Trust is earned in three places.

Challenge

Lebanon's media coverage was deepening social divides. Journalists needed practical, Arabic-first guidance on conflict-sensitive reporting — not another imported framework.

What we did

Wrote a 50-page Arabic journalism manual on social cohesion for UNDP Lebanon, validated it with a Beirut focus group of senior journalists and civil society, then designed and delivered twin Arabic and English toolkits and a workshop series under the Peace Building Project.

Result

More than 60 journalists, editors and students trained; the toolkits remain published references on Trust.org for conflict-sensitive coverage in the region. Coverage that builds trust between communities, not division.

• Journalists’ Pact for Civil Peace in Lebanon: Arabic toolkit →
• Journalists’ Pact for Civil Peace in Lebanon: English toolkit →

Challenge

Aingel AI was at inception, and needed to establish both company and CEO credibility in Silicon Valley before it had a product in the market.

What we did

Developed an integrated thought leadership strategy and a media outreach plan, positioning the CEO as a voice on AI investing at the intersection of capital and machine intelligence.

Result

The company and its CEO gained visibility through contributed columns in VentureBeat — including a widely read piece on the top angel investors in AI — supporting the company's early growth.

Challenge

The goal: newsrooms that can use AI without losing their audience's trust. Newsrooms across Africa and beyond wanted to adopt AI, but had no shared standards, no governance, and no training path that respected editorial judgement.

What we did

Designed the Thomson Reuters Foundation's full newsroom AI curriculum — including its first course on AI Ethics, Data and Digital Rights — authored its three-step guide to AI-ready newsrooms, and led the learning programme design for the Resilience of Independent Media team, including an AI editorial quality assessment tool validated against human editors.

Result

The curriculum is now used across the foundation's newsroom transformation work, and its guides and toolkits are published on Trust.org for newsrooms worldwide.

• AI policies for newsrooms: a three-step guide →
• The Newsroom AI Casebook →

Challenge

Tribal Credit grew from a handful of people to more than 500, working remotely across 27+ countries. Rapid hiring was diluting the culture, and internal communication couldn't keep pace with the scale-up.

What we did

Treated culture as a product. Ran a company-wide culture exercise: 30 hours of team interviews and answers to 14 questions, yielding 591 distinct emotions and 427 reasons behind them, clustered with a sentence-encoding AI model so patterns could actually be counted. From that came five core values written in the team's own words, a culture onboarding programme for every new hire, and the internal communication rhythms that kept a distributed team aligned across time zones. The same approach later shaped a vision-and-values alignment session for AssemblyAI's leadership offsite.

Result

The Culture Amp engagement score came in high — above leading fintech companies — with 90% content engagement among the internal team and investors, and coverage in Forbes, TechCrunch and VentureBeat. Trust inside a team that kept growing.