One partner from the first architecture decision to the runbook
AI projects rarely fail at the model. They fail in the gaps between vendors: the evaluation nobody owned, the deployment that was out of scope, the monitoring that was phase two. We hold all seven stages so there are no gaps to fall into.
Seven stages. We own all of them.
Most AI engagements are scoped to the middle three. The client discovers at handover that evaluation, deployment and operation were somebody else's job, and that somebody was never hired.
What "end to end" means in practice
Every AI vendor says full service. This is the specific list we get asked about during procurement, and where the industry default usually sits.
| Deliverable | Typical AI vendor | Jillani SofTech |
|---|---|---|
| Written architecture and trade-offs | slide deck | documented, in your repo |
| Success metrics agreed before code | rarely | week zero, reported weekly |
| Evaluation harness you can rerun | not included | included every time |
| Deployment into your cloud account | often extra | included |
| Monitoring, alerting and drift detection | phase two | live at launch |
| Source code and IP ownership | licensed platform | yours from commit one |
| Runbook and engineer walkthrough | repo link | documented handover |
| Post-launch support | new contract | 30 days minimum, retainer after |
A delivery process built for production, not demos
Every engagement follows the same disciplined path. You see real output early, and you always know where the project stands.
Scope and KPIs
A free call to understand the workflow, the data, and the constraints. We define what success looks like in measurable terms before anyone writes code.
Architecture and Plan
A documented system design, model selection, cost model, and phased delivery plan. You approve the approach and the budget before we start building.
Build and Demo
Agile sprints with a working demo from sprint two onward. Weekly updates, honest reporting on blockers, and evaluation against the KPIs we set.
Deploy and Hand Off
Cloud deployment, monitoring, full documentation, and a clean handoff. Then we stay on for support, model tuning, and quarterly improvements.
What a twelve week engagement looks like on a calendar
Shorter builds compress the same shape into two to four weeks. What does not change is the order: KPIs before architecture, architecture before code, evaluation running alongside the build rather than at the end.
How a delivery week runs
We are a remote-first practice working across US, UK and European time zones. That works when the rhythm is explicit and asynchronous by default, and it fails when it depends on everyone being awake at once.
Asynchronous by default
Written updates, recorded demos and a shared decision log. You can read where the project stands without waiting for a call, and so can anyone you forward it to.
One fixed checkpoint a week
Thirty minutes, same slot, regardless of time zone. Progress against the agreed metrics, blockers named plainly, and the decisions we need from you. If there is bad news it arrives here, not at handover.
Working software from sprint two
A demo you can click, not a status percentage. Early sprints deliberately target the riskiest part of the system, because a nasty surprise in week three is a schedule change and the same surprise in week twelve is a failed project.
A decision log that outlives the project
Every architectural choice is recorded with the alternatives considered and why they lost. Six months later, when someone asks why the retriever works this way, the answer is written down rather than remembered.
What we ask from you
One named decision-maker who can approve architecture and unblock access, and a subject expert available for a few hours in the first two weeks to build the evaluation benchmark. Projects that stall almost always stall on one of these two, not on engineering.
Security and data handling
Deployment models, data residency, access control, retention, sub-processors and incident response, written for the person reviewing you before contract.
CommercialPricing and engagement models
What each engagement includes, what moves the number and how a written estimate gets produced after a scoping call.
TechnicalStack and selection logic
What we build on, and the reasoning that puts one tool in your architecture and leaves the rest out.
Questions procurement teams ask
What clients want settled before a contract is signed.
Who does the work?
The founder leads architecture and delivery on every engagement, and writes a large share of the code. Where a project needs additional capacity we bring in engineers we have worked with before, under the same accountability. Work is not passed to an agency or subcontracted offshore.
What happens if we want to take it in-house later?
That is the intended end state. Code, infrastructure configuration and documentation are yours throughout, and the handover exists so your team can operate the system without us. Several clients now run their platforms internally and keep us on a light retainer for architecture review.
Can you work inside our repositories and process?
Yes. On most engagements we work in your GitHub or GitLab organisation, follow your review process and use your CI. Where none of that exists yet, we set it up in a form your team can take over.
How do you handle a project that turns out to be the wrong idea?
We say so and stop. It has happened, and it is cheaper for both sides in week two than in month four. If discovery shows the problem is better solved by classical machine learning, a deterministic workflow or a process change, the scoping document recommends that instead.
Want to see the delivery model applied to your project?
Bring the workflow and the constraints. You will get a written summary with the phased plan, what each stage produces and where the risks sit.