Your Agent.
Your Workflow. Your Competitive Edge.

Whatever your process or system — if it’s knowledge-intensive, repetitive, or decision-based, there’s a custom AI Agent waiting to be built.

The Opportunity

Not all tasks should be automated. But many of them — the structured, rule-heavy, repetitive ones — can and should be. These are the perfect candidates for your custom-built AI Agent.

Typical Use Cases for Custom Agents:

  • Internal Document Assistant – Finds answers across specs, policies, contracts

  • Data-Driven Support Bot – Answers based on your DB, not generic FAQs

  • Email & Inbox Agent – Summarizes, tags, and routes messages automatically

  • Workshop Assistant – Transcribes sessions, extracts action items, drafts docs

  • Project Intelligence Agent – Answers “When did we decide X?”, “What’s the current status?”

  • Role-Specific Advisors – For finance, procurement, onboarding, legal, etc.

  • What’s Your Idea?

How We Build Your Agent

We follow a proven, staged delivery approach:

Proof of Concept

~2 weeks for a first connection to your systems and demonstration of basic use cases of the later Agent.

Benefit: We know better the complexity and capabilities to expect later.

Minimal Viable Product

~2 months until the first usable version goes live with real users. Here we limit time and effort and adapt features accordingly.

Benefit: We collect user feedback early and know the real demand.

Enhancements

Iterative improvements, expanded capabilities, and UI/UX tuning

Typical Components of a Custom EONIQ Agent

Every agent is unique — but most share a core architecture. Here’s what a typical EONIQ Agent includes:

1. Understanding Layer (Input & Context)

  • Natural language interface (chat or form)
  • Contextual understanding based on role, intent, or workflow
  • Optional: Embedded directly into your system UI or messaging tools (e.g. Teams, Slack)

2. Knowledge Base / Data Sources

  • Ingested documents (PDFs, Wikis, Notion, Confluence, etc.)
  • Connected proprietary databases or APIs
  • Web search or external data enrichment

3. Agent Logic & Reasoning

  • Domain-specific prompt strategies
  • Internal rule sets or validation steps
  • Predefined workflows or action chains (e.g., “Check if X, then call Y API”) or
  • Autonomous planning and decision-making how to solve the task

4. Output Layer

  • Clean, short, human-readable responses
  • Structured data output (e.g. tables, summaries, recommendations)
  • Optional: Output in documents, test cases, emails, form entries, tickets

5. Integration & Actions

  • MCP Server Connections to Hundreds of Applications
  • REST API, Database queries
  • File generation (e.g. .docx, .json)
  • CRM, ERP, or project tool integration (e.g. Jira, Salesforce)

6. Controls & Guardrails

  • Access control based on role or user
  • Feedback mechanisms (approval workflows, rating agent output)
  • Logging for audit, versioning, and traceability
  • Safety guardrails to detect and block harmful or inappropriate input or output

Business Impact

  • Faster Processes – Agents automate routine steps, so your team can focus on exceptions

  • Knowledge On-Demand – Access answers without searching or waiting

  • Fewer Errors, Higher Quality – Agents follow your rules precisely — every time

  • Scalable Productivity – One agent supports many users across teams or departments

  • Tailored to Your Domain – Built for your tools, terminology, and logic — not generic answers

Have a Use Case in Mind? Let’s Design the Agent for It.