API and webhook integrations
Connect approved business systems using their supported interfaces: REST APIs, webhooks, OAuth flows and blockchain RPCs. Handle pagination, rate limits, authentication and changes in source records.
Service · Remote-first senior specialists
Workflow Automation Consulting
Connect the steps between your business systems. MV.tech builds API integrations, scheduled workflows, spreadsheet and add-on automation, and the operational plumbing around them — reducing repeated manual work and making failures visible.
- Remote from Ahmedabad, India
- Overlap with your timezone
- Senior specialists, direct access
- Scope agreed in writing
The starting point
Where business automation can help
- People repeatedly move the same records between business tools and spreadsheets.
- Scheduled reports rely on manual downloads, cleanup and distribution.
- Finance or operations reconcile two systems by hand every month and the differences are never documented.
- A spreadsheet has quietly become a business system, with formulas and scripts nobody owns.
- An integration works on the happy path but produces duplicate actions after a retry.
- A script runs in the background without clear ownership, status checks or recovery steps.
What we deliver
Automation that fits your operating process
Scheduled business workflows
Automate recurring data pulls, report preparation, exports and status checks in Python and SQL. Define the schedule, inputs and expected output for each step, and run them somewhere accountable — Cloud Run, a container or scheduled CI, rather than a laptop.
Spreadsheet and add-on automation
Where the process genuinely lives in Google Sheets or Excel, automate it there: Google Apps Script jobs, Sheets add-ons, controlled exports and usage logging. Keep the calculation in a governed source and let the spreadsheet be the interface.
Reconciliation and exception handling
Add checks before data is written or a downstream action is triggered: matching, tolerance rules, duplicate prevention and retries. Where a figure must be adjusted by hand, an override layer can record the change without altering the immutable source record, which leaves an audit trail instead of an argument.
Web and document data extraction
Collect data that has no API. Maintainable Python scraping of dynamic pages and authenticated portals, respecting source terms and rate limits, plus LLM-assisted extraction from documents where the layout keeps changing.
Monitoring, deployment and ownership
Provide logs, useful alerts and operating documentation, with deployment through Docker and GitHub Actions so a change is reviewable. Make it clear who maintains a workflow and how to recover or rerun it when a dependency fails.
- Python
- REST APIs
- Webhooks
- OAuth
- SQL
- Google Apps Script
- Google Sheets add-ons
- Cloud Run
- Docker
- GitHub Actions
- Scheduled jobs
- Cloud Logging
- Reporting workflows
A useful first project
A useful first project: one repeated manual handoff
Pick a recurring handoff with a clear input and output, such as preparing a weekly report from several systems or reconciling two ledgers. Document what people check today, including exceptions and the adjustments they make by hand. The project can then automate the repeatable steps while preserving review where judgment is required. Assess the result using completion time, exception frequency, how much manual reconciliation is left and the effort needed to recover a failed run.
See our delivery processWorking together
A practical path from scope to delivery.
- 01
Observe the current workflow
Map triggers, source tools, manual checks, exceptions and who receives the result.
- 02
Connect and validate
Implement the integrations and test retries, missing data and downstream failures as well as a successful run.
- 03
Schedule and hand over
Agree operating hours, alert recipients, access ownership and a recovery procedure.
Teams our engineers have worked with
- Volvo
- BCW
- RootstockLabs
- Chainlabs
- Toptal
- Turing
Before we begin
Questions about workflow automation consulting.
Not answered here? Ask us directly or read the full FAQ.
Can you automate a workflow across several tools?
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.
Does every automation need AI?
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.
How do you avoid duplicate records or repeated actions?
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.
Can you maintain automations built by another developer?
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.
Related services
Other ways we can help.
Data Engineering Consulting
ETL/ELT pipelines, BigQuery, Snowflake and Redshift warehouses, migrations, semantic models and reporting your team can trust.
ExploreOffshore Data Engineering Team
Dedicated offshore data engineering and analytics capacity from India for ETL, cloud warehouses, BI, migration and data quality work.
ExploreAI Automation, RAG & MCP Development
Knowledge assistants grounded in your documents, MCP servers and custom connectors exposing approved tools, and LLM features with evaluation built in.
ExploreYour next step
Tell us what needs to work better.
Bring your goal, current tools and preferred working hours. We use the first 30-minute conversation to clarify fit and an initial scope, and you leave with a written next step.
Book a 30-minute call Email your brief contact@mvtech.solutions
Remote from Ahmedabad, India · Overlap with any timezone · No obligation