Pre-built forecasting models
Start from a suitable model and assess it against your data before using its output operationally.
Products
Tawaqqu Predict
Connect the prediction with an accountable decision.
Tawaqqu Predict starts with a decision, such as which service case to review first. The value depends on how mistakes affect the process, not only how often a model is correct. Review examples, the source information and the person who can challenge or confirm a recommendation before it changes the workflow.
A prediction needs a decision attached to it.
Inside the workspace
Tawaqqu Predict: a closer look
Explore how the product could bring its tools and working records into one view. Review the workflow design during your product walkthrough.
Features & client solutions
What this helps your team solve
Connect each capability to a day-to-day task and a practical result your team can evaluate.
Churn & risk scoring
Rank cases for review using churn or risk indicators to focus follow-up effort.
Custom model training
Train and evaluate models on the agreed business problem rather than assuming one model fits every team.
Bring one example from your daily work. We can review the records involved, who owns each step and which integrations are needed before defining the implementation scope.
Discuss your workflowProduct fit
Tawaqqu Predict for the way your team works
This workspace focuses on reviewing forecasts or risk estimates alongside the data and assumptions behind them. Human review and performance monitoring help teams recognize when a useful model no longer fits current conditions.
Areas to assess in a walkthrough
- Pre-built forecasting models
- Churn & risk scoring
- Custom model training
- Real-time prediction API
- Visualization dashboards
In practice
Tawaqqu Predict: a practical example
Choose a prediction tied to a decision, such as which service case needs attention first. Review incorrect predictions as well as successful ones. Set a human review point where the consequences of a wrong recommendation are significant.
An illustrative scenario to discuss when planning your project.From records to decisions
How your team works with Tawaqqu Predict
The people involved include data scientists, business reviewers and model owners. Begin with a small, representative set of training examples, outcome labels, evaluation splits and decision thresholds, then identify the decision or action each role needs to complete. This helps shape a useful first release and avoids collecting information that nobody uses.
Agree the meaning before presenting the result.
Two teams can use the same label for different measures. Confirm the calculation, source, reporting period and refresh timing before building the view. Make it possible to explain a result and identify missing or delayed inputs, so a dashboard supports a decision instead of hiding the assumptions behind it.
Implementation approach01 02 03 04
From agreed scope to everyday use
Review the starting point
Identify the current sources of training examples, outcome labels, evaluation splits and decision thresholds. Check data quality, shared references and required fields before agreeing what will be migrated, connected or recreated.
Define roles and connections
Review the needs of data scientists, business reviewers and model owners. Document permissions, required integrations, the authoritative system for each record and what happens when information cannot be exchanged.
Test an end-to-end case
Use safe sample data to evaluate predictions on held-out examples and review a misleading score. Agree expected results, review exceptions and record acceptance decisions before widening access.
Prepare the operational handover
Name the configuration owner, change decision-maker and support contact. Plan training and documentation around ordinary tasks, then review early use under the agreed support arrangement.
Practical details
Questions before getting started
What should we bring to the first walkthrough?
Prepare examples of training examples, outcome labels, evaluation splits and decision thresholds, with confidential details removed. Explain the step that takes the most effort or causes confusion, and identify who needs to review the result.
How do we decide whether it fits our work?
We define a scenario that lets your team evaluate predictions on held-out examples and review a misleading score. Compare the result with the current process and document requirements and gaps before approving the implementation scope.
Can it connect to our existing systems?
The required systems and data sources are reviewed first. The integration plan covers access, field mapping, transfer timing and responsibility for errors. The proposal identifies included connections and any custom work needed.
How are pricing and support agreed?
The proposal considers features, users or workload, the operating environment, integrations and migration. Training, operational ownership and the support arrangement are agreed alongside the implementation scope.