Technology and infrastructure
Assisted systems you can audit
Operloom designs artificial intelligence systems around a defined business process: the model calls only approved tools, the result is checked, and the decision path is recorded.
OPERLOOM / The system in motion
AI moves through a system you can govern.
Sources, access and human review form a visible control layer around the application.
The application retrieves only the sources its user may access.
Grounding, evaluation and cost controls surround the model call.
A reviewer checks the output before an external action is released.
01Business problems
The demo is not the hard part
Assisted systems fail in production for operational reasons: unclear scope, no evaluation, no fallback and no record of what was decided.
- No agreed definition of a correct output
- Model given broader data access than the task needs
- No human step before a consequential action
- Quality unmeasured after launch
- Cost and latency discovered in production
02Implementation scope
From process map to production
The process is modelled first: the decisions, the inputs, the exceptions and the permissions, before any prompt is written.
- 01Process and decision mapping
- 02Tool and data access design
- 03Retrieval and grounding strategy
- 04Confidence thresholds and human review steps
- 05Evaluation set and quality measurement
- 06Logging, cost control and monitoring
OPERLOOM / WORKFLOW
From signal to action, a traceable handoff.
- 01Approved knowledge sourcesRetrieve with permission✓
- 02Role-based permissionsEvaluate the response✓
- 03Human review and auditApprove and record✓
03Suitable use cases
Where this holds up
The best candidates are high-volume, well-defined tasks where a human check is cheap and the correct answer is recognisable.
- Document extraction and classification
- Enquiry triage and routing
- Drafting against a defined template
- Data normalisation and enrichment
- Internal search and retrieval over owned content
04Governance
Accountability for automated decisions
Anything that affects a customer or a record needs an owner, an audit trail and a way to reverse it.
- 01Data boundaries and retention agreed in writing
- 02Full trace of inputs, tools called and outputs
- 03Human approval on consequential actions
- 04Regular review of the evaluation set
- 05Documented rollback and disable path
OPERLOOM / STACK
The tools, connected by a process.
Retrieve with permission↗Evaluate the response↗Approve and record↗Common questions
Question: How is quality measured?
With an evaluation set built from real cases and an agreed definition of a correct output, scored before launch and re-scored on a cadence afterwards.
Question: Where does our data go?
Data boundaries are agreed in writing before the build, including which provider processes what, what is retained and for how long. Anything outside that boundary is not sent.
Related capability
Where this connects
Next step
Build a systemyour team can actually run
Start with the process as it works today, the platforms already in play and the outcome the organisation needs. We will tell you what we would change and in what order.