Custom hierarchical agent systems designed around your processes: an orchestrator, specialist agents, your APIs, MCP servers and typed tools. Built for your processes, not a subscription to someone else's agents.
Every engagement starts from a real process and ends with an agent team your company owns, not a slide deck and not a subscription.
We turn a real process into agent roles: an orchestrator that plans and routes, specialist agents with a bounded job, and explicit limits on what each one may do.
We write the agents, the typed tools they call and the skills that carry your procedures, then take the team into production one capability at a time.
We connect the team to the systems you already run, through your APIs and through MCP servers that expose only what each agent is allowed to touch.
A live agent team is not a finished project. We keep it working as your processes change, as models change and as the systems around it change.
A central orchestrator routes work to specialist agents with bounded scope, so systems stay explainable and easy to extend.
Model Context Protocol servers and well-specified tool contracts that give agents safe, auditable access to your systems and data.
Repeatable expertise packaged as versioned, tested skills and instructions, so agents follow your procedure instead of improvising it each time.
Ingestion, chunking, retrieval and grounding so agents answer from your documents and databases, not from memory.
Test sets, evals, permission boundaries and human checkpoints that let you trust what the system does on its own.
Secure, cost-aware foundations on AWS and Google Cloud: identity, networking, data stores, model access and observability.
APIs, CRM/ERP, ticketing, messaging and internal tools connected with auth, retries and idempotency, so the team acts where work already happens.
Token budgets, model routing, caching and monitoring so running the system costs less than the work it replaces.
This is what one of our agent teams looks like while it runs: the orchestrator plans, specialist agents execute through typed tools, and people decide only where it matters.
Pick a run on the left. Every step is an agent, a typed tool call through MCP, or a human decision, and the orchestrator waits where it should.
Nothing is bent to fit a product someone else designed. The agent roles follow how your work actually runs.
Repetitive steps move to agents that run around the clock; people handle exceptions and the decisions that need judgment.
Evaluations, model updates and new tools keep the team working as your processes and the models around it change.
We sit with the people who do the work, map the flow, and separate the steps that need judgment from the ones that do not.
Roles, scope and authority for each agent, the tools and MCP servers they call, the data they see, and the points where a person decides.
Agents, typed tools, skills and MCP servers written and wired into your APIs, shipped agent by agent so value lands early and risk stays contained.
Monitoring, documentation and training, then regular maintenance: evaluations, model and API updates, and new capabilities as the scope grows.
We start with a Solution Consultation call and a short discovery phase where we map one real process with the people who run it. From that we design the agent team: which specialist agents exist, what each one is allowed to do, which tools and MCP servers they call, and where a person decides. If it is worth building, we build it agent by agent, with evaluations and human checkpoints, and then keep it running. A first agent team typically goes live in weeks, not months.
No. We do not connect you to someone else's ready-made agents or a generic subscription. Every agent team we build is designed around your processes, your data and your systems, and the prompts, tools, skills and integrations belong to you.
There is no price list and no packages. After discovery we propose a fixed-scope phase with a clear deliverable and price, so you decide phase by phase. Maintenance is agreed separately once a system is live.
We design for the models companies already use: Claude, ChatGPT, Gemini, Kimi, DeepSeek, Mistral, Llama, Qwen and Grok. Architectures are model-agnostic where possible, with routing so each task uses the cheapest model that meets the quality bar. Cloud foundations run on AWS or Google Cloud, in your own account.
A central orchestrator (the hub) plans, routes and verifies work, while specialist agents, MCP tool servers, data sources and human reviewers (the spokes) each do one bounded job. Every edge is a typed tool contract with explicit permissions and logging. It keeps the team explainable, testable and easy to extend: adding a capability means adding a spoke, not rewriting the system.
A running agent team needs care. We keep evaluation sets current as the process changes, run regression checks when a model or an API is updated, add tools and skills as scope grows, and monitor cost, latency and failures. Changes are reported on a regular cadence so you always know what the team does today.
Agents never get raw access. They act through MCP servers and typed tools with scoped permissions, every call is logged, and steps with real risk (posting an invoice, sending a customer reply, creating a vendor) wait for human approval. Data stays in your cloud account; we design retrieval so agents answer from your documents instead of memorising them.
JustDukkan, LLC is registered in Delaware, USA and works remotely with companies internationally, in English and Turkish.
No packages, no price list. We look at your process, design the agent team it needs, and decide together whether it is worth building.
Tell us about the process in a few lines and we will get back to you as soon as possible.