Understand the request
Collect the client’s requirements. AI helps structure the brief and identify missing information; a person agrees scope and acceptance criteria.
↳ An approved brief
A connected delivery system for agencies
From client request
to software that
stays cared for.
I build your agency’s AI-assisted software factory: the tools, workflows and working rules that connect planning, development, quality checks and ongoing maintenance.
Built around your team. Connected through Linear. Human approval where it matters.
Less chasing. Clearer handoffs.
A shared process,
from brief to maintenance.
When requirements live in messages, delivery lives in someone’s head and maintenance starts with a scramble, adding another tool isn’t enough. I connect the process so your team can see what happens next and who owns it.
The delivery loop
One connected
way of working.
Maintenance feeds back into planning and checks.
Plan in Linear
Turn the agreed scope into tasks with owners, priorities and review points. Keep decisions and delivery status connected to the original request.
↳ A shared delivery plan
Build, test and check
Use AI-assisted development alongside automated tests, quality checks and security scans. Findings return to the developer for resolution and review.
↳ A tested, reviewable change
Approve and deliver
A responsible reviewer checks the change against the agreed requirements and approves the release. Capture the delivery notes and recovery procedure.
↳ An approved release
Monitor, update, repeat
Monitor the system, run security routines and prepare updates. Bugs and maintenance work return to Linear; updates pass through testing and the agreed approval gates.
↳ An ongoing maintenance loop
What we build
A system your team can operate.
We agree the scope around your existing tools, projects and approval rules.
Intake & planning
Requirements collection, acceptance criteria, Linear templates and integrations that keep requests connected to delivery.
Development & quality
AI-assisted development workflows, automated tests, quality gates and security checks, with review before release.
Ongoing care
Monitoring, security routines, update workflows and maintenance tickets, plus documentation and team handover.
One concrete example
“Can we add a CSV export?”
The request becomes a draft specification, including who can export and which fields are allowed. Your team approves it in Linear. Development produces a reviewable change; tests check the output and permissions. After review and release, monitoring and maintenance feed new issues back into the same process.
Illustrative workflow. The integrations and automation boundaries are agreed for each engagement.
AI assists. People own the decisions.
Automation with accountability.
AI can draft requirements, propose tasks, assist with code and tests, and summarize changes. Workflow automation routes tasks and runs checks. Your team approves scope and releases; automated checks support engineering judgment.
We define this before building
- Who approves scope, code and production changes.
- Which updates need approval and which may run automatically.
- Who responds to alerts and maintains the system.
- Access, hosting, operating costs and support boundaries.
Security checks reduce risk; they do not guarantee vulnerability-free software.
Relevant experience
A partner who follows through.
Feedback from a completed voice AI consulting engagement.
“Mohamed is communicative, collaborative, and a great developer. He makes sure the job gets done and will help the solution be even better than your original ideas / docs state.”
Start with your bottleneck
Where does delivery get stuck?
Tell me about your agency, your current tools and one workflow you want to improve. We’ll identify a practical starting scope.