Our counsel sets the direction: where AI belongs, what it must prove, and who is accountable for it. The AI Software Factory builds the result into the platforms you already run. An engagement begins with a diagnosis or a defined build, depending on how well the problem is understood.
Contracts, invoices, correspondence and scans — Arabic and English.
ERP, CRM, core databases and the warehouse, read through governed connectors.
Workflows, approvals, controls and SOPs, captured from systems and from operators.
Entities and the relationships between them, across all three sources.
Questions answered with the source record attached to the answer.
Actions taken inside the tools your people already use, under approval.
Management views built on the same graph, so the numbers reconcile.
Decide where AI belongs and what it must prove first.
Review your processes, data, and systems to identify where AI is useful and what implementation would require.
You receive a data and systems inventory, a prioritised list of use cases, and a roadmap for the next 90 days. Further implementation is optional.
Make decisions about systems, integration, technical priorities, and the team needed to deliver them.
An engagement can cover an architecture review, a delivery plan, or ongoing technical leadership. Operational support is scoped separately.
Build the system on your data and connect it to the platforms you run.
Build tools that draft from approved material, answer questions from business records, or help staff prepare routine work.
We test the output with the people who will use it, including the cases where information is missing or an answer needs review.
Connect agents to the records and applications needed to complete a task, such as preparing an update or routing a request.
Each workflow defines what the agent may read or change, where approval is required, and how its actions are recorded.
Adapt AI to your terminology and tasks through business instructions, retrieval, tools, or fine-tuning where appropriate.
Model choice, hosting, and training options depend on the task and the data. We compare the results against agreed examples and requirements.
Connect customers, contracts, invoices, and other records so AI can follow the relationships between them.
Document retrieval and graph relationships can support the same answer. We define how sources are linked, how access is checked, and how the information is kept current.
Connect source systems, check incoming records, and keep the information used by AI current.
We agree which data can be accessed, how often it is updated, and what happens when a source changes or an update fails.
Help people capture documents, retrieve information, and complete work from a phone or tablet.
The application is designed around the field task. Offline operation, device access, and connections to business systems are agreed as project requirements.
Assign accountability, prepare your people, and keep the system sound.
Define how AI uses information, who is accountable for its decisions, and how risks and exceptions are reviewed.
We work with your legal and compliance teams on data handling, access rules, and evaluation. Applicable PDPL obligations and UAE AI Charter principles are considered separately; technical controls do not replace legal advice.
Teach teams to use AI for their own work, check its output, and recognise when information or a decision needs human review.
Staff sessions use relevant tasks and tools. Leadership sessions address adoption decisions, responsibilities, and the limits of the systems being introduced.
After launch, we can help monitor the system, investigate failures, and adapt it as your records and processes change. We agree who is responsible for support and whether your team will take over operation.
Our engineers work with your leadership and with the people who will use the system. Responsibilities and measures of success are agreed before implementation begins.
Agrees the scope, responsibilities, and who approves changes.
Your team explains the work and checks the result. Our engineers build, test, and document the system.
Uses agreed applications and data access, with any infrastructure changes planned before implementation.
Checks the business result alongside accuracy, reliability, and access requirements.
An answer may depend on a document, a record in your business software, and a rule your team follows. We connect those sources and define how they can be used. Reports need agreed definitions and checks against source records; agents need clear permissions for any action they take.
The documents, records, and business instructions needed for the task, with access limited to what the workflow requires.
Connections to the applications where work happens, with defined steps and a way to handle failed or incomplete operations.
Points where a person checks information or authorises a change, based on the consequences of the action.
Records of actions and failures, checks on output quality, and a named team responsible for investigating problems.
A briefing covers the process, the systems involved and what you have already tried. From there we agree whether a diagnosis or a defined build is the right first step.