AI Agents & Automation
Request SupportMulti-step agents for research, summarization, data pipelines, and tool use—LLMs that plan, act, and iterate instead of answering in one shot.
Why it matters
Many tasks need more than a single question and answer. AI agents use an LLM to decide what to do next: search, call an API, run code, or ask for clarification. They’re suited to research, report generation, data prep, and workflows that involve several steps and tools.
What we do
- Agent design – Define goals, available tools (search, APIs, databases, code), and guardrails so the agent stays on task and within safe boundaries.
- Orchestration – Implement the loop: plan → act → observe → repeat until the task is done or a limit is hit; we use frameworks (LangChain, custom, or your stack) that fit your environment.
- Tool integration – Connect the agent to your APIs, docs, and data sources so it can retrieve and transform real information.
- Safety and evaluation – Add checks for harmful or off-topic actions, and evaluate outputs so you can improve prompts and tools over time.
Who it’s for
Teams that have clear multi-step use cases (e.g. “research this topic and summarize,” “pull data from X and Y and produce a report”) and want an agent that uses your tools and data.
Next step
Describe the workflow you want to automate, what tools or data the agent should use, and any compliance or safety requirements. Request support and we’ll outline an agent design and implementation plan.