01Assess
AI Opportunity Blueprint
Decide where AI is worth applying in your business, and in what order.
- Readiness summary
- Opportunity inventory
- Prioritization matrix
- Implementation roadmap
AI Strategy, Automation & Intelligent Systems
Turn your AI ideas into systems that actually work.
I help organizations design and implement practical AI solutions, automate difficult workflows, improve decision-making, and turn promising technology ideas into structured digital products.
Founder, Anunnaki Technology Solutions LLC — Delaware, Ohio. Available for remote consulting and collaboration.
Experience behind the work
Two decades of enterprise delivery behind the AI work.
Founder, Anunnaki Technology Solutions LLC
Established 2023. The company is the operating foundation behind the consulting practice and the product ventures.
MIT Professional Certificate in Data Science and Analytics
Awarded by the Massachusetts Institute of Technology (MIT xPRO) in August 2024, carrying 36 Continuing Education Units.
Enterprise technology career
Business intelligence, ETL, analytics and Oracle E-Business Suite delivery through employment and consulting engagements with Accenture, Amdocs, BMC Software, DST Innovis and Hanover Compressor.
Telecommunications executive and technology leader
Executive leadership across national connectivity infrastructure, covering governance, stakeholders, procurement, operational risk and service continuity.
Capability
Data and systems integration
Oracle E-Business Suite, ETL, business intelligence, analytics, databases, cross-module reporting and enterprise application customization.
Capability
Founder-led product development
AI, automation, SaaS, media, education and community-platform initiatives taken from concept through structured planning and active development.
Enterprise organizations
Accenture
Direct employee — Business Intelligence and ETL Consultant
Amdocs
Consultant retained after acquisition, then hired directly
BMC Software
Business Intelligence, ETL, analytics, and statistical-analysis consultant
DST Innovis
Business Intelligence and ETL consultant engaged through a recruiting partner
Hanover Compressor Company
Oracle E-Business Suite technical implementation and customization consultant
Prior employment and consulting engagements, listed as professional history. These organizations are not clients of Anunnaki Technology Solutions LLC and do not endorse this practice.
Start with the business problem
You do not need another AI tool. You need clarity about what is worth changing.
Many organizations feel pressure to adopt AI but are unsure which problems are worth solving, whether their data is ready, or how new workflows will affect employees and customers. I begin with the current business process—not a preferred technology—and help identify improvements that are practical, valuable, and supportable.
- Repetitive work consumes staff time but remains undocumented.
- Customer inquiries, bookings, and follow-up may depend on disconnected tools.
- Business data exists, but quality, ownership, and reporting remain unclear.
- AI experiments occur without reusable standards or human-review controls.
Consulting services
From unclear opportunity to structured implementation.
Engagements can begin with assessment and planning or progress into workflow design, product definition, prototyping, testing, documentation, and adoption support.
02Automate
Workflow Automation Sprint
Document a process that is costing you time, then build the automation that removes the worst of it.
- Current-state workflow
- Pain-point analysis
- Future-state design
- Working automation
03Convert
AI Customer Experience System
Connect enquiries, leads, bookings and follow-up into one system that answers people promptly.
- Intake assessment
- Lead routing design
- Booking requirements
- Escalation rules
04Decide
Data and Decision Intelligence
Turn scattered operational data into reporting your team trusts enough to act on.
- Data assessment
- Agreed metric definitions
- Reporting requirements
- Dashboard plan
05Plan
AI and SaaS Product Launch Blueprint
Turn a product idea into a specification a development team, or an AI assistant, can build responsibly.
- Product charter
- MVP scope
- Testable requirements
- Acceptance criteria
06Standardise
Generative AI Operating System
Replace ad-hoc prompting with documented standards, reusable templates and human review.
- Prompt templates
- Workflow standards
- Review checkpoints
- Data-handling guidance
07Produce
AI Media and Digital Identity Studio
Build a consistent visual and voice identity for professional media, with governance over how it is used.
- Identity specification
- Reference asset set
- Production workflow
- Asset governance
08Adopt
Training and AI Adoption Support
Help your team actually use what has been built, in language that fits how they work.
- Tailored training
- Written guidance
- Documented limits
- Adoption plan
Selected work
Products and platforms moving from concept toward implementation.
Each project is presented with a transparent status, current milestone, defined problem, and documented role.
- 01Active Development
AI and Workflow Automation
AI Front Desk Platform
Service businesses may miss inquiries and manage leads, bookings, and follow-up through disconnected manual processes.
Current milestone
Tenant-aware public intake, booking, lead, and chat runtime implemented and verified.
- Next.js
- TypeScript
- Supabase
- PostgreSQL
- 02Foundation and Product Planning
Community Technology Platform
Global Diaspora Nexus
Diaspora organizations, communities, services, and opportunities remain fragmented across regions and platforms.
Current milestone
Product foundation, MVP scope, agent rules, backlog, and initial platform requirements documented.
- Product Architecture
- SaaS Planning
- Data Modeling
- AI-Assisted Research
- 03Requirements Development
AI Media Operations
Automated AI Media Factory
AI-assisted media production often depends on disconnected tools, inconsistent workflows, and limited governance.
Current milestone
Vision, architecture, roadmap, business requirements, personas, authentication, authorization, and tenant requirements under development.
- Multi-Tenant SaaS
- AI Agents
- Workflow Automation
- Media Pipelines
Portfolio ecosystem
The consulting practice and the product work feed each other.
The ventures are where the methods get tested before they are recommended to anyone. Six domains, one connected body of work — the same disciplines a client engagement draws on.
strategy
Strategy and governance
Opportunity assessment, requirements, architecture decisions, agent roles, review standards and documentation governance.
automation
Automation
Workflow orchestration, intake and routing, notifications and scheduled pipelines built on n8n and Python.
data
Data and intelligence
Collection, normalization, classification, deduplication, storage and reporting across operational and editorial sources.
software
Software platforms
Multi-tenant SaaS built with Next.js, TypeScript, Supabase and PostgreSQL, with authentication, tenancy and admin workflows.
media
Media and production
AI-assisted production pipelines covering character and identity continuity, asset governance, editing and frame-by-frame quality control.
community
Community and education
Directory, publishing and curriculum platforms serving diaspora organizations, editorial audiences and structured learning.
Why work with Mohamed
Business understanding and technical structure in one conversation.
Effective AI and automation work requires more than selecting software. It requires clear priorities, reliable information, stakeholder understanding, documented decisions, and practical execution.
Learn more about Mohamed- 01
Technical and executive perspective
Experience across software, databases, data, telecommunications, consulting, operations, and organizational leadership supports both technical and business conversations.
- 02
Problem-first solution design
The process starts by understanding the current workflow, constraints, stakeholders, and desired outcome before selecting technology.
- 03
Documentation that supports execution
Product charters, requirements, workflows, architecture decisions, acceptance criteria, testing plans, and roadmaps create continuity and reduce ambiguity.
- 04
Responsible implementation
Data quality, security, privacy, human review, governance, adoption, and operational ownership are considered alongside technical capability.
Selected experience
Experience connecting technology, operations, data, and leadership.
A professional journey spanning technical implementation, consulting, telecommunications, executive responsibility, data, and technology entrepreneurship.
2023 — Present
Position 01
Founder and Solutions Builder
Anunnaki Technology Solutions LLC
Developing AI, automation, SaaS, media, education, and community-platform initiatives through structured product planning and AI-assisted implementation.
Enterprise Data Career
Position 02
Business Intelligence, ETL, and Oracle ERP Consultant
Accenture • Amdocs • BMC Software • DST Innovis • Hanover Compressor
Delivered enterprise business intelligence, ETL, analytics, Oracle E-Business Suite customization, and cross-module reporting through direct employment and consulting engagements.
Executive Leadership
Position 03
Chief Executive Officer and Managing Director
SALCAB
Led organizational operations, strategy, stakeholders, risk, infrastructure priorities, and institutional coordination.
Technology Leadership
Position 04
Information Technology Manager
SierraTel
Managed technology operations and supported telecommunications systems, infrastructure, services, and organizational technology needs.
Consulting process
A structured path from discovery to adoption.
Not every engagement requires all seven stages. The process is scaled to the problem, budget, risk, organizational readiness, and desired outcome.
- 01
Discovery
Clarify the problem, stakeholders, desired outcomes, constraints, current systems, and available evidence.
Output: Shared problem definition
- 02
Workflow Assessment
Document the current process, handoffs, delays, repetitive work, data inputs, and decision points.
Output: Current-state workflow
- 03
Opportunity Prioritization
Compare opportunities by value, feasibility, risk, readiness, cost, and organizational impact.
Output: Prioritized opportunity map
- 04
Solution Design
Define the future workflow, requirements, architecture, integrations, responsibilities, and controls.
Output: Solution blueprint
- 05
Prototype or Implementation
Build the smallest useful version needed to test the workflow and validate assumptions.
Output: Working implementation
- 06
Testing and Refinement
Evaluate functionality, accuracy, usability, accessibility, security, and operational fit.
Output: Verified improvements
- 07
Deployment and Adoption
Support launch, documentation, training, ownership, monitoring, and continued improvement.
Output: Operational handoff
Frequently asked questions
Clear answers before the first conversation.
These answers explain how an engagement may begin, what support can include, and how technical and nontechnical stakeholders can participate.
No. A useful engagement can begin with the business problem, current workflow, desired outcome, and constraints. Part of the work is determining whether AI, traditional automation, process improvement, or another approach is the best fit.
Engagements may include assessment, requirements, workflow design, product planning, prototyping, AI-assisted implementation support, testing, documentation, and adoption guidance. The final scope depends on the project and available resources.
Yes. Technical concepts are translated into clear business language, visual workflows, structured decisions, and practical next steps so that both technical and nontechnical stakeholders can participate.
Yes. Product-planning work may include a product charter, target users, MVP scope, functional requirements, workflows, architecture considerations, roadmap, acceptance criteria, testing plans, and implementation priorities.
These concerns are considered from the beginning. The exact approach depends on the data, users, integrations, industry, and risk level. Where specialist legal, compliance, or cybersecurity advice is required, that need is identified rather than overstated.
The consulting model is designed to support remote discovery, assessment, planning, documentation, review, and implementation coordination. Specific engagement arrangements are confirmed during the initial discussion.
Begin with the problem
Not sure whether your AI or automation idea is ready?
Start with a focused conversation about your goals, current workflow, constraints, and the outcome you are trying to achieve. You do not need to arrive with a finished solution.