AI Solutions
The handoffs between your tools,automated.
Orchestration across your existing systems, with the retries, alerting and error handling production actually requires.
Sound familiar?
- “A form submission requires someone to copy data into three other systems.”
- “Your Zapier setup breaks silently and nobody notices for a week.”
- “Approvals sit in inboxes because there's no process, only email.”
Capabilities
What it does.
System orchestration
Connect CRM, ERP, accounting, email, storage and databases into one flow.
Approval routing
Rules-based routing with escalation on delay and a full decision record.
Error handling
Retries, dead-letter queues and alerting — the difference between a demo and production.
Scheduled jobs
Recurring reports, syncs and reconciliations that run reliably.
AI where it helps
Classification, extraction and summarisation inside the workflow.
Observable
Every run logged with inputs, outputs and duration.
How we deploy it
The path from pilot to production.
Most AI projects die between a good demo and a working deployment. This is the sequence that avoids that.
Map the current flow
Including the informal steps people do that aren't in any documentation.
Choose the tool honestly
n8n, Make or custom code — we'll say when a no-code tool is genuinely sufficient.
Build with failure in mind
What happens when a system is down is designed before the happy path is finished.
Monitor
Alerts on failure, because a silent automation failure is worse than no automation.
Hand over
Documented so your team can modify simple flows without us.
Data & privacy
Where your data goes, plainly.
This is the first thing enterprise procurement asks about AI, and most vendor pages avoid answering it.
- Self-hosted n8n keeps workflow data entirely inside your infrastructure.
- Credentials stored in a secrets manager, never in the workflow definition.
- Only the fields a step actually needs are passed to third-party services.
- Full run history retained for audit, with configurable retention.
What it costs to run
Most automation cost is engineering time rather than runtime. Self-hosted n8n on a small server handles tens of thousands of runs a month for a few thousand rupees.
Technology
What we build it with.
- n8n
- Make
- Node.js
- Python
- PostgreSQL
- Redis
- AWS
- Zapier
We're not tied to a model vendor. Systems are built so a provider can be swapped as capability improves or prices move.
Industries
Where it applies.
Often yes, and we'll tell you. Zapier is excellent for simple two-system flows. Move to n8n or custom when volume makes per-task pricing painful, when you need real error handling, or when data can't leave your infrastructure.
It retries with backoff, then lands in a dead-letter queue and alerts a human. Most no-code setups fail silently, which is how people discover a month of missing records.
Simple flows, yes — n8n is visual and we document each one. Anything with complex branching or custom code we'd keep on a support retainer.
Yes. Self-hosted n8n means no workflow data leaves your infrastructure, which matters for regulated clients.
Start here
Tell us the process, not the technology.
The best AI projects start from an expensive manual task, not from a decision to use AI. Describe the task and we'll tell you honestly whether this is the right tool.