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AI Services

Offshore AI Development Company Delivering Workflow Automation, AI Agents, AI Marketing and AI Assurance

AI Development Services, Scoped and Priced Before We Build

As a Dhaka-based AI development company, we help international companies put AI to work in three service lines, with one operating model: a fixed-price diagnostic, a pilot on your real cases, then production with a written handover. Automation and Agents removes manual work, AI Marketing fixes content and campaigns, and AI Assurance produces the evidence your reviewers ask for.

Start with the $1,500 Diagnostic See the three service lines

$4,200One dedicated AI engineer a month, three-month minimum
2 weeksDiagnostic, $1,500 fixed — $750 credited to your pilot
Fixed priceScope and price agreed in writing before any work starts
YoursCode, prompts, documents and admin access transfer at handover

Built in your own accounts and repositories · Confidentiality and data processing agreements signed before any data moves · Overlap hours agreed at kickoff

Which AI development services do we offer?

Our AI development services sit in three lines, and each line has its own page and its own services. Automation and Agents builds the systems, AI Marketing runs the content, and AI Assurance proves both work. Most clients buy from one line first, then add a second once the first shows measured results.

Automation and Agents

Workflow automation, AI integrations, human review, AI agents and dedicated teams — AI put inside processes you already run.

See the line

AI Marketing

Brand voice, prompt strategy and engineering, AI content editing, email personalization and campaign management, with a human editor on every piece.

See the line

AI Assurance

Model testing, code audit, EU AI Act and governance documentation, payroll and finance oversight, and incident records for your reviewers.

See the line

How do our AI development services work, line by line?

Our AI development services work the same way in all three lines. Each starts with a fixed-price diagnostic, moves to a pilot on your own cases, and reaches production only after you approve the pilot numbers. What changes from line to line is the work inside each step, not the steps or the price model.

Three service lines, one operating model
  1. 01DiagnosticTwo weeks at a fixed price
  2. 02PilotThree to four weeks on 20–50 of your real cases
  3. Go or no-goYou approve the pilot numbers, or stop
  4. 03ProductionQuoted after the pilot, then handed over
Automation and AgentsRemoves manual work
Processes scored and the top three profiled
One named process, built in your own accounts
Error handling, alerts, a runbook and admin access
AI MarketingFixes content and campaigns
A voice guideline or a prompt inventory
Real drafts edited against the guideline you approved
A human editor on every piece, weekly numbers owned
AI AssuranceProduces the evidence reviewers ask for
A gap review of the records you already hold
Model testing on a set built from your own cases
Dated test sets and an audit trail a reviewer can follow
After the go-or-no-go decision, every line hands over the same way: code, prompts, documents and admin access stay in your own accounts.
How to read it: each row is one service line and each column one step. Yellow marks the decision that stays with you: no production quote is issued until the pilot meets the metric agreed in writing.

Which AI development service line do I need?

The right AI development service line follows from the problem, not the technology. If manual work eats hours every week, start with workflow automation in Automation and Agents. If content or campaigns are the bottleneck, you need AI Marketing. If a customer, auditor or regulator is asking questions, you need AI Assurance.

Find your situation on the left, then read across
Your situation What you need Where we start
A repeat process eats hours every single week Automation and Agents Two-week diagnostic
AI tools were bought but never connected to your systems Automation and Agents Two-week diagnostic
AI drafts sound nothing like your brand AI Marketing Voice guideline
Nobody owns the prompts or the weekly numbers AI Marketing Prompt inventory
A customer or auditor is asking about your AI AI Assurance Gap review
You cannot prove the model does what you claim AI Assurance Model testing
Every page in the AI menu. Automation and Agents: Workflow Automation · AI Integrations · Human-in-the-Loop · AI Agent Development · Dedicated Development Team. AI Marketing: Brand Voice Guidelines · Prompt Strategy · Prompt Engineering · AI Content Editing · Email Marketing Personalization · Campaign Management · GEO (generative engine optimization) and AI Visibility. AI Assurance: AI Model Testing · AI Generated Code Audit · AI Oversight for Payroll, Accounts Payable (AP) and Employer of Record (EOR) · Error and Incident Documentation · Risk and Governance Documentation · Evidence and Traceability Doc. · EU AI Act Documentation. Data and software work sit on the Data Engineering Services and IT Services pages.

Two-minute fit check: which AI service line suits you?

The fit check takes two minutes: five questions, three possible lines and one fallback. Read across your answer and note the line named; whichever line appears most often is where to start. If you cannot answer question four, the diagnostic is the honest first step, whatever the other answers say.

Answer each question, then count which line appears most
Question Option A Option B Option C
1. What is the main problem today? Manual work eats hours → Automation and Agents Content and campaigns lag → AI Marketing Someone is asking questions → AI Assurance
2. Who raised it first? Operations or finance → Automation and Agents Marketing or sales → AI Marketing Legal, security or a customer → AI Assurance
3. Is anything already built with AI? Nothing yet → Automation and Agents Tools bought, used ad hoc → AI Marketing In production, undocumented → AI Assurance
4. What would you show a sceptic today? Nothing measured → Diagnostic Drafts and campaigns → AI Marketing A demo, no test results → AI Assurance
5. What deadline is driving this? A cost or headcount target → Automation and Agents A content calendar → AI Marketing An audit or contract clause → AI Assurance
Four possible outcomes: Automation and Agents · AI Marketing · AI Assurance · the fixed-price AI Workflow Diagnostic. If two lines tie, take the diagnostic: two weeks at a fixed price settle the question with your own numbers instead of a guess.

How does an AI development engagement run?

An AI development engagement runs in the same three steps in every line, so the commercial risk sits with us rather than with you. A two-week diagnostic comes first, then a pilot of three to four weeks on your real cases, then production quoted in writing. Nothing is open-ended or billed by the hour.

Step 01: a fixed-price diagnostic, not a discovery phase

Two weeks at a fixed price, half credited to the pilot. Your processes are scored, the top three profiled, and a return on investment (ROI) estimate is built on your own volumes and salaries.

You leave with a written report and a fixed pilot price you can take to any vendor, including one that is not us. The report also names the processes that are not worth automating.

Step 02: a pilot on your real cases, not a demo

Three to four weeks at a fixed price, built inside your own accounts and tested on twenty to fifty real cases with before-and-after numbers. Each result is set against the baseline measured in the diagnostic.

It ends in a go or no-go report. If the agreed metric is missed, no production quote is issued, and you owe nothing beyond the pilot fee.

Step 03: production, handover and optional managed ops

Production builds are quoted per workflow only after the pilot, so the full price is known before anyone builds anything.

Every build ships with error handling, logging, alerts, a runbook, admin access and thirty days of monitoring, with risk reviews under the National Institute of Standards and Technology (NIST) AI Risk Management Framework.

The rule that runs through all three lines: wherever a mistake costs money, legal exposure or customer trust, a named person signs off before the output leaves. Article 14 of the EU AI Act requires that high-risk AI systems “can be effectively overseen by natural persons during the period in which they are in use”, and we build that checkpoint into every line. Illustrative example: an accounts team keying 400 invoices a week runs a two-week diagnostic, then a pilot on 40 real invoices, and moves to production only if errors fall below the rate agreed in writing.

Why choose us as your offshore AI development company?

An offshore AI development company should be judged on what it hands over, not its demo. We build in your accounts, test on your cases and sign a data processing agreement (DPA) under Article 28(3) of the General Data Protection Regulation (GDPR) before any data moves. Every pilot ends in a written go or no-go report. Reviewed By Eicra.com team

What a typical low-cost AI engagement leaves out, and what we include
Item Without With EICRA
Scope “AI transformation”, open-ended One named process, one service line, one written scope
Price Hourly, discovered as you go Fixed and agreed in writing before any work starts
Proof it works A demo on sample data Tested on 20–50 of your own real cases, with numbers
Human checkpoint Trusted to the model A named person signs off wherever a mistake costs money
Content quality Whatever the model produced Edited against a written voice guideline you approved
Evidence for reviewers Verbal assurance Dated test sets, an audit trail and records a reviewer can follow
Ownership Built in the vendor’s account Built in yours; code, prompts and keys stay with you
Contracts A freelancer invoice Company contract with a non-disclosure agreement (NDA), a DPA and GDPR Article 28(3) terms

AI development FAQs: cost, ownership and how we work

Cost comes first here, since most buyers open with it.

How much do our AI development services cost?

Every engagement has a fixed scope and a fixed price, agreed in writing before work starts. The two-week diagnostic and its price sit at the top of this page, with half credited to the pilot; pilots and production are then quoted in writing. Model and tool fees are billed to you directly by their providers.

What does an AI development company do?

An AI development company designs, builds and runs AI systems inside your own processes: automations, integrations, agents, content workflows, and the testing and AI assurance documentation behind them. Unlike a software reseller, it delivers working systems on your data, with named people, a fixed scope and price, and a handover you keep.

Should we buy projects or hire a dedicated team?

Buy projects when the work has an end, and hire a dedicated development team when the backlog never empties. Projects carry a fixed price. A team of named engineers is billed per engineer per month with a three-month minimum, at the monthly rate shown at the top of this page.

Who owns the code, prompts and data?

You do. As a Bangladesh-based team, we build in your own accounts wherever the platform allows, credentials stay with you, and our access is named, least-privilege and removed at handover. You receive the code, prompts, guidelines, runbook and admin access as files you keep. Model and tool accounts stay in your name too.

How quickly can an AI development project start?

Usually within one to two weeks of a signed scope, and the diagnostic itself runs for two weeks. Delays almost always come from access and approvals rather than engineering, so we list what we need, from accounts to sample data, before the contract is signed. The pilot then follows in three to four weeks.

Tell us the problem, not the technology. We will tell you which of the three lines it belongs to.

Book the Diagnostic