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Commissioning AI implementation
AI implementation consultancy
An AI implementation consultancy is the firm you commission to take a chosen AI workflow from plan to daily use.
predeploy scopes each engagement in stages, so you approve the build, the evaluation and the release separately and can stop if the evidence does not support the next step.
Commission implementation in approved stages, with clear responsibilities and a named owner at handover.
NCSC guidance covers design, development, deployment and operation. NCSC: secure AI system development ↗
ICO guidance covers AI accountability, transparency and fairness; the guidance is currently under review. ICO: AI and data protection guidance ↗
New to the topic? Read the background on artificial intelligence.
Commissioning AI implementation
what does an AI implementation consultancy provide?
Scoping, engineering, evaluation, release and handover.
Scoping turns a selected workflow into a plan with acceptance criteria.
Engineering and integration build the workflow and connect it to your systems.
Evaluation and release check it works and put it in front of users in stages.
Handover leaves your team running it; the bundled work is described on AI implementation services.
Scope.
Build and evaluate.
Release and hand over.
Commissioning AI implementation
how is a consultancy different from an individual consultant?
An AI implementation consultancy provides a team and shared accountability, not one person.
An AI implementation consultant is one person embedded with your task owner.
A consultancy adds engineering capacity, evaluation and project management around that person.
Choose a consultancy when the work needs several skills at once.
Commissioning AI implementation
how should the contract be structured?
Structure an AI implementation consultancy contract in stages with acceptance criteria and stop points.
Each stage should have its own deliverable, acceptance criteria and approval.
Stop points let you end the work if an assumption fails, without paying for later stages.
AI consulting costs explains how stage scope affects price.
| Check | What to establish |
|---|---|
| 1 | Stage deliverables. |
| 2 | Acceptance criteria. |
| 3 | Stop points. |
Commissioning AI implementation
what security and data checks are included?
An AI implementation consultancy should include security and data protection review at design and before release.
Your security owner should review the design against the NCSC guidelines for secure AI system development.
Data protection questions should be answered before build, using the ICO guidance on AI and data protection.
The consultancy should record what was checked and by whom.
Commissioning AI implementation
how do we choose an AI implementation consultancy?
By evidence of release, not only of prototypes.
Many firms can show prototypes; fewer can show workflows released and still running.
Ask for examples of handover documentation and how the client operated the system afterwards.
For the advisory framing of the same work, see AI implementation consulting, or contact predeploy.
Released, not just prototyped.
Handover examples.
Client-run systems.
Commissioning AI implementation
what does the first stage of an implementation consultancy engagement involve?
The first stage of an AI implementation consultancy engagement confirms the workflow, owner and acceptance criteria.
The first stage confirms which workflow is in scope and who owns it.
It records how the task is done today, so later results can be compared with a baseline.
It agrees the acceptance criteria the build must meet before release.
Confirm scope.
Record the baseline.
Agree acceptance criteria.
Make the decision concrete
What does the current task cost in time?
Choose a task connected to ai implementation consultancy and enter its current workload. This gives you a baseline to discuss before buying training or commissioning a build.
A baseline is useful even if you decide to keep the process manual. Measure the work that matters, then compare quality and review effort as well as time.
Assess the workflow before changing it, or plan business AI training if the gap is how people use existing tools.
Your current workload
Estimate how much time the existing task takes before discussing ai implementation consultancy.
16 hours per week
People × minutes × weekly tasks ÷ 60. A workload baseline from your inputs, not a prediction of AI time savings. Include review and support time when comparing a proposed workflow.
A useful AI investment leaves your team able to do the work and judge the result.
Continue with the right question
Where should you go next?
Use the overview for context, then follow the pages that match your delivery decision.
See our ai consultancy service or read the ai implementation consulting overview.
FAQ
Questions, answered
Evidence and further reading
Which sources support the guidance?
Source links support the specific background described here. The practical checklists and illustrative examples are predeploy’s guidance.
NCSC guidance covers design, development, deployment and operation. NCSC: secure AI system development ↗
ICO guidance covers AI accountability, transparency and fairness; the guidance is currently under review. ICO: AI and data protection guidance ↗
Background reading on the broader field of artificial intelligence. Wikipedia: artificial intelligence ↗
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