AI Solutions for News and Media Publishers
Practical AI for publishers: tagging, transcription, draft summaries and reader help, always with an editor in the loop and clear limits on what is automated.
This page covers AI chatbots and automation for news and media businesses. The sensible uses are narrow: sorting, tagging, transcribing and drafting support tasks. Writing or publishing news without a human check is not one of them, and we will not build it. Every feature below keeps a named editor responsible for the final output.
A newsroom's real time sinks are rarely reporting. They are tagging a story into the right sections, transcribing a forty-minute interview, preparing newsletter blurbs and answering the same reader emails. These are repeatable tasks where a machine can prepare and a person can approve. We build the preparing part carefully and leave the approving part to your staff.
Where AI helps a media business, and where it does not
Transcription in Indian languages
Press conferences and interviews arrive in Hindi, Marathi and English, often mixed in one clip. Accuracy varies, so the output must be a draft that a person corrects.
Tagging and archive search
Years of stories with weak tags are hard to search or reuse. Automatic suggestions of topics, places and people let an editor confirm in a click.
Reader queries and support
Subscription questions, delivery complaints and advertising enquiries repeat daily. A WhatsApp or website assistant can answer common ones and hand over the rest.
Guardrails on facts
Generative tools can state wrong things with confidence. Any feature near published copy needs source links, a review step and a visible record of what was machine-assisted.
What we build for publishers
Transcribe and summarise tool
Upload audio or video, get a timestamped transcript and a short summary for the reporter to edit. Quotes are linked to their time in the recording so they can be verified.
Tag suggestion inside the CMS
On save, the tool proposes sections, tags and related stories. The editor accepts or changes them, and corrections improve later suggestions.
Reader assistant on WhatsApp or web
Answers subscription, delivery and ad rate questions from your own documents. Anything outside its scope is passed to a staff member with the chat history.
Newsletter drafting helper
Pulls the day's top stories and drafts blurbs in your house tone for an editor to approve. Nothing is sent without a person pressing the button.
What it costs
The anchor suits one focused assistant or automation. Quotes depend on the languages covered, the number of connected systems, volume, and the model usage costs you will pay month to month.
Questions we get asked
Can AI write our news stories?
We do not build tools that publish machine-written news. Drafting aids such as summaries and headline options can save time, but a reporter or editor must check every fact and approve the text. Responsibility for what is published stays with your editorial team.
How accurate is transcription in Marathi and Hindi?
Accuracy is good on clear audio and drops with crowd noise, strong accents and mixed languages. We test on your own sample recordings during discovery and tell you honestly what to expect. The output is a draft with timestamps so a person can correct it quickly.
What happens to our unpublished material?
Embargoed and unpublished copy needs care. We choose providers and settings that fit your confidentiality needs, limit who can see what, and document where data goes. Your own legal adviser should confirm the terms you need with any AI vendor.
Is there a running cost beyond the build?
Yes. Model usage, transcription minutes and hosting are billed monthly and scale with volume. We estimate a range from your expected use before you commit, and we add usage alerts so a busy news week does not produce a surprise bill.
Ready to scope it?
Tell us what you want to build. You get a fixed written quote after a free discovery call.