Event-triggered workflows
Begin an approved action when a form arrives, status changes, payment succeeds, file appears, appointment is scheduled, or deadline approaches.
Business workflow automation
Automate the repeatable work between your people and systems.
When the tools are mostly right but the handoffs are not, targeted automation can connect approved systems, route information, trigger notifications, schedule follow-up, and surface exceptions. The goal is not automation at any cost. It is a reliable operating path with clear ownership, visible failures, and human control where judgment matters.
When to act
The expensive part is often the repeated work between otherwise useful tools.
- Employees copy the same information between forms, spreadsheets, inboxes, and software.
- A message or payment must be noticed manually before the next step begins.
- Approvals stall because no one is assigned, reminded, or shown the exception.
- Customers receive inconsistent confirmations, reminders, or follow-up.
- Reports are rebuilt from several sources before anyone can act.
- A failed integration or incomplete record disappears until someone discovers the problem.
Responsible scope
Connect the handoff and preserve the controls.
Data synchronization
Move supported information between approved systems and define which source remains authoritative when records conflict.
Assignments and approvals
Route work to the correct person, preserve required approval, and escalate late or blocked items without bypassing judgment.
Customer and team notices
Send approved confirmations, reminders, status notices, and next steps with consent, frequency, delivery failure, and ownership controls.
Structured intake
Capture approved form data and files, validate requirements, connect the submission to the correct record, and create a review path.
Exception visibility
Record what ran, what succeeded, what failed, and what needs attention through logs, retry rules, alerts, and manual recovery.
Automation boundary
Automate the handoff—not consequential judgment.
Fixed repeatable rules are usually the strongest candidates. Pricing exceptions, refunds, disputes, safety decisions, legal approvals, and ambiguous records often require a person. AI may classify, extract, summarize, or draft only when confidence, review, privacy, and fallback controls match the risk.
Compare broader custom software ↗Decision controls
- 01Visible failures
- 02Authoritative records
- 03Duplicate protection
- 04Human recovery path
A controlled process
Improve the process before automating it.
- 01
Observe the real workflow
Document the trigger, people, systems, information, decisions, delays, exceptions, and desired finish state.
- 02
Simplify and define control
Remove unnecessary steps, choose authoritative records, define permissions, and identify decisions that require approval.
- 03
Build and test
Implement approved triggers, rules, integrations, messages, logs, retries, and exception handling across realistic success and failure scenarios.
- 04
Monitor and refine
Review failures, provider changes, duplicate actions, exceptions, time saved, and business outcomes before expanding.
Good fit
A strong fit when the trigger and response can be defined.
- The same handoff occurs frequently enough to document
- Existing systems are useful but require repetitive manual bridges
- The business can identify an authoritative source for each record
- A person owns exceptions and failed workflows
- The cost and risk of the manual process justify ongoing operation
Questions before scope
Clear boundaries before work begins.
What is the difference between automation and custom software?
Automation advances a defined process, often between existing systems. Custom software creates a broader owned application with its own records, roles, interfaces, and roadmap.
Do we have to replace our current software?
Usually not. Targeted automation is most useful when current products handle their main jobs but the handoffs are repetitive or unreliable.
Can AI be included?
Yes, for appropriately bounded classification, candidate extraction, summarization, or drafting. Consequential actions require controls and human review appropriate to their risk.
How do you prevent an automation from creating more mistakes?
Define authoritative data, validate inputs, restrict permissions, prevent duplicates, test failure states, log actions, surface exceptions, and retain a manual recovery path.
How is automation work priced?
Pricing depends on workflow complexity, providers, data, triggers, approvals, security, testing, exceptions, monitoring, and support. Discovery isolates the smallest workflow worth operating.
Start with one costly handoff