The first month of a nearshore engagement sets the pattern for everything that follows. If it goes well, you build trust, rhythm and momentum. If it goes badly, you spend the following months correcting misunderstandings. Many problems blamed on the partner or the distance are really onboarding problems: missing access, unclear priorities, no agreed way to communicate. Here is what the first 30 days should look like, week by week, so you can prepare and recognize good practice.
A note on timing: a full pilot that reaches production usually takes 30 to 60 days. The first 30 days are about foundations and a first real deliverable, not about finishing everything.
Before day one: prepare your side
A senior partner can move fast only if you remove obstacles. Before the kickoff, gather the following:
- A named decision-maker who can answer questions and approve work within a day or two.
- A short brief describing the business problem, the users and what success looks like in plain terms.
- Access list for repositories, cloud accounts, data sources, project tools and any third-party APIs.
- Signed paperwork: services agreement with IP assignment, and NDA.
- A staging or test environment, or agreement on how one will be created.
If something cannot be ready, say so up front. A delay in access is a normal risk, as long as everyone knows about it.
Week 1: Alignment and access
Goal: everyone understands the problem, the scope of the first phase and how the work will be run.
- Kickoff call. Introduce the project lead, your decision-maker and any stakeholders. Walk through the brief and the success measures.
- Access and security setup. Accounts are created under your organization, with least-privilege permissions. Credentials are never shared by email or chat. Anything involving sensitive data is discussed explicitly.
- Communication agreement. Decide the channels, the weekly check-in time, the daily overlap window in US hours, who receives written reports and where they will be published (email or a tracking dashboard).
- Initial questions list. The partner returns with the open questions found while reviewing your materials. The quality of these questions tells you a lot about their seniority.
Week 2: Discovery and a written preview
Goal: turn the brief into a plan you can approve before anything is built.
- The project lead reviews systems, data and current workflows with the people who actually use them.
- You receive a written preview of what will be produced: scope, data flow, key screens or interactions, assumptions and risks.
- Priorities are ranked. What is in the pilot, what is deliberately postponed.
- Acceptance criteria are written down for the first deliverable.
This preview step is the most valuable habit in distributed work. It surfaces misunderstandings while they cost an hour rather than a sprint. Do not skip it, even if you feel pressure to see code.
If the project needs specific skills, this is also when the lead identifies which specialists will be needed and when. A data engineer might join for the integration phase, a front-end developer for the dashboard and a QA specialist before launch. The plan should say so, so there are no surprises later.
Week 3: The first real deliverable in staging
Goal: see something working, however small.
- A first slice of the solution is deployed to a staging environment: an integration that moves a sample of real data, a prototype assistant answering a limited set of questions or a first version of a report.
- Your team tests it and gives feedback in writing or in the weekly check-in.
- The partner delivers a short written progress report: done, in progress, blocked, next.
Hypothetical example: a US e-commerce company wants an AI assistant to draft replies for its support team. By the end of week three, the assistant answers one category of questions, such as order status, using test data. Support staff try it in staging and mark which drafts they would send, which need edits and which are wrong. That feedback shapes the next two weeks far better than any specification.
Week 4: Iteration, hardening and the day-30 review
Goal: improve what you saw, prepare for production and decide how to continue.
- The partner applies feedback, handles edge cases and adds monitoring and basic safeguards.
- Documentation begins: how the system works, how to operate it, where things live.
- A formal day-30 review compares what was planned to what was delivered.
What to check at day 30
Use this checklist honestly.
- Accountability. Did one senior person own the project and answer clearly when asked?
- Rhythm. Did the check-ins and written reports happen when promised, without you needing to chase?
- Visibility. Can you describe exactly what has been built and what is next?
- Quality. Does the staging release work with real conditions, not only a demo script?
- Communication. Were problems raised early, with options, rather than hidden until a deadline?
- Ownership. Is the code in your repository and are the accounts under your control?
- Fit. Do you want to keep working with this partner on the remaining pilot phase?
If most answers are yes, you have found a partner who works the way a good senior partner should. If several are no, the first 30 days have given you inexpensive, valuable information, and you can adjust or stop with limited exposure.
Common onboarding mistakes
- Vague ownership on your side. Questions sit unanswered for days and the schedule slips.
- Too much scope. Trying to solve three problems at once instead of one narrow, valuable case.
- Skipping staging. Seeing work only when it is declared finished invites expensive surprises.
- Treating the partner as a ticket queue. A senior lead is most valuable when you let them challenge priorities.
- No written trail. Decisions made in calls and never summarized are forgotten by week six.
After day 30
The remaining weeks of a pilot usually focus on moving the working solution into production, training the users and measuring the result against the criteria set at the start. By then you will have a rhythm, a shared vocabulary and evidence rather than promises. That is the real purpose of a structured onboarding: not speed for its own sake, but a relationship in which both sides know how work gets done.
Want to put this to work? Convertty runs an AI assessment of your workflows and delivers an implementation plan with a pilot in production in 30–60 days. Book a call.
