Lloyds Banking Group
Shell UK
Account Manager
Customers, targets and organisational accountability.
I turn commercial ambition into working systems.
I’m Athar Jameel Ahmed, a founder-operator and forward-deployed engineer. I work inside difficult business problems and stay close enough to build what actually changes them.
Founder & commercial operator
StrategyProductEngineeringApplied AI
In the room
Rooms, teams
and real outcomes.
Real stages, working rooms and the people around work that had to stand up in public.
The stage matters because the thinking has to survive questions, scrutiny and other people’s experience.
Browse speaking & recognition ↗A non-linear advantage
I learned the business
before I built the software.
Enterprise customers, international sales, fundraising, team leadership and product ownership changed the questions I ask as an engineer.
Lloyds Banking Group
EK International Courses
Sales Director
Sales direction and international market expansion.
Legion Network
GTM Capital
Founder & CEO, 2020–2024 · Founder
Product and technical direction, more than $4M raised, market-readiness and go-to-market. GTM Capital is in development.
GoPromo
Head of Applied AI & Product Systems
10,000+ audits and Agency Ops for approximately 35 people taken into production.
Opportunity Lens
What is the opportunity hiding inside the problem?
A focused diagnostic that reads the commercial and operational system behind the words. It returns a bounded opportunity map, not a generic answer.
Sent securely to OpenAI for one-time analysis. This site does not save your submission.Not advice. A sharper place to begin.
Reading of the systemThe constraint behind the visible problem will appear here.
Commercial leverageThe strongest opportunity will appear here.
First moveOne bounded action, chosen for learning and leverage.
ProofEvidence that changes the next decision.
Keep humanThe judgment or permission that should remain under human control.
Question worth answeringThe answer that could overturn this reading.
Bring this map to Athar ↘The actual job
Find where money, time or trust is leaking. Then build the system that changes it.
I don’t separate business thinking from technical delivery. The useful answer is rarely another strategy document or another isolated prototype.
It is a clear commercial decision, expressed as a product, workflow or system that survives contact with real people.
Create revenue
Turn an opportunity into a product, offer or customer journey that can be bought and used.
Release capacity
Remove repeated work and fragile hand-offs without automating away the judgment that matters.
Make intelligence useful
Move AI beyond the impressive demo and into an operation people can understand, trust and improve.
Selected work
Working systems,
documented.
Two systems are open for inspection. One private build is described at capability level, with its identity withheld.
01
Nexus
When AI is allowed to act, the hard problem is not intelligence. It is control.
Nexus is a small, open runtime designed so agent work can pause for a human, survive interruption, respect a budget and explain itself afterwards.
Read the case study ↗Before the actionDecide what requires a human.
During the runKeep cost and state inside the boundary.
After the resultLeave a record another person can inspect.
Open source · TypeScript · v0.2
ReferenceKeep the identity.
DirectionKeep the brand.
FinishMake it usable.
02
AI image production
A generated image is easy. A dependable production process is not.
I built a workflow around reference discipline, brand continuity, transparent cut-outs and delivery-size optimisation because the output has to work beyond the prompt box.
Read the case study ↗ContextRead the conditions around the decision.
ControlChange behaviour through governed modes.
ExecutionAct only inside explicit boundaries.
EvidenceTest the system under operational pressure.
Identity withheld · private launch in preparation
03 · Private product
Decision systems
When the cost of a wrong move is real, intelligence needs operating boundaries.
I designed and built a private, context-aware decision system with safety modes, execution controls, fallback behaviour and extensive operational testing. The product remains unnamed while its private launch is prepared.
Capability shown · identity and code withheldBeyond the public repositories.
Market-readiness systemsClient operating systemsMobile productsAI operations
Private and client work is described without pretending it is public.
A production acquisition system built around measurable demand.
One operating view across delivery, dependencies and company health.
Founder experience carrying product, people and investor accountability.
Current deployment
GoPromo · Head of Applied AI & Product Systems · 2023 to present
Acquisition on one side.
Operational intelligence on the other.
I work across product, engineering, sales, marketing and operations to turn live agency problems into systems that people actually use.
01 · Customer acquisitionAEO · GEO · Automation
Automated audit platform
A production pathway from free website audit to structured findings, customer communication and technical handoff. The architecture keeps delivery cost low by applying AI only where it creates meaningful value.
10,000+audits completed
~5,000manual hours equivalent
$1,000+average revenue per closed lead
02 · Internal operationsPostgreSQL · RLS · controlled AI tools
Agency Ops
A production operating system for approximately 35 people across two agency brands, replacing fragmented WhatsApp coordination and repeated catch-up calls with one view of work, dependencies and company health.
- 45-table PostgreSQL model with role-scoped access controls
- 19 controlled AI tools grounded in live operational data
- Projects, reviews, dependencies, leave, chat and documents
- Company health, workload, blockers, rework and profitability
Public outcomes
The operating scale and commercial result can be discussed. Proprietary audit logic, client data and internal management records remain private.
Start with the problem
What is the opportunity
not getting yet?
Tell me where growth is stuck, where work is breaking down, or where a promising idea needs a credible route into reality.
See the public engineering first ↗