Enterprise integrations
Enterprise integration engineering for APIs, data systems, identity, workflows, and production operations.
Who this is for
This is for you if a strategic customer needs an integration that is not on your roadmap, or manual reconciliation is absorbing expensive operating capacity.
What it is
Enterprise integration engineering connects a product to the systems a customer already relies on. The work hardens interfaces across applications, data, identity, infrastructure, and business workflows.
Problems we work on
- A strategic customer requires an integration that is not on the roadmap
- APIs or data models do not align cleanly between systems
- Security, access, audit, and deployment requirements slow a rollout
- A one-off integration needs to become reliable and supportable
- Manual reconciliation is absorbing expensive operating capacity
The work
- Design API, event, batch, and data exchange paths
- Map schemas, state transitions, permissions, and failure behavior
- Integrate identity, observability, retry, and recovery controls
- Build test environments and validate end-to-end behavior
- Document ownership, operation, recovery, and future extension
What automation saves
Put in your numbers and see what you save each year and when the build pays for itself.
what manual work costs you a year
what you save a year
when the build pays for itself
Automate with us — Keep doing it manually —
Your numbers, not a quote. Savings do not include revenue effects or error costs, and are not a guaranteed return.
How the engagement runs
- A small team is composed around the work instead of a fixed staffing shape
- The engagement runs on a monthly cadence with named outputs and exit criteria
- It ends with a documented handoff to your team or continued operation
How Aravali Labs works
- Start from the customer workflow and production constraints
- Quantify the manual work and failure cost before selecting automation
- Keep code and operational knowledge in the company’s systems
- Make failure modes visible, testable, and recoverable
- Extract connectors and patterns only where reuse is operationally sound
Outputs
- A system map with sources, destinations, contracts, and owners
- Versioned integration code with observable failure handling
- Reconciliation, retry, alerting, and recovery procedures
- End-to-end test coverage across representative customer data
- An operating model for maintenance and controlled change
What to measure
- Manual hours removed or redirected from repetitive work
- Successful transaction rate and time to recover from failures
- Latency, data freshness, and reconciliation accuracy
- Integration maintenance cost relative to business value
Questions
- What systems can be integrated?
- The work can span APIs, databases, data platforms, identity systems, business applications, cloud infrastructure, and customer-specific internal systems.
- Can an integration become part of the core product?
- Yes. When a customer need is repeatable, the initial integration can become a maintained connector or product capability.
- What does the savings calculator include?
- It uses your assumptions for manual workload, what an hour costs, how much can be automated, the build cost, and upkeep. It is a planning tool, not a guaranteed return.