Service
AI & Intelligent Automation
Where to start, what it will cost and which tools to use. 30–50% of RPA projects fail, usually because the wrong process gets picked, or the right process gets automated as-is, locking the waste in.
Done well, RPA can reduce the operating expense of a highly manual process by 20–40% within a year, without changing core systems. We architect the process first, then select, design and govern the automation, with the controls regulators expect.
What we do
Readiness & strategy
Business case, operating model, vendor selection and the first wave of processes.
Process-first automation design
Re-engineer the process and data, then design across RPA, OCR, AI and workflow.
Lifecycle & value management
Agile delivery, governance, maintenance and benefit tracking after go-live.
GenAI risk & safe usage
Policies, guardrails and staff training against deepfakes, data leakage and shadow AI.
Results
98%
faster response to loan applicants
32 → 5
steps in the wire transfer process
4 hrs/day
saved in fund services processing
Build it in-house
AI & Automation training for your teams
Process-first automation and safe generative AI, online and live.
FAQ
Common questions.
What is intelligent automation?
Intelligent automation combines robotic process automation (RPA) with AI such as OCR, machine learning and generative AI, so software can handle documents, judgement calls and unstructured data as well as repetitive keystrokes.
Why do RPA projects fail?
Most fail because the wrong process was chosen, the process wasn't optimized before automation, or technology rather than the business drove the initiative.
How much can automation save?
When the right process is selected and optimized first, RPA can reduce the operating expense of a highly manual process by 20–40% within a year, without changing core systems.