Triage Engine detects the early signals of a reputational crisis, scores how serious they are, and hands a comms team a drafted response before a journalist calls.
PR crises almost never begin as headlines. They begin as something smaller and much easier to miss: a shift in tone across a handful of posts, a small cluster of complaints, a question from a journalist with a slightly sharper edge than usual. None of that looks like a crisis when it happens. It looks like noise.
Somewhere in that noise is the one pattern that is not noise. By the time it is obvious enough that a human notices and escalates it, the narrative has usually already left the point where the brand could still shape it.
Most monitoring tools are built to answer “what happened”, not “what is about to happen”. A dashboard that reports rising negative sentiment today is telling you about yesterday’s problem.
Early warning
changes the outcome.
A story that once took days to build now takes hours, sometimes less. Approval chains built for a slower news cycle have not caught up.
Reading sentiment across thousands of posts an hour and flagging what deviates from a baseline is now a practical engineering problem, not a research one.
Language models can now handle code-switching between English and Pidgin, Yoruba, Hausa and Igbo well enough to catch tone and sarcasm that tools built for American or British English misread.
Most tools in this space stop at detection or scoring. The value is in the handoff: a score that comes out the other side as a response you can use.
The system continuously pulls in signal from social platforms, news outlets, forums, review sites, and competitor and adjacent-brand mentions.
This is necessary but not, on its own, valuable. Raw mentions without scoring are just more data for a human to read.
In design
A risk-scoring model looks for abnormal sentiment velocity, how fast tone is shifting and not just what the tone is, and narrative acceleration, whether a topic is picking up independent sources rather than staying in one thread. It flags the combination before it becomes a trending topic.
The method comes from intrusion detection. Establish what normal looks like for a brand, score deviations from that baseline, and route by severity, rather than asking a human to read raw social intelligence and hope they catch the pattern in time.
How fast tone is changing, and whether a story is reaching new, independent sources.
Whether similar complaints are bunching together in a way that suggests a shared cause.
Whether influencers and journalists are starting to engage with a topic ordinary users began.
Whether a crisis at a competitor or adjacent brand is starting to draw comparisons to you.
Built
Once something is flagged, the system does not just alert a human and stop. It drafts a holding statement, identifies which stakeholders need to be looped in, and queues a response playbook.
A human reviews and approves a draft. Nobody starts from a blank page under time pressure.
Critical Complaint cluster
Similar refund complaints are bunching, which suggests a shared cause. A journalist with a large following has just asked about it.
We know some customers have had trouble with refunds this week. We are finding the cause now and will update everyone affected by 4pm today. If this has affected you, message our care team and we will help you directly.
Built today
Respond. The drafting and playbook side has been built and iterated against real crisis-response scenarios for AgendaX’s clients.
In design
Predict. The risk-scoring layer is in active design. We will publish an accuracy figure only after backtesting it against known past incidents.
First for founder-led fintech, healthcare and logistics businesses in Lagos. Then white-label for independent agencies.
The predictive layer goes live with two to three of AgendaX’s own clients and is backtested against known past incidents.
White-label Triage Engine for independent Lagos agencies, as a module they offer their own clients.
Wider signal coverage and multilingual support across West Africa.
Self-serve tiers and API access, so larger comms and marketing stacks can plug in directly.
AgendaX is a reputation intelligence and crisis response firm built for African companies operating in high volatility markets. We are not a PR agency. We are not a social media manager. We are the early warning system and response unit for businesses that cannot afford a reputation crisis, and cannot afford a full-time crisis communications team either.
We are a small, focused team with deep technical and creative range. We don’t have layers of account managers. You work directly with the people building the company.
Reputation risk and security risk follow the same pattern: both are about detecting threats early, understanding attack vectors, and responding with discipline. AgendaX is built on that conviction.
“Your agenda
in our hands.”
We exist so that businesses never lose a narrative they could have controlled. We prepare the message before the moment, and we stand with our clients when the moment arrives.
Co-Founder & Chief Executive Officer
Cybersecurity analyst and full-stack developer. Previously at Geoplex Drillteq, where he led website revamps, threat detection, and ransomware recovery. B.Sc. Computer Science (Cybersecurity), Caleb University.
Co-Founder & Chief Technology Officer
Full-stack engineer with 2+ years shipping production fintech, edtech, and AI products for companies in Canada, Malaysia, and Nigeria. B.Sc. Computer Science, University of Ilorin.
Co-Founder & Chief Creative Officer
Multi-disciplinary creative director and writer with 4+ years across brand strategy, video production, and narrative design. Grew social engagement 300%+ leading a 10-person creative team. Final authority on everything AgendaX puts into the world. B.Sc. Mass Communication (PR & Advertising), Caleb University.
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