Solutions · 04

AI that does the work,
not just the talking.

Agentic systems that reason, plan, and take real actions across your tools, APIs, and workflows, with the guardrails to be trusted in production.

3–8 weeksmost requestedsee the whole system

A live chat with the GORBANI agent, a real AI assistant that answers questions about what GORBANI does, how engagements run, and whether your problem is a fit. Type a question and press enter. When the agent is offline it plays a scripted demonstration of agent runs instead.

Agents that reason, plan, and call your tools, operating safely inside your stack.

What this is

A chatbot answers questions. An agent finishes the job: it reads the ticket, checks the systems, drafts the fix, files the update, and knows when to hand back to a human.

We build agents around your actual workflows: connected to your tools through typed interfaces, constrained by permissions, and measured against an eval suite before they touch anything real.

The result is a system that clears work every day, with logs to prove it.

When you need this
Your team spends hours on multi-step work with the same shape every time
Support, ops, or back-office queues grow faster than headcount
You've tried a chatbot and hit the ceiling of what talking achieves
You want AI in the workflow but can't afford it acting unsupervised

What we actually do.

The work itself
  • 01
    Workflow & tool mapping

    We break the job into steps, decide which ones an agent should own, and define the tools it's allowed to call.

  • 02
    Agent development

    Reasoning loops, tool orchestration, memory, and human-in-the-loop checkpoints, engineered rather than prompt-hacked.

  • 03
    Eval harness

    A test suite of real cases the agent must pass before deployment, and keep passing after every change.

  • 04
    Guardrails & monitoring

    Permissions, rate limits, audit logs, and fallback paths. When the agent is unsure, it stops and asks.

How it runs
01Map the workflow

Find the steps worth automating and the ones that must stay human.

02Build & evaluate

The agent runs against real historical cases until the numbers earn trust.

03Deploy in stages

Shadow mode, then supervised, then autonomous, with monitoring at every stage.

What you get
  • Agent + tool definitions
  • Eval harness
  • Production deployment
  • Monitoring + guardrails
Timeline
3–8 weeks
Tooling we reach for
ClaudeGPTLangChainCrewAIMCP

We’ll tell you straight.

Fit check
A good fit if
  • High-volume, well-defined workflows
  • Teams with APIs, or a willingness to add them
  • Processes where a wrong action is recoverable
Not a fit if
  • Decisions with irreversible consequences and no human checkpoint
  • Workflows that change shape every single time
Where it connects

The best agents run on your platform, powered by your models.

05Custom Models02Scalable Softwarethe whole system
03Data Preparation05Custom Models

Start with
agentic ai.

Book a 20-minute call. We’ll tell you honestly whether this is the right starting point — or whether another door fits your problem better.

Book a call