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Automation & Agents

AI Automation and Agent Services, Priced Before We Build

Six services that put AI inside a process you already run: workflow automation, integrations, human review, agents, a dedicated team and a fixed-price diagnostic. Every build ships with error handling, a human checkpoint where mistakes cost money, and a runbook so your team can run it after handover.

Start with the $1,500 Diagnostic See the six services

2 weeksDiagnostic, $1,500 fixed — $750 credited to your pilot

3–4 weeksPilot tested on 20–50 of your real cases

30 daysMonitoring after launch, fixes free of charge

YoursCode, prompts and admin access transfer at handover

Built in your own n8n, Make or Zapier accounts · NDA and DPA signed before any data moves · Delivered from Dhaka on UTC+6

Which AI automation services does EICRA offer?

Each one is a separate engagement with its own scope and price. Most clients use two or three of them together.

AI Workflow Automation

A repeat process moved into an automated pipeline with error handling, retries, alerts and a written runbook.

AI Integrations

AI wired into the CRM, ERP, help desk, spreadsheets and email your team already pays for — not another tool to learn.

Human-in-the-Loop AI Review

Review checkpoints, confidence thresholds, exception queues and approval logs, so a wrong output never reaches a customer unseen.

AI Agent Development

Agents that plan their own steps and call tools, inside permissions, spend caps and full action logging.

Dedicated AI Development Team

Named Dhaka engineers working continuously on your AI and software backlog, in your tools and repositories.

AI Workflow Diagnostic

Two weeks, $1,500 fixed. Processes scored, ROI estimated on your numbers, and a fixed pilot price you can take to any vendor.

See pricing →

Which AI automation service do I need?

Start from the problem, not the technology. If the steps never change, you need workflow automation. If the path depends on the case, you need an agent. If a wrong answer costs money, you need a human checkpoint on top. If nothing is written down yet, start with the diagnostic — it is the cheapest way to find out.

Find your situation on the left, then read across
Your situation	What you need	Typical starting point
Same steps every time, high volume, rules written down	Workflow Automation	$4,000 pilot, 3–4 weeks
AI tools bought but not connected to your systems	AI Integrations	$4,000 pilot, 3–4 weeks
Output goes to a customer, a regulator or a payment	Human-in-the-Loop	Free calibration sample, then $1,500 pilot batch
Steps depend on what the AI finds in each case	AI Agent Development	$4,000 pilot, 3–4 weeks
A permanent backlog, not one project	Dedicated Development Team	Monthly per engineer, 3-month minimum
A long list of ideas and no agreed priority	AI Workflow Diagnostic	$1,500 fixed, 2 weeks

Two-minute fit check: which service suits your process?

Five questions. Read across your answer and note the service named. Whichever service appears most often is where to start — and if the diagnostic appears twice or more, start there instead.

Answer each question, then count which service appears most
Question	Option A	Option B	Option C
1. How predictable are the steps?	Identical every time → Workflow Automation	Depends on the case → AI Agent Development	Nobody has written them down → Diagnostic
2. What happens if the output is wrong?	Someone fixes it quietly → Workflow Automation	A customer or regulator sees it → Human-in-the-Loop	We honestly do not know → Diagnostic
3. How many systems are involved?	One or two → AI Integrations	Three or more, handing work along → AI Agent Development	None yet; it is all manual → Workflow Automation
4. How much work is coming?	One process to fix → Workflow Automation	A permanent backlog → Dedicated Development Team	Unclear, needs scoping → Diagnostic
5. Do you have volumes and a success metric?	Yes, both written down → skip ahead to a pilot	Volumes only → Diagnostic	Neither → Diagnostic

Six possible outcomes: Workflow Automation · AI Integrations · Human-in-the-Loop · AI Agent Development · Dedicated Development Team · AI Workflow Diagnostic. If two services tie, take the diagnostic — it costs $1,500 and settles the question with your own numbers instead of a guess.

When to use a workflow, an AI agent, or multi-agent orchestration

Three rules in plain language. We apply them in this order, and we tell you when the cheaper option is the right one.

Rule 1: use a workflow when the steps never change

If you can draw the steps on paper and they do not change, a plain workflow wins. It is cheaper, faster, easier to test and far easier to debug at three in the morning.

Adding a model to a process that needs no judgement only adds cost and a new way to fail.

Rule 2: use an AI agent when the path varies

Use an agent when the next step genuinely depends on what the previous step found, and writing every branch by hand would be unmanageable.

An agent buys flexibility and costs control: permissions, spend caps, action logs and much more testing. Worth it when the variation is real, wasteful when it is not.

Rule 3: use multi-agent orchestration last

Orchestration is for work that crosses several systems or teams, where each part has a different owner and the handoffs need recording.

Most companies do not need it in year one. If a single agent with more tools would do the job, we build that instead and say so.

The rule above all three: whatever we build, there is a confidence threshold, an exception queue and an alert to a named person wherever a mistake costs money, legal exposure or customer trust. Automation without that is a demo, not a system.

Why choose EICRA for AI automation?

Gartner predicts more than 40% of agentic AI projects will be cancelled by the end of 2027, citing escalating costs, unclear value and weak risk controls. Here is what changes when the build is done properly.

What a typical low-cost build leaves out, and what we include
Item	Without	With EICRA
Price	Hourly, discovered as you go	Fixed, agreed in writing before any work starts
Proof it works	A demo on sample data	Tested on 20–50 real cases, with before-and-after numbers
When a step fails	It fails silently	Retries, fallback path, alert to a named person
Wrong AI output	Reaches the customer	Held at a confidence threshold, routed to an exception queue
Ownership	Built in the vendor’s account	Built in yours; credentials and IP stay with you
After launch	Support billed per request	30 days of monitoring with free fixes
If your team takes over	No documentation	Written runbook, export and training at handover
Contracts	A freelancer invoice	Company contract, NDA, DPA, UK IDTA and PDPA terms where they apply

AI automation FAQs: cost, timing and ownership

Cost is at the top, because that is the question everyone opens with.

How much does an automation or agent project cost?

A two-week AI Workflow Diagnostic is $1,500 fixed, with $750 credited to a pilot. A pilot of one workflow, integration or agent is $4,000 fixed. Production builds start at $6,000 per workflow and are quoted after the pilot. Human-in-the-loop review starts at $10 per reviewer hour. Model usage fees and tool subscriptions are separate and paid by you.

Which service should I start with?

Almost everyone starts with the AI Workflow Diagnostic. It scores your processes, produces an ROI estimate on your own numbers and returns a fixed pilot price you can use with any vendor. You can skip it only if you already have the process mapped, the monthly volumes and a written success metric.

What is the difference between workflow automation and an AI agent?

A workflow runs a fixed sequence you defined in advance. An agent plans its own steps, chooses which tools to call and adapts to what it finds, inside permissions and spend caps you set. Use a workflow when the path is known; use an agent when the path depends on the case.

Do I need human-in-the-loop review on every build?

No. The checkpoint belongs only where a wrong output costs money, legal exposure or customer trust. Everything above the agreed confidence threshold runs untouched; everything below it goes to an exception queue with an alert to a named person. Low-risk internal tasks usually need no reviewer at all.

How long does a build take?

The diagnostic is two weeks. A pilot is three to four weeks. Production timing is quoted after the pilot and depends on how many users and systems are involved. Delays almost always come from access and approvals on the client side, not from engineering.

Do the builds run in our accounts or yours?

Yours, wherever the architecture allows. Credentials stay with you, our access is least-privilege and named, and it is removed at handover. You receive admin access, an export of the build and a runbook, so your team can run it without us.

What happens if the pilot does not work?

You receive a go/no-go report with the measured results and the reasons. If the workflow cannot reach the agreed metric, no production quote is issued and you owe nothing beyond the pilot fee. Where the failure is on our side, rework inside the pilot scope is free.

Can you work with our existing n8n, Make or Zapier setup?

Yes. We build inside whichever platform you already pay for, and the diagnostic says plainly when your current tool is the wrong fit and what switching would cost. We do not require you to move to a platform we prefer.

Tell us one repeat process. We will tell you whether it is worth automating.

Book the $1,500 Diagnostic