Requests without an owner
Requests land in shared inboxes, with no clear owner or reliable way to see who needs to act next.
Workflow automation & orchestration
Operational delays often happen between teams, systems and decisions. We map the end-to-end workflow, make ownership visible and automate the repeatable steps without removing the human decisions that matter.
The operational constraint
Requests land in shared inboxes, with no clear owner or reliable way to see who needs to act next.
Teams re-enter the same information across disconnected systems, creating delays and avoidable errors.
Decisions wait in queues, while process owners struggle to see status, bottlenecks or escalation needs.
Exceptions are handled outside the process, so repeat work and avoidable delays are hard to measure.
A clearer way of working
Six practical stages connect a clear business decision to a working, governed workflow. The first three establish what is worth improving before committing to delivery.
Establish cycle time, backlog, rework and the outcome owner.
Find waiting points, repeated work, system dependencies and exceptions.
Agree the workflow, integrations, automation fit and approval rules.
Link the required systems and make ownership visible.
Build and test rule-based or AI-enabled steps where justified.
Monitor exceptions, support users and measure the result.
Every stage has an accountable owner, decision evidence and a defined next commitment.
Measure the change, not the number of automated tasks. Agree a baseline before building and compare the results after launch.
Choose the right level of automation
Start with the work that is delayed. Use clear rules for predictable steps, AI for variable information and agents only where coordinating tasks creates additional value.
ILLUSTRATIVE EXAMPLE · ONE SUPPLIER ONBOARDING JOURNEY
Follow defined rules to route requests, send notifications and update connected systems.
Capture the application, check required fields and send standard approvals to the right person.
A person makes the final approval decision.
Use AI to interpret documents, flag gaps or recommend next steps when inputs vary.
Read registration documents, highlight missing information and flag discrepancies for review.
People verify uncertain or material findings.
Let an authorised AI agent coordinate bounded, multi-step tasks across permitted tools and systems.
Check an incomplete case across approved sources, coordinate follow-ups and prepare exceptions for review.
Permissions, monitoring and human sign-off remain in place.
These are possible approaches, not promises of automated decisions or guaranteed savings. Fit depends on the process, information quality, risk and measurable business value.
Powered by the right platform
Where appropriate, the OutSystems Agentic Systems Platform supports connected enterprise applications, workflow orchestration, integrations and AI agents. ExoSystems powered by Indigo helps assess platform fit and design the right mix of automation, human oversight and enterprise delivery.
Controls at every stage
Value, architecture, security, data, delivery, AI and cost are addressed from the first decision — not added as a final checkpoint before production.
Indigo delivery example · Zwilling
A centralised vendor management system brought supplier onboarding, tendering and tracking together on OutSystems.
Explore enterprise delivery servicesNext step
Bring the process, the bottleneck and the result you need. We will explore a practical, governed route to improvement.
Workflow Value Review