On Page Navigation
On Page Navigation
Your Frappe apps already know what should happen next, and automation is what makes it happen without somebody remembering. Our Frappe automation services build the workflow states, approval chains, notifications, scheduled jobs, and recurring data syncs that move work through ERPNext, Frappe HR, Helpdesk, or whatever else you run. Send a request whenever a process starts costing more time than it should, and we configure it, test it on a staging copy, and switch it on with a documented way to switch it back off.
Built to run without a babysitter
Anyone can switch on a notification. The difference shows up a year later, when the business has changed, the person who built the rule has moved on, and nobody is sure what fires or why. We build automation that is configured rather than coded wherever possible, tested before it touches live data, documented as it ships, and reversible the moment it does something you did not intend. That is the part most people skip. Deciding which processes deserve automating at all is a separate question, and one we take on platform by platform in our automation design work.
In practice that means the rule is written where the data already lives, so there is no third system to keep credentialed and no webhook to go stale. It gets tested against a copy before it is pointed at anything real. What it does and why is written down at the time rather than reconstructed later from the code. Every run leaves a record, so a failure is visible instead of silent. And any of it can be switched off in a minute, which is the property that makes people willing to try the next one.
Frappe already ships a workflow engine, a notification system, and a job scheduler. We use them first and reach for custom code only when your requirement genuinely needs it. Configuration survives version upgrades in a way that bespoke code does not, so the automation you pay for this year still works after the next release.
Automating a process that should be deleted just produces the wrong result faster. When we walk your steps and find an approval nobody reads or a report nobody opens, we say so before quoting the work. You get a shorter process and a smaller automation, which is usually the cheaper outcome.
A notification rule with a bad condition can email two thousand people in a minute. Nothing we build touches your live instance until it has run against a staging copy with your real data, your real roles, and your real volumes. You see what it does before your team does.
Hourly billing punishes you for asking questions. A flat monthly fee with a fixed number of active requests means you always know the cost and we always know the workload. Send the small automations too, because a five minute rule costs you nothing extra to ask for.
Rules that cannot be found cannot be stopped. Everything we build is documented with what it does, when it fires, and exactly how to disable it, and your team holds that documentation from day one. If an automation misbehaves at four in the afternoon, you are not waiting on us to make it stop.
The person who configured your last workflow probably explained it to nobody. We hold that knowledge as a team rather than as an individual, so the tenth request starts faster than the first and nothing critical lives in one head. Staff changes on your side or ours do not reset your automation.
Why teams stop doing this in-house
Most Frappe automation starts as a favour. Someone technical wires up a workflow between other tasks, it works, and it quietly becomes infrastructure that nobody owns. Here is how that arrangement compares to a subscription partner whose job is keeping the automation correct as your business changes. Where those rules span several systems rather than one, keeping automations running across a mixed stack is a service in its own right.
A configured workflow records who approved what and when inside the document itself, so the audit trail exists without anybody maintaining it separately. In-house approval usually means an email chain plus a spreadsheet somebody updates afterwards.
We watch the scheduler and the queues. A job that stops running never announces itself, so without that the first sign of trouble is missing data somebody notices weeks later.
Internal fixes stop at the edge of one team's remit. We look at the whole path a document travels, which is how a purchase request gets from requisition to approval to payment without a manual handoff in the middle.
Every rule ships with notes on its trigger, its conditions, and how to switch it off. Your team can answer questions about it without opening a ticket. Undocumented automation is a liability disguised as efficiency.
When automation lives with one internal person, every question and every failure routes through them. Put a team behind it instead and your admin can take a holiday without the approval queue backing up.
Business processes change faster than anyone updates the automation behind them. With ongoing requests, a rule that no longer matches reality gets adjusted in days. The alternative is everyone working around it until somebody turns it off.
Built for teams doing it by hand
Automation pays off where volume meets repetition. If your team forwards the same approval email every week, retypes the same figures into a second system, or hears about a missed deadline from the customer first, there is usually a rule waiting to be built that removes the whole category of problem. Server scripts, document hooks and workflow states are the Frappe answer to that. If your business runs on Zoho instead, the toolset has nothing in common and the work belongs with Deluge, Zoho Flow and RPA.
How we work with you
Whether it is a single alert or an approval chain spanning four departments, the rhythm is the same. We learn how the process runs today, build it on a staging copy, prove it against your real data, then switch it on and write down what it does. That sequence keeps automation from becoming a surprise.
1
Every request starts by watching the process rather than the request. We work out who touches the document, what they decide, and where it stalls, then confirm which parts belong in Frappe's native workflow and notification layer. This is also where we tell you if a step should be removed instead of automated, which happens more often than you would expect.
2
Work happens on a staging instance, never on production. The rule gets configured and then fired against your real documents, your real roles, and realistic volumes, so you can see what it emails, what it routes, and what it changes. You review the behaviour and approve it before anything reaches your live instance.
3
Once you approve, we enable the automation in production, watch its first runs, and write down what it does, when it triggers, and how to disable it. That documentation goes to your team, not into our notes. Because this is a subscription, we are still here when the process changes and the rule has to change with it.
Pricing
Standalone Service
DETAILS
Standalone Service
DETAILS
Testimonials
Everything we automate
