INTELLIGENT AUTOMATION SERVICES
Intelligent automation strategy and delivery
Our intelligent automation services reverse that order. We start with the process, decide what should actually run it, and only then build. Some work belongs to bots, some to orchestration, some to AI that can read and judge, and much of it to a combination.
- [XX] processes automated in production (placeholder; Softobiz to verify)
- [XX]+ automation engineers (placeholder; Softobiz to verify)
- [XX%] average reduction in target-process handling time (placeholder; Softobiz to verify)
There is no single automate-it button.
Vendors who imply otherwise are selling a license, not an outcome. The first decision in any credible program is a fit decision: what is the nature of the work, and which capability suits it.
High-volume, rules-based work on stable screens belongs to robotic process automation. Variable inputs, unstructured documents, and judgment calls belong to AI agents and document processing. Multi-step work spanning people and systems belongs to business process management. And when you do not yet know where the waste is, process mining shows the real process before you spend on automating the wrong step.
Most enterprise value comes from combining these, not choosing one. Read as a stack, that is a system that improves a process end to end. Read as separate purchases, it is the failure mode we are hired to fix.
There is no automate-it button. There is the right tool for each process, and the discipline to choose it.
Automation maturity is not a switch. It is a climb.
We meet you on the rung you are actually on and engineer the next one, rather than pointing bots at everything.
Tool-first
Bots bought before the work was understood; scripts break on every screen change.
NEXT MOVERun discovery with process mining before touching another bot.
Evidenced
Mining shows the real process, its bottlenecks, and where variability lives.
NEXT MOVEMatch each step to the right tool: bot, agent, orchestration, or redesign.
Fit-matched
Deterministic steps run on RPA; judgment on AI; multi-step flow on iBPMS.
NEXT MOVESequence the tools into one orchestrated, stateful flow.
Orchestrated
A single flow runs human and system tasks end to end and keeps a record.
NEXT MOVELayer low-code experiences and hyperautomation across processes.
Owned
A dedicated pod owns the estate, monitors bot health, and compounds knowledge.
NEXT MOVEPortfolio-level conformance, bot ops, and responsible scaling.
Most enterprises start at the wrong end. Automation advisory gives you an honest read on where automation actually pays.
Enter at any layer: a where-to-automate assessment, a single high-value build, or an embedded team.
Automation advisory and consulting
An honest read on where automation pays, a prioritized backlog, and the platform choice to match.
EXPLORE02Low-code development
Custom apps and workflow interfaces built fast on governed platforms.
EXPLORE03Robotic process automation
Attended and unattended bots for high-volume rules-based work, built to be maintained.
EXPLORE04Intelligent process mining
The evidence base: what your process actually does, where it stalls, and why.
EXPLORE05Business process management
Orchestration of human and system tasks with BPMN, state, and exception handling.
EXPLORE06Hyperautomation frameworks
The disciplined use of the full toolset on one process, built as a layered stack, not a pile of point tools.
EXPLOREAn owned estate, not a bot graveyard.
The reason automation programs decay is ownership. Bots are shipped, the consultants leave, screens change, and within a year half the estate is broken and nobody is accountable.
Through our Global Capability Centre and dedicated-team model, you get a persistent pod: process analysts, RPA and iBPMS engineers, and AI specialists who own the estate, monitor bot health, and compound knowledge of your systems instead of resetting it at every hand-off. Where a process needs judgment, the AI agents we add are governed under Greenlight, so automation and AI hold to the same standard.
The engineering rhymes across sectors. The constraints do not.
Regulation, document volume, and legacy systems shape every build.
An automated estate is only as good as the control that watches it.
Bot ops that watch health and throughput, so a broken screen surfaces as an alert, not a silent failure.
Conformance checking against the mined process, so drift from the intended flow is caught early.
A full audit trail across every automated step, human and system, that a regulator can reconstruct.
Defined human-in-the-loop gates on exceptions and high-risk decisions, not blanket automation.
We treat oversight as an engineering requirement, not a review stage. Where automation carries AI judgment, the same responsible controls apply. See Responsible AI and Governance.
From brittle bots to an owned, orchestrated estate.
Equalis Group re-platformed a fragile RPA estate onto an orchestrated hyperautomation stack, stabilizing what belonged in bots and moving variable work to AI and iBPMS, cutting target-process handling time by [XX%].
Softobiz to supply verified engagement and metrics.
The ones we answer most.
With discovery, not tooling. A short assessment of where the real waste and variability sit tells us whether the answer is a bot, an agent, orchestration, or a redesign. Automation Advisory does exactly this.
Yes. Brittle bots usually signal work that was never a fit for pure RPA. We stabilize what should stay, and re-platform the rest onto orchestration or AI where variability lives.
No. RPA is one execution layer. Intelligent automation is the discipline of choosing and combining mining, RPA, iBPMS, low-code, and AI so the whole process improves, not one step.
Name the process that costs you the most time, rework, or risk. We'll show you which mix of tools actually fixes it.
Not a license, an outcome. Tell us where the work stalls, and we will match it to the right combination of mining, RPA, iBPMS, low-code, and AI from where you actually are today.