Frequently Asked Questions

Tmob AI Studio takes a brief — even a rough one — and hands back finished software running in your production environment, done for you. The difference from how you build today is where the work sits: scoping, building, testing, integrating and getting safely live are ours — run by AI-agentic teams under senior human sign-off — while your team keeps its focus and its ownership of the result. You're not adding another tool to operate or another team to manage; you're sending an outcome to be delivered and receiving a running product you own.

Coding assistants and app builders speed up one slice of the job — writing code, or clicking together a prototype. Everything else still lands on your team: scoping it properly, integrating it with your systems, testing it, securing it, and getting it safely live. That last mile is exactly where projects stall. Tmob AI Studio takes the whole job rather than a slice of it — so you don't get a faster way to build, you get the finished result delivered.

An agency or outsourcing partner staffs people against your project and bills their time; timelines, quality and coordination then rise and fall with that team's availability. We deliver differently: AI-agentic teams carry the build continuously — 24/7 — under senior human sign-off, against an SLA agreed up front, so you're buying a committed outcome rather than renting hours. And unlike much outsourced work, everything is built on a standard, exportable stack that's yours from day one — no lock-in, nothing to hand back.

No. We deliver the work and hand it back; your team keeps its tools and its ownership of the result. We build inside the stack and systems you already run rather than asking you to adopt ours, and everything we deliver is standard and exportable — so your engineers can pick it up, extend it or maintain it without us.

The same delivery path handles a small, well-defined backend task, a design job, or a full end-to-end product — you scope what you need and we size the engagement to it. We're built for enterprise-grade software that has to run in a real production environment: web and mobile products, internal platforms, integrations, and data or API work. What's out of scope is anything we can't deliver to a production standard with proper security and human sign-off — and we'll tell you that at scoping rather than over-promise.

Tmob AI Studio comes out of a delivery organization with seventeen years of enterprise software behind it — work shipped for institutions like Mastercard, Vodafone, Turkish Airlines, Singapore Airlines, Shell, Turkcell, Carrefour, MediaMarkt and HDI, across regulated industries and continents. That's 300-plus projects and software used by 250M-plus end users. Behind the AI agents are the same senior delivery people who shipped that work.

Yes — a rough brief, or even a wish list, is enough to begin. An AI product manager works through it the way a senior analyst would: asking the questions that turn a loose idea into a structured, buildable specification, and bringing anything ambiguous back to you. Getting to a clear scope is part of what we do, not a prerequisite you have to satisfy first.

First, we review the brief and come back within 24 hours with a costed proposal. If it's a fit, a short scoping step turns the brief into a structured spec and sets an SLA and a delivery date. From there, AI-agentic teams build and test against that spec continuously, while a senior Tmob expert signs off at every release gate. Finally the finished result goes live in your environment, integrated with the systems you already run, and ownership passes to you.

You don't wait for a weekly status email — you get a live window into the work. Through the Customer Portal you can see, at any moment, what's been built, what's being tested, and what's waiting on a decision from you. The AI product manager surfaces product decisions and brings them to you rather than making them silently, so you're steering the direction throughout.

A Producer owns your engagement end to end — a single, senior point of contact accountable for scope, timeline and quality. They coordinate the AI-agentic teams and human experts behind the scenes, keep the SLA on track, and make sure the decisions that need you reach you clearly and in time.

A finished product running in your production environment — not a prototype, a repo full of loose parts, or a to-do list. That means the working software, the source code and IP (yours from day one), the integrations wired into your systems, and the documentation your team needs to run and extend it.

Much faster than the traditional path, because the waits that usually dominate a project are removed. AI-agentic teams build and test 24/7 — around the clock, without the queues, handoffs and idle time between stages that slow a conventional build. Actual timelines depend on scope, but the difference isn't a marginal speed-up: it's compressing the calendar by taking out the gaps where projects normally sit and wait.

We commit to an SLA up front, agreed at scoping before any work starts. Once the brief is turned into a structured spec, we size it and set a delivery date you can plan around — not a vague estimate that drifts. Because the build runs continuously and a Producer owns the timeline, the date is a commitment we manage against, not a hope.

A traditional agency or in-house build spends much of its calendar not building — waiting on discovery, staffing, handoffs between design, engineering and QA, and review cycles. Our AI-agentic teams collapse those gaps: building and testing run continuously and in parallel, and scoping starts from a structured spec rather than months of discovery.

Change is expected, and the model absorbs it. Because you have a live view of the work and the AI product manager brings decisions back to you as they come up, adjustments are caught early rather than surfacing as expensive surprises at the end. Material changes to scope are re-scoped transparently with you — you'll always know the impact on timeline and cost before anything proceeds.

Both, deliberately. AI-agentic teams carry the volume — writing, wiring and testing continuously — while senior human experts own the decisions and the sign-offs. The speed is agentic; the judgement is human. We call it agentic, not autonomous: the agents move fast, but they don't ship on their own.

The humans do the things that should never be automated away: they lock scope against your brief, steer the build, review the work, and sign off at every release gate against your standards. Roles like the Producer, Solution Analyst, Software and Design Engineers, and Product Engineers sit over the agent workforce — setting direction, catching what matters, and taking responsibility for what goes live.

We are — and a named human signs off on it. Nothing crosses a release gate on an agent's say-so alone: a Product Engineer reviews it against your standards and approves it before it moves. Accountability doesn't sit with a model; it sits with the expert who signed the release, and with us as your delivery partner.

Yes — because the trust doesn't rest on the AI, it rests on the process around it. Every change runs through a continuous test loop until it's genuinely clean, and every release is human-approved against the security and compliance standards your industry demands, with a full audit trail. The AI makes it faster, the human gates keep it safe.

A modern, standard, widely-used stack — chosen to fit your environment and, crucially, to run without us. There's no proprietary runtime and nothing that locks the result to our platform. The exact technologies are confirmed at scoping, matched to what you already run and to your team's ability to own the result afterwards.

Yes — enterprise software never starts from a blank page, so we build inside the landscape you already run rather than beside it. The result is integrated with your existing systems, data and services from the start, not delivered as an island you then have to connect yourself.

In your environment, deployed the way you want it — your cloud, your on-prem, or a hybrid setup, to your standards. The finished product runs where you run everything else, and your data stays inside the boundary your team defines.

Testing isn't a phase at the end — it runs continuously as part of the build. Every change goes through the test loop until it's actually clean, not just “looks done,” and then a Product Engineer signs it off against your standards before it can be released. Quality is enforced at the source and confirmed at a human gate.

Yes — production-grade is the whole point. We don't deliver a prototype that impresses in a demo and buckles under real users, real data and real load; we deliver software built to operate in your production environment and to scale with it. It's engineered, tested and documented as something meant to run for years.

The model is built to prevent that surprise rather than negotiate it afterwards: you have a live view of the work throughout, and the AI product manager brings decisions back to you as they arise, so direction is corrected early. If delivered work doesn't meet the agreed spec or your standards, it doesn't pass sign-off — it's revised until it does.

Inside the boundary your security team defines. Sensitive code, data and artifacts stay within your environment rather than being copied out to external infrastructure, and the work is done to the access rules you set. Data residency and control are treated as a starting constraint, not an afterthought.

No. Your code, data and delivery artifacts are used to deliver your project — not to train shared models, and not for the benefit of anyone else. What's built for you, and everything learned in building it, stays yours.

To the classification rules agreed at scoping: access controls at the artifact level, encryption in transit and at rest, and policy-enforced limits on which workflows can touch which data — with regulated categories handled under the specific legal requirements that apply to them. We come from insurance, banking, aviation and telecom, and build to that bar by default.

We align to the enterprise security frameworks relevant to the industries we serve, including SOC 2 and ISO 27001. Detailed security documentation and current certification status are shared under NDA as part of a scoping engagement.

Compliance is built into delivery rather than bolted on at the end: for regulated work we build to the applicable frameworks — for example KVKK or GDPR — with a full audit trail of what was built, checked and approved. And yes, we work under NDAs and data-processing agreements as a matter of course.

Yes — fully, from day one. You own the source code and everything built for you from the first commit, not at some milestone or final payment. There's nothing we retain, license back, or hold as leverage.

No lock-in, by design. We build on a standard, exportable stack with no proprietary runtime, so nothing about the result depends on us to keep running. You can maintain it in-house, hand it to another vendor, or keep working with us — entirely your call, at any time.

Because you own a standard, exportable result, you're free to maintain it in-house or with any vendor. Many clients also choose to keep us on for maintenance and support, which we carry under an ongoing arrangement agreed at scoping. Either way it's your decision, not a dependency we build in.

Yes. The same delivery model handles ongoing work as easily as a first release — send the next brief and it runs through the same loop. Whether you want a one-time delivery or a continuing build relationship, we confirm the right model with you.

For engagements with an ongoing support arrangement, we respond under the terms we agree with you, backed by the same visibility and sign-off discipline as the original build. For a one-time delivery, you own a standard, well-documented result your team can support directly — and because everything is exportable, you're never dependent on us to fix your own software.

A delivery engagement, not a self-serve license. You're not buying seats in a tool and doing the work yourself; you're sending a brief and receiving a finished, owned product. Each engagement is scoped to what you need rather than sold as a fixed subscription.

Per engagement, based on scope. Once the brief is turned into a structured spec, we price the work and confirm the right commercial model — fixed-scope, sprint-based, or ongoing — on the scoping call. You see a costed proposal within 24 hours of sending a brief.

Yes — and it's often the best way to begin. We can scope a first, well-defined piece of real work so you can see the model in practice — the speed, the visibility, the sign-offs and the ownership — before committing to anything larger. It's a genuine delivery, not a throwaway demo, so whatever we build is yours to keep.

The smallest start is simply sending a brief — even a rough one — for a single, contained piece of work. There's no large minimum commitment to get going; a focused first engagement lets you evaluate the model with low risk.

Two ways in: Request a Proposal (send your brief or RFP) or Book a Call to talk it through first. Once we have a brief, you get a costed proposal back within 24 hours — no commitment required to reach that point.