Use the right tool
Rules and ordinary software handle predictable work. Small specialist or fine-tuned models can handle repeatable AI tasks. Larger models are used where testing shows a worthwhile benefit.
Data integration
Bring data from accounting, sales, inventory and spreadsheets into one dependable flow.
- When it helps
- Your teams keep copying figures between systems that do not talk to each other.
- What we deliver
- Connected sources, scheduled data transfers, shared definitions and checks that flag missing or inconsistent records.
Example: combine branch sales and stock records for a daily operating view.
Discuss this serviceStarts with
- Branch sales
- Stock records
- Accounting
The work
- Connect sources
- Align definitions
- Check records
Leads toA connected data flow
- Shared structure
- Scheduled updates
- Visible exceptions
Reporting & dashboards
Replace repeated spreadsheet preparation with reports your team can trace and use.
- When it helps
- Producing the report takes longer than acting on it, and different teams report different numbers.
- What we deliver
- Agreed business measures, automated reports or dashboards, source traceability and exception checks.
Example: a recurring management report assembled from accounting, sales and inventory.
Discuss this serviceStarts with
- Sales data
- Account balances
- Inventory
The work
- Agree measures
- Reconcile figures
- Prepare the report
Leads toA management report
- Traceable figures
- Recurring delivery
- Exceptions to review
Workflow automation
Move requests, documents and approvals through the right steps, with people in control.
- When it helps
- Work stalls in inboxes, messages and manual handovers.
- What we deliver
- Connected forms and systems, routing rules, approval steps, notifications and a record of what happened.
Example: a purchase request moves from submission to manager and finance approval inside Slack.
Discuss this serviceStarts with
- Purchase request
- Approval policy
- Team roles
The work
- Check the rules
- Ask the right person
- Record the decision
Leads toA recorded approval
- Clear ownership
- Status notifications
- Decision history
AI & model development
Build or adapt a model for a specific job, with quality and running cost measured together.
- When it helps
- A general AI tool is too expensive, inconsistent or poorly matched to your work.
- What we deliver
- A tested approach using rules, conventional machine learning, a small specialist model, fine-tuning or a larger model where it adds value.
Example: train a model to classify incoming documents and send uncertain cases for review.
Discuss this serviceStarts with
- Task examples
- Training material
- Evaluation cases
The work
- Choose an approach
- Train or adapt
- Test quality and cost
Leads toA model for the task
- Measured performance
- Defined limitations
- Human review path
Knowledge search
Help staff find answers in approved documents, with references they can check.
- When it helps
- Useful knowledge is scattered across policies, files and old conversations.
- What we deliver
- Document ingestion, permission-aware retrieval and answers linked to their sources, tested on relevant Arabic and English material.
Example: a staff assistant that finds the current policy and points to the relevant passage.
Discuss this serviceStarts with
- Approved policies
- Access permissions
- A staff question
The work
- Find permitted sources
- Retrieve passages
- Link the answer
Leads toAn answer with sources
- Relevant passages
- Source references
- Permission boundaries
Managed operations
Keep the delivered workflows running, monitored and supported as your needs change.
- When it helps
- The workflow has been built, but someone still needs to watch it, fix failures and manage changes.
- What we deliver
- Scheduled operation, monitoring, incident handling, model and data checks, documentation and support within an agreed service scope.
Example: monitor a daily reporting pipeline and investigate failed or incomplete updates.
Discuss this serviceStarts with
- Scheduled workflows
- Run logs
- Support agreement
The work
- Monitor operation
- Investigate exceptions
- Manage changes
Leads toAn operated workflow
- Run visibility
- Incident handling
- Agreed support
Illustrative examples, not live systems or client results.
Efficient AI built around your business.
Not every task needs a large, expensive AI model. We choose the lowest total-cost approach that meets the agreed quality, speed and data requirements.
Train for a defined task
We can prepare training examples, fine-tune an existing model, distil a larger model where rights allow, or train a small task-specific model when the data and economics support it.
Measure the complete cost
Compare quality on separate evaluation examples, including Arabic and English where relevant. Count training, hosting, usage, retries, maintenance and human review per accepted result.
Plan for difficult cases
Test when a workflow should ask a person or use a more capable model. Keep escalation within the agreed data-handling boundary.
Specialist products
Explore these for a particular use case. We’ll discuss current capabilities, suitability and any implementation needed before proposing a solution.
A smaller starting point
For a focused administrative task, explore the small-business packages and discuss whether their scope fits your process.
View small-business packagesIndependent evaluation
Need an assessment of a system built by someone else? Our evaluation service follows published exclusions and conflict rules. Testing our own implementations is delivery quality assurance, not independent evaluation.
Read the evaluation service and independence ruleStart with a defined scope
We agree the outcome and acceptance criteria first, then price assessment, implementation and ongoing operation separately.
See how we work