Netofficials delivers AI automation services for operations and technology leaders whose teams still handle repetitive, document-heavy work by hand. We scope one workflow in writing, build it into the systems you already use under a named delivery lead, and review progress with you every sprint. Send a short brief to start.
We start by choosing one workflow worth automating, such as document intake, data entry between systems or request triage. Then we write down inputs, exceptions, the systems involved and the people who review the output. You get a scope you can approve before any build begins. If a simpler tool or process change would serve you better, we will recommend it after scoping.
Our technical architect is accountable for system design, technology selection and code quality standards. You see the automation flow, the points where a person checks or overrides a result, and how the automation connects to the software your team already uses. You review this before development starts, so the build does not drift from what you approved.
One cross-functional team builds the automation under a named delivery lead who owns daily progress and communication. Each sprint ends with a review with you, and QA checks accuracy against the acceptance criteria you agreed. At release you receive documentation and deployment access, and IP assignment is already settled in the contract.
We map the workflow you want to automate, the systems and data it touches, and where a person must stay in the loop. You review the written discovery scope, including what is out of the first release.
You receiveYou agree the written discovery scope
We design how the automation fits into your existing tools, with exception handling and human review points mapped out. The technical architect sets out the system design and technology choices for you to review.
You receiveYou approve the design and review points before the build starts
One cross-functional team builds the automated workflow and its integrations in sprints under your named delivery lead. You see working staging builds as they develop, not a single reveal at the end.
You receiveYou review the work at the end of every sprint
We test the automation against the acceptance criteria agreed in discovery, using realistic cases and the exceptions your team actually meets. You check the results, including accuracy where AI is involved, before anything goes live.
You receiveYou accept the automation against the agreed criteria
Netofficials deploys the automation into the systems your team already uses. We hand over documentation and deployment access, and you review both before the workflow goes live.
You receiveYou confirm the handover of documentation and access
Send a short brief on the workflow you want to automate, and we reply with questions, a proposed written scope and the cross-functional team we would put on it.
Cost follows the number of workflows, the rules behind each decision and the cases a person must still approve. We map the steps, the exceptions and who reviews them in the written discovery scope, so you see what is included before the build starts. A workflow with clear rules costs less than one that depends on judgement calls.
Automation is only as reliable as the data it reads and the systems it writes to. We check the quality of your documents, records and inboxes, then list the tools to connect, such as your CRM, ERP or internal databases. Extra integrations and messy source data raise effort, so we flag both in the estimate.
We agree acceptance criteria for accuracy with you up front, and QA tests the automation against them before release. Your named delivery lead explains the results at each sprint review. At release you receive documentation and deployment access. If a simpler tool or process fix would serve you better, we will say so after scoping.
Fixed-price delivery of one defined automation, such as document intake or approval routing, suited to teams that know which workflow to fix first.
An India-based team that works through your automation backlog workflow by workflow, suited to companies automating several processes over time.
Engineers with AI and integration skills who join your team and tools, suited to companies that already run the automation roadmap in-house.
For your AI automation project, we choose the stack in the written discovery scope, after reviewing the workflow, the systems it must connect to and who will maintain it once it is live. Our technical architect is accountable for that selection and for code quality standards, so you see the reasoning before the build starts. React, Node.js, Python and PostgreSQL are common building blocks, but we use them only where they fit. If a simpler tool would solve your problem, we will say so after scoping.
React
Node.js
Python
PostgreSQLFour things drive cost and timeline: how many workflows are in the first release, how clean and accessible the data is, how many existing systems the automation must connect to, and how much human review and exception handling you need. Netofficials gives no price before scoping. We set out the assumptions in a written discovery scope and agree commercial terms, through fixed-price project delivery or another engagement model, before the build begins.
Accuracy is checked against acceptance criteria that you and Netofficials agree in writing before the build starts. Our QA team tests the automation against those criteria, and you get a QA report and issue log. At the end of every sprint you also see a client-facing review of working progress. If a simpler tool or process fix would serve you better than custom AI, we will recommend it after scoping.
You own the work: IP assignment is confirmed in the contract before the build begins, and documentation and deployment access are handed over at release. A named delivery lead runs day-to-day progress and your communication, with a technical architect accountable for system design and code quality. We agree the communication window, meeting schedule and update cadence with you before work starts.
Send a short brief naming the process, the systems it touches and where the manual effort sits. We reply with questions and a written discovery scope covering what to automate, what stays with your team and what the first release includes. If a simpler tool or process fix would serve you better, we will recommend it after scoping. If automation fits, a named delivery lead takes you through each sprint review.
