Double entry
The same information moves through forms, spreadsheets, CRM and ERP with small differences in every copy.
We connect triggers, rules, systems and owners so repetitive work runs on its own—with logs, retries and alerts whenever a case leaves the expected path.
The team only steps in when something falls outside this path.
We build on what your team already knows. If the platform has an API or webhooks, it integrates; if it does not, we look for the most stable path before proposing a change of tool.
And any other platform with a public API.
Every order came in over WhatsApp or email and someone retyped it into the management system, into the warehouse sheet and into the rep commission summary. We built a flow that takes the order once, validates what can be validated and writes to all three, and left a person in charge of the decisions that are not mechanical.
Electrical supplies wholesaler · Argentina
Who receives the order, which three sheets it gets copied into, which field is retyped in each one and where it stalls. The bottleneck was a single person: if they were out, orders piled up in their inbox until they came back.
Data entry, validation and the warehouse notice were automated. Releasing an order for a client with an overdue balance and approving an off-list price stayed with the back office. Automating that was possible too, and it was a mistake: those are commercial judgement calls, so the flow stops them and leaves them in a tray instead of deciding on its own.
The rep enters the order once. The flow validates the tax ID, looks the client up in the management system, checks that every product code exists and has stock, and only then writes: it creates the order, generates the delivery note, notifies the warehouse and adds the deal to the rep summary. One form triggers the four entries that used to be made by hand.
If the management system or the tax registry does not answer, the flow retries three times with a growing wait between attempts. If there is still no answer, the order sits in a queue with the exact state it stopped at, and when the service comes back it resumes from that step and not from the start. Each order carries its own number, so a retry never creates two identical orders. Every attempt goes to the log with what was sent and what the other side replied, and the back office gets the alert with the order and the reason. Nothing fails quietly: if something did not get loaded, somebody knows the same day.
The same mechanics work for supplier onboarding, reconciling payments against a bank statement or loading purchase invoices: the trigger and the destination change, the way it is put together does not.
Copying one value takes seconds. Doing it hundreds of times, checking it arrived and fixing what failed can occupy an entire part of the operation.
The same information moves through forms, spreadsheets, CRM and ERP with small differences in every copy.
Important tasks happen when someone remembers to check an email or review a column.
The workflow fails silently and is discovered only when an order, document or response goes missing.
Automating one click often moves the work to the next step. We design from the initiating event to the record that confirms completion.
Forms, emails or files are normalised, checked and routed without manual re-entry.
Clear rules resolve predictable cases; amounts, exceptions or differences go to the right owner.
Generation, sending, signature, filing and status update inside the same flow.
Logs, retries, alerts and queues so an error does not become a lost case.
Without a baseline, improvement cannot be proven. We record time, errors and delays before the change and use the same indicators to decide whether to expand.
Events, steps, systems, owners, exceptions and real volume.
High volume, clear criteria and reversible errors—enough impact without concentrated risk.
Shadow mode, controlled data and comparison against what the team does today.
Monitoring, limits, documentation and expansion only after the first release is stable.
The workflow is prepared for success and, more importantly, failure. That second route is the difference between a demo and production.
Billing by the hour hands the client a risk they cannot measure: nobody knows up front how many hours a workflow takes. We do it the other way round. First we write down what gets built and what each piece costs; only then do we build it.
The drawing before the building. Credited in full if you go ahead.
$1,900fixed · 2 weeks
Scope already written in the Blueprint, so no surprises.
from $2,400per workflow
Market reference$2,000–10,000
Keeping what was built working as everything else changes.
from $390per month
For exampleBlueprint plus four standard workflows is $23,200 once — the Blueprint is credited back — and $890 a month to keep them running.
High-volume processes with clear rules, available data and reversible errors. We avoid starting with the most sensitive workflow simply because it makes a better demo.
Yes. We choose according to security, volume, complexity, cost and maintainability. We also use code when a platform adds more limitation than value.
Logs, retries and alerts are designed from the start. The workflow preserves the case and notifies a named person with the context needed to resolve it.
We compare time per case, error rate and detection delay before and after. Hours saved are only one part of the impact.
No. A deterministic rule is usually cheaper and more predictable when it can resolve the case. AI enters when text, ambiguity or context must be compared.
Bring a workflow that consumes hours today. We measure it, inspect the exceptions and define whether a safe, valuable first automation exists.
Kai Kommit agent · Online
Hi — I'm Kai, Kommit's agent. Tell me which process is costing you hours and I'll tell you where to start.
AI agent: it can be wrong. Anything agreed is confirmed by the team. Prefer the form →