Helping media teams beyond experimentation
Bridged Media is transitioning to a media thinktank — providing decision frameworks, operating systems, and measurement practices that turn AI from isolated tools into repeatable organisational capabilities.
- 100+
- News Publishers
- 40+
- Brands Served
- 3P+
- Framework
Our Evolution
From AI platform to media thinktank
As AI moves from pilot projects to board-level scrutiny, many editorial and subscription teams are discovering that scaling AI is less a technology challenge and more an operational one. While experimentation is widespread, few companies have established the governance, processes, and measurement discipline required to make AI reliable at organisational scale.
Organisational Design
We prioritise ownership, governance, and operating models over technology deployment — because scaling AI is an operational challenge first.
Internal Capability
When AI becomes a function owned by the organisation itself rather than an external dependency, teams gain control, reduce friction, and increase adoption.
Implementation Partner
Our role shifts from technology provider to implementation partner — focused on stability, adoption, and long-term optimisation alongside your teams.
"The companies succeeding with AI are not the ones with the most tools. They're the ones with the clearest operating model. AI is now a boardroom topic. Leaders don't need more demos. They need systems they can trust and scale."
- Maanas Mediratta, CEO & Co-Founder, Bridged Media
The 3P+ Framework
AI scaling methodology built for media operations
Our framework focuses on editorial, audience, and subscription environments where workflow trust, speed, and accuracy directly influence revenue and retention. While rooted in real media workflows, the principles apply broadly across industries.
Define the operating model
- Audit current AI initiatives and identify gaps
- Map governance and decision-making frameworks
- Align AI goals with editorial and revenue KPIs
- Establish clear ownership and accountability
Structured experimentation
- Deploy AI in controlled editorial and audience workflows
- Build trust through transparent human oversight
- Test integration across existing systems
- Train teams at the point of use
Measure what matters
- Apply the 4-lens KPI model for holistic impact
- Quantify business impact, efficiency, adoption, and trust
- Report results in language the board understands
- Build the case for organisation-wide scaling
From pilot to capability
- Codify playbooks into repeatable processes
- Transfer knowledge to internal teams
- Embed AI into daily editorial and revenue operations
- Reduce external dependency over time
Open Source
An open library of AI agents built with the industry
We've released an open-source library of AI agents developed in collaboration with over 100 news publishers. These agents are field-tested across real editorial, audience, and subscription workflows — and available for the entire industry to use, adapt, and improve.
This is part of our commitment to building durable industry thinking and helping organisations develop internal AI capability that outlasts any individual deployment.
From News to Events
News publishing taught us everything. Events is where it all clicked.
Working with 100+ news publishers gave us a rare education in what it truly takes for editorial teams to adopt AI at scale — the trust challenges, the workflow friction, the measurement gaps. That field-tested knowledge led us to our real product market fit: the events industry.
100+ publishers, one hard lesson
We embedded with news teams across the world — learning that AI adoption fails not because of technology, but because of missing governance, unclear ownership, and untested workflows.
The operating model emerges
Every publisher struggle refined our methodology. We built the 3P+ framework from real editorial problems — a system that finally made AI reliable across content, audience, and revenue workflows.
Events: the perfect fit
Event organisers face the same challenges — audience engagement, content personalisation, data-driven decisions — but with higher stakes and faster timelines. Our methodology was built for exactly this.
100+ publishers, one hard lesson
We embedded with news teams across the world — learning that AI adoption fails not because of technology, but because of missing governance, unclear ownership, and untested workflows.
The operating model emerges
Every publisher struggle refined our methodology. We built the 3P+ framework from real editorial problems — a system that finally made AI reliable across content, audience, and revenue workflows.
Events: the perfect fit
Event organisers face the same challenges — audience engagement, content personalisation, data-driven decisions — but with higher stakes and faster timelines. Our methodology was built for exactly this.
AI-native tools built for
event organisers
Everything we learned helping 100+ publishers — reimagined for conferences, trade shows, and media events. Attendee engagement, sponsor ROI, and personalised content at scale.
Leadership
Built by operators, for operators
60+ combined years of industry experience across media, technology, and entrepreneurship.
Maanas Mediratta
Product Lead
Media teams trust Maanas to find and prove ROI in AI. Named Agentic AI CEO of the Year, he leads Bridged's product and execution with deep expertise in media and tech — a data-driven operator who turns AI experimentation into measurable business impact.
LinkedIn
Rishabh Lohia
Commercial Lead
Media teams trust Rish to find AI business opportunities. A 2x entrepreneur with an MBA from ESADE, he leads commercial strategy, product positioning, and client partnerships — identifying where AI creates real commercial value across editorial and revenue teams.
LinkedInReady to move from experimentation to ?
Let's discuss how our thinktank approach can help your editorial and subscription teams scale AI with confidence.
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