Customer satisfaction rating: 4.7 out of 5

From raw data to business action.

Datakili's Agentic Business Cockpit connects specialized AI agents directly to your raw company data. It calculates business metrics on demand and identifies operational bottlenecks.

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How it works

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.

Agentic Business Cockpit: data feeds AI modules, which drive business KPIs.
Agentic Business Cockpit

Answers you can act on

Results land in the KPIs your teams already steer by: quote-to-policy, first-contact resolution, cost of friction, satisfaction and NPS. Custom KPIs plug in the same way.

Click a KPI to see matching use cases

AI agents do the work

Data Quality Agent

Consolidates, cleanses and enriches your data, and raises its audit scores, so every analysis stands on solid ground.

Learn more: Data Quality Agent
Your data
Calls & emails CRM & contracts Surveys & reviews Web & app journeys Chats & social Billing & payments

Start from what you already have

Calls, emails, CRM, surveys, digital journeys. No matter the source or state of the data: the Data Quality Agent consolidates, cleanses and enriches it first.

Explore integrations

Answering thousands of questions every day

  • Where are we losing customers?

  • Which customers are about to churn?

  • Which clients are the most unsatisfied and why?

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
Back to use cases

Business question
Data required
Sample result
Trusted for Datakili's business intelligence

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