What makes it agentic
The difference is who decides the next step
Agentic automation goes further than chat assistants and rule-based tools, because the agent plans and completes the work itself.
01 · Assist
Chat assistants
You ask, it answers, and you still do the work.
Next step decided by you
02 · Automate
Rule-based workflows, such as RPA
The same fixed steps run the same way every time, such as keying each order email into the ERP. When the input or the process changes, the automation stalls.
Next step decided by fixed rules
03 · Operate
AI agents
An agent is given a goal. It plans the work, acts in your systems, checks the result and keeps going until the job is done.
Next step decided by the model, within the limits you set
Agent architecture
Agent=Model+Harness+Enterprise
A capable model is only the start. What turns it into something a business can run is the harness around it, inside your enterprise controls.
Model
The reasoning
Reads context, plans and chooses the next step. We are model-agnostic and match the model to the task.
Harness
The system around the model
Connects to your systems, remembers state and runs multi-step work. Tests its work, rolls back and stops.
Enterprise
Your standards
Permissions, audit, approvals and change control. The agent sits inside your IT, not beside it.
The control plane
The agent is the small part. The control plane is the job.
Getting an agent to work is the easy part. Running it safely inside your IT is the hard part, so every agent we build sits inside five controls.
Identity and secrets
Who the agent is, and what it can unlock
Policy and approvals
Permissions, plus a person for high-risk steps
Jobs and sessions
Queue, retry and resume long-running work
Config and releases
Versioned, and evaluated before each release
Monitoring and audit
Traces, usage and alerts on every run
Five controls around an isolated runtime: gateway, harness, model client, tools and persistent memory.This is the layer we build.
Human oversight
Autonomous by design. Gated by your business.
Nothing technical stops an agent from running a process end to end. You decide where a person signs off: routine steps run on their own, and high-risk or commercial steps wait for a yes.
Set per workflow
Approval points are agreed for each process during design, and can change as trust grows.
Judgement in the loop
People handle exceptions and decisions. Agents handle the repetitive work in between.
Gates for our support workflow
- Pick up the ticketSupport AgentAuto
- Investigate and diagnoseSupport AgentAuto
- Create the code changeAn engineer says yesGate on
- Build the fixDev AgentAuto
- Check before releaseQA AgentAuto
- Review the codeAn engineer approvesGate on
Audit trail
Every decision can be traced back
Every run leaves a record at three levels, so anyone can see what the agent concluded, how it got there and the evidence it used.
Conclusions link back to the document, record or data they came from, and every change records who approved it. That is what lets a business, an auditor or a regulator trust the result.
1 · Summary
What was found, what was done and who approved it, in plain English.
2 · Every step
Each action the agent took, in order: what it looked up, what it checked and what it decided.
3 · Evidence
The records, documents, queries and logs behind each conclusion, linked so they can be checked.
Security, reliability and integration
Built for the way enterprises run
Every deployment is governed by Complexica’s ISO 27001:2022 certified information security management system, with human oversight and controls appropriate to each process.
Security
- ISO 27001:2022 certified information security management
- A defined identity and controlled access to secrets for every agent
- Permissions agreed per process, under your policies
- Every run traced and auditable
Reliability
- Every release versioned and evaluated before it goes live
- Agents check their own work, roll back and stop
- Exceptions routed to your people
- Scheduled reviews turn finished work into memory
Integration
- Works with the systems you already run: ERP, CRM, inbox and shared files
- Fits the tools your teams use, such as Slack and ticketing systems
- Runs inside your IT, not beside it
- No need to replace the systems you rely on
Model-agnostic and cost-aware
We work with any frontier model, so you are not tied to one AI provider. We match the model to the task, for example a capable model running every step with a stronger model advising when it is needed, to balance accuracy against running cost.
Discovery Workshop
See how agents could run your processes
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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