Every tool available today tells you what has already happened. Surveys, media monitoring, social listening, NPS. All lagging indicators that report after the damage is done. Traffyk is different. By analysing behavioural signals inside your organisation, Traffyk detects reputation risk while it is still forming, months before it reaches the outside world. Nothing else does this.
Traffyk uses an organisation's workforce data and external data sets to build bespoke AI models for each client. The models analyse behavioural patterns across all of the data, determining sentiment and surfacing structured intelligence on emerging risks before they become visible externally.
Stage 01.
Connect your data
Traffyk works with your team to securely extract the proprietary data we need and combines it with relevant external sources. All proprietary data is anonymised and aggregated at source. The process is straightforward, fast, and designed to fit within your existing security and privacy requirements.
Stage 02.
Build the intelligence picture
Our AI team builds bespoke models specific to your organisation, drawing on both your proprietary data and external sources. The Reputation Radar is calibrated across these combined data sets and validated against the global standard for reputation measurement. The Context Engine is built using large language models trained to understand the specific language, topics, and dynamics of your organisation. The platform is constantly evolving, with new tools and capabilities developed to deliver the highest quality insights.
Stage 03.
Predict, prioritise, act
Once live, the platform surfaces risk themes, anomalies, and emerging patterns across your data. Intelligence is available when you need it, in the formats that support your specific use cases, from board reporting to daily operational decisions. The picture gets richer over time as the models learn and the data set deepens.
Our Features
Reputation Radar
A proprietary AI score that monitors behavioural signals across your workforce and external environment to detect emerging reputation risk. When the score moves, something is forming. You see it months before it becomes public.
Context Engine
Tells you not just that risk is building, but why. Connects what is happening inside your organisation to what is appearing outside it, so you know what is driving the score and where to focus.
Topic Risk Analysis
Identifies which topics are generating risk and which topics your stakeholders are genuinely engaged with versus those being pushed at them and ignored. Track how topics evolve over time to measure whether mitigation efforts are working or whether the issue is still building.
Sentiment Mapping
Maps sentiment across geographies, regions, and locations so you can see exactly where issues are concentrated. Pinpoint whether a risk is localised or spreading, and direct mitigation efforts where they will have the most impact.
Anomaly Detection
Automated identification of irregularities in communication patterns that may signal emerging issues before they register on any other instrument.
Scoring, Benchmarking & Recommendations
Scores communications performance across every channel your organisation uses, from email and intranet to messaging and collaboration platforms. Identifies which channels are delivering genuine engagement and which are generating noise.
Traffyk ingests data from all major workforce platforms. We are channel-agnostic by design because the value is in the complete picture, not a single platform's version of it. Data extraction is designed to minimise technical risk.
Current integrations include Microsoft 365, Google Workspace, Slack, Teams, Viva Engage, SharePoint, WorkJam, intranets, and more.
