Intelligent workflows
From interpretation
to an accountable action.
Combine model output with business rules, application state and human review. Make the next step, its owner and its failure behavior part of the design.
Design pattern / Proposed project scope
The system
around the capability.
Discovery turns this pattern into a specification for your systems, users and operating constraints. It is not a claim of a completed deployment.
- Input
A document, event or user request
- Interpret
Extract or classify relevant information
- Control
Apply rules, permissions and review
- Complete
Record the outcome or recover a failed step
Illustrative commission
Document intake with review before a system update.
An incoming document contains information staff need to enter into an existing system. Scope extraction, validation, a reviewer’s correction and an approved update, with a visible status for failed or repeated steps.
- Workflow design
- States, owners, permitted transitions and the steps that remain manual.
- Implementation
- An agreed intake path, validation rules, review interface and destination update.
- Evaluation
- Missing fields, duplicates, interrupted actions, review decisions and recovery.
- Handover
- Workflow code, acceptance results, operating notes and the agreed support boundary.
Example scope to assess and tailor. Deliverables, fees, dependencies and acceptance criteria are agreed before implementation.
What supports this work
Experience to inspect.
New work to evaluate.
IMFIT provides evidence for stale-response checks and staff-takeover controls. The document-intake example is a proposed client scope, not an existing IMFIT feature or a completed client project.
Inspect the IMFIT case studySee how we scope and deliverScoped AI engineering
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