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Custom AI Systems

Custom AI Agents & LLM Systems

Tailor-made LLM applications, RAG systems, and AI agents for real organizational workflows.

Move beyond generic chatbots with AI systems that retrieve trusted knowledge, use approved tools, automate repeatable steps, support customer service and internal teams, and keep human control where it matters.

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Retrieval-augmented generation over trusted organizational knowledge
Tool-using agents connected to business systems and workflows
Fine-tuned models where behavior, routing, or extraction needs consistency
Evaluation, logging, guardrails, and human-in-the-loop controls

Where it fits

Digitrans designs and builds custom AI agents and LLM systems around your documents, tools, permissions, processes, and governance requirements, using RAG, tool use, workflow integrations, and fine-tuning where it creates real value.

  • Customer service agents grounded in product, policy, and account knowledge
  • Internal knowledge assistants for employees, support teams, and operations
  • Document intake, triage, drafting, reporting, and workflow automation
  • Domain-specific copilots that combine retrieval, fine-tuning, and tool access

Business outcome

AI agents and LLM systems that are designed around your work, not around a generic prompt box.

Deployment options

  • Managed cloud integrations for fast rollout and strong model capability
  • Private cloud or EU-hosted setups where data control and residency matter
  • Local, on-premise, or hybrid model paths for sensitive workflows

Built around your workflow

The starting point is not the model name. It is the workflow: the inputs, decisions, systems, approvals, exceptions, and handoffs that determine whether AI can actually help.

  • Process discovery and use-case selection
  • Workflow-specific agent design
  • Integration with existing tools, APIs, documents, and knowledge bases

RAG, tools, and fine-tuning

Custom LLM systems work best when each technique is used for the right reason. Retrieval grounds the answer, tools let the system act, and fine-tuning shapes behavior when there is enough data and a clear objective.

  • RAG over curated internal knowledge
  • Tool calling and agent orchestration
  • Fine-tuned models for classification, extraction, routing, tone, or repeated task patterns

Operational control

AI systems need clear boundaries before they touch real work. Digitrans designs for permissions, observability, evaluation, fallback behavior, and human review from the beginning.

  • Access control and source visibility
  • Evaluation sets and regression checks
  • Audit logs, approvals, escalation, and safe rollout paths

Where it can help

The same architecture can support external customer service, internal helpdesks, document-heavy processes, sales support, compliance guidance, technical support, and recurring operations work.

  • Customer service and support automation
  • Employee knowledge assistants
  • Document triage, drafting, and reporting workflows

Read the founder note

The article explains why Digitrans built Custom AI Agents & LLM Systems, what problem it solves, and how the workflow is designed.

Read the article

Explore Custom AI Agents & LLM Systems with Digitrans

Discuss the workflow, controls, integration needs, and rollout model before committing to implementation.

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