Systems integration layer
Every ERP project ships with a synced integration. Most break by the third month and nobody notices till finance asks why two systems disagree by ₹4 lakh. The original project ended, the integration is somebody's afternoon job, the logs are gone.
What's included in Integration layer.
We build the integration layer as a real, observable system, so no sync logic hides in a cron-job script. Idempotent, retryable, replayable, and loud about its own failures.
Mid-size companies running multiple systems where the seams are leaky: Tally + a custom app, SAP B1 + a CRM, WhatsApp Business + a helpdesk, Razorpay + accounting. Especially good when a previous integration broke and rebuild-from-scratch is on the table.
- 01
Inbound + outbound webhooks
Receive events from any source, fire events to any target. Both sides idempotent, both sides retryable, both sides logged in raw form for replay.
- 02
Retry + dead-letter
Exponential backoff on transient errors, dead-letter table for the rest. Dead-letters are reviewed on a fixed schedule, before they turn into a problem.
- 03
Replay
Replay a single event, a window, or the full feed against a new handler. Used for fixing past data and for re-running a migration.
- 04
Sync state
Every entity has a sync record: last attempt, last success, last error. Easy to answer 'is this invoice in Tally yet?' without a developer in the room.
- 05
Observability
Per-integration health endpoint, last-success-at metric, queue depth, error rate. Slack or email alert when a sync degrades.
- 06
Connector library
Tally Prime, SAP B1, Razorpay, Microsoft Graph, WhatsApp Cloud API, GSTN, Google Workspace, HubSpot, and Salesforce, all reusable across projects.
From fragile scripts to an observable sync layer.
Audit the current seams
We look at every sync running today, whether a script, a cron job or a manual export, and find where records already disagree between systems. The written scope then states which connections are repaired, which are replaced, and how mismatched records get corrected.
Build the sync layer
We build queues, retry logic and a sync record for each entity, reusing our connectors for Tally, SAP Business One or WhatsApp where they fit. Raw events are stored from the first run, so earlier records can be replayed through the new handlers.
Monitor and review
We set health checks and alert thresholds for each connection, then review the dead-letter table on a fixed schedule with your team. When a connected system changes its API or fields, we update the connector before the mismatch reaches finance.
Questions about Integration layer.
- How do we stop re-entering the same data in Tally and our other systems?
- We connect the systems so an order, invoice or payment entered once reaches the other side automatically, through webhooks and queues rather than a script hidden in a cron job. Each record carries a sync status showing the last attempt, last success and last error, so anyone can check whether an invoice is in Tally yet without a developer in the room. Transient errors retry on their own, and anything that still fails goes to a reviewed dead-letter table.
- Which systems can the integration layer connect, such as Tally, SAP B1, WhatsApp and GSTN?
- Our connector library covers Tally Prime, SAP Business One, Razorpay, Microsoft Graph for Microsoft 365, WhatsApp Cloud API, GSTN, Google Workspace, HubSpot and Salesforce, and we reuse it across projects. Other systems are assessed during the requirement study, based on the API or export they offer. Your accounting system stays the book of record, and the integration layer sits alongside it rather than replacing it.
- Our last integration broke after launch. Do you repair it or rebuild it?
- We decide once the requirement study is done. We look at what the current integration does, where it fails and which records already disagree between systems, then agree in writing what gets repaired, what gets rebuilt and how past data is corrected. Because the new layer logs every event in raw form, it can replay a single event, a time window or the full feed against a new handler to fix historical records.
- How will we know when a sync between two systems stops working?
- The integration layer reports on itself. Each integration has a health endpoint, a last-success-at metric, queue depth and error rate, and a Slack or email alert fires when a sync degrades, rather than when finance notices two systems disagree. Dead-letters are reviewed on a fixed schedule instead of being ignored. After go-live, that review and any connector changes can run under a maintenance retainer.
Power Automate vs Custom Code (Node.js): A Decision Framework for SMBs
Low-code and code-first aren't rivals. They're tools for different problems. Here's how we decide, four real workflows split step by step, and the hybrid that tends to outperform either alone.
IntegrationHow to Integrate TallyPrime With Your CRM, ERP or Custom App
TallyPrime can take invoices from your CRM or ERP and hand data back, but only if the integration is designed around how Tally actually runs. Here are the methods it supports, and the design decisions that matter more than the transport.
Tell us what's slowing you down.
A 30-minute discovery call. We map the process, point out the easy wins, and outline a clear plan (no obligation).