Private customer intelligence

AI decisioning for better customer outcomes

Turn business signals into decisions that retain customers, prioritize opportunities, and make engagement more relevant.

A private model for each business.

Introducing EkamFlow

Introducing EkamFlowLaunch film · 1 min 22 sec
Business signalsAI decisioningCustomer outcomes

How it works

Signals in. Better decisions out.

Connect business data to the decisions teams make every day.

01 · Connect

Business data

Customer recordsPurchase historyEngagement signals

Start with the data in an existing warehouse or customer platform.

02 · Decide

EkamFlow AI decisioning

Identify customer risks, opportunities, and relevant actions.

One business. One private model.

03 · Act

Existing workflows

Sales prioritiesMarketing campaignsCustomer success

Deliver recommendations where teams already work.

Connected to established data platforms.

Across industries

Customer decisions, shaped around your business.

EkamFlow turns business data into customer predictions and recommended actions for retention, sales, engagement, and demand planning. Explore the workflows, useful inputs, and evaluation measures for your industry.

Security & privacy

Customer data stays private.

Clear boundaries around how business data is used and retained.

Read about data handling

A private model for each business

Each model is trained on one business’s data. It is not shared with other customers.

No customer data sharing

Customer records are not shared with other businesses or used to train their models.

No customer source data stored

EkamFlow returns predictions without retaining the underlying customer source records.

Common questions

What teams need to know.

Practical details before a product conversation.

What does EkamFlow do?

EkamFlow uses business data to generate customer predictions and recommended actions. Teams can identify churn risk, prioritize leads, estimate customer lifetime value, and choose relevant offers.

Which industries can EkamFlow help?

EkamFlow can support customer decisions in retail, financial services, media, B2B SaaS, telecom, insurance, travel, wellness, education, and manufacturing and distribution. Industry applications include repeat-purchase outreach, subscription retention, lead prioritization, relevant offers, and demand planning. The team evaluates fit around a specific business goal and available data.

Which departments can use EkamFlow?

Marketing teams can prioritize audiences and campaigns; sales can rank leads; customer success can identify churn risk; CRM teams can choose contact channels and timing; growth can test offers; operations can evaluate demand forecasts; and data and fraud teams can assess prediction and review workflows. Each use case starts with a defined problem, an action owner, and a measurable outcome.

Does EkamFlow replace existing business tools?

No. EkamFlow supplies predictions to existing sales, marketing, and service workflows. Teams can keep the tools already in use.

Is customer data shared or stored?

Each business has a private model. Customer source records are not shared with other businesses or retained by EkamFlow. Website enquiries are handled separately, as described on the privacy page.

What is needed to get started?

A defined business goal and relevant customer data. The team reviews data availability, integration requirements, and evaluation criteria before agreeing on scope and timing.

How is success measured?

Select the business metric before starting, such as retention, lead conversion, or repeat purchase rate. Compare results against an agreed baseline. Outcomes depend on the data, use case, and actions taken.

How does pricing work?

Pricing depends on the agreed use cases and prediction volume. Contact the team for a scoped proposal.

Talk to EkamFlow

Start with a business goal.

Book a demo focused on a specific customer decision.

  • Review relevant use cases.
  • Discuss data and integration requirements.
  • Agree on an evaluation approach.
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