Integrations & Automation
Systems that talk to each other so people stop copying data between them.
We automate the steps your process already follows. Each workflow is built to know what to do, and who to tell, when a step fails.
Workflow automation is software that runs the repeat steps of a business process when a trigger occurs and its conditions are met. Examples are routing a request, collecting an approval, updating a record or sending a notice. Applied from request to completion, it is often called business process automation. It depends on clear rules and error handling.
A good fit for
We follow real requests through the process, including exceptions and workarounds, before deciding anything.
We rank steps by frequency, clear rules and error cost. Some stay manual on purpose.
Triggers, conditions, approvals, deadlines and alerts are written down and agreed with the process owners.
Each step gets a retry rule, a held state and a named person to alert.
We test with realistic requests, including duplicates, missing data and slow or unavailable systems.
We review run logs after launch, name an owner, and test every later change the same way.
Problem
What we do
Each step starts when its trigger fires, so requests no longer wait on memory.
Problem
What we do
Each approval goes to the right person with a deadline, a reminder and an escalation.
Problem
What we do
Before sending a message or creating a record, the workflow checks whether that step already ran.
| Approach | When it fits | What you accept |
|---|---|---|
| Built-in automation | Your current software already offers rules, triggers or approvals. | The limits of that software; workflows stop at its edge. |
| Automation platform | Several systems with ready-made connectors, and rules that change often. | A subscription, its connectors and its limits on runs. |
| Custom integration | Unusual rules, high volumes, or an API with no connector. | A higher build cost, and code to maintain. |
| Screen automation | Old software with no API or export. | Breaks when screens change, so it needs close monitoring. |
Not always. Workflows built on an automation platform or in existing software can often have their rules, recipients and wording changed by a trained member of the team. Changes to custom code, new connections or failure handling need a developer, and every change follows the same test path before it goes live.
Yes. An event trigger starts a workflow when something happens, such as a form submission or a payment. A scheduled trigger runs it at set times, which suits daily summaries, reminders, reconciliation checks and systems that offer no events. Many workflows use both, with the schedule catching anything an event missed.
Running costs depend on how the workflow is built and how often it runs: platform subscriptions, charges from messaging providers, and hosting and maintenance for custom code. Each is estimated from real volumes during scoping, so the monthly cost is known before the build starts rather than discovered after launch.
It depends on how the trigger receives the event. On some automation platforms, many triggers poll apps for new data at intervals that depend on the plan, while instant triggers receive data through webhooks as each event occurs. Providers and networks add delays of their own, so no reaction time is guaranteed.
Workflow automation follows rules someone wrote down. An AI agent uses a language model to decide some of its own steps, which suits tasks involving documents or free text. Agents still need the same foundations: connected systems, permissions, logging and approval points. Building them is covered under AI solutions.
Short answers are above. Open a panel below for the specifics: how we decide, what is included and the deeper questions.
A process that runs many times, follows rules someone can write down and mainly waits on people remembering is what this service is for.
Automating a process on top of records that do not match only moves errors faster, so the data flow is fixed before the workflow.
When a workflow needs records, forms and permissions that no existing system can hold, an application is the better foundation.
The first processes to automate are the ones that run often, follow rules someone can write down, involve the same systems each time and cost something when a step is missed. A process that changes every month, depends on judgment at each step or runs a few times a year is usually better left manual.
Candidates are compared on five criteria, and a process that meets most of them is a good place to start.
Steps that need negotiation, a judgment about a specific customer or an exception nobody can predict stay with people. The workflow hands them over with the information needed to decide, and continues once the decision is recorded.
A person should stay wherever a step needs judgment, authority or accountability: approving spending, accepting an exception, replying to a complaint or releasing something that cannot be undone. The workflow prepares the information, asks the right person, waits with a deadline and a reminder, and records the decision before it continues.
Approval steps are a common, established pattern. Automation platforms can include an approvals capability that automates sign-off requests and combines human decision-making with workflows. Whichever tool runs it, an approval step is built with a named approver, a deadline and an escalation, so a request cannot wait unseen.
Where a process has many paths, it is drawn before it is built. Business Process Model and Notation (BPMN) is a standard notation intended to be understandable by business users while still representing complex process semantics for technical users. That makes it a practical shared language between the people who run a process and the people who automate it.
The workflow sends a reminder before the deadline and escalates to a second approver once it passes. Nothing is approved by default, and the request stays visible as waiting, so a stalled decision is seen rather than lost.
A workflow step is safe to retry when repeating it has the same effect as running it once, such as setting a status on a known record, and the failure is temporary. Steps that send a message, create a record or take a payment are retried only after checking that they did not already happen.
This property is called idempotency: in HTTP, a request method is idempotent when several identical requests with that method have the same intended effect on the server as a single one. Retrying an operation that is not idempotent can run it more than once, with unintended side effects, and a failure that is not transient should be reported rather than retried.
Retries need limits of their own. Waits grow between attempts, a step stops retrying after a set number of tries, and work that still fails moves to a held queue with its error, so a struggling system is not buried under repeated requests and nothing is silently dropped.
Each run carries an identifier, and before a step sends a message or creates a record, the workflow checks whether that identifier already completed the step. A retry or a repeated trigger then finds the earlier result and skips the step instead of repeating it.
A live workflow is changed safely by editing a copy, testing it against realistic cases including the failure paths, recording what changed and why, and switching over when no run is in progress. Runs started under the old rules finish under those rules, and the previous version is kept so a change can be rolled back.
Many breakages start elsewhere: a renamed field, a new required value, an expired credential or a vendor retiring an API version. Run logs and failure alerts catch these early, and a named owner reviews them rather than leaving them to whoever notices first.
Screen automation needs the closest watch, because it depends on the layout of another application. When that application changes, the workflow is tested again before it runs.
Automated steps fail when a system is slow, unavailable or sends something unexpected. A workflow built for that has a defined path from the failure to a recovered run.
The failed step is logged with the error, the input and the time it happened.
A temporary error is retried with increasing waits, only where repeating the step cannot duplicate anything.
Work that still fails is held aside, and a named person is alerted with the details.
Once the cause is fixed, the held work is replayed or completed by hand, and recorded.
Each step starts when its trigger fires, so a request no longer waits for someone to remember it.
Approval points route the choices that need judgment to the person with authority, with a deadline and a reminder.
A failed step is logged, retried only where that is safe and raised to a named person, rather than stopping silently.
Written rules and run logs show what the workflow does and did, so it can be changed with confidence.
The inquiry is routed to an owner by service and region, the sender is acknowledged, and a follow-up task is scheduled.
The order is marked paid, the receipt is sent, and fulfillment starts once, even if the payment event arrives twice.
The booking creates a calendar event, the customer receives a confirmation and a reminder, and staff see the schedule update.
An upgrade, renewal or cancellation updates the customer record in the CRM and notifies the account owner.
Tell us what you need and when you need it. We reply with a clear scope and the next steps.