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Agentic AI Systems
Autonomous and supervised AI agents that plan and execute actions across tools and systems.
About Agentic AI Systems
Agentic AI systems, often called AI agents, are software in which a model plans a course of action and carries it out through the tools you grant it. Typical applications are processing a claim, reconciling records or resolving a support case. These systems are one of ByteForge's specializations. The engineering work concentrates at the boundary around the model: which tools it may call and what it must confirm before acting.
We design agents with explicit permissions, typed tool interfaces, human approval gates at consequential decisions and full tracing of every plan, call and result. We run every change to an agent against an evaluation set of realistic tasks. Our systems stay model-agnostic, running on hosted frontier models or on open-weight models on client infrastructure, behind an interface that allows substitution without re-engineering.
What you receive
- Agent architecture with permission and tool boundaries
- Production agents with human approval gates
- Task-level evaluation set
- Full action trace and audit trail
- Operational runbook for supervision and escalation
When to engage
Engage when a workflow requires software that decides and acts across systems under permissions the organization defines.
Agentic AI Systems case studies
Common questions about Agentic AI Systems
What is the difference between agentic AI and a chatbot?
A chatbot answers questions. An agentic AI system plans a course of action and carries it out through the tools it is granted, such as updating a record, calling a service or completing a task of several steps. Because it acts on real systems, its permissions and approvals matter as much as its answers.
How are AI agents kept under control?
Each agent works through typed tools, with permissions scoped to its task. Consequential actions wait for human approval, and every plan, tool call and result is traced. An evaluation set of realistic tasks, including attempts to exceed those permissions, runs on every change.
Can AI agents work with our existing systems?
Yes. Agents act through typed interfaces to your CRM, ERP, ticketing, document and data platforms, under your identity and access controls. Write access to an enterprise system is granted only after its permission model and action log have passed security review.
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Discuss this service on a call.
Describe the objective and the systems it affects, and we will outline how an engagement would proceed.