What does Aitomation automate?
Aitomation automates operational workflows that involve repeated decisions, data movement, system updates, reporting, approvals, portals, inboxes and handoffs between teams.
Intelligently Automating the World
Enterprise automation built for complex, real-world operations.
Aitomation maps messy operations, then builds reliable AI agents, RPA bots, integrations and reporting workflows around the systems your team already uses.
Admin workflows
System handoffs
Operational reporting
Example operating flow
From inbound request to controlled action
Typical target
40-70%
manual handling reduction
Built with a handover plan
Runbooks, exception queues, reporting checks and ownership are designed before an automation goes live.
AI agentsRPA botsAPI integrationsReporting workflowsHuman review queues
Experience
Aitomation has been building automation systems since 2014.
A decade of delivery across workflow automation, AI, RPA, data, QA and custom software.
10+
years delivery
250+
clients supported
3
delivery locations
Buyer path
Choose the right starting point for the workflow.
Start where the decision is stuck: fit, value, approval, pilot, budget, roadmap, controls or partner review.
Start with readiness
Need to know what is worth automating
Estimate value
Need to justify the business case
Build the case
Need approval from leadership
Run a pilot
Need to prove value before rollout
Compare pricing model
Need budget fit before stakeholder approval
Plan the roadmap
Need an implementation plan
Define controls
Need governance before AI goes live
Run due diligence
Need to compare automation partners
Already have a workflow in mind?
Send the context and we will point you to the next practical step.
Services that cover strategy, build and production support.
Strategy, agents, RPA, data, integrations and support are scoped around operating outcomes.
Automation strategy
A prioritised automation backlog tied to operational value
AI agents
Shorter response and processing times for repeat requests
RPA automation
Reduced manual handling for repetitive operational tasks
Data extraction
Cleaner source data without manual collection
QA automation
More confidence in releases and critical workflows
Workflow orchestration
Clearer ownership and status across multi-step processes
A good fit for teams with admin-heavy, process-heavy and data-heavy work.
The common thread is repetitive work moving between people, systems and reports.
Governed delivery
The difference is in the operational detail.
Before anything is automated, ownership, exceptions, data rules and success measures are defined.
Access
Permissions, scopes and data handling rules are explicit.
Exceptions
Failures route to a human queue with context.
Evidence
Logs, approvals and checks are captured.
Ownership
Runbooks make support responsibilities clear.
Enterprise questions
The checks buyers usually need before automation work starts.
Practical answers for teams evaluating governed automation work.
[email protected]Do you work with legacy systems that do not have APIs?
Yes. When an API is not available, Aitomation can use controlled RPA, browser automation, file workflows and monitored handoff logic to automate the process while keeping exceptions visible.
How do you decide what to automate first?
The first step is a workflow assessment. We review the process, volume, error risk, systems, data quality, exceptions and expected value, then sequence automation work around practical business impact.
Can AI agents update business systems?
Yes, with defined permissions, approval points and audit logs. Sensitive actions route through human review or constrained system tools instead of unrestricted AI control.
What happens after an automation goes live?
Production automations need monitoring, runbooks, exception handling and change review. Aitomation can support and optimise workflows as systems, teams and process rules change.
Is Aitomation an RPA company or an AI agents company?
Both, by design. Aitomation is an automation engineering partner: RPA and browser automation where systems lack APIs, governed AI agents where work needs interpretation, and API integration where systems can connect directly. The workflow assessment decides the mix, not a preferred tool.
How much does AI automation or RPA cost?
Budget is driven by workflow complexity, the systems involved, exception-handling depth and the support model. Aitomation scopes engagements after a workflow review, and the consulting pricing page explains engagement models and budget drivers before any call.
How long does an automation project take?
Engagements start with a workflow assessment, then a controlled first release focused on one measurable workflow. Timeline depends on system access, data quality and approval requirements, so scope is sequenced to ship a supportable first release before broader rollout.
Start with the workflow
Find the first automation worth building.
Send one messy process, report or system handoff. We will help define the practical next step.