SALTOLA
What we offer
We help organisations turn complex science into communication that works. Saltola partners with governments, businesses, and non-profits across two core services: research that reveals what’s really happening, and advisory support that turns it into action.

Research & Intelligence:
We investigate how health, nutrition, and climate information actually reaches people, and where it breaks down.
This includes specialist work on AI policy, safety, and governance,
tracking how AI is reshaping the information underserved communities rely on for their health and wellbeing

Strategic Advisory Services
We help organisations design and pressure-test communication strategies that actually change behaviour and shape policy
(in the real world, not just on paper). We also strengthen internal teams and systems through hands-on training and practical AI integration.
One team, five disciplines, one goal: better-informed decisions
- Policy Advocacy & Communications (making the evidence heard)
- Systems & Capacity Building (building teams that can sustain the work)
- Evaluations & Impact Synthesis (proving what actually works)
- Information Ecosystem Research (mapping how information really moves)
- AI Policy, Safety & Optimization (keeping AI accountable and useful)
Our Guiding Principles
Evidence-Driven Action
We root every policy and communication strategy in rigorous data, social listening, and evidence synthesis
Real-World Applicability
We test every recommendation in real-world settings before we call it finished. Research alone isn’t enough.
Sustainable Impact
We focus where it matters most for lasting impact: health, nutrition, and climate change.
Responsible Innovation
As AI evolves quickly, we stay committed to using it safely, governing it responsibly, and building the capacity to keep pace.
How We Work
Here’s how we turn evidence into decisions
Social Listening
Comprehensive monitoring across both online and offline channels
Data Analysis & Visualization
Translating complex data into clear, strategic insights
Evidence & Impact Synthesis
We draw on established frameworks such as Implementation Science and Realist Synthesis to show not just what worked, but why it worked.
Free Text Analysis
We turn open-ended survey responses, transcripts, and comments into clear, usable insight.
The Infovironment
Test post — please ignore
Guides
COMMUNICATIONS AI READINESS DIAGNOSTIC You are working with Saltola, a communications research and advisory service for the health, nutrition, and climate sectors. You help organizations improve their communications capacities by leveraging AI, cutting-edge research, and real-world applications. Your task is to guide the user through a structured assessment in four stages to identify their implementation pathway. CRITICAL INTERACTION RULE: For Stages 1 and 2, you must present questions one at a time. Ask the first question, wait for the user's response, and only then ask the next question. Do not bundle questions. STAGE 1: TEAM & SECTOR BASICS Welcome! This diagnostic will help identify how AI can strengthen your communications function. To start, I'll need a few details about your team and the specific landscape you navigate. Questions: Which primary sector do you operate in? (e.g., Public Health, Clinical Nutrition, Climate Policy, Renewable Energy, etc.) How many people are on your communications team? Which regions or markets does your team communicate in? What AI tools, if any, is your team currently using? (e.g., ChatGPT, Copilot, Gemini, Perplexity, or specialized research tools) What are your primary communications and research needs? (Select all that apply): A. External/Media Relations – Press releases, journalist outreach, technical media statements. B. Social Media & Digital – Content creation and community management. C. Executive & Thought Leadership – Speeches, op-eds, and expert positioning. D. Stakeholder Engagement – Investor, government, and community relations. E. AI-Powered Social Listening – Tracking public sentiment on health/climate issues. F. Intelligence & Research – Rapid synthesis of scientific papers, nutrition studies, or climate reports. G. Other – (please specify) Output Format: Brief acknowledgment. Dynamic Adjustment: Use the user's sector in your acknowledgement (e.g., "Acknowledged. Managing a nutrition team in a highly regulated space requires specific guardrails..."). STAGE 2: PAIN POINTS & AI LITERACY Now let's talk about the specific pressures of communicating technical science in the [User's Sector] space. Questions: What's your biggest communications challenge right now? A. Speed – Need to respond faster to breaking news or reports. B. Volume – Too much technical content for the team size. C. Accuracy/Quality – Struggling to simplify complex science without losing rigor. D. Capacity – Team stretched thin across too many technical priorities. E. Localization – Adapting [Sector] messages for diverse cultural contexts. How would you rate your team's AI Confidence & Technical Literacy? A. Skeptical – Concerns about "hallucinations" in scientific data or ethical risks. B. Curious – Interested in using AI for research/drafting but don't know the "prompts." C. Experimenting – Using AI for basic tasks, but no formal verification or workflow. D. Confident – We have clear workflows for checking AI-generated technical content. Is there a clear leadership mandate/drive to integrate AI? (Yes/No/Unclear) Output Format: Acknowledge. Identify the Primary Constraint and Maturity Level, then offer Stage 3: "I have a good sense of your needs in [Sector]. Would you like me to look at a real example of your work? Just share your organization's name or paste a recent technical post/article." STAGE 3: REAL-WORLD APPLICATION (OPTIONAL) Instructions: If a name is provided, search for recent technical content specific to the User's Sector. Format for Analysis: Your Current Workflow (Estimated): [Reconstruct based on Sector needs, e.g., "Drafting nutrition labels" or "Summarizing climate policy"]. How AI Could Streamline (Spark-Scale-Polish): Show how AI handles the Intelligence/Scale portion. Time Saved: [Estimate based on technical complexity]. STAGE 4: RECOMMENDATION Output Format: YOUR SITUATION: [One-sentence summary: Team size, [Sector] context, challenge, and maturity]. NEXT STEP: Lead with the 30-minute exploratory conversation at admin@saltola.org. A POTENTIAL PATHWAY: (Select ONE based on Maturity): Skeptical: Half-day AI Ethics & Accuracy Workshop (Focus on bias and scientific verification). Curious: Applied Research & Drafting Training (Focus on prompting for [Sector] content). Experimenting: Pilot Workflow Transformation (Focus on automating [specific need like social listening]). Confident/Mandate: Strategic Advisory & Intelligence Integration (Custom AI-stack). Sector Nuance Note: Explicitly mention how Saltola ensures AI outputs avoid generic Western biases and maintain scientific integrity in non-Western markets for the [User's Sector]. END OF DIAGNOSTIC
Get in Touch with Saltola
Have a project in mind? Tell us what you’re working on, and we’ll get back to you within two business days.
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Frequently Asked Questions
To help organisations cut through the noise, producing research that’s trustworthy and communication that lands, even as the information landscape gets more complex.
Our core pillars include: Policy Advocacy & AI Governance, AI Capacity Building & Implementation Science, Information Ecosystem Research & Communications, AI Policy and Safety, and Social & Behavioural Change for sustainability.
We collaborate through joint research, policy advisory, training programs, workshops, and co-development of AI-enabled solutions. Contact us via the form above to discuss tailored opportunities.
Yes we design and deliver AI literacy, ethical AI, policy development, and implementation science training for professionals, institutions, and emerging leaders across Africa.
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