Discovery
& Scope
We pull the product apart before we build it: who uses it, what it has to do on day one, what it must not do yet. You leave with a scope, a timeline and a number — not a proposal full of maybes.
United States — taking new builds for Q4
A full-stack product studio in the United States. We design and ship iOS and Android apps, business software and internal portals — with AI wired in where it moves the numbers, not where it looks good in a deck.
We pull the product apart before we build it: who uses it, what it has to do on day one, what it must not do yet. You leave with a scope, a timeline and a number — not a proposal full of maybes.
Interface and data model get designed together, so the screens and the schema never fight each other. You see clickable flows before a production line of code is written.
Native-grade iOS and Android, the backend behind them, the admin portal your operations team actually lives in, and the AI layer wired into real data — all by the same people.
Store submission, rollout, monitoring, and the unglamorous weeks after launch when the product meets real users and has to change. We stay for those.
You have a product in your head and nothing in a repository. We take it from scope to a shipped app on both stores, with the backend and the admin side already built in.
Door BYou have a working product or an internal system and a pile of data doing nothing. We integrate the AI layer, rebuild what blocks it, and leave the rest of your stack standing.
Indicative planning model, not a quote. Timelines move with the complexity of the work — the number of integrations, the state of an existing codebase, data migration, review cycles and any compliance requirements can change them substantially in either direction. Real numbers come out of the discovery phase, where the scope gets fixed in writing.
These figures assume a typical scope at the selected stage. Actual duration depends on the complexity of your product — integrations, data volume and quality, regulatory requirements, the condition of existing code, and how quickly decisions get made on your side. A build can land faster than shown, or materially slower. Nothing here is an offer or a commitment.
Most companies do not need more software. They need the right three things automated and the rest left alone. So we start by auditing the business itself — the operation, not the wish list.
We sit with the people who do the work, follow a job from the first phone call to the final invoice, and write down every place where a human is moving information that a machine should be moving. Then we tell you which of those are worth fixing, which are not, and what each one is costing you now.
You get the findings whether or not you build with us.
The same information typed into two systems because they do not talk. Email to spreadsheet to accounting package, by hand, every day.
Jobs that sit still because they need someone's approval, someone's answer, or someone to notice an email at all.
Enquiries nobody answered, calls that came after hours, quotes that took three days when the customer needed one.
A process that only one person knows. Access nobody revoked. Approvals with no record. A shared spreadsheet holding customer data.
Calls arrive outside office hours, in languages nobody on shift speaks. They go to voicemail, or they ring out. Nobody can tell you how many you lost last month, because a call that was never answered leaves no record.
An AI voice agent answers on the first ring, in the caller's own language. It asks the questions your team would ask, understands the answers, and writes a structured record — who called, what they need, how urgent, what to quote. Anything it cannot handle is handed to a person with the conversation already summarised, so nobody starts from nothing.
Every call leaves a record, including the ones that used to vanish. The enquiry is in your CRM before anyone gets to the office, and a customer who speaks Spanish, Polish or Mandarin is not a customer you quietly lose.
The pain — orders arrive as email, PDF or a web form, and somebody retypes them into the system. Slow, and every typo becomes a wrong delivery.
What we put in — the document is read automatically, fields are extracted and checked against your catalogue and prices, and only the genuinely unclear ones reach a human.
What changes — the keyboard work disappears, the errors it caused disappear with it, and orders stop queueing behind whoever does the typing.
The pain — pricing lives in one person's head and an old spreadsheet. Two salespeople quote the same job differently, and the customer has already called someone else.
What we put in — the pricing rules written down once, in software, and a quote assembled from your real cost data in minutes — with a margin check before it goes out.
What changes — quotes go out the same day, at prices you chose on purpose, and the business stops depending on one person being available.
The pain — most tickets are the same handful of questions. Real problems wait in the queue behind them.
What we put in — an assistant that answers from your own documentation and order history — not from the open internet — and routes anything it is not confident about to a person, with the context attached.
What changes — routine questions get answered immediately, and your team spends its day on the cases that actually need a human.
The pain — purchases, discounts and time off get approved in chat and email. Nobody can reconstruct who approved what, and an audit becomes a week of archaeology.
What we put in — approvals move into a workflow with rules, reminders and a permanent record. Small amounts clear themselves; the ones that matter reach the right person once.
What changes — nothing stalls because someone was on holiday, and the record exists before anyone asks for it.
The pain — staff join and leave, and their accounts stay open across a dozen systems. Customer data sits in a spreadsheet anyone can copy.
What we put in — one place where joining and leaving actually grants and removes access, sensitive data behind roles instead of goodwill, and a log of who saw what.
What changes — the obvious hole closes, and you can answer a security questionnaire from a customer without improvising.
Every business is a set of moving parts that nobody has ever drawn on one page. The audit draws it — then we decide together which parts should stop being done by hand.
Book an audit →Interviews with the people doing the job, and we follow real cases end to end — not the process as written, the process as it happens.
How often each step runs, how long it takes, where it stops, what it costs when it goes wrong. An opinion is not a finding.
Every opportunity with its effort, its risk and what it frees up — including the ones we recommend you do not automate, and why.
Findings are yours to keep, with or without a build. Figures in the report come from your own operation — we measure, we do not estimate from the outside.
App, backend, portal and AI layer built by the same people. No handoffs between vendors, no finger-pointing when something breaks between them.
iOS and Android that feel like they belong on the device — not a web page in a shell that users delete after a week.
We integrate models where they cut a cost or a wait time, and we tell you when a feature does not need one.
Discovery ends with a written scope, a timeline and a number. What changes later changes by agreement, not by surprise invoice.
Internal tools and portals designed around the way your operations actually run, so the people inside the company stop working around the system.
Store submission, monitoring and the iteration weeks when real users arrive — the part most studios hand back to you.
Your time zone, your contracts, one accountable partner — not a chain of subcontractors you never meet.
Consumer and internal apps for iOS and Android — onboarding, payments, offline behaviour, push, store submission and the release cadence after it.
The systems a company runs on: operations tools, back offices, dashboards, internal workflow software that replaces the spreadsheet nobody admits to.
Customer, partner and vendor portals wired into what you already run — CRM, ERP, billing, logistics — so data stops being re-typed between systems.
Assistants over your own data, document and ticket automation, search that understands the question, forecasting on your numbers — connected to the product, not bolted beside it.
Discovery comes first and ends with a written scope, a timeline and a number. A defined build then runs as fixed scope. Work on an existing system runs phased, because nobody can honestly fix the price of a codebase they have not opened yet — we scope one phase at a time and you decide at each boundary.
You do. Source code, the design system, the infrastructure definitions and the repository history are handed over. No licensing of our own framework back to you, no component you have to keep renting, no hostage situation if you later move to another team.
Yes — that is the "Modernize existing" path. We start by reading what is there, map the gaps, and agree what we touch and what we deliberately leave alone. We work alongside an in-house team on shared conventions and review rules, or take a self-contained slice end to end. What we do not do is quietly rewrite everything because it is easier for us.
Store submission and rollout are part of the build, not an extra. After that come the unglamorous weeks when real users arrive and the product has to change — monitoring, crash triage, the fixes that only show up at volume. We stay for those, and we agree the shape of that period before launch, not after.
Often not, and we will say so. An AI layer earns its place when it removes a real cost or a real wait — triaging documents, answering from your own data, cutting a manual step that runs hundreds of times a week. If a feature works better as ordinary software, that is what we build. Shipping a model you do not need is the fastest way to a product nobody trusts.
One person who can decide, available for a short call each week. Access to the systems we have to integrate with, early rather than late. Turnaround on reviews measured in days. Nearly every timeline that slips, slips there — not in engineering.
Working hours that overlap yours all day, not a two-hour window at the edge of someone else's night. Standups happen when you are awake.
US contracts, US communication, and a single team that owns the result — not a chain of subcontractors you never meet and cannot call.
We build for the users, the app stores, the payment rails and the expectations of the market you are actually selling into.
Send the idea, the existing product, or the mess you want cleaned up. You get a scope conversation, not a sales call.
info@itrul.com