AI content editing services are the human review, fact-checking and refining of AI-generated text before it is published. As a Dhaka-based company, we edit AI drafts for international teams: every claim is checked against a source and every piece is signed off by a named editor.
Each finished piece is accurate, on-brand and written in a natural voice, ships with a plagiarism and citation report, and comes back within 48 hours. The style guide, prompt library and checklist we build stay in accounts you own.
Every piece comes back within 48 hours. Send one AI draft first: it is read against your style guide, every claim is traced to a source, and the stock AI phrasing is marked.
You get a written note on the error types in the draft and what editing it properly would cost, whether or not you hire us.
Every AI content editing setup includes six deliverables. You get a style guide built from your own drafts, a prompt library, an editing checklist with an error log, a named editor with a sign-off log, a plagiarism and citation report on each piece, and full handover in accounts you own. You receive a working editing pipeline, not a policy PDF.
A written guide to your voice, banned phrasings, formatting and citation rules, built from a sample of drafts you already publish.
A tested system prompt and templates that produce drafts closer to your style guide, so editors correct less and each finished piece costs you less.
A fixed checklist every piece passes, and a log of the error types found, so the recurring ones get fixed in the prompt instead.
One named editor owns each piece, and the log records who checked it and when: the audit trail an auditor, a client or a regulator asks to see.
Each finished piece ships with a plagiarism and citation report, so you can see what was checked and where every claim came from.
The guide, prompts, checklist and logs live in your drive or content management system (CMS), and our access ends with the engagement.
AI content editing covers any text your team drafts with a large language model (LLM) and publishes under its own name. Blog posts, product pages, sales emails and research write-ups each get the same checks. Facts are checked against a source, structure against the brief and brand voice against your style guide, before a named editor signs the piece off.
Articles, landing pages and pillar content drafted with AI, checked for facts, structure and brand voice.
Feature pages, help-centre articles and release notes, checked against what the product actually does.
Sequences, one-pagers and newsletters, checked for claims you cannot support and for off-brand phrasing.
Market summaries and research write-ups, with every statistic traced back to a primary source.
AI content editing checks each draft in one pass before it is published. The editor marks every claim, traces it to a source, flags what cannot be sourced, rewrites stock AI phrasing to your style guide and signs the piece off. The sample shows one blog draft moving through that pass.
AI draft · blog article
A guide to choosing an invoicing tool
Most invoicing tools connect to your bank feed and send payment reminders on a schedule.
One vendor claims to halve month-end work, but the draft gives no source.
In today’s fast-paced digital landscape Pick a tool your accountant already supports.
The market leader was founded decades ago and still leads on features.
Editing pass · checklist and sign-off
Recurring error types go into the error log and are fixed in the prompt library, so later drafts need less editing.
Illustrative example. Yellow marks where a person decides or signs; every change is logged against your style guide and the source list.
Our AI content editing services run in four fixed-price steps, each with a published word cap. They are a four-day audit, a two-to-three-week pilot on 10 to 20 of your drafts, the pipeline setup with its own prompt library, and an optional Managed Editing Desk. Each step ends with a written result you can stop on.
Fixed prices on the cards at the top, live in about four weeks.
AI content editing suits any team publishing AI-assisted work that carries its own name. Three buyer types hire us most, and each gets the same pipeline tuned to a different risk. In each case AI can handle a first pass on structure and repetition, while a human editor checks every fact, every source and the tone of voice.
You publish faster than one editor can check. You get a style guide built from your own drafts, a 48-hour turnaround per piece and a monthly error report.
Your client sees your name on the byline. You get a white-label pipeline, a named editor per account, and a plagiarism and citation report you can forward unchanged.
Your text may fall under Article 50(4) of the EU AI Act. You get human review by a named editor, a sign-off log and a written record your counsel can point to.
AI content editing services review, fact-check and rewrite AI-generated drafts before they are published. We work record-first: prices carry word caps, a named editor signs off every piece, and the sign-off log is the human-review record that Article 50 of the EU AI Act recognises for published text.
Outsourcing AI content editing is safe when the safeguards are agreed in writing first. As a Bangladesh-based company, we sign a mutual non-disclosure agreement (NDA) before reading a draft and work through named least-privilege accounts. Personal data is handled under a data processing agreement (DPA), so drafts stay inside your own systems. Reviewed By Eicra.com team
Before you pay for AI content editing services, you get evidence instead of promises. You get measured commitments, a pilot on 10 to 20 of your own drafts that ends in a go or no-go report, and a free review of one AI draft. Client case studies with numbers are added here as clients give permission to name them.
Each piece comes back within 48 hours of submission once the pipeline is live.
Every checkable claim, number and date is traced to a primary source, or cut and flagged back to you.
One named editor owns each piece and records the sign-off, so a person stands behind every publish.
AI content editing with us is priced per step, not per hour, and each price is on the price cards at the top. The steps are a four-day audit, a pilot of 10 to 20 drafts, the pipeline setup and an optional monthly Managed Editing Desk.
Each piece comes back within 48 hours of submission once the pipeline is live. Before that, the audit takes four days, and the pilot and pipeline setup run two to three weeks together, so a first engagement is live in about four weeks.
No. Google Search Central states: “Generative AI can be particularly useful when researching a topic, and to add structure to original content.” Generating many pages without adding value for users may violate its scaled content abuse policy. Human review adds the checked facts and value that policy asks for.
Only in some cases. Under Article 50(4) of the EU AI Act, AI-generated text that informs the public on matters of public interest must be labelled. The European Commission’s guidance adds: “Published text that has undergone human review or editorial control – does not need to be labelled.” Our error and incident documentation records that review.
Your company does, from day one. The style guide, prompt library, checklist, error log and every edited file live in your own drive, CMS or workspace. At handover you keep all of it, our access is removed, and nothing is retained on our side.
Start with a four-day AI content audit at a fixed price.
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