When it makes sense
- Manual, repetitive processes that consume your team's hours
- AI prototypes (RAG, agents) that never make it out of proof-of-concept into production
- AI spend (tokens, models) growing with no visibility
- Recurring incidents and low operational predictability
What I do
- Process automation with n8n and intelligent workflows: classification, triage and document analysis
- RAG pipelines with embeddings and vector search (pgvector, Pinecone)
- AI agents integrated with Slack, Datadog and internal systems
- LLM integration (OpenAI, Anthropic, Gemini or open source models), with model routing, caching and cost control (AI FinOps)
Deliverables
- Process mapping and an estimate of hours saved
- Production implementation, with observability
- Documentation and handover to your team
Starter package
AI Automation Sprint
- Scope
- One operational process and up to two integrations with available APIs.
- Timeline
- Up to 10 business days
- Deliverable
- Working flow, error handling, documentation and a walkthrough.
- What I need from you
- Access to the systems and APIs involved. Licenses and API usage are paid by the client.
- Not included
- Systems without an API
- Building complete systems
- Ongoing support
- How to hire
- Priced by proposal, after the scope is confirmed. Timelines count from receiving the access, information and materials needed. Request a proposal with the button below or the contacts at the end of the page. Request a proposal for this package
Which processes still eat up your team's hours?
We map where AI and automation can take over repetitive work and estimate the hours saved before any implementation.
consultoria@robertasoliman.com
A first conversation to understand the context and assess whether it makes sense to work together.