Custom AI Agent Development, From Single Agents to Multi-Agent Systems
Eicra is an AI agent development company in Dhaka that builds software agents to plan a task, call your tools and act inside your systems. Our agents work in your customer relationship management (CRM), enterprise resource planning (ERP) or helpdesk software. A person approves anything that matters, and every agent is tested on 20–50 of your real cases before launch.
Our engineers map one task with the people who do it today. Every step is documented, every exception is counted, and every automation option is costed in your own numbers.
You get a written verdict — single agent, multi-agent, workflow or nothing. If nothing in it justifies a build, you stop here.
Each AI agent project includes six deliverables: a written agent design, a working agent in your own accounts, a test set with an accuracy gate, guardrails with a human approval step, monitoring with a kill switch, and a runbook with admin handover. You receive a working agent and the controls that keep it safe, not a demo.
A written design: the task, the tools the agent may call, the data it may read, the decisions it may take alone and the ones it must hand to a person.
One agent for one job, built with supported APIs inside your hosting and your model account, so nothing depends on a platform we control.
Twenty to fifty real cases become the test set; the agent must pass an agreed accuracy gate before every release, with regression tests when prompts or models change.
Least-privilege access, approval gates for money, records and customer messages, and a log of every tool call and decision.
Alerts on failures and cost spikes, a per-run spend cap, and a switch that stops the agent within minutes.
Code, prompts, configuration, test set and runbook exported to you; team training; admin access transferred at handover.
Reads tickets, drafts replies, routes exceptions to a person.
Matches each invoice to its purchase order (PO), flags exceptions, waits for approval.
Qualifies leads, enriches them, books the follow-up.
Assigns work orders, updates your system, escalates when unsure.
AI agent development runs in five steps: a free 30-minute scoping call, a five-day diagnostic, a three-to-four-week pilot of one agent on real cases, a four-to-eight-week production build with guardrails and rollback, and optional Managed AI Ops after launch. Prefer to hire AI developers monthly instead? See our dedicated team option. Each step ends with a written result.
A first agent usually goes live in seven to thirteen weeks: a free scoping call or a five-day diagnostic, a three-to-four-week pilot judged on 20–50 of your real cases, then a four-to-eight-week production build with approval gates and a kill switch. Multi-agent systems take longer and are scoped after the pilot. Prices are on our pricing page.
AI orchestration is the coordination of several models, agents and tools in one workflow: a planner that splits the task, specialist agents that do each part, and a controller that checks results, retries failures and hands exceptions to a person. We build it only when one agent measurably cannot do the job.
1. Same steps every time?
2. Systems it touches
3. Reads free text or documents?
4. If one case goes wrong
5. Cases per month
Free text or judgement calls, but one job: a pilot in 3–4 weeks on 20–50 of your real cases.
Book a Diagnostic A first estimate; the diagnostic confirms it.
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| Your task | Our verdict | What happens next |
|---|---|---|
| Same steps, one or two systems, no free text | A workflow, not an agent | A rules-based workflow, cheaper and safer than an agent |
| Free text or judgement calls in one job | A single agent with an approval gate | A pilot in 3–4 weeks on 20–50 of your real cases |
| Three or more systems and several distinct tasks | A multi-agent system | Scoped after a single-agent pilot, never before |
| Under 100 cases a month or a process still changing | Not yet | A free 30-minute scoping call; revisit when volume grows |
An AI agent development company designs, tests and runs software agents for other businesses. Our AI agent development services work proof-first: every agent has a test set, a human-in-the-loop approval step and a kill switch before it touches production. It is designed to support the human oversight that Article 14 of the EU AI Act requires for high-risk AI systems.
Which companies are developing AI agents? Large AI firms ship general-purpose agents, such as OpenAI’s ChatGPT agent, Anthropic’s Claude, Google’s Gemini and Microsoft Copilot. Custom agents that run one task inside your own systems are built by development companies like ours. The best AI agent development company for your task pilots on your real cases, gates risky actions and hands you the code.
The proof you get before you pay is evidence, not promises. You get sourced market data, a pilot judged on your own cases and a free 30-minute review of one task before you pay anything. Client case studies with numbers are added here as clients give permission to name them.
Outsourcing AI agent development is safe when the agent’s permissions are agreed in writing before it acts. The risks are an agent reaching data it should not, taking an action nobody approved, or running up a model bill. We close all three before launch.
IBM’s breach report found 97% of organisations breached through AI lacked proper access controls. The Open Worldwide Application Security Project (OWASP) names this risk in its Top 10 for Large Language Model Applications. Its definition, for any large language model (LLM), reads: “Excessive Agency is the vulnerability that enables damaging actions to be performed in response to unexpected, ambiguous or manipulated outputs from an LLM, regardless of what is causing the LLM to malfunction.” The National Institute of Standards and Technology (NIST) sorts AI risk work into four functions in its AI Risk Management Framework: govern, map, measure and manage. Intellectual property (IP) in the delivered work is assigned as the contract sets out.
AI agent development with us starts from USD 199 for the diagnostic and USD 800 for a fixed-price pilot of one agent. Production starts from USD 1,500 per agent, and multi-agent systems from USD 3,000. A free scoping call or a five-day diagnostic comes first. Prices are in US dollars.
From first call to a working pilot is usually four to five weeks: a free call or five-day diagnostic, then three to four weeks to build and test one agent on 20 to 50 real cases. A live production agent takes seven to thirteen weeks end to end; multi-agent systems take longer, quoted after the pilot.
An AI agent uses a model to decide the steps and call tools; agentic AI, or a multi-agent system, is several such agents coordinated by a controller. Most business tasks need one well-tested agent, not a fleet. In the diagnostic we test the single-agent version first and add orchestration only if it fails.
We build with open agent frameworks such as LangGraph, or directly on supported APIs, chosen per project on tool count, memory needs and your hosting rules. Models from OpenAI, Anthropic and Google are compared on your own test cases, as in our AI integrations work. The code, prompts and configuration are exported to you at handover.
Yes, if the process is built for it. We test every agent against a set of 20 to 50 real cases before it touches production, log every tool call, and put a human approval step in front of any action that changes money, records or customer communication. You judge the pilot on measured results.
Three controls: least-privilege access, so the agent can only reach the tools and records the task needs; approval gates, so money, records and customer messages wait for a person; and a kill switch plus alerts, so a misbehaving agent is stopped within minutes. All three are set up in the pilot, not after launch.
You do. The agent runs in your accounts and your hosting, and at handover you receive the code, prompts, configuration, test set and runbook. Ownership of the delivered work is set out in the contract, model and tool subscriptions stay in your name, and nothing depends on a platform we control.
Yes. If you have ongoing agent work, you can hire AI developers from our team on a monthly contract with a three-month minimum, a quality assurance (QA) lead and a named replacement if someone leaves. Most clients start with one fixed-price pilot, then move to a monthly team once the workload is clear. If the agent has to be built inside your own repository and pipeline instead of ours, a forward deployed engineer embeds with your team for that work.
Start your AI agent with a free 30-minute scoping call or the five-day diagnostic.
Request A QuoteBook a DiagnosticYou leave with a written verdict — single agent, multi-agent, workflow or nothing — whether or not you hire us.
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