Agentic Automation · How it works
From Discovery Workshop to agents that keep improving
One team takes you from the first conversation to AI agents running in your business, and keeps improving them once they are live.
The engagement
Four stages, one team
Start small with one process, prove the value, then extend. You decide whether and when to move to each next stage.
- 1
Stage 1 · Discovery Workshop
Where every engagement starts
A working session with the people who know your processes. Together we look for the work agents can take on, and what it would be worth to your business.
Book a Discovery Workshop- Identify the complex business processes that are good candidates for AI automation.
- Uncover operational inefficiencies and opportunities to reduce costs.
- Explore how AI agents could improve your existing workflows and systems.
- Understand the potential business benefits and the practical next steps.
- 2
Stage 2 · Scope and design
Design the agent around your process
For the processes you choose to pursue, we define exactly how the agent will work before anything is built, so you know the value and the cost up front.
- Requirements, mapped from your documents, data and the people who do the work today.
- Agent design: which systems it reads and acts in, and where a person approves.
- Controls for access, releases, monitoring and audit.
- Business value, build and running costs, and a recommended build order.
- 3
Stage 3 · Build and validate
Build on a proven control layer
Agents are built on the same control layer that runs our own agents, so each new use case reuses what is already proven.
- Connections to your systems, memory, multi-step execution, testing, rollback and the ability to stop.
- Every release versioned and evaluated before it goes live.
- Shared components reused across use cases, so each new agent builds on the last.
- 4
Stage 4 · Operate and improve
Run it with you, and keep improving it
We operate the agents inside your IT and keep improving them, so the process keeps getting faster and more reliable.
- Traces, usage and alerts on every run.
- Scheduled reviews turn finished work into memory, so each job makes the next one easier.
- New use cases added as you are ready.
The Discovery Workshop
An accessible first step
The workshop is for businesses that want to understand what AI automation could do for them, before committing to anything else.
Who should take part
The people who own and run the processes you want to improve, and someone who knows the systems involved. From our side, you work with the team that builds and operates our agents.
What to bring
The processes that take the most time, cause the most rework or hold up the business. Examples of the documents, emails or spreadsheets involved help us get specific.
What comes next
A clearer view of where agents could help and what they could be worth. If it makes sense to go further, the next step is scoping and design for the processes you choose.
Operate and improve
Agents that get better with every job
Running an agent is not the end of the project. A scheduled review turns finished work into memory: what worked, what the client prefers, where to find things. Each job makes the next one easier.
It improves fastest when your people say what was wrong, and why. That feedback is built into how we operate every agent.
Learns from every job
The work
Agent and your team work the case together
Logs
Cases, threads and changes
Memory
Best practice and business knowledge
Review
A scheduled reviewer consolidates the lessons
During a project
What we need from you
Agents depend on your data, rules and approval points, so a small amount of the right people’s time makes a big difference.
A project lead
One person on your side who keeps decisions moving and brings in the right people.
Process experts
The people who do the work today, for short, regular sessions to explain the rules and the exceptions.
An IT contact
Someone who can arrange access to the systems and data the agent needs, under your policies.
The team
Work directly with the people who build our agents
Complexica Automations is led by the team that designed, built and runs the agents inside Complexica.
Scientific Advisory Board
International thought leaders in artificial intelligence advise Complexica. About our science
University research partners
The University of Adelaide, RMIT University and the Polish-Japanese Academy of Information Technology. Our partners
25+ years of applied AI
Our staff have published more than 300 peer-reviewed articles and 25 books, and built Decision Cloud®. Why Complexica
Discovery Workshop
Ready to explore your automation opportunities?
Book a Discovery Workshop with the Complexica Automations team. Bring the processes that slow your business down, and we will explore together where AI agents could take on the work.
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