Separate reasoning from rules
Use deterministic code for permissions, thresholds and transaction validation. Keep tool access allowlisted and require human approval before agreed high-impact actions. A model response cannot override these controls.
02 /AI for business
Put AI to work on useful business tasks.
Help your teams find answers, handle documents and reduce repetitive work.
THE MAIN STEPS
- 01Choose a task
- 02Prepare information
- 03Test the results
- 04Use and support
The business need
01 / Your business need
WHAT NEEDS TO IMPROVE
Your team may spend too much time finding answers, reading documents or completing repetitive tasks. You need to know where AI can help and how to check its work.
WHAT WE HELP YOU ACHIEVE
AI tools that help people get work done, with accuracy checks, access controls, cost monitoring and human review of important decisions.
Grounded answers, controlled actions
For an internal knowledge assistant or a bounded agentic workflow: connect approved knowledge to a specific business task, then test quality before extending access or autonomy. This is a reference design, not a deployed customer system.
- 01Microsoft Entra IDAuthenticate the user and establish permitted access
- 02Azure API ManagementApply API policies, quotas and request controls
- 03Application & orchestrationEnforce business rules and permitted tool actions
- 04Approved model endpointGenerate a response within the agreed task scope
Retrieval branch: Azure AI Search + approved source storage
The application retrieves permitted content using hybrid keyword and vector search. Preserve document access rules, source references and content freshness; retrieved text is evidence, never authority to execute an instruction.
Evaluate before release
Test retrieval relevance, groundedness, task completion and unsafe behaviour on representative Arabic and English examples. Include conflicting sources, prompt-injection attempts and refusal or escalation cases. RAG reduces some risks; it does not guarantee accuracy.
Release with evidence
Agree acceptance thresholds, record evaluation results and obtain an accountable go/no-go decision. Version prompts, retrieval configuration and tool policies; prepare rollback and an incident runbook.
Technical references: Microsoft reference architecture · Hybrid retrieval · RAG evaluation
Review trust and data boundaries
AI ASSISTANTS · DOCUMENTS · AUTOMATION02 / How we help
What we can
help you with.
We build AI assistants and tools that use your approved information to answer questions and support everyday tasks. We test their accuracy, protect access to data and include human checks where needed. Solutions can support Arabic and English.
Answers from your information
Connect approved documents and data so people can find useful answers with sources.
Help with repetitive tasks
Automate selected steps, such as reading documents or routing requests, with clear limits and human checks.
Control over quality and cost
Track answers, errors and usage so you can decide where the AI is useful and what needs to change.
03 / Service offerings
A closer look at
what we deliver.
Choose the services that fit your challenge. We agree priorities, scope and success measures with your team before delivery.
01 / Applied AI
AI strategy & readiness
Choose where AI can help your business, what needs to be ready and which idea deserves the first investment.
What we can help you with
- Use-case discovery and prioritisation
- Data, technology and operating readiness
- AI roadmap, ownership and adoption planning
Example use
Compare three service bottlenecks and select one AI use case with an agreed business measure.
What we can measure
Use cases with clear ownersEvidence for investment decisions
02 / Applied AI
AI copilots & knowledge search
Help employees find useful answers in approved business information, with source references and access that follows their role.
What we can help you with
- Enterprise copilots and assistants
- Retrieval-augmented generation (RAG)
- Knowledge search and answer evaluation
Example use
Help a service agent find the right policy and check its source before responding to a customer.
What we can measure
Answer usefulnessTime spent finding information
03 / Applied AI
AI agents & connected workflows
Let AI coordinate defined tasks across your systems, with people approving sensitive actions and handling exceptions.
What we can help you with
- Agent design and tool integration
- Multi-step workflows and approvals
- Evaluation, monitoring and escalation
Example use
Prepare a customer-service resolution by gathering account details and drafting the next action for approval.
What we can measure
End-to-end processing timeHuman intervention rate
04 / Applied AI
Business process automation & RPA
Reduce repetitive work by simplifying the process first, then automating the steps that have clear rules and ownership.
What we can help you with
- Process mapping and improvement
- UiPath and robotic process automation (RPA)
- Workflow approvals and exception handling
Example use
Move routine invoice checks into an automated flow and route mismatches to the right reviewer.
What we can measure
Manual effort per transactionException backlog
05 / Applied AI
Document & language intelligence
Turn incoming documents and messages into information teams can check, search and use in their daily work.
What we can help you with
- Document extraction and classification
- Text analysis and language processing
- Human review and confidence thresholds
Example use
Extract key fields from supplier documents and send uncertain values to a person for review.
What we can measure
Field extraction accuracyReview time per document
06 / Applied AI
Machine learning & predictive models
Use patterns in your data to support forecasts, recommendations and earlier detection of unusual activity.
What we can help you with
- Forecasting, classification and recommendations
- Anomaly and fraud-detection models
- Model validation and business integration
Example use
Help an operations team forecast demand and compare the prediction with actual volumes before wider use.
What we can measure
Forecast errorFalse alert rate
07 / Applied AI
AI deployment, MLOps & LLMOps
Move a useful model into a service your business can operate, monitor and improve as data and needs change.
What we can help you with
- Model and prompt release pipelines
- Quality, safety and drift evaluation
- AI observability and consumption controls
Example use
Track whether a knowledge assistant remains accurate after a policy update and roll back a poor release.
What we can measure
Evaluation pass rateCost per completed task
Examples illustrate possible uses. Measures are agreed against your starting point; they are not promises of a specific result. Platform names describe technologies we can support. They do not imply a CodeX71 certification, vendor partnership or endorsement.
Our expertise04 / Business examples
How this can help
your business.
Examples of how this service could help. These are not completed customer projects.
Finding information
Answers from your approved documents
Help staff ask questions in Arabic or English and see the source behind each answer.
Plan your projectEveryday tasks
Less repetitive work
Let an AI assistant carry out agreed tasks, with clear permissions and approval from a person when needed.
Plan your projectDocument handling
Spend less time reviewing paperwork
Read and sort information from documents, flag exceptions and pass important decisions to the right person.
Plan your project05 / How we work
How we work
with your team.
WHAT HAPPENS AT EACH STEP
- 01
Choose a useful task
Agree the business need, available information and how you will judge the result.
- 02
Try it on a small scale
Build a trial version, check answers and mistakes, and decide where people must review the work.
- 03
Put it into everyday use
Connect it to the right systems, control access and keep checking quality and costs.
06 / How we measure success
BUSINESS RESULTSHow we measure
progress.
Useful results
Tasks completed and relevant answers
Accuracy
Answers supported by sources and issues needing human review
Value
Time and cost per completed task
We agree the measures and targets with you, based on your starting point and the work included.
UAE PRIORITIES. PRACTICAL ACTION.
Connect this service
to your UAE priorities.
Explore practical outcomes and the relevant initiatives, then choose a first step for your organisation.
YOUR QUESTIONS
What you need to know.
What is the difference between an AI assistant and an agent?
An assistant helps people find information or prepare work. An agent can also carry out a series of tasks. We choose the approach around your needs, with agreed permissions and human checks.
Can AI use confidential business information?
We first agree which information it can use, who can access it and where it can be hosted. Security checks and approved use are part of the plan before launch.
Discuss your application
or AI use case.
Start with a free workshop. Customers and partners can define the problem, the intended outcome and a practical next step.
Book a free workshopThe initial discovery and consultation workshop is free. Detailed assessments, POC, POV and delivery work are scoped and priced separately before you decide to proceed.