AI systems, models and workflow automation
Take a bounded use case from data and process discovery through a tested model or working automation.
Example scope. The proposal confirms deliverables, named personnel, timing and fixed price.
When this fits
Manual handoffs or an AI prototype need a measurable operating workflow and human oversight.
What you receive
- Workflow and integration design
- Working agent, model or automation with an agreed deployment boundary
- Versioned evaluation cases, thresholds and observed failures
- Human escalation, override, monitoring and handover instructions
Synthetic evaluation-method sample / Version 1.0
AI evaluation protocol
- Dataset
- Fictional CivicAnswer corpus and 50-question benchmark
- Decision
- Can the system select an approved source or refuse an unsupported question?
- Acceptance
- Expected source/refusal agreement is assessed against the published cases. Review every failure; do not infer general model quality.
Synthetic evaluation-method sample
Inspect the structure.
Defines a versioned dataset, acceptance threshold and failure handling before a model is released.
Illustrative methods, not a prior client engagement or measured outcome.
Open the inspectable evaluation protocol sample ↗Scope before commitment.
Agree the inputs, acceptance and responsibilities for your project.
Plan the engagement
- Use case, approved data sources and current workflow
- Risk boundaries, owner decisions and a representative evaluation set
- Test cases exercise ordinary inputs, refusals and failure paths
- Actions requiring approval cannot execute before approval
- Source, model, data and deployment responsibilities are documented
- Authorize data use and identify domain reviewers
- Agree failure tolerances, approval points and operating ownership
- A model score is not a business outcome or a compliance certificate
- Inference, telephony, hosting and model licenses are agreed separately
Evidence and examples
Inspect each example's source, relationship and limits.
Delivery sequence
- Confirm the problem, inputs and decision owner.
- Agree scope, acceptance, responsibilities and price.
- Build and review working increments.
- Evaluate, record limitations and complete the agreed handover.