From raw data to business decisions.
In 72 hours. For free.

A pipeline of agents that works on your data.

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An interactive demo to start, no data required. You'll test your own data with an expert once you're ready.

Agentic Business Cockpit
Agents at work
Cockpit signal
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1. Explore, then upload

Try the cockpit on a demo of your use case, then upload your data whenever you're ready (drag & drop).

2. The agents get to work

Data quality, patterns, verbatims and recommendations, orchestrated automatically.

3. You get the results

Actionable diagnosis, presented in a workshop with a customer journey expert.

Trusted for Datakili's business intelligence
Agentic Business Cockpit

Whatever your pain point is,
the solution lies in the data.

Uncover it with Datakili's Agentic Business Cockpit. It can be extended with the modules you need.

One Agentic Business Cockpit. Multiple modules to choose from.

Verbatim Analysis

"delivery was super fast" "support took 3 days to reply" "love the new app design" "checkout is a bit confusing"

Reads open-text feedback to surface what customers are really saying.

Customer Journey Optimizer

Maps end-to-end journeys to find friction points and drop-offs.

Data Quality Agents

Enhances audit scores and enriches your data so every analysis stands on solid ground.

AI Phone Agent

Takes out- and inbound calls 24/7 on your behalf. Select market-leading technology, enhanced by your data built for your context.

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Add a module Built to fit your needs.
Use case catalog

Explore the full use case catalog

Filter by industry, business function or objective. Click a use case to see the business question addressed, the data required and a sample result.

Industry sector
Business function
Business objective
Retail
Insurance & health insurance
Cross-sector

AI phone agent: evaluation & implementation

Can all or part of inbound calls be handled by an AI phone agent, for which call reasons, with what level of quality and risk, and for what return on investment?

Cost reduction

Churn / early warning signs before cancellation

Which customers are about to cancel, and why?

Churn reduction

Cross-sell / multi-product opportunities

At which points in the journey is a customer most receptive to a complementary offer?

Revenue growth

Data Quality Agent: continuous monitoring of data feed quality

Is the data feeding our KPIs and analyses complete, consistent and up to date, and how can we know without asking IT every time there is a doubt?

Data quality

Processing times and service commitments

Do we meet our stated deadlines, and what is the impact when we don't?

NPS improvement

Customer data quality and completeness (DQ audit)

Can we trust our customer data to steer the relationship?

Data quality

Bill / statement confusion

Which billing items generate the most confusion and contacts?

Cost reduction

Vulnerable customers / financial hardship: detection and support

How can we identify customers in financial hardship early to adapt our support?

Compliance secured

Unpaid bills: preventive collection journey

What signals precede a missed payment, and how can we act before it happens?

Cost reduction

Satisfaction and NPS drivers

What really drives our NPS up or down?

NPS improvement

Complaint analysis and root causes

What are the real causes behind our complaints?

NPS improvement

Repeat contacts (root causes)

Why do customers contact us again and again about the same issue?

Cost reduction

Cancellation journey (retention, win-back)

How does the cancellation journey unfold, and where should we act to retain or win back customers?

Churn reduction

Call routing and transfer effectiveness

Do our calls reach the right person on the first try?

Cost reduction

Behavioral customer segmentation

What major behavioral profiles emerge from our customer journeys?

Revenue growth

Self-service and digital journey effectiveness

Do our digital journeys really meet customer needs, or do they push customers back to the phone?

Cost reduction

Sign-up / enrollment journey (drop-offs)

When and why do prospects abandon their sign-up?

Revenue growth

Voice of the customer / verbatim analysis

What are our customers really saying, beyond satisfaction scores?

NPS improvement
Energy & telecom

Business question
Data required
Sample result
Demo · 1 min
Trusted for Datakili's business intelligence

See the cockpit in action on this use case

Explore an interactive demo with data representative of your industry, without sending us anything. You can then test on your own data, with an expert by your side.

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✓ No installation, no IT project
✓ Results presented in a workshop with an expert

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