expected outcome: Saves 4.4 hrs/week per engineer (getdx, 2025)
Chatbot with CRM escalation
First‑line support on RAG over FAQ and knowledge base. Scenario‑driven escalation into amoCRM/Bitrix24. KPI: self‑service 60%+, first reply <30s.
Expected outcome: −35% support workload
Why clients trust us - Compliance — the cliff most AI shops fall off
AI builders don't sign DPAs and don't work with GDPR / 152‑FZ. Large integrators do — but they charge $200K+. We include compliance in the pilot price because enterprise customers need it on day one, not as an upsell.
- DPA and regulatory coverage. We sign Data Processing Agreements. PII can stay inside your jurisdiction or on‑prem. Optional FSTEC‑certified infrastructure for RU, equivalents elsewhere.
- Open‑source models when it matters. Llama 3, Qwen, Mistral — deployed on your or our infra. No outbound calls to OpenAI / Anthropic if your regulator says no.
- Observability and guardrails. Prompt logging, hallucination detection, rate limits, custom filters. No "AI went rogue and issued a 99% discount" stories.
Ready to pay for AI outcome, not billable hours?
Tell us about the business process and the metric. We'll come back with a KPI contract proposal within 48 hours.
What else helps - Nearby materials and services
Tell us about your project
Our offices
- Russia
Saint Petersburg, Rizhskaya st. 5, bldg. 1, office 402
+7 (967) 555-90-32 - Kazakhstan
Almaty
+7 (707) 340-29-12