Approach

A delivery process designed to reach adoption

Every stage ends with a usable decision or deliverable. Scope can stop when the evidence says a project should not proceed.

Six accountable stages

Assess, prioritize, prototype, deploy, train, improve

  1. 1

    Assess

    Workflow map, stakeholder needs, systems, information and constraints.

  2. 2

    Prioritize

    Ranked use case, success measures, risk and architecture options.

  3. 3

    Prototype

    A bounded system tested against representative work and exceptions.

  4. 4

    Deploy

    Integrated production environment, controls, monitoring and runbook.

  5. 5

    Train

    Role-based user guidance and administrator documentation.

  6. 6

    Improve

    Operational review, measured issues and prioritized enhancements.

Evidence before expansion

Decision gates

GateEvidenceDecision
AssessmentValue, ownership, information and feasibilityStop, prepare, configure or prototype
PrototypeEvaluation, user feedback and integration findingsRevise, stop or design production
DeploymentControls, recovery, documentation and support ownershipDelay, limit or release
AdoptionUsage, exceptions and operating resultImprove, expand, maintain or retire

Collaborative delivery

Who participates

Workflow owner

Defines the operating result and accountable decisions.

Representative users

Explain exceptions and validate the working experience.

Technical owner

Confirms systems, identity, deployment and support constraints.

LocAIly

Connects discovery, architecture, implementation, training and operation.

How choices are made

Decision principles

  • Start with the workflow, not the model
  • Use deterministic automation where AI is unnecessary
  • Assess existing hardware and systems first
  • Preserve human review for consequential decisions
  • Document data flows, ownership and failure handling
  • Retain cloud capability where it remains the best fit
  • Stop when evidence does not support implementation

No black-box handoff

Maintainable deliverables

  • Workflow and architecture diagrams
  • Integration and permission decisions
  • Evaluation findings and unresolved risks
  • Deployment and recovery runbooks
  • User and administrator documentation
  • Training for approved workflows
  • Support ownership and escalation
  • Prioritized improvement plan

FAQ

Questions about the process

Do we have to continue after an assessment?

No. The evidence may support a prototype, preparatory work, improving an existing system or no project.

Can another team use the deliverables?

Yes. LocAIly can implement the recommendation or provide documentation for another qualified team.

How is scope controlled?

Each stage has a defined question, deliverable and decision about whether to continue.

A practical first step

Find the first AI or digital workflow worth improving.

Bring one expensive, repetitive, fragmented or sensitive workflow. We will help determine whether it should be automated, integrated, rebuilt, moved into a private environment or left alone.

Book an AI opportunity assessment
  • Initial workflow discussion
  • Architecture considerations
  • Practical first-step recommendation
  • No obligation to replace the whole stack

AI opportunity assessment

Choose a time to discuss one workflow.

The first meeting covers your current workflow, information, systems, constraints and a practical next action. Do not enter confidential or sensitive information.

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