Workflow assessment and design
Map inputs, rules, ownership and exceptions with the people doing the work. Define which steps can be automated and where review or approval remains necessary.
MV.tech services
Reduce the manual work between your business systems. MV.tech connects applications, APIs, databases and spreadsheets to automate recurring tasks, reporting and approvals. We build the checks, exception handling and operating instructions alongside the workflow.
The starting point
What we deliver
Map inputs, rules, ownership and exceptions with the people doing the work. Define which steps can be automated and where review or approval remains necessary.
Connect REST APIs, webhooks, databases and business applications. Handle authentication, source limits, field mapping and the transformations needed between systems.
Build Google Apps Script workflows, Sheets integrations and Python jobs for processes that depend on spreadsheets, exports and recurring reports.
Add validation, retries, duplicate prevention and failure alerts. Document how to rerun a job, handle exceptions and update the workflow when a source system changes.
Business applications
Engagement scope
We review the current process, its systems and the cases that need manual intervention. The proposal defines the steps to automate, expected volumes, validation rules and ownership of exceptions. AI can be included when it is useful for interpreting variable documents or text.
See our delivery processWorking together
Follow a real transaction or report through the current steps and document the rules and exceptions.
Connect the systems and test ordinary records, errors, retries and duplicate handling.
Agree schedules, alerts and operating ownership, then document the workflow for future changes.
Teams our engineers have worked with
Before we begin
Not answered here? Ask us directly or read the full FAQ.
Yes, when the tools provide suitable authorised access. We review available APIs, webhooks, exports and authentication before estimating the integration. Source limits and downstream permissions shape what can be automated reliably.
No. A scheduled job or API integration may be enough for a predictable process. AI is useful when a step requires language or document interpretation, and that step still needs suitable evaluation and review.
The workflow can include stable record identifiers, state tracking, reconciliation and checks before writing. The exact design depends on whether the connected systems support safe retries and how costly a repeated action would be.
Yes. An initial review can establish the code, schedules, dependencies, access requirements and failure history. We can then scope a repair, documentation or ongoing support engagement.
Pricing is agreed per engagement and we quote after a scoping call. A useful first project is one recurring handoff with a clear input and output, such as preparing a weekly report from several systems or reconciling two ledgers. The estimate depends on the APIs, webhooks, exports and authentication the connected tools provide, since source limits and downstream permissions shape what can be automated reliably.
We start by documenting what people check today, including the exceptions and the adjustments they make by hand. The workflow then applies matching, tolerance rules, duplicate prevention and retries before any data is written or a downstream action is triggered. Where a figure must still be adjusted manually, an override layer can record the change without altering the immutable source record, which leaves an audit trail instead of an argument.
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Your next step
Tell us about the work, your current systems and the people who will use the result. We’ll discuss the requirements, delivery options and what an engagement would include.
Remote from Ahmedabad, India · Overlap with any timezone · No obligation