Custom agentic AI systems
AI agents that actually run your processes — reading documents, making tool-backed decisions, acting inside your systems — under human supervision and with full traceability.
Custom agentic AI systems in detail
An agent is not a chatbot: it chains steps, calls your tools and produces an effect inside your systems. OCEAN SOFT designs these agentic systems to order — document extraction and checking, reconciliation, case preparation, follow-ups, cross-application orchestration. We start from a measurable process, we bound what the agent is allowed to do, and we instrument every run: each action traced, each source cited, human escalation whenever confidence falls short. The goal is not the demo but the automation rate actually observed in production.
What this offering covers
Tool-equipped agents: controlled access to your ERP, CRM, APIs and document stores
Explicit guardrails: bounded scope of action, human validation, escalation thresholds
End-to-end traceability: every action and every source is logged
Steered by measurement: automation rate, error rate, cost per processed item
Frequently asked questions
How does this differ from a plain conversational assistant?
An assistant answers; an agent acts. It chains steps, calls your business tools and changes the state of your systems. That demands a far stricter frame: bounded scope of action, explicit permissions, logging of every operation, and a human validation point.
How do you prevent an agent from taking an unwanted action?
The agent can only reach the tools we declare to it, with explicit permissions. Sensitive operations go through human validation, and a confidence threshold triggers escalation. Every run is logged, hence auditable and replayable.
Is our data used to train third-party models?
No. We favour architectures where your data stays within your perimeter, with no reuse for training third-party models. Personal data processing is governed by Tunisian law 2004-63 (INPDP) and by the GDPR whenever people in the European Union are concerned.