AI & Automations
Automation & Agentic AI
Workflows and AI agents that take on routine work, with people in control
Every business has work that follows the same steps each time: copying data between systems, checking documents, chasing approvals, answering the same questions. We automate it with workflow tools and, where judgment is needed, AI agents that can read, decide and act across your systems, always within clear limits and with a person in control.
- Process discovery
- Workflow automation
- AI agents
- Tool and system integration
- Human-in-the-loop controls
- Monitoring and audit trail
Why it matters
An agent is only as trustworthy as its boundaries. Give it a narrow job, the right tools, a record of every action, and a person to hand back to when it is unsure.
What this includes
Six parts of the work. Which of them you need depends on where you are starting from, and we agree that before anything is built.
- 01
Process discovery
Mapping how the work actually happens today, including the workarounds, before anything is automated.
- 02
Workflow automation
Approvals, notifications and hand-offs that move between systems without re-keying.
- 03
AI agents
Agents that plan and carry out multi-step tasks, such as triaging requests or preparing reports, using only the tools you allow them.
- 04
Tool and system integration
Secure connections to your applications and APIs, so workflows and agents act on real data with scoped permissions.
- 05
Human-in-the-loop controls
Approval steps, confidence thresholds and hand-back rules, so people decide anything that matters.
- 06
Monitoring and audit trail
A log of every automated action and agent decision, with alerts when something needs attention.
Not sure which of these you need?
Tell us where things stand for you today and we will suggest where to start.
How we deliver it
Four stages, agreed with you before the work starts, with a working result at the end of each rather than one reveal at the end.
Choose the process
We pick a frequent, well-understood task and measure its current time and error rate.
Design the boundaries
We define what the automation or agent may do, which tools it can use, and when it must hand back to a person.
Build and test
Built alongside the team, tested on real cases and run in parallel with the manual process before switching over.
Operate and extend
We monitor closely at first, tune on real outcomes, then apply the same pattern to the next process.
The stack
Technologies we work with
The tools we reach for most often in this work. We fit in with what you already run rather than asking you to change it.
3 groups
- 01 / 034
Workflow
- Power Automate
- Azure Logic Apps
- AWS Step Functions
- n8n
- 02 / 035
Agents and models
- OpenAI
- Anthropic Claude
- Azure OpenAI
- LangGraph
- Model Context Protocol
- 03 / 033
Integration
- Python
- REST APIs
- Webhooks
What you receive
Yours to keep when the engagement ends, whether we carry on working together or not.
A process map
The before and after of the workflow, with every system, decision and hand-back marked.
A live automation or agent
Running in production with its permissions, limits and review steps in place.
An audit trail
A log of every action and decision, so any outcome can be explained.
An operating guide
How to monitor, pause and adjust it without calling a developer.
Common questions
The ones that come up in almost every first conversation about this work.
An AI agent does more than answer a question. It plans steps and uses tools, such as searching a system, drafting a document or updating a record, to complete a task. We give each agent a narrow job and clear limits.
Uncertain cases are routed to a person, sensitive actions need approval, every step is logged, and the workflow can be paused instantly.
Not always. Many automations run on platforms you already license, such as Microsoft 365, or on your existing cloud account.
Let's talk about Automation & Agentic AI
A short call is usually enough to work out whether we can help and where it makes sense to start. No preparation needed.