Intelligent automation services combine robotic process automation, intelligent document processing, process mining, and AI agents to automate end-to-end business processes, so enterprises cut manual effort and run work faster with expert supervision.
Manual, repetitive work slows down back-office processes and drains capacity from higher-value tasks. InfoSun deploys robotic process automation, intelligent document processing, process mining, and AI agents to automate work end to end, with experts governing the design and AI executing under supervision. Manual effort drops, and processes run faster and more accurately.
Each service runs on the same human-governed, AI-native operating model. Explore any one for what it covers, the outcomes it drives, and how it is delivered.
RPA and AI agents take over repetitive back-office work under supervision.
Automated workflows and straight-through processing speed up cycle times.
Consistent, rules-based execution reduces errors and rework.
Process mining and dashboards show how work actually runs.
Typical ranges across supply chain, logistics, and enterprise engagements, baselined against your current numbers at the start.
Choose the processes together, and analyze them first
Stand up the team, governance, and KPIs
Where supervised AI suits the work, and where it does not
Agents draft and perform; your people approve
Tune against live KPIs with your team
Runs on Manhattan, SAP EWM, and Blue Yonder, plus your TMS and ERP. No rip-and-replace.
| Build in-house alone | Contract it out | Run it with InfoSun | |
|---|---|---|---|
| Speed to value | Slow ramp: hire, tool, and train first | Fast start | Fast start, on the systems you already run |
| Who owns the capability | You, eventually | The vendor | You: playbooks, models, and process transfer to you |
| Process knowledge and data | Stays in-house | Accumulates with the vendor | Stays in your systems and your data |
| AI in the operation | You build it yourself | On the vendor's roadmap | AI-native from day one, human-supervised |
| Measured on | Effort and milestones | Activity and SLAs | Outcomes against your baseline |
83% of global capability centers are engaging generative AI and 58% are building agentic capabilities.
EY GCC Pulse, 2025. Market context, not InfoSun results.
No logos to borrow, no invented results. We prove value the only way that counts: on your baseline, on your dashboards.
We measure your current cost, accuracy, and service together at the start, so every target is grounded in your reality.
We set the outcome numbers with you before work starts. No moving goalposts.
We prove the model on a single workflow or site before scaling, so risk stays small.
You see the movement on your own metrics, monthly, not on ours.
We run on the WMS, TMS, and ERP you already own.
AI agents propose, your experts approve. Never a black box.
Get the baseline and business case before you commit.
Measured on cost, accuracy, and decision speed, on your P&L.
A selection of delivered outcomes from InfoSun engagements. Client names and financials are withheld.
Results from real InfoSun engagements, baselined at the start of each engagement. Client names and financials are withheld by request.
Intelligent automation is the combination of robotic process automation, AI, and machine learning to automate processes that involve both structured tasks and judgment. Unlike basic automation, it can read documents, make decisions, and handle exceptions. At InfoSun, experts govern the design and AI agents execute the work under supervision, so automation is accountable, not autonomous.
RPA automates rules-based, repetitive tasks such as moving data between systems and following fixed steps. Intelligent document processing (IDP) uses AI and OCR to read and extract meaning from unstructured documents like invoices and contracts. They work together: IDP turns documents into structured data, and RPA acts on it to complete the process.
Process mining analyzes the event logs in your systems to reconstruct how processes actually run, not how they are assumed to run. It reveals bottlenecks, rework, and variations, and pinpoints where automation will pay off most. Enterprises use it to prioritize automation, improve compliance, and measure the impact of changes.
AI agents are deployed into enterprise processes by defining the task, connecting the agent to the right systems and data, and setting the guardrails and human checkpoints. Experts supervise the agents, review exceptions, and keep decision rights with people. This human-orchestrated model lets AI execute high-volume work while accountability stays with the enterprise.
Hyperautomation is the coordinated use of multiple technologies, RPA, AI, machine learning, process mining, and integration, to automate as many processes as possible, end to end. It goes beyond single-task automation to redesign whole workflows. The aim is a scalable digital workforce operating under human governance.
RPA follows fixed rules and is best for repetitive, structured tasks. AI adds the ability to interpret unstructured data, learn patterns, and make decisions within set limits. Most real-world automation uses both: RPA for the mechanical steps and AI for the judgment, all under human supervision.
Written and reviewed by the InfoSun operations team. Last updated July 14, 2026.
In a 30-minute assessment we map one high-cost workflow against your baseline and show the path to it.
30 minutes. Scoped to your operation. No obligation.
