Customer interactions reveal what drives volumes, costs, and customer satisfaction but rarely shape decisions.
TellMeNow changes that.
Problem: Many organisations have access to the answers — yet decisions are made without them.
Fact:
Every day, thousands of customers clearly express what they think, feel and experience through service interactions, support cases, emails, chats, feedback and complaints.
In many organisations, the answers are already there—embedded in these customer conversations—but they never reach the decision-makers in time, in the right format, or with enough weight to drive action.
That information is often:
– unstructured
– fragmented across multiple systems
– filtered through subjective interpretation
– summarised only when it is already too late
The result is:
Organisations make decisions based on data that
– reflects a sample, not the whole
– drives reaction instead of prevention
– feels right, but is not grounded in reality
TellMeNow exists for organisations that no longer accept this.
TellMeNow is built to support organisational decision-making.
If you are simply looking for faster case handling or more polished charts, there are other tools.
If you want to make better decisions, TellMeNow is relevant.
TellMeNow solves this problem.
TellMeNow is:
- a tool that identifies patterns, drivers, and emerging trends
- a strategic analytics layer built on real operational data
- decision support for leadership, product, operations, and strategy
TellMeNow is not:
- a coaching tool for individual performance
- a system for scripts or conversation optimisation
- a productivity tool for frontline operations
- another traditional dashboard
For those who want to understand how TellMeNow differs from general-purpose AI
When the answers exist — but don’t reach the people making decisions.
Before TellMeNow, we spent days every month compiling reports that still didn’t explain why customers kept contacting us.
Before TellMeNow, we spent days every month compiling reports that still didn’t explain why customers kept contacting us.
Once a month, I have to put together a customer service report for the leadership team. It takes countless hours. I have to pull some data from one system, some insight from another, and then piece it all together into a presentation.
And when I finally present it, I’m met with questions like, ‘So what happens next?’
When I try to explain and argue for concrete improvements, those ideas are always deprioritised. For ten years, I’ve been saying that our delivery information needs to improve — but it’s as if no one really listens or understands.
Instead, we end up investing in a new logo. As if that would actually make a difference.”
Head of Customer Service, Nordic retail
From monthly manual report building → automated decision brief.
What TellMeNow shows
TellMeNow analyses 100% of your customer interactions to identify trends, patterns, and points of friction.
TellMeNow turns customer conversations into decision-ready insight — not just statistics.
Why TellMeNow differs
Many tools show what has already happened. TellMeNow is used when you need to decide what to do next — and why.
We explain why it’s happening, what is changing, and which decisions will deliver the intended impact.
Average tool reports
“Customers frustrated with billing”
TellMeNow reports
“Customers frustrated with billing”
Why it happens
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Multiple billing formats across channels
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Missing context between invoice and order status
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Agents forced to interpret instead of explain
Recommended action
Standardise billing explanations and proactively clarify invoice structure before contact occurs.
Expected effect
- CSAT: 7.7 → 9.5
- AHT: −11 seconds
The effect of TellMeNow
Case: An e-commerce company was facing rising customer contact volumes and low customer satisfaction without a clear understanding of why.
Channels: email, chat, calls
Volume: ~15% interactions of order volume
Markets: UK
After implementation of TellMeNow:
Cost
−47%
Total service cost
Enquiries
−30%
Contact volume
AHT
-25%
Average handle time
CSAT
+12%
Customer satisfaction
Sales
+7%
Conversion / sales uplift
Payback
≤ 6 months
Estimated payback
What changed?
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Identified top 3 drivers behind repeat contacts and fixed root causes
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Standardised messaging across channels for high-friction journey steps
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Implemented proactive guidance where customers got stuck most often
How TellMeNow works in practice
For those who want to understand why TellMeNow works in real-world operation — and why generic AI breaks down as volumes, demands and accountability increase.
TellMeNow is built for stable, ongoing operation — not for prompting.
Many organisations use generic AI to summarise material or get quick answers. That can work when volumes are low and requirements are modest.
TellMeNow is designed for continuous operational steering, where thousands of customer interactions are analysed, compared and tracked over time — connected to other business data — without anyone having to manually intervene each time.
TellMeNow works like a machine. Data flows in automatically at one end, and out the other come analyses, recommendations and decision-ready insights.
Continuous data ingestion
TellMeNow collects data automatically and continuously. This is not done through one-off “batch” uploads where someone manually pushes files into the system.
Data is ingested at least daily — and often several times per hour — ensuring that the analysis always reflects the actual, current state of the operation.
Onboarding designed to be simple
Setting up TellMeNow requires minimal technical effort.
In most cases, it takes around one working day to connect the data flows and have the analysis up and running.
Generic AI
- Requires manual collection and upload of information
- Results depend on how prompts are written
- Output varies between runs and model versions
- Lacks a fixed structure for follow-up over time
- Requires increasing human involvement as volumes grow
TellMeNow
- Automated, continuous data ingestion
- Deterministic output (the same input data produces the same analysis)
- A consistent decision-making structure every time
- Scales without increasing the need for manual analysis
Recommendations in an A → B → C format
What sets TellMeNow apart is not that it merely identifies problems. TellMeNow connects each issue to concrete actions and estimates the impact those actions are likely to have.
Recommendations are expressed as:
Do A to address B, with an expected effect of C.
The expected impact is calculated by combining:
-
the time required to handle cases (AHT and related metadata)
-
how frequently the issue occurs (volume)
-
how similar issues have historically affected customer satisfaction and operational load
The calculations are based on realistic, evidence-based impact — not optimistic assumptions.
What sets this apart from typical “AI advice”
Anyone can produce well-phrased suggestions. Delivering prioritised actions that can be followed up week after week — with the same structure and meaning — is far harder. That is what TellMeNow does.
How impact is calculated
TellMeNow uses a hybrid of AI models and calculation-based models.
- AI is used to identify what cases are about, which issues occur, and which customer segments are affected — among other things.
- Impact estimation and analysis are then performed using calculation models that produce deterministic output.
Rimlig påverkan – inte maxantaganden
TellMeNow antar aldrig att ett problem försvinner helt utan arbetar med rimlig påverkan. Effekten ackumuleras och kan följas över tid med före/efter-jämförelser när åtgärder genomförs.
Deterministic output and a fixed structure
One of the cornerstones of TellMeNow is determinism.
Feed in the same data and you will always get the same analysis — with the same meaning.
This is fundamentally different from generic AI, where outcomes may vary depending on prompts, model versions or interpretation.
TellMeNow also uses a fixed output structure every time, allowing decision material to be compared week after week without anyone having to manually interpret or normalise the results.
Causal analysis when the data allows
When sufficient historical data is available, TellMeNow can also apply causal logic. For example:
When something changes in the customer journey, case volumes, costs or customer satisfaction are affected in a predictable way.
This makes it possible to validate the impact of implemented actions over time.
Such analysis requires the relevant data to be available in TellMeNow — for instance by ingesting historical data retrospectively.
All recommendations are indicative, not guaranteed promises. They are designed to be traceable and verifiable as actions are carried out and outcomes observed.
Cost over time
With generic AI, costs quickly become human as volumes increase. Someone has to gather material, write prompts, quality-check the output and compile results — over and over again.
With TellMeNow, manual analysis costs do not scale in the same way as volumes grow. There are no prompt cycles and no manual normalisation. All processing is handled machine-to-machine, always executed in the same order.
Why “budget AI” is a poor alternative
It may work at small scale, but becomes costly and unstable when expected to operate continuously.
TellMeNow is an engine that evolves with the business
TellMeNow connects customer interactions with wider business data and delivers increasingly robust decision support over time.
What makes this difficult to replicate is the combination of:
- deep experience of how sales, delivery, service and operations interact
- proprietary analysis logic built on top of language models
- a deterministic, repeatable operating model
- analysis of 100% of customer interactions, not a sample
- accumulated history that continuously improves precision over time
Building this internally would require substantial development effort — and, more importantly, a high level of operational and commercial understanding that is rarely available in one place.
TellMeNow is an engine that evolves as your business evolves.
We are building the next generation of customer understanding.
Most organisations already have the answers they need. The challenge is turning fragmented customer signals into shared, decision-ready insight — before problems escalate. We do this for you:
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We analyse 100% of customer interactions across channels
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We identify root causes behind volume, cost, and dissatisfaction
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We translate insight into prioritised actions for leadership teams
What you get every day
Decision brief
A concise summary of what changed, why it matters, and where to act.
Top drivers
The main reasons customers contact you, ranked by impact and urgency.
Recommended actions
Clear, prioritised actions linked to cost, volume, and customer experience.
Request a demo
We review every enquiry personally.
If there is a strong fit, we will outline the next steps together.
