Classify requests
Capture emails, forms or tickets and route them correctly.
Automation with explicit boundaries and traceable actions.
We combine deterministic rules, AI for interpretative steps and existing systems. Every workflow receives defined permissions, validation, exception paths and logs.
Discuss Your ProjectStarting point
When automation is useful
- Information is repeatedly read, classified or re-entered.
- Handovers between email, documents and systems consume time.
- A process has clear normal cases and exceptions requiring review.
- Staff manually coordinate status, data and approvals.
Automation or AI agent?
Conventional automation follows a defined workflow. An AI agent can also interpret unstructured inputs and use approved tools within defined boundaries.
The right solution may be rule-based, AI-assisted or a deliberate combination of both.
What you receive
Documented current and target workflow
Explicit automation boundary
Role and permission model
Implemented connectors and workflow steps
Review and exception interface
Test cases, monitoring and runbook
Typical applications
Process documents
Extract and validate information before passing it downstream.
Prepare information
Combine data and prepare drafts for responses or reports.
Synchronise systems
Reduce repeated data entry and manual handovers.
Coordinate approvals
Connect checks, questions and approvals in a traceable process.
Complete defined tasks
Use agents with selected tools for clearly scoped work.
What we need from you
- A process owner and staff from the current workflow
- Normal cases, exceptions and binding approval rules
- Test data and access to affected systems
- Owners for domain review and operation
Guardrails
- An agent receives only the tools and permissions required for its defined task.
- Critical or irreversible actions continue to require approval.
- Uncertainty, partial failure and exceptions need visible handling paths.
From workflow to dependable automation
- Step 1
Map the workflow
Understand triggers, inputs, decisions and exceptions.
- Step 2
Assess the potential
Separate clear rules from useful AI support.
- Step 3
Implement the workflow
Connect systems, add checks and test critical cases.
- Step 4
Observe real-world use
Use feedback to adjust boundaries and workflows.
Not every task should run autonomously
Where impact, uncertainty or exceptions matter, we include checks, approvals and clear responsibilities.
Frequently asked questions
What is the difference between automation and an agent?
Automation follows rules. An agent can interpret input and use approved tools within defined boundaries.
Do we need to automate the whole process?
No. Automating selected time-consuming steps is often more useful.
What happens when a result is uncertain?
Validation, stopping conditions, logging and human review are selected according to the risk.
Can older systems be connected?
That depends on available interfaces, exports and other dependable connection options.
Which workflow repeatedly consumes your team’s time?
Show us the process. We will assess which steps can be automated usefully.