Bots built to survive production.
We design, build and deploy attended and unattended bots on queue-driven patterns, with exception handling and release discipline from day one.
Most bots fail after go-live.
A recorded sequence of clicks can pass a demo. It rarely survives a month of production. Screens change, sessions time out, input files arrive malformed and a single unhandled pop-up halts the whole run.
The fix is engineering. We build every bot around work queues, a state machine for initialisation, processing and closure, and a clear split between business and system exceptions. The result is automation that recovers on its own, reports what it did, and can be maintained by someone who did not write it.
One bad record goes to a retry or exception path without stopping the rest of the queue.
Business rule failures route to people, system failures trigger retries and alerts.
Structured logs record each transaction item, its status and the reason for every exception.
Reusable components, config-driven values and naming standards make handover realistic.
Everything a bot needs to go live.
Process definition document
A PDD with as-is steps, systems, inputs, volumes, business rules and every known exception, signed off by the process owner.
01Solution design document
An SDD covering architecture, queue design, credential handling, error strategy, logging and the run schedule.
02Unattended bots
Orchestrator-scheduled or queue-triggered bots for back-office work that runs overnight or around the clock.
03Attended bots
Desktop assistants triggered by agents in contact centres and operations teams to remove copy, paste and lookup work.
04Test packs and UAT
Unit tests per component, end-to-end scenarios with real data variants, and a UAT script business users can run.
05Release and hypercare
Versioned packages promoted through dev, test and production, followed by a monitored hypercare window.
06Five stages from PDD to steady state.
Assess and document
We walk the process with the people who run it, capture screens and edge cases, and confirm volumes, SLAs and exception rates in the PDD.
Design the solution
The SDD fixes the dispatcher and performer split, queue schema, retry counts, credential assets and what the bot does when each system is down.
Build in sprints
Developers build reusable components against design standards. Every sprint ends with a peer code review and a demo on test data.
Test and accept
System testing covers happy paths, business exceptions and induced system failures. UAT runs on production-like data with the business signing off.
Deploy and stabilise
We promote the package through the release pipeline, run hypercare with daily checks, tune retries and selectors, then hand over to support.
Tools we build and run with.
RPA platforms
Orchestration and queues
Credentials and security
Engineering practice
What well-built bots typically change.
Cycle time
Work that waited in a queue for a shift now clears as soon as it arrives.
Keying errors
Data moves between systems exactly as validated, with no transposed digits.
Capacity
Unattended bots process overnight and on weekends without overtime.
Audit trail
Every transaction item carries a timestamped log of what was done and why.
How do you decide between attended and unattended bots?
Unattended suits high-volume work with no judgement in the loop, such as reconciliations and data entry. Attended suits work that starts with a person, such as an agent on a customer call who needs records pulled from four systems.
What is a REFramework-style pattern and why does it matter?
It is a state machine that separates initialisation, getting the next transaction, processing it and closing down. It gives every bot consistent retry logic, recovery after a crash and clean logging, so support teams know where to look.
How do you handle application changes that break selectors?
We use anchored and fuzzy selectors, avoid coordinate clicks, and keep UI interactions inside reusable object libraries. When a screen changes, one component is fixed and every bot that uses it is repaired.
Who owns the code when the project ends?
You do. Source lives in your repository, the SDD and run book are handed over, and your team or our managed service can support it from day one.
How long does a typical bot take?
A medium-complexity process with two or three applications usually takes four to eight weeks from PDD sign-off to production, including UAT and hypercare.
Find your first ten automations in two weeks.
A structured discovery sprint that maps your processes, scores them for automation potential and hands you a prioritised roadmap with effort and payback for each.