STRIV insights
Practical guides to AI, data, customer experience, loyalty and digital transformation. Understand the choices, challenge the assumptions and define what success should look like before you commit.
Explore the guides
The field guides
Start with your challenge. Each guide connects the problem to a working method, measures and a practical next step.
11 guides · Practical thinking for real business decisions
Digital transformation
Turn competing initiatives into a phased transformation roadmap, with business priorities, system dependencies, accountable owners and measurable release gates.
5 minute read
Read the guideData & analytics
Where Databricks, Snowflake, Microsoft Azure, AWS, Tableau and Power BI fit—and how to connect platform choices with trusted metrics and useful decisions.
7 minute read
Read the guideAI implementation
Select an AI use case around a real operating problem, compare alternatives and test the assumptions behind value, quality and total cost.
4 minute read
Read the guidePlatforms & integration
Plan system ownership, interface contracts, failure handling and reconciliation before connecting CRM, ERP, data platforms and AI workflows.
4 minute read
Read the guideAI governance
Turn AI principles into practical controls: permitted uses, data access, testing, human decisions, incident response and accountable ownership.
4 minute read
Read the guideProgram delivery
Assess a delayed transformation program, separate usable work from unresolved assumptions and create a credible recovery plan with clear decision gates.
4 minute read
Read the guideAdoption & change
Plan role-based adoption, useful training, support and performance reviews so a new platform becomes a service the business can run and improve.
4 minute read
Read the guideCX & loyalty
Turn customer feedback and journey mapping into practical changes across channels, service recovery, CRM and the measures that show whether the experience improved.
4 minute read
Read the guideCX & loyalty
Build a loyalty proposition around customer value, repeat behavior, reward economics and credible measurement—not just enrollment or points issued.
5 minute read
Read the guideAI implementation
Plan a customer-service AI pilot with clear resolution measures, human review, Arabic and English test cases, and a transparent capacity-value calculation.
7 minute read
Read the guidePlatform modernization
Scope Salesforce CRM modernization around a real customer journey: data ownership, integrations, release readiness, operating costs and measurable acceptance.
7 minute read
Read the guideInside the analytics guide
Databricks · Snowflake · Microsoft Azure · AWS · Tableau · Power BI
Understand where cloud, data engineering, governed metrics and business intelligence fit together.
Explore the platform guideFrom method to project context
Follow the problem, the connected workflow and the design benefit in these project perspectives. Then explore how the same questions apply to your operating context.
Understand our delivery approachApply the thinking
Explore how we shape the scope around your systems, people and operating environment.
AI, data and transformation around your operational priorities.
Practical digital progress shaped around your operating environment.
Discuss the decisions, current systems and evidence needed to assess your next step.
Our guides are educational. Worked examples show their assumptions and do not represent verified client results. Implementation scope is agreed separately.
