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AI implementation

Build an AI workflow you can operate.

Move a defined AI use case toward real use, with data access, tool permissions, evaluation and operating controls built into the work.

Scope

Scope follows the workflow.

We begin with the task, the users, the available data and the actions the system may take. That sets the boundary for the implementation and the tests it needs to pass.

A project may include retrieval over approved material, model or API integration, constrained tool access, application changes, evaluation, logging and human review points. We agree the supported environment, integrations and access before kickoff.

Deliverables

What you receive.

  1. The implementation agreed in the statement of work.

  2. Documentation of the important data flows, permissions, assumptions and controls.

  3. Evaluation and test results against the agreed acceptance criteria.

  4. Deployment or operating notes, known limitations and a handover session.

Before we begin

Describe the task and its constraints.

Start with the intended task, the current prototype or architecture, relevant integrations, data classes, access constraints and target timeline. Explain who will use the workflow and who will operate it.

A high-level summary is enough for the initial discussion. Access, sensitive material and any production changes are arranged through the engagement process.

Scoped after an initial discussion

Scope, fees, milestones, acceptance criteria and handover are agreed before kickoff. Ongoing operation or maintenance is included only when explicitly agreed.

Boundaries

Defined controls and clear review boundaries.

Evaluation covers the agreed workflow and risks. It cannot establish that an implementation is free of every vulnerability or will behave correctly under every future model, data or configuration change.

If TKOResearch builds the system, our later checks are verification or retesting. We disclose that relationship. Where an independent assessment is required, the reviewer must be separate from the implementation work.

Training a new foundation model, migrating an entire organization and operating a managed service are outside this offer unless separately scoped. No vendor or integration is assumed to be supported before we review the requirements.

Questions

Before you commission the work.

Can you work with an existing prototype?

Yes. We first review whether its architecture, integrations and constraints suit the intended use. That may identify work needed before implementation can proceed.

Do you choose the model or platform?

Model and platform selection can be part of the scope. The choice depends on the task, data requirements, operating environment and constraints.

Is this a fixed-price package?

Implementation projects are scoped individually. Fees follow the agreed work; the existing assessment package prices do not apply to implementation.

What if we need an assessment first?

Start with the system boundary and the decision you need to make. A focused assessment can establish the risks and requirements before committing to engineering changes.

Compare assessment options

Next step

Start with the workflow you want to put into use.

Describe its users, the systems it needs to reach and the constraints we should understand before scoping the work.

Discuss an implementation