Your contact centre is sitting on
answers you haven't read yet.
Every call, chat and survey your contact centre handles contains signals — about churn risk, unmet needs, process failures and cross-sell opportunities. Most organisations analyse less than 40% of that data. KKS deploys an AI-powered customer intelligence platform that turns the other 60% into decisions you can act on today.
You already have the data.
You just can't hear it.
Contact centres generate enormous volumes of customer voice data every day — call recordings, transcripts, survey responses, chat logs. The insight is there. The problem is extracting it fast enough to act on it.
Customer insight gap
Most companies analyse only a fraction of available data. Critical insights — churn signals, unmet needs, operational failures — are lost in the noise, and customer-centric decisions get made on incomplete information.
Too slow to act
By the time traditional research processes surface an insight, the customer has already churned, the complaint has escalated, or the competitor has moved. Speed to insight is the competitive variable most organisations underestimate.
High failure, wasted spend
Around 40% of new products and service changes fail — often because they weren't built around a clear understanding of what customers actually need. Traditional R&D is slow, costly and frequently misaligned with real customer intent.
Rising research costs
Large research teams, external consultants and lengthy survey cycles drain budgets without delivering proportional value. The insight lag between question and answer is simply too long for the pace of modern business.
Gather, upload, analyse, act.
In weeks — not months.
The platform is designed for speed and simplicity. No large implementation projects, no complex integrations, no extended onboarding cycles. Upload your data and the platform does the rest.
Gather
Pull transcript data from your contact centre, CRM, survey tools or online review sources — call logs, chat, surveys, social
Upload
Create a project and upload your data as .csv or .txt files — zero complex integration required
Analyse
Six AI analysers run simultaneously — sentiment, churn, journey, root cause, archetype and intelligence — generating results in parallel
Act
Structured outputs and playback reports give your team clear priorities, risks and next steps — ready to present or act on immediately
Six lenses on your customer data. Running simultaneously.
Most analytics tools give you sentiment. This platform gives you six distinct analytical engines — each targeting a different dimension of what your customers are telling you.
Sentiment Analyser
Goes beyond positive/negative — detecting nuanced emotions, intensity levels and sentiment trends over time across your entire customer feedback corpus.
Churn Analyser
Identifies at-risk customers before they leave — pinpointing the specific language patterns, behaviours and triggers that signal churn risk across your contact data.
Journey Analyser
Maps the complete customer journey across all touchpoints — identifying friction points, drop-off moments and opportunities for experience improvement that aren't visible in individual interactions.
Root Cause Analyser
Moves beyond symptoms to identify the underlying systemic causes of customer issues — giving operations teams the intelligence to fix problems at the source rather than managing their effects.
Archetype Analyser
Reveals the underlying customer behavioural patterns driving your business — segmenting your customer base by need, behaviour and churn risk for targeted, effective action.
Intelligence Analyser
Distils complex feedback data into executive-level strategic imperatives — clear priorities, quantified risks and growth opportunities formatted for leadership decision-making.
What your organisation gains.
The platform is built to deliver measurable commercial outcomes — not just better dashboards. Every analyser is designed to surface intelligence that drives a specific business result.
2x active retention
Identify and act on churn signals before customers leave — improving retention rates, conversion and customer lifetime value across your base.
10x faster time to insight
What traditional research teams take 6 months to surface, the platform delivers in weeks — freeing your team to spend time designing and testing solutions rather than gathering data.
32% reduction in research costs
Eliminate survey expenses, reduce external consulting fees and optimise support resources — smaller teams get more done faster without sacrificing insight quality.
Revenue recovery from hidden signals
Cross-sell and upsell triggers buried in routine servicing calls are surfaced and quantified — turning contacts that were closed as admin into actionable commercial opportunities.
2.3x faster product delivery
Customer intelligence feeds directly into product and service design — reducing the guesswork that drives the 40% new product failure rate and accelerating innovation cycles.
Qualitative depth at quantitative scale
Apply the analytical depth of qualitative research to your entire unstructured data estate — not just the 37% that traditional methods can process.
Hidden cross-sell signals in a vehicle finance portfolio.
A South African bank was logging settlement enquiry calls as routine servicing contacts and closing them — unaware that over a third of those calls contained an explicit revenue opportunity.
38% of settlement enquiries contained an upgrade signal worth R8,400–R14,000 per unconverted contact.
The Journey Analyser mapped a consistent pattern across vehicle finance servicing calls: customers mentioning a specific target vehicle or dealer within a settlement enquiry call — a cross-sell signal that was being logged as servicing and closed with no follow-up. These weren't vague interest signals — they were explicit upgrade indicators embedded in the natural language of the call, invisible to standard reporting but immediately identifiable through AI-powered language analysis. The result was a targeted cross-sell trigger protocol built around the specific language patterns identified — not settlement enquiries broadly, but the 38% that contained an actionable upgrade signal.
Revenue recovery achievable within the current system without a product change — by acting on signals that were already present in every settlement call but had never been surfaced or quantified before.
Common questions
What is customer intelligence for a contact centre?
Customer intelligence is the AI-driven analysis of every call, chat, email and survey your contact centre already collects, turning that unstructured conversation data into measurable signals — sentiment, churn risk, complaint root cause and journey friction — that leaders can act on.
How is this different from standard speech analytics?
Traditional speech analytics matches keywords on a sample of calls. Synergi analyses whole conversations across channels and explains why an outcome happened — the driver behind a complaint or cancellation — rather than only flagging that a phrase was spoken.
Does it work with South African accents and local languages?
Local language and accent handling is a core selection criterion in every engagement. KKS assesses transcription and analysis accuracy against your own recordings before recommending a deployment, so performance is proven on real South African calls.
Do we need to replace our contact centre platform to use it?
No. Customer intelligence runs on the recordings and transcripts your existing platform already produces, so there is no rip-and-replace and no disruption to agents.
How quickly do we see results?
Because the analysis runs on historic data you already hold, the first insight report can be produced from existing recordings rather than waiting months for new data to accumulate.
Ready to hear what your customers are actually saying?
Talk to us about running your first intelligence analysis on your existing contact centre data.
Book a consultation with Dean