AI Agent Management Platform (AMP)
The AI Agent Management Platform (AMP)
LoomWerk is the AI Agent Management Platform (AMP): run an AI company inside your company. Describe an operation in natural language and it writes the playbook, staffs AI roles, and runs the work on your server. Management sets the rules; AI staff work within them.
Management sets the rules; AI staff work within them. The AI Agent Management Platform (AMP): a management layer, not direct AI agent coordination.
The five worries
What every buyer asks first
What did it actually do?
At most 3 correction rounds, then human escalation with the full history attached.
Is it guessing?
outputs report their confidence, and execution is blocked when confidence is too low or information is missing
Where do people fit?
Management sets the rules; AI staff work within them.
Where does our data go?
Your data stays on your server. Cloud mode sends only the AI calls you configure; on-premises mode sends nothing. Keys are stored in an encrypted vault and appear masked on screen. We can walk your IT lead through the setup any time.
How is it set up?
LoomWerk writes and staffs whole processes from a description.
How it works
From one sentence to running work
Management sets the rules; AI staff work within them.
1. Describe
Say what should happen
You describe the operation in natural language.
Describe
Chase overdue invoices, and hand disputes to a person.
2. Playbook
Get a playbook you own
LoomWerk writes the playbook: readable steps your team owns and can edit.
Playbook
- 1Find open invoices past due
- 2Send the first reminder from the template
- 3Wait seven days, then remind again
- 4Dispute raised: hand to a person with the history
3. Staff
Staff the roles
It staffs AI roles, each with a job description and rules.
Staff
Invoicing assistant
Reminders and reconciliation
Onboarding coordinator
Documents and checks
Compliance reporter
Monthly reports
Client updates
Approved template only
4. Run
Work runs on your server
Work runs through your existing tools on your server. People set the limits and approvals.
Run
- doneReminder sent
- donePayment matched
- runningReconciliation
- paused, askingDispute on invoice 4
5. Check
Unsure work stops and asks
Outputs report their confidence, and execution is blocked when confidence is too low or information is missing. Unsure means stop, not bluff.
Check
Confidence on this step
Paused Too low. Asking a person before it runs.
6. Escalate
Hard decisions reach a person
At most 3 correction rounds, then human escalation with the full history attached. Escalation alerts by email or webhook the moment they happen.
A webhook is an automatic message to your other systems.
Escalate
Dispute on invoice 4
Three correction rounds used. Handed to a person with the full history attached.
7. Report
Everything is logged
Escalations carry the full decision history, and the platform keeps a system activity log.
Report
- 09:02Playbook started
- 09:04Reminder sent
- 09:15Confidence too low; paused
- 09:20Escalated with history
The engine
It checks before it acts
Proprietary algorithm leveraging MoE with confidence scoring to verify truth.
Before LoomWerk's engine acts, three internal roles, strategy, structure, logic, have to agree. Anything below the certainty bar pauses and asks instead of guessing.
Unsure means stop, not bluff.
Two phases. Reduce, then finish.
QTT™ takes its cue from the two-phase method that solves a Rubik's cube: reduce first, then finish with certainty.
Illustrative, not a product screenshot
Built-in checks
Why you can hand work over
The No Yes-Man Rule
Outputs report their confidence, and execution is blocked when confidence is too low or information is missing. Unsure means stop, not bluff.
Risk scoring
Every planned output risk-scored 0–1; low passes, medium passes with warnings, high is corrected and retried.
Escalation
At most 3 correction rounds, then human escalation with the full history attached.
Alerts and the record
Escalation alerts by email or webhook the moment they happen. Escalations carry the full decision history, and the platform keeps a system activity log.
We don't promise zero mistakes. Nobody honestly can. We promise every output is checked before it runs, unusual cases stop and escalate instead of running blind, and the hard calls reach a person with the full history attached.
Who it is for
Three people in every client
Owner or GM (general manager) (general manager)
Routine operations run themselves; your team handles the exceptions. You manage, your AI staff execute.
Compliance or Finance
Escalations you can audit with the full history.
IT or Ops
A system you can actually run: a small server, your choice of AI, keys in an encrypted vault.
Built for the operation, not the industry. The same playbooks, gates and escalation paths run back-office work wherever a team can describe it.
Designed to support audit and data-residency requirements.
How to start
Start with a pilot. Decide on evidence.
The pilot is the offer, and pilot clients get a direct say in the roadmap. One workflow, full logs, then your decision.
- 1
Scoping call
- 2
Trial install on the client's hardware
- 3
First-week log review together
- 4
Decision, then a licence scoped to what runs
Honest answer: Southmead is pilot-first, and the pilot is the offer. You start with one workflow on your own hardware with full logs, and pilot clients get a direct say in the roadmap. Our internal end-to-end test passed checks.
Mission
Shaping how businesses harness AI to compete & grow, with a current focus on Southeast Asia & Hong Kong