Zendata AI
ServicesThree lines of work: AI agents that run processes, knowledge agents on your documents, and AI training on real work. It starts with a 1–2 week assessment, a closed-scope project takes 6–12 weeks, and a production agent typically costs €15,000–35,000.
Looking for a partner on the ground? AI consultancy in Rome
01
End-to-end processes, not generic assistants
We design and ship agents that complete entire processes — from input to outcome — across HR, accounting, management control, coding, ESG, M&A, and public tenders.
We automate full workflows, not single tasks: clear ownership, controls, and audit-ready evidence.
02
Traceable answers on company knowledge
We build agents on your knowledge: documents, procedures, domain data. Answers cite sources; quality depends on corpus and retrieval — not magic.
Useful when AI “knows everything” in a demo and fails on real work because data isn’t ready or context is scattered.
03
Teams that use AI on real work
Practical paths on compliance, productivity, AI-assisted programming, and prompt engineering — so people work with AI, not just sit through slides.
BloomyLabs is Zendata’s platform for corporate and academic learning with personalized content, real-time insights, and IP protection: the project for which Google Cloud named us AI Startup of the Year 2025.
The starting point is the process, not the model. If your case is not in the table, the 1–2 week assessment is usually how we find out.
| Problem | Service | What we deliver |
|---|---|---|
| Invoices, customer requests or paperwork with exceptions that take hours of manual work | Operational AI agent | An agent in production integrated with your ERP, CRM or accounting system, with approvals on sensitive steps |
| People waste time looking for procedures, contracts and technical documents | Knowledge agent | An assistant that answers with cited sources, with permissions aligned to the documents’ own |
| An AI pilot works in a demo but never reached production | Operational AI agent | Review of data, permissions and controls, then production rollout with monitoring and metrics |
| The team uses ChatGPT or Copilot with no rules and no method | AI training | A hands-on programme on the team’s real processes, a usage policy and less Shadow AI |
| You need to prove compliance (AI Act, GDPR, client audits) on an AI system | Agent or knowledge agent with evidence pack | Audit trail, logs, technical documentation and, where needed, on-prem deployment |
Fields filled only with verifiable information. Where we do not yet have publishable first-party data we say so instead of inventing it.
01
We start from a process with a clear owner, volume, and risk — not from a model to try out.
02
We map knowledge, controls, and integrations. Only then do we choose stack and agent architecture.
03
We ship to production with evidence, monitoring, and ownership of the outcome — not an abandoned PoC.
Where needed we design evidence packs, audit trails, and on-prem deployment. We treat the EU AI Act and GDPR as project constraints: operational guidance, not legal advice.
A PoC typically costs €3,000–8,000, a production agent €15,000–35,000, and €35,000–60,000 with ERP/CRM integrations and system actions, plus recurring fees for models, cloud and maintenance. Price is driven by permissions and data quality.
The initial assessment takes 1–2 weeks; a closed-scope project 6–12 weeks. With several systems to integrate and write actions it can take 3–6 months.
A knowledge agent reads and answers on your documents with cited sources. An operational agent also executes steps on your systems (updates a record, drafts an entry, opens a ticket) within defined permissions and with approval where needed.
No. We design and build software on processes; the model is a project choice. If a licence is all you need, we tell you in the assessment.
No. We are based in Rome, but we work with companies across Italy and with international teams.
Tell us the case. We reply from info@zendata.it.