AI services

    Strategy is useful when it can survive contact with execution.

    I work across product, AI, data and operations so the output is not just a recommendation — it can become a tested system your team can actually run.

    01

    AI Product & MVP Development

    From business problem to working AI product.

    Product strategy, UX, architecture, rapid prototyping, evaluation and production deployment for custom AI applications.

    Best fit: Teams validating a new AI product or replacing a manual workflow with software.

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    Deliverable

    Product architecture

    Deliverable

    Production-ready MVP

    Deliverable

    Evaluation & QA

    Deliverable

    Deployment roadmap

    02

    Enterprise RAG & AI Copilots

    Grounded answers from your own knowledge.

    Retrieval-augmented generation systems for policies, products, operations, support and regulated knowledge with citations and governance.

    Best fit: Customer service, operations, healthcare, retail and internal knowledge teams.

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    Deliverable

    Hybrid retrieval

    Deliverable

    Claim-level citations

    Deliverable

    Bilingual UX

    Deliverable

    Knowledge governance

    03

    Automation & Agentic Workflows

    Turn repetitive work into reliable systems.

    Workflow automation, AI agents, orchestration, alerts, document intelligence and human-in-the-loop operating systems.

    Best fit: Operations teams with repetitive, high-volume or multi-system work.

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    Deliverable

    Process automation

    Deliverable

    Agent orchestration

    Deliverable

    Human approval gates

    Deliverable

    Operational monitoring

    04

    Data, BI & Performance Systems

    Make decisions from one trusted operating view.

    Executive dashboards, KPI architecture, data models, forecasting and performance systems that connect operational reality to decisions.

    Best fit: Leaders who need consistent visibility across sales, service, finance or operations.

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    Deliverable

    KPI architecture

    Deliverable

    Executive dashboards

    Deliverable

    Forecasting

    Deliverable

    Performance analytics

    05

    Healthcare & Pharmacy AI

    Practical AI for regulated, human-centered workflows.

    Healthcare education, pharmacy support, clinical workflow tools and evidence-aware decision support designed with safety and usability in mind.

    Best fit: Healthcare, pharmacy, wellness, medical education and patient-support organizations.

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    Deliverable

    Clinical workflow design

    Deliverable

    Pharmacy tools

    Deliverable

    Evidence-aware UX

    Deliverable

    Training systems

    06

    AI Strategy, Training & Enablement

    Move teams from experimentation to repeatable capability.

    Use-case discovery, adoption roadmaps, workshops, hands-on training and operating playbooks for practical AI at work.

    Best fit: Organizations that want measurable AI adoption without random tool sprawl.

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    Deliverable

    AI opportunity map

    Deliverable

    Team workshops

    Deliverable

    Governance playbook

    Deliverable

    Adoption roadmap

    Solution finder

    Describe the friction. Then choose the technology.

    A strong AI project starts by locating the expensive delay, repeated decision or knowledge gap.

    Recommended starting point

    Enterprise RAG & AI Copilot

    Centralize policies, product knowledge and operating guidance with grounded answers, citations and role-aware retrieval.

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    Delivery model

    One path from problem to proof.

    Engagements can stop at discovery, continue through an MVP, or extend to deployment and iteration. The scope is explicit before the build expands.

    Evidence-first delivery

    Acceptance criteria, testable workflows and visible constraints are preferred over vague “AI magic” claims.

    01

    Discovery & workflow mapping

    02

    Solution architecture

    03

    Prototype / MVP

    04

    Evaluation & QA

    05

    Production deployment

    06

    Enablement & iteration

    Directional estimator

    What is repetitive work costing?

    Potential monthly capacity value

    32,475 EGP

    Potential annual capacity value

    389,700 EGP

    Directional only — this is not a savings guarantee. A real business case should include process variability, implementation cost, adoption, controls and the value of quality improvements.

    Start small, prove value

    A focused MVP can answer the question that matters: is this worth scaling?

    Send the current workflow, team involved, pain point, available data and what success would look like.

    Scope an MVP