RPA BOT DEVELOPMENT AND CUSTOMIZATION
RPA bot development and customisation
A bot is only as good as the day the target application changes. RPA bot development and customization is where a validated automation idea becomes working software that survives contact with production. Anyone can record a bot that clicks through a happy path. The difference between a demo and a dependable automation is engineering: resilient selectors, real exception handling, reusable components, and tests that catch breakage before users do. We build attended and unattended bots tailored to your systems, and we build them to last.
- Attended and unattended bots, tailored to your systems
- Resilient selectors and real exception handling, not just the happy path
- Reusable components, so the second bot is faster to build than the first
A recorded happy path is a demo. A dependable automation is engineering.
Fragile bots fail the first time real data or a changed screen arrives.
Bot development sits inside Robotic Process Automation and the wider Intelligent Automation portfolio. We choose the most stable way to interact with each application, build shared logic once, and handle the exceptions that break naive automations, so a bot keeps working long after the demo.
The bots, components, and guardrails that make automation dependable.
- Attended bots that work alongside a person, triggered on demand to take the repetitive part of a task off their hands.
- Unattended bots that run headless on a schedule or a queue, processing high volumes without a human in the loop.
- Custom activities and connectors for systems that ship with no clean API, so automation reaches your legacy and niche applications.
- Reusable components for shared steps: login, document handling, notifications, so the second bot is faster to build than the first.
- Robust exception handling that anticipates the data-shape surprises and system hiccups that break naive bots.
- AI-infused steps where rules are not enough: document extraction, classification, or decisions handed to a model instead of a brittle rule.
- Orchestration and queues, so bots share work, retry cleanly, and scale across a fleet.
Build automations engineered to survive the change that breaks fragile bots.
Five steps, from designing for change to a documented hand-over.
Design for change
We choose the most stable way to interact with each application, API over UI where possible, resilient selectors where not, so the bot resists the drift that kills fragile automations.
Build in components
Shared logic goes into reusable, versioned building blocks, not copy-pasted into every workflow.
Handle the unhappy paths
We map the exceptions, bad input, timeouts, empty results, and build explicit handling and retries, not just the golden path.
Test before production
Bots are validated against real and edge-case data, so regressions are caught in test, not in a live queue.
Instrument and hand over
Every bot ships with logging, monitoring hooks, and documentation, so it can be sustained through Support and Maintenance or run for you via RPA Managed Services.
Built on your platform of choice.
A representative stack by layer. We build on the RPA platform you already run rather than replacing it.
When a bot needs to read unstructured documents, we combine it with Intelligent Document Processing. Figures are placeholders; Softobiz to verify against your environment.
From a brittle recording to a resilient, reusable fleet.
Challenge: Pickles ran bots recorded on the happy path; each application change broke them and [X%] of runs failed silently.
Result: Rebuilt on resilient selectors and shared components, incidents fell by [Y%] and new bots shipped in [Z days]. (Softobiz to verify.)
The rest of the RPA practice.
RPA Strategy and Consulting
The roadmap and business case that decides which processes to automate first.
Process Discovery and Analysis
Finding and validating the automation candidates before a bot is built.
Web Scraping and Data Extraction
Clean, structured web and document data that feeds the automations we build.
RPA Managed Services
The operating model that runs and sustains the bots after go-live.
UiPath
The platform partnership behind much of the bot work we deliver.
Robotic Process Automation
The parent practice this bot development service belongs to.
What teams ask us before we build.
Attended fits tasks that still need a person in the loop or run on a desktop. Unattended fits high-volume, back-office work that can run headless. Many processes use both, and we design the split.
Yes. We extend, harden, and refactor existing bots, adding exception handling, reusable components, and AI steps to automations that were built quickly and now need to scale.
When the input is variable or unstructured, or the decision needs judgment. We keep rules for stable logic and hand the ambiguous parts to a model, so the bot stays reliable.
Design and build automations engineered to survive the change that breaks fragile bots.
Attended and unattended bots, tailored to your systems, resilient by design, and built to be sustained.