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Product Studio · AI Agents

AI agents that
do the work.

Auragenic Solutions builds AI agents that take real actions: reading documents, updating CRMs, calling leads, reconciling finance data and coordinating with other agents. Built with LangGraph, GPT-4 and Claude, with guardrails and logs so you can trust what they do.

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Use cases

Where it pays off.

  • 01Multi-agent assistants that manage email, calendar, files and budgets
  • 02Finance agents for reconciliation, reporting and fraud checks
  • 03Sales agents that qualify and follow up with leads
  • 04Research agents that search, summarise and cite sources
  • 05Support agents that resolve tickets and escalate when needed
  • 06Operations agents that monitor systems and trigger actions
How we build it

From idea to production.

01

Define the job

What the agent should do, which tools it can use and where a human signs off.

02

Connect the tools

APIs for your CRM, email, drive, databases and internal systems.

03

Add guardrails

Permissions, fallbacks, retries and a full audit log.

04

Measure & improve

Track task success and keep tuning prompts and flows.

LangGraphLangChainOpenAI / AnthropicVector databasesFastAPI
FAQ

Questions we get a lot.

What's the difference between a chatbot and an AI agent?

A chatbot answers questions. An agent can also take actions: send emails, update records, call APIs and complete multi-step tasks.

Is it safe to let AI take actions?

We design agents with limited permissions, human approval for sensitive steps and a log of every action.

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Got an idea?
Let's build it.

Tell us what you're trying to launch or grow. We'll reply within one working day with a clear plan and a price.