Engineered Workflows for Modern Publishing Operations

Engineered Workflows for Modern Publishing Operations

Trusted by Operations-Led Teams

Where Publishing Operations Slow Down

Friction in publishing businesses rarely sits within one platform. It lives in the handoffs between teams, the gaps between tools, and the manual steps that exist because no one has built a better path.

Media and publishing businesses
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    Stories, assets, and updates go through inboxes, spreadsheets, and disconnected tools

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    Teams repackage the same content manually for the site, app, newsletter, and socials

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    Archive content is hard to retrieve, reuse, and govern when metadata is inconsistent

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    Audience, subscription, and registration signals do not feed a dependable operating view

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    Ad operations lose time on missing assets, delayed approvals, and status chasing

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    Reporting across content, audience, and revenue requires repeated reconciliation

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    Workflow changes become risky because too much publishing logic lives in manual workarounds

Editorial Planning and Assignment

Publishing slows when planning, ownership, and handoffs are spread across too many tools.

System built: Structured editorial workflows where briefs, assignments, status changes, approvals, and publishing readiness move through one controlled operating flow.

We do not treat AI as a layer added at the end. BOSC builds the surrounding system architecture, integrations, and delivery discipline needed to make AI usable in production.

We work within operations that are already under pressure and rebuild the workflow layer in a way that is easier to run, measure, and maintain long-term.

Auralie : AI Receptionist

Auralie : AI Receptionist

Auralie is an AI receptionist which helps manage calls, schedule appointments, send reminders, and handle patient interactions, making clinic operations easier.

80%

Drop in Hold Times

50%

Less Work for Staff

95%

Call Accuracy
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CricVision : AI Cricket Analytics

CricVision : AI Cricket Analytics

An AI-powered cricket analytics app that offers advanced video analysis with real-time feedback to help you improve your gameplay.

99.99%

Reduction in Manual Video Review Time

55%

Faster Skill-Improvement

87%

Improvement in Parent Satisfaction
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Global Academic Publishing

Global Academic Publishing

Acadira empowers authors, institutions, and libraries with accessible, high-impact scholarly publishing.

10M+

Annual page views

180+

Countries with users

1.2M+

Monthly active users
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SwitchPulse: AI Vision for Assembly Line Intelligence

SwitchPulse: AI Vision for Assembly Line Intelligence

SwitchPulse is a computer vision productivity platform that provides assembly teams with live visibility into worker activity, cycle time, packing flow, and shift performance.

92%

Reduced Manual Reporting

89%

Improved Data Accuracy

2x

Faster Shift Intervention
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BSmart Jobs: Campus Hiring, Built for Scale

BSmart Jobs: Campus Hiring, Built for Scale

BSmart Jobs helps B-Schools manage students, employers, job postings, and selections in a one hiring system, moving beyond spreadsheets and email.

40K+

Active Users

17.5K+

Job Postings Created

11.2K+

Students Onboarded
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 Frequently Asked Questions

We already have a CMS, paywall, and ad stack. Do we need to replace them?


No. BOSC usually focuses on the current environment and improves workflows between platforms first. The goal is to reduce operational drag without forcing replacement where it is not needed.

Can we start with one workflow instead of a larger transformation?

Yes. Most engagements begin with one publishing, archive, audience, or revenue workflow that is creating the most friction. From there, the work can expand based on measurable operational value.

Where does AI fit without weakening editorial standards?

AI fits best inside defined tasks such as tagging, summarization, archive search, translation, research support, and content preparation. It should sit inside workflows with clear review, ownership, and traceability.

Can BOSC connect content, audience, and revenue reporting?

Yes. That usually starts by improving the data flow and workflow structure underneath reporting, so teams are not reconciling conflicting numbers across editorial, subscriber, and commercial systems.

What kinds of media businesses is this suited for?

This is best suited to publishing businesses that already have meaningful editorial, audience, or revenue operations in place and need more structure, reliability, and long-term ownership.