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EREBUNITECHNOLOGIES

Service

AI agent development and workflow automation

AI agents take on multi-step work that used to need a person at every step: reading documents, looking things up in your systems, making a decision and taking the next action. We design and build agents that do this reliably inside your existing tools.

Every agent we ship comes with evaluations, guardrails and clear points where a person reviews or approves the work, so automation stays accountable.

Where it helps

  • Document intake: reading invoices, contracts or forms and entering the data where it belongs
  • Back-office reconciliation and exception handling
  • Research and reporting that pulls from several internal systems
  • Drafting replies, tickets and updates for a person to approve

What we build

  • Tool-using agents

    Agents connected to your APIs, databases and SaaS tools, with scoped permissions for each action.

  • Workflow orchestration

    Multi-step and multi-agent workflows with retries, queues and handoffs between agents and people.

  • Evaluations and guardrails

    Test suites that measure accuracy before launch, plus runtime checks that stop unsafe or off-policy actions.

  • Human-in-the-loop review

    Approval steps and review queues for decisions that need a person, with full audit trails.

  • Monitoring and cost control

    Dashboards for quality, latency and spend, with alerts when an agent drifts.

How we deliver

  1. 01

    Discover

    We map your workflows, data and constraints to find the highest-leverage AI opportunities.

  2. 02

    Prototype

    Within weeks you get a working prototype tested against real data and a clear evaluation baseline.

  3. 03

    Engineer

    We harden the system: security, evals, observability and a UX your team actually wants to use.

  4. 04

    Scale

    We ship to production, monitor quality and costs, and keep improving as models evolve.

AI Agents & Automation: common questions

What is the difference between an AI agent and a chatbot?

A chatbot answers questions. An agent completes tasks: it plans steps, calls your tools and systems, checks its own results and hands off to a person when needed.

How do you keep AI agents from making costly mistakes?

We limit what each agent is allowed to do, test it against realistic cases before launch, add runtime guardrails, and require human approval for high-impact actions.

Can agents work with our existing software?

Yes. We connect agents to your existing APIs, databases and SaaS tools rather than asking you to replace them.

Let's talk about ai agents & automation

Tell us what you want to build. We reply within one business day with honest advice and next steps.