Workflow discovery
Define the decision, users, evidence, rule sources, approval authority and measurable business outcome.
How we engage
Start with one high-value workflow.
Build recurring decision infrastructure.
AIMAILABS is not positioned as open-ended custom development. We use a controlled engagement model to validate the decision problem, compile the knowledge and deploy the workflow on a reusable platform.
Engagement pathway
From buyer problem to governed deployment.
Knowledge compilation
Convert approved procedures, terminology and logic into a testable decision package.
Controlled deployment
Run the workflow with real evidence, human review and agreed acceptance criteria.
Expansion and support
Renew platform access, improve the workflow and add more departments or use cases.
Commercial offers
A practical route to the first paid deployment.
Entry offer
Decision Workflow Readiness Workshop
A short, structured assessment to determine whether a workflow is suitable for compilation and what evidence is needed.
- Problem and buyer definition
- Evidence and rule inventory
- Risk and governance mapping
- Pilot scope and success measures
Validation offer
Controlled Paid Deployment
A limited-scope deployment with real users, real evidence and a clearly bounded operational decision.
- Knowledge package configuration
- Workflow and user setup
- Human review and audit trail
- Measured time, quality and rework outcomes
Core offer
Enterprise Platform Subscription
Recurring use of the AIMAILABS platform with approved knowledge packages, support and controlled expansion.
- Annual or multi-year platform access
- Workflow and module licences
- Updates, training and support
- Optional integration and private deployment
Revenue model
Recurring platform revenue, supported by onboarding and expansion.
Knowledge compilation fee
One-time fee to configure customer rules, data fields, governance and acceptance tests.
Platform subscription
Recurring access to the decision runtime, workflow management and traceability infrastructure.
Additional workflows
New operational use cases are added on the same platform rather than rebuilt as separate software.
Enterprise services
Integration, training, customer success, specialist review and deployment support.
AIMAILABS is at an early commercial-conversion stage. Exact commercial scope and pricing depend on workflow complexity, evidence sources, deployment environment and required governance.
Roles and ownership
The customer keeps the rulebook. AIMAILABS provides the execution platform.
Customer-owned
Operational knowledge and decisions
- Internal procedures and standards
- Company matrices and decision content
- Operational data and evidence
- Approval authority and final business decisions
AIMAILABS-owned
Compiler, runtime and reusable infrastructure
- Platform source code and architecture
- Decision package and evidence schemas
- Ontology, verification and governance tooling
- Runtime, traceability and deployment framework
Frequently asked questions
Commercial and deployment questions.
No. Customer-specific knowledge must be configured, but the core compiler, runtime, governance and traceability platform are reused. The commercial goal is recurring platform revenue, not repeated one-off builds.
No. The system structures evidence, applies approved logic and prepares traceable decision packages. Human authority remains mandatory wherever the rule, risk or organisation requires it.
Yes. The architecture is model-agnostic. Model selection depends on the workflow, data sensitivity, connectivity, cost and accuracy requirements.
Choose one repeated decision with a clear owner, identifiable evidence, a governed rule source and measurable cost of delay or inconsistency.
Commercial starting point
Do not begin with an “AI transformation.”
Begin with one expensive, repeated operational decision and prove the outcome.