Agentic Workflows: AI Use Cases

Use this when: you're exploring advanced AI agent patterns with a client, or looking for concrete examples of autonomous and semi-autonomous AI workflows that go beyond simple chat interactions.

Quick wins

Multi-step research-to-deliverable workflows — Agent performs research, analyzes findings, and produces a formatted deliverable in a single workflow
Data pipeline workflows — Agent fetches data via connector, analyzes in a code environment, and posts results to a document system
Browser automation for portal tasks — Agent completes tasks in web portals that lack APIs (form submissions, data extraction, status checks)

Strategic opportunities

Running 4-10 concurrent agents — Multiple agents working in parallel on feature development, bug fixes, and documentation across a codebase
Self-modifying software agents — Agents that improve their own source code, prompts, or workflows based on performance feedback
WhatsApp-to-CLI integration — Conversational interfaces bridged to command-line tools for mobile-first workflows
Voice message transcription via emergent problem-solving — Agents that chain tools (FFMPEG, transcription APIs) to solve problems they weren't explicitly programmed for

Scenario: Research-to-slide-deck in one workflow A strategy consultant needs a competitive landscape analysis. They describe the scope in a prompt. The agent scans company websites, pulls recent news, retrieves internal market reports, runs comparative analysis, and produces a slide deck — all in a single agentic workflow. The consultant reviews and adjusts positioning in 30 minutes. Previously a 2-day task.

Scenario: Parallel agent development A tech lead has 8 well-specified stories in the backlog. They spin up agents for each: 4 on new features, 2 on bug fixes, 1 on test coverage improvement, 1 on documentation. Each agent works against a story with acceptance criteria. The lead reviews PRs, running CI against each. The team ships a full sprint's worth of work in 2 days.

Scenario: Portal automation for compliance A compliance team manually checks 15 regulatory websites weekly for updates. They build a browser automation agent that visits each site, identifies new postings, extracts relevant content, and generates a summary email. The team goes from reactive discovery to proactive monitoring.

Key patterns

These workflows build on core patterns documented in the toolkit:

Agent as Drafter — Agent produces, human reviews. The foundation for most agentic work.
Agent as Analyst — Human provides data, agent finds patterns. Core to research and data workflows.
Agent as Facilitator — Agent runs the process, human focuses on the conversation.
Review Loops — Critical skill for avoiding accepting bad first drafts from agents.

Artium's agentic approach

Artium is an OpenAI solutions partner — one of a select few US-based consultancies trusted to help OpenAI's most strategic customers build agentic applications in the real world. We also work across the AI ecosystem with Anthropic, Google, and Amazon.

Our methodologies for agentic development include:

LEAP (LLM Enhanced Agile Process) — Artium's method for leveraging LLMs for maximum productivity and developer enjoyment
APEX (Artium Product Explorer) — AI-powered ideation, roadmapping, and planning tool
Hop, Skip, Jump — "Idea to AI in 90 Days" framework for taking AI products from concept to production

For client examples of agentic systems in production, see Client Work. For our full service offerings, see Artium AI Services.

Pairing — human-AI pairing patterns
TDD — test-driven development with AI agents
CI/CD — continuous integration for agent-generated code
Claude tool guide — Claude Code for agentic engineering
Coding tool guide — tool recommendations for concurrent agent workflows
Continuous Alignment Techniques — evaluation framework for production agentic systems
Artium AI Services — Artium's full AI service offerings

Artium open-source repos

Agentic Patterns — LLM-agnostic library of multi-agent patterns (foundation, communication, orchestration) with a web-based Pattern Browser
Agentic Coding Setups — production agentic coding configurations from practitioners, including multi-tab TDD and planner patterns
Insight Extractor — meeting transcript to structured insights pipeline (Zoom -> AI -> Notion)
Feedback Facilitator — structured feedback collection with AI synthesis for prototypes and designs
Continuous Alignment Testing — automated testing framework for LLM-based applications
AI PM Learning Agent — Claude-powered Slack bot for PM practice knowledge