Data & cloud foundations
- Databricks
- Snowflake
- Microsoft Azure
- AWS
Choose architecture for the workload, data location, integration needs and operating capacity.
STRIV Global · Solutions
Move the business
forward.
We connect AI, data and digital transformation consulting with accountable delivery. From a customer journey to a critical platform, we help you define the change, put it into operation and measure what improves.
IntelligenceExperienceExecution
Start with the friction
What needs to work better?
Explore the problem, the work and the measures together. Each solution connects a business priority to something your teams can use, operate and improve.
AI & Agentic AI
Put intelligence to work.
Experiments are multiplying. Useful production work isn’t.
Choose a valuable workflow, connect approved knowledge and systems, and give agents clear action limits, human escalation and a practical operating owner.
What we put in place
- Prioritized use cases and investment case
- Connected workflow, evaluation and approval controls
- Rollout, monitoring and support plan
Measures to agree
Completed resolutions · Human effort · Quality · Total operating cost
Read the practical guideDeliverables and measures shown are starting points for an agreed scope. Targets, timing and value depend on the baseline, systems, responsibilities and implementation.
Technology in context
Your investment.
A connected foundation.
Build around the platforms you have and the decisions you need to make. We frame the architecture, integration and delivery choices before recommending a technology change.
BI & decision experiences
- Power BI
- Tableau
- Qlik
Connect governed measures to useful dashboards, performance scorecards and accountable decisions.
Enterprise journeys
- Salesforce
- SAP
- Oracle / JDE
- IBM Maximo
Join business processes, customer records and operational platforms through defined interfaces.
Platform names illustrate the technology landscape we can discuss. Specific product scope, specialist responsibilities, licensing and vendor relationships are confirmed per engagement.
Read the data platforms & BI guideA practical delivery path
From a clear brief
to work that runs.
The plan connects business ownership, technology, risk and adoption. Each stage ends with an output and a decision, so progress is visible beyond the status report.
- 01
Define the decision
Establish the business problem, baseline, owner and constraints. Identify the journey that needs to work better.
Output: agreed problem and success measures - 02
Design the response
Connect process, data, architecture and responsibilities. Agree the scope, controls and acceptance criteria.
Output: delivery blueprint and prioritized plan - 03
Build and prove
Deliver a usable increment, test real exceptions and rehearse how people will operate and support it.
Output: tested release and acceptance evidence - 04
Operate and improve
Transfer ownership, review adoption and compare performance with the baseline before expanding the scope.
Output: operating handover and benefits review
Diagnose & prioritize
A focused assessment and roadmap when the next investment or dependency needs to become clear.
Build & release
A bounded implementation with agreed integration, evaluation, acceptance and operating handover.
Recover & lead
Direct program leadership to reset the critical path, decisions and release responsibilities.
See the thinking in context
A project to explore.
A method to apply.
See how the product, data and operating decisions connect. Project perspectives and educational guides are identified so you can assess the evidence behind each story.
Project perspective · Connected health
Afiyah: experience, intelligence and care.
Explore Sanad, connected records, family support and the prepared Pulse Analytics views behind a more joined-up health experience.
Explore the Afiyah project
Practical guide · Value measurement
Make the business case before the pilot.
Define the workload, compare a credible baseline and account for quality, recurring cost and how the benefit will be realized.
Read the business-case guideApply the solution to your sector
Shape the scope for your market
Before we begin
A clearer start.
You do not need a finished specification. Bring the problem, your existing systems and the decision you need to make.
Where should we start if several areas need attention?
Start with a decision or journey that is creating measurable friction. We can map the process, data, systems and ownership behind it, then agree a bounded first scope and the dependencies that must come first.
Can STRIV work with our existing platforms and delivery partners?
Yes. The first step is to understand the existing investment, integration boundaries and operating capacity. Architecture and delivery responsibilities are agreed with your teams and partners; a platform replacement is not assumed.
What does a first engagement produce?
The agreed scope can produce a diagnostic and prioritized roadmap, a controlled implementation, or a program recovery plan with direct delivery leadership. Deliverables, acceptance criteria, responsibilities and commercial terms are defined before work starts.
How will we know whether the work creates value?
Agree the baseline, measure definition, source, period and accountable owner before implementation. Compare quality, adoption and operating cost alongside speed. Separate released capacity, cash savings and revenue effects so the same benefit is not counted twice.
How are security, AI risk and adoption handled?
They are part of the delivery design. The scope should define data permissions, action limits, evaluation, human review, release gates, operating ownership and support. Specific controls and assurance depend on the system and agreed engagement.
Your next move
Bring the priority.
Let’s make it actionable.
Tell us what needs to change, the systems involved and what a useful result would look like. We’ll help frame the next conversation.