01
A prototype outside the product
The demo works on selected examples but lacks the access, testing and operations needed for users.
AI / AI systems
Data, models, application interfaces and evaluation designed as one product system, so an AI prototype has a considered route into everyday use.
Scope, timeline and pricing agreed after reviewing your needs.
A feature built from connected layers
- 01Data
- 02Models
- 03Services
- 04Experience
Illustrative concept, not a live system or measured result.
AI systems
Data workflowsModel evaluationApplication APIsProduct integration
Who this is for
For prototypes that cannot reach users because access, integration, quality and operating cost were never designed as one system.
02
Data without a usable path
Sources, permissions and update processes need to connect before a feature can rely on them.
03
Quality and cost are hard to see
The team cannot explain which model changes helped or why usage costs changed.
What you get
The data path, model and API boundaries, the interface, application controls, an evaluation set and version review, agreed before implementation.
Product and data discovery
Define the user task, source constraints and acceptance criteria before selecting technology.
A maintained data path
Plan ingestion, access, freshness and failure handling for the required inputs.
A connected AI architecture
Bring data, model calls, application services and the interface into one documented design.
A feature built from connected layers
DataPrepare permitted inputs with clear ownership.
ModelsCompare behaviour against the product task.
Application servicesApply validation, access rules and usage limits.
Data workflowsModel evaluationApplication APIsProduct integration
Application controls
Implement agreed validation, permissions, usage limits and sensitive-data handling.
Evaluation and observability
Track behaviour, failure cases and operating cost against an agreed evaluation set.
A usable product experience
Design how users review results, understand limitations and provide feedback.
How we work
Define the feature and its data limits, compare models against evidence from the task, implement the first experience and release it with monitoring and an owner.
Define the feature
Agree the user need, data boundaries and the evidence required to release a first version.
Start with the product task.
- User journey
- Data constraints
- Acceptance criteria
Connect the layers
Design the data, model, service and interface boundaries with access and operating needs in view.
One documented system.
- Data contracts
- Model comparison
- API boundaries
Build and evaluate
Implement the first experience and test realistic input, failure and misuse scenarios.
Test the product, not just the prompt.
- Behaviour evaluation
- Integration tests
- Cost review
Release with feedback
Introduce the feature to the agreed audience and define monitoring and change review.
A release with an owner.
- User feedback
- Operational checks
- Version review
Explore the possibilities
Illustrative concepts from our demo portfolio. They show possible experiences, not commissioned client projects, platform-specific implementations or measured results.
A product surface for knowledge
The knowledge-assistant concept illustrates a possible user experience for an AI feature. Its underlying data and model architecture would be designed separately.
Visibility beneath the feature
The cloud-console concept offers an example of how operational information could be organised for a product team.
PLANS & INCLUDED BENEFITS
Discovery ends with an architecture, wireframes and estimate, with no production build. The pilot delivers one feature on a commercial model API for one role and one data source; the launch plan is limited to two features with the stated screens, roles and integrations. No plan includes training a foundation model.
Defined scope
AI system discovery
Define a buildable AI product around one business problem.
Starting from
8,000SAR
/ project · excl. VATOne-time project fee. Support beyond the included period is quoted separately.
Included in your plan
- Up to 2 discovery workshops
- Data readiness review and one architecture proposal
- Prototype wireframes for up to 3 screens
- Evaluation plan and delivery estimate; no production build
Architecture review session included
Included in the starting price. Scope and limits are listed below.
Recommended
AI product pilot
A limited working application to validate one AI feature.
Starting from
35,000SAR
/ project · excl. VATOne-time project fee. Support beyond the included period is quoted separately.
Included in your plan
- One AI feature using a commercial model API
- Up to 5 interface screens and one user role
- One data source and one documented integration
- 30-scenario evaluation and staged deployment
Team handover session included
Included in the starting price. Scope and limits are listed below.
Defined scope
AI product launch
A scoped production application with operational controls.
Starting from
75,000SAR
/ project · excl. VATOne-time project fee. Support beyond the included period is quoted separately.
Included in your plan
- Up to 2 AI features and 10 bilingual screens
- Up to 3 user roles and 2 documented integrations
- Usage logging, approval controls and model versioning
- 60-scenario evaluation and release documentation
30-day defect fixes included
Included in the starting price. Scope and limits are listed below.
Starting prices in SAR, excluding VAT where applicable. Final scope and price are confirmed in your proposal. Model/API usage, hosting, software subscriptions and major data cleanup are separate. Scope assumes client-provided access to documented APIs and approved data. No foundation-model training or autonomous high-risk decisions. Handover is one 60-minute session; included defect fixes cover the delivered scope for 30 days.
Before we start