Do we need a multi-agent system?
Not necessarily. A deterministic workflow or single model-assisted process is often simpler and more reliable. Architecture follows the actual steps and risks.
Service 03 / Agents & automation
Reduce repetitive work without losing visibility or control.
A 5–8 week pilot that turns one repetitive, multi-step workflow into a reviewable AI-assisted process with validation, approval, exception handling and an audit trail.
Engagement at a glance
- Best for
- Repetitive workflows crossing tools or systems
- Typical format
- One workflow pilot · 5–8 weeks
- Primary outcome
- A reviewable AI-assisted process
- Starting point
- A workflow owner, examples and known exceptions
01 / DETAIL
The business problem
Many workflows require people to gather information, apply rules, draft outputs, move between systems and escalate exceptions. The repeated coordination consumes time even when the underlying decisions are well understood.
02 / DETAIL
Suitable workflows
The strongest candidates have a clear owner, representative examples and outputs that a person can review.
- Research and recurring reporting
- Document intake and classification
- Meeting follow-up and action processing
- Support triage and response preparation
- Product or operational document generation
- Controlled system or browser actions
- Internal approval workflows
03 / DETAIL
The control model
The workflow must know when it can continue, when it needs more information and when a person must approve or correct an action. Technically, this can combine bounded tools, structured outputs, state-based orchestration, validation, explicit exceptions, audit events and reversible actions where possible.
04 / DETAIL
Pilot scope
The pilot implements one clearly defined process and tests normal work, exceptions and human decisions.
- One clearly defined workflow
- Current-state and future-state maps
- Agent or deterministic state-machine architecture
- Up to three integrations
- Structured outputs and validation
- Human approval
- Exception and fallback handling
- Audit trail
- Evaluation scenarios
- Cost and performance view
- Controlled deployment and operating guide
05 / DETAIL
Client participation
Reliable workflow automation depends on operational knowledge that is rarely captured completely in existing documentation.
- Accountable workflow owner
- Access to representative examples
- Documentation of exceptions and decision rules
- Access to relevant systems or safe test environments
- Reviewers for output and approval behaviour
06 / DETAIL
Success measures
The pilot measures whether the workflow completes useful work while keeping intervention and exceptions visible.
- Workflow completion rate
- Output acceptance
- Human intervention rate
- Exception rate
- Time saved
- Cost per completed run
- Approval and override frequency
07 / DETAIL
Timeline
A typical pilot takes 5–8 weeks. Integration access, exception complexity and reviewer availability determine the final schedule.
08 / DETAIL
Hard boundaries
Norrelium does not implement unsupervised high-impact decisions, irreversible actions or vague “replace the team” objectives. The workflow must have a responsible owner, reviewable outcomes and a safe failure path.
09 / DETAIL
Frequently asked questions
Common architecture and operating questions.
Can a person approve actions before execution?
Yes. Approval can be required before selected actions, with the proposed action and supporting context shown to the reviewer.
What happens when the model is uncertain?
The workflow can request more information, route to a person, use a defined fallback or stop without taking action.
What happens after the pilot?
The results support a decision to expand, revise or stop. A follow-on phase can harden integrations, operating controls and deployment for wider use.
Next step
Is this the right engagement?
Share the current situation, desired result and constraints. Norrelium will confirm whether this engagement is the right starting point.