Multi-agent AI systems for work too big for a single agent
Rinaztec builds multi-agent systems and agentic AI for businesses worldwide. Instead of one AI trying to do everything, a team of specialised agents splits the work: one plans, one researches, one drafts, one checks, and a coordinator decides what happens next. We use this for long workflows with many steps and systems, and we keep people in the loop wherever a decision carries risk.
- PRICING
- Fixed quote
- TIMELINE
- 6-10 weeks
What is a multi-agent system?
A multi-agent system is a set of AI agents, each with its own role, tools and instructions, that pass work between them under a coordinator. Splitting a job this way makes each agent simpler to test, lets one agent check another's output, and lets parts of the work run in parallel. Agentic AI is the wider term for AI that plans and acts toward a goal rather than replying to one prompt.
Where multi-agent systems earn their keep
Research and reporting
Agents gather data from several sources, cross-check it, draft a report and flag anything a reviewer should look at.
End-to-end case handling
An intake agent classifies a request, specialist agents handle each part, and a reviewer agent checks the result before it goes out.
Sales and outreach pipelines
Separate agents find prospects, research them, write personalised messages and track replies, with a person approving sends.
Software and data operations
Agents watch for issues, diagnose them, propose a fix and open a ticket with the evidence attached.
Content and compliance review
One agent drafts, another checks against your rules and sources, and only approved work is published.
What's included
- Workflow map showing each agent's role and hand-offs
- Coordinator logic with clear stop and escalation rules
- Tool access scoped per agent, with least privilege
- Human approval steps for risky actions
- Evaluation suite for each agent and for the whole flow
- Trace of every step so you can see why a result came out
- Cost controls and limits on model usage
How Multi-Agent System Development projects run
- 01
Workflow design (weeks 1-2)
We map the job, decide if it truly needs several agents, and define each role and its tools.
- 02
Agent by agent (weeks 2-6)
We build and test each agent on its own, so problems are caught where they start.
- 03
Orchestration (weeks 5-8)
We connect the agents under a coordinator, add approvals and run the full flow on real cases.
- 04
Launch and monitor
We go live with tracing and cost dashboards, and tune agents as the real work comes in.
How much does a multi-agent system cost?
Cost depends on the number of agents, the systems they connect to, the approval steps and how accurate the output must be. Multi-agent systems take longer to build and test than a single agent, so we only recommend one when the workflow needs it. Running costs are higher too, because several model calls happen per task, and we design limits to keep them predictable.
Why businesses choose Rinaztec
In-house engineers
The people on your call are the people writing your code. No outsourcing, no hand-offs.
Preview in week one
A working preview link early and weekly demos, so you always see real progress.
Fixed, honest quotes
You approve the plan and budget before we write code. No surprise invoices.
You own everything
Full source code, accounts in your name, no lock-in and no licence fees to us.
Multi-Agent System Development questions, answered
When do I need multiple agents instead of one?
When a job has distinct stages that need different tools or skills, when one step should check another, or when parts can run in parallel. If one well-designed agent can do the job, we build that instead, because it is cheaper and easier to run.
Which frameworks do you use?
We pick per project. That can be an established agent framework or a lighter custom orchestrator. What matters is that every step is traceable and testable, and that you are not locked into one vendor.
How do you stop agents going wrong?
Each agent has narrow permissions, every action is logged, a reviewer agent or a person checks risky output, and hard limits stop runaway loops and costs.
Can a multi-agent system use our internal systems?
Yes. Agents connect to your CRM, databases, document stores and APIs through scoped access we set up with your team.
How long does it take to build?
Most multi-agent systems take 6 to 10 weeks, with single agents working and testable from the first weeks.
Who owns the system?
You do: the code, prompts, evaluation tests and documentation.
Tell us what you want to build
A free 30-minute call with an engineer. We'll tell you what it takes, what it costs, and whether we're the right fit, even if we're not.