The work in plain language
Paloren develops AI agents that gather context, prepare work and move agreed tasks between systems, with permissions and approvals designed before build starts.
Paloren develops AI agents with workflow design, scoped integrations, permission boundaries, approval gates and required testing. Agents are documented, trained and handed to a named operating owner.
What this can change for your team
- Scoped agent
- Approval gates
- Trained owner
01 / 02AI agents development
What does AI agents development include?
Workflow design, integrations, controls and evaluation.
How we make this work
AI agents development includes more than connecting a model. Paloren defines the workflow, the context sources, the action set, the permission model, the failure behaviour and the review route. Development then builds and tests the agent against representative cases. The release documentation explains what the agent can do, what it cannot do and who accepts consequential actions.
- Workflow and action set
- Permission boundaries
- Required test cases
02 / 02AI agents development
How are agents kept safe?
Minimum access and human approval.
How we make this work
Paloren scopes agent access to the fields and systems required. Consequential actions such as sending refunds, changing records or contacting customers can wait for a named person. The system records what context the agent used and what it proposed, so a reviewer can inspect the basis for an action. Errors are routed rather than hidden. Legal interpretation remains with your advisers, while technical controls are part of the build.
- Minimum access
- Approval gates
- Reviewable evidence
Who is behind Paloren
Paloren is co-founded by Aaron Agius and Alex Agius. Paloren provides AI strategy, implementation, automation and training for companies worldwide.
What you take forward
What you get
Agent brief
Permission contract
Working agent
Test evidence
Training
Operating model
- 01
Define workflow
Name inputs, outputs and approvers.
- 02
Scope access
Set system and field permissions.
- 03
Build and test
Run correctness and failure cases.
- 04
Train and monitor
Prepare owners and support.
| Stage | What it changes |
|---|---|
| Define workflow | Name inputs, outputs and approvers. |
| Scope access | Set system and field permissions. |
| Build and test | Run correctness and failure cases. |
| Train and monitor | Prepare owners and support. |
What should the agent do?
Tell Paloren the workflow, systems and approver.
Reply from the team within one business day. No deck, no technical brief needed.
Before we begin
Questions we get asked, answered with numbers
How is an agent different from automation?
Automation follows fixed steps. An agent reads context and proposes or takes actions within boundaries.
Can an agent write to our CRM?
Yes, with scoped field access and approved write rules.
What happens if a source fails?
The workflow is designed to pause, retry or escalate rather than invent a result.
Who approves actions?
A named business owner or technical owner approves consequential steps.
What should the agent do?