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Put approved customer data behind one sales or service decision.

Match the records the team is allowed to use, calculate the signal for one decision, and send the recommendation to a person before anything changes.

Scope an AI workflow pilot
Best for
Customer decisions slowed by fragmented data and manual analysis
Starting point
One sales, service, or retention decision
Typical pilot
2-4 weeks
Decision at the end
Integrate the workflow, revise the signal, narrow the use, or stop

Customer records are matched under the agreed identity and privacy rules. A reviewer sees the signal and recommendation before approving the next step.

Move from approved records to a reviewed action.

Approved customer sources

Customer evidence

Reviewed action

This workflow needs

  • A business owner who can name the decision and the action it may trigger
  • Approved customer records and rules for matching identities
  • Reviewers who can compare the recommendation with the current method

Not a fit: a customer dashboard or prediction model with no decision owner, review point, or action path.

How the engagement runs

Three steps, then a decision.

  1. Define

    Name the owner, the current method, the approved records, the review point, and what a useful recommendation must contain.

  2. Connect

    Match only the customer records needed for the decision and route the recommendation to its reviewer.

  3. Test

    Compare recommendation quality, reviewer effort, use, and follow-through with the current method.

Bring us the customer decision your team keeps making by hand.

We will name the approved records, the reviewer, and the action the recommendation may trigger.