AI Audit and Implementation Strategy
What's included
We conduct AI business audits: pinpointing AI application points, technical site audits, and creating a digitization roadmap with priorities and ROI.
Core Standards
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Data collection
Sites, marketplaces, APIs.
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Price monitoring
Competitor prices on time.
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Cleaning (ETL)
Clean data for analysis.
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BI dashboards
Metrics in real time.
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AI analysis
Forecasts and anomalies.
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Auto reports
Reports on schedule.
How we work
We work transparently and step by step — you always know where the project stands and what comes next. Each stage ends with sign-off, so there are no surprises at the finish.
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Business Process Audit
We find bottlenecks (copywriting, translation, order processing) where implementing AI delivers the highest ROI.
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AI Pipeline Design
We design the architecture for interacting with LLMs (OpenAI, Gemini, Claude), accounting for data security and rate limits.
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Prompt Engineering
We craft system prompts. We tune the AI for high-quality, stable output without hallucinations.
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Technical Integration (API / MCP)
We embed AI directly into your systems (CMS, ERP, custom platforms) seamlessly for users.
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AI Launch & Monitoring
We test on real data. We set up logging and AI response quality monitoring so the system operates flawlessly.
FAQ
How long does it take? add
Typically 5–7 business days.
What are the deliverables? add
A list of recommendations with an assessment of their potential impact and implementation cost.
Do you provide implementation support? add
Yes, we offer comprehensive support throughout the entire implementation journey.