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AI delivery services
AI implementation services
AI implementation services are the delivery work that turns a chosen AI use case into a workflow your people use every day.
predeploy scopes that work as one engagement covering process review, engineering, integration with your systems, evaluation, staged release and handover, with each stage ending in a decision your owners approve.
Get a scoped delivery plan for one workflow, with acceptance checks, release stages and a handover to a named owner.
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.
AI delivery services
what do AI implementation services include?
Process review, build, integration, evaluation, release and handover.
Process review establishes how the task works today and what good looks like.
Build and integration produce the workflow and connect it to the data and systems it needs.
Evaluation checks outputs against agreed criteria.
Release puts it in front of users in stages.
Handover leaves your team running it.
Each stage has its own evidence: a recorded baseline, a working build, an evaluation result, a release decision and a signed handover.
For the individual who leads that work, see AI implementation consultant; for the advisory engagement around it, AI implementation consulting.
Review the current process.
Build, integrate and evaluate.
Release in stages and hand over.
AI delivery services
how are implementation services different from integration services?
Integration is one part of implementation, focused on connecting systems.
AI integration services cover data access, permissions and handoffs between systems.
Implementation services include that work but also evaluation, release, training and ownership.
If your systems are already connected and you need the release done, AI deployment services are narrower still.
Scoping the right service avoids paying for stages you do not need or missing ones you do.
AI delivery services
what do you need from us?
A selected workflow, an owner, reviewer time and access to the systems involved.
The task owner explains the work and accepts the result.
Reviewers check early outputs.
A technical contact provides access and approves changes to your systems.
Your security owner reviews the design against your policies.
The NCSC secure AI development guidelines and the ICO AI and data protection guidance are practical references for those reviews.
If those people are not yet identified, an AI readiness consultant can help before implementation is scoped.
| Check | What to establish |
|---|---|
| 1 | Name the task owner. |
| 2 | Allocate reviewer time. |
| 3 | Provide system and security contacts. |
AI delivery services
how is the work priced and scheduled?
After discovery, against the stages the workflow actually needs.
Cost and timing depend on the workflow, the systems involved and the checks required; predeploy does not quote a fixed price or timeline before understanding them.
AI consulting costs explains the factors that drive scope.
A staged plan lets you approve each stage on its evidence and stop if an assumption fails, rather than committing to the whole engagement up front.
An AI implementation roadmap shows how stages are usually sequenced.
AI delivery services
what happens after handover?
Your owner runs the workflow, with monitoring and a route back for support.
The handover includes the runbook, the evaluation set, the access list and the monitoring signals to watch.
Your owner should be able to rerun checks, review issues and decide on changes.
Where the people using the workflow need preparation, AI training for employees can be scoped around the deployed task rather than generic tool features.
To scope a workflow, contact predeploy with a short description of the task and the systems it touches.
Owner reruns checks.
Monitoring signals documented.
Training built on the real workflow.
Make the decision concrete
What does the current task cost in time?
Choose a task connected to ai implementation services 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 services.
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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AI implementation consulting
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