Hours back, measurably
Handling time is counted before and after on the same sample of work, so the saving is a number rather than an impression.
AI Core — Where we lead
AI Automations
The routine work your team clears every morning, running overnight instead.
- n8n / Zapier / custom workflow engines
- Document, invoice and email processing
- CRM, ERP and helpdesk integrations
- Human approval checkpoints
- Engagement shape
- Priced workflow by workflow, each with a parallel-run period before cutover.
- Typical duration
- Two to five weeks per workflow.
- Starting point
- The process your team complains about every Monday morning.
Overview
What the work involves.
Automation is a different job from agent development. Most operational load is high volume and low ambiguity: an email arrives, a field is read, a record is updated, somebody is told. A model helps at the reading step and nowhere else.
So we map that path, wire it into a workflow engine, and put a model only where the input is genuinely unstructured — a scanned invoice, a free-text complaint, an attachment nobody named properly. The rest stays deterministic, because deterministic is cheaper to run and far easier to debug at two in the morning.
Every workflow gets a failure path: retries, dead letters, an exception queue a human can see, and an alert when the queue stops moving. The mark of a good automation is how quietly it fails.
Outcomes
What you get.
Fewer handoffs
Records land in the system of record directly, so nobody rekeys between an inbox, a spreadsheet and the ERP.
Exceptions surfaced, not buried
Anything the workflow cannot settle goes to a named queue with its context attached, instead of failing into a log nobody reads.
Changes your team can make
Workflows are built to be read. Your operations lead can move a threshold or a routing rule without booking developer time.
Deliverables
What lands in your hands.
- Process map with current volumes and handling times
- Workflow implementation in n8n or a custom engine
- Document and email extraction with confidence thresholds
- Integrations into your CRM, ERP or helpdesk
- Human approval checkpoints on the steps that warrant them
- Retry, dead-letter and exception queue handling
- Monitoring dashboard and alerting rules
Approach
How we run it.
Time the current path
We sample a fortnight of real volume, measure handling time per step, and mark which steps are judgement and which are transcription. Only transcription is worth automating first.
Automate the transcription
Extraction, validation and routing. Models read only the unstructured parts, behind a confidence threshold that sends doubtful cases to a person rather than guessing.
Wire the systems
Writes reach the system of record with idempotency keys, so a retry never creates a duplicate invoice, a second ticket or a third email to the same customer.
Run it in parallel
The workflow runs alongside the manual process for a fortnight. We compare outputs daily and only switch the manual run off once the two agree.
Each phase ends with something you can read and act on. If the evidence says stop, stopping there is a supported outcome rather than an awkward conversation.
Stack
What we build it with.
- n8n
- Temporal
- Python
- Google Document AI
- Azure Document Intelligence
- PostgreSQL
- Zapier
- Twilio
Tooling is a decision we make per project, against your constraints and whatever your team already runs. Nothing on this list is a requirement, and we will work inside your existing stack where it holds up.
Questions
What clients ask about AI Automations.
n8n for most operational workflows, because it self-hosts and keeps the logic visible to your team. Zapier where a client already lives there. Custom code once volume, retries or transaction guarantees outgrow both.
It goes to the exception queue with the extracted fields and their confidence scores attached, so a person confirms in seconds rather than starting the job again.
Extraction is model based rather than template based, so most layout changes are absorbed. When accuracy does fall, the confidence threshold routes those documents to a human and the monitoring tells you before your finance team does.
Ready to scope AI Automations?
Tell us where the work sits today and what is holding it up. We will come back with the shape of a first phase, what it would prove, and what running it takes.
+91 97915 97993