06.1
Process discovery and mining
See how processes actually run, where time and rework go.
- Process maps
- Bottleneck analysis
- Automation candidates
Intelligent Automation
The right mix of workflow, integration, RPA and AI agents for each process.
Automation succeeds when it starts from how the process really runs and uses the simplest tool that works for each step. AI agents are powerful for variable, judgement-heavy work; deterministic workflow and integration remain better for everything else.
We design automations with humans approving risky steps, full audit trails and clear exception handling, so they survive contact with real operations.
What is included
Service offerings
06.2
Automation strategy and CoE
Pipeline, standards and a centre of excellence to scale.
- Automation strategy
- CoE operating model
- Benefits tracking
06.3
Workflow and low-code
Case management and workflow on BPM and low-code platforms.
- Workflow design
- Built application
- Integration
06.4
RPA
Bots for legacy screens where APIs are not available.
- Bot design
- Deployed bots
- Monitoring
06.5
AI agents and document AI
Agents and document understanding with guardrails and approvals.
- Agent design
- Guardrails and evaluation
- Production agent
When to call us
Signs you need this
- Staff re-key data between systems all day.
- RPA bots break often and are expensive to maintain.
- Leadership wants AI agents but risk teams are not convinced.
- Service levels slip as volumes grow.
Approach
How we work
01Discover
Mine and map the process with the people who run it.
02Design
Choose workflow, integration, RPA or agent for each step by risk and variability.
03Build
Automate with approvals, audit and exception handling built in.
04Improve
Monitor performance and expand the automation pipeline.
Standards and frameworks
Aligned with recognised practice
- BPMN 2.0
- OWASP Top 10 for LLM Applications (for agents)
Technology
Platforms we work with
Vendor-neutral: examples of platforms commonly used in this service. Names identify technologies only and do not imply a partnership.
- UiPath
- Microsoft Power Platform
- Celonis
- Pega
- Appian
- OutSystems
- Camunda
- Automation Anywhere
Insights
Further reading
Agents, Workflow or RPA?
Most processes need judgment at a few steps, not everywhere. Build the process spine as a deterministic workflow, use RPA only where there is no API, and give agents the narrow steps where judgment over messy input actually pays.
Read →Agentic AI in the Enterprise
The hard part of enterprise agents is no longer building one. It is making many of them reliable, affordable and governable, on products that change faster than procurement cycles. That is a control-plane problem before it is a model problem.
Read →Human-in-the-Loop Design
Adding a reviewer does not make automation safe. Human oversight works only where the human adds information the system lacks, and only if you measure whether reviewers actually catch errors.
Read →Designing Agents With Guardrails
An instruction in a prompt is a request, not a control. Design every agent on the assumption that its model will eventually be manipulated, and put the guardrails where the model cannot reach them.
Read →Talk to us about Intelligent Automation
Engage this service on its own or as part of a solution. We will agree scope, outcomes and the right team with you.
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Cloud and Platform Engineering
Secure, cost-aware cloud foundations for data and AI, in the right region.