AI & Data
AI & Automation for commerce and operations
We implement AI agents, internal copilots and LLM-based automations that move real metrics — conversion, AOV, response times, productivity. We use Claude, OpenAI, open models and Adobe Sensei depending on the business case.
Cases where AI makes a difference
We focus on uses where return is measurable in 60-90 days. We skip the ones that sound great but don't move the needle.
- Conversational shopping assistants with catalog context
- Automated product description generation
- PIM enrichment: tags, categories, attributes
- First-level support with human handoff
- Automatic ticket summarization and categorization
- Real-time personalization (offers, banners, search)
Agents and internal copilots
We automate repetitive work — not to replace your team, but to let them focus on value work. Specific copilots for marketing, merchandising, operations or customer service.
- Internal copilots with RAG over your docs and data
- Agents orchestrating steps across systems (ERP, PIM, Commerce)
- Marketing team assistants (briefs, copy, segmentation)
- Report automation and smart alerts
- Integration with Slack, Teams and internal tools
- Guardrails, logging and observability by design
Stack and models
We're not vendor-loyal. We pick the model per task: Claude for reasoning and code, OpenAI for certain workflows, open models (Llama, Mistral) for specific self-hosted tasks, Adobe Sensei integrated to Experience Cloud.
- Anthropic Claude (Opus, Sonnet, Haiku)
- OpenAI GPT and embedding models
- Self-hosted open models when privacy requires it
- Vector stores (pgvector, Pinecone, Weaviate)
- Orchestration with LangGraph, custom or Bedrock Agents
- Adobe Sensei / Sensei GenAI integrated with Experience Cloud
Responsibility and cost under control
AI without controls is risk. We design evaluations, guardrails and cost monitoring from the first prototype.
- Automated evals before each release
- Prompt caching and token optimization
- Deterministic fallbacks when the model fails
- PII detection and redaction before sending to LLMs
- Cost and latency dashboards per flow
- Usage policies aligned to client compliance
Frequently asked questions
Which model do you recommend by default?
What if my data is sensitive and I can't send it to a public LLM?
How much does a copilot or agent cost to run?
Related services
Adobe Sensei (AI in Experience Cloud)
Adobe Sensei — transversal AI/ML layer across Experience Cloud: Smart Tags, Auto-Target, product recommendations, smart crop, GenStudio. Practical implementation on commerce cases.
Learn more →Data Engineering & Integrations
APIs, middleware, ETL and sync across Adobe Commerce, ERPs, WMS, PIM, CRM and data warehouses. Data architecture for real-time decisions.
Learn more →Custom software development
Custom modules, microservices, APIs and extensions for Adobe Commerce or standalone stacks — built in 2-week Scrum sprints with working deliverables.
Learn more →GenStudio for Performance Marketing
GenStudio — paid media creative generation with Sensei GenAI + Firefly. Scale variants with brand compliance, Meta, Google Ads, TikTok and paid social integration.
Learn more →Want to discuss your project?
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