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AI implementation partner
AI implementation agency
An AI implementation agency, or implementation partner, builds and releases AI workflows for an organisation that does not want to staff the work itself.
predeploy works as an implementation partner that hands the running workflow to your team, rather than keeping you dependent on the agency.
Know what an implementation agency should deliver and how to keep ownership of what it builds.
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 implementation partner
what does an AI implementation agency do?
It builds, tests and releases AI workflows for you.
An implementation agency turns a chosen workflow into a working system connected to your tools.
It should also test the system and support its release to users.
The scope of that work is described on AI implementation services.
Build.
Test.
Release.
AI implementation partner
how is an implementation agency different from an automation agency?
An AI implementation agency adds evaluation and ownership to the tool-connecting work of an automation agency.
An AI automation agency typically connects applications and automates steps between them.
Implementation adds evaluation of AI outputs, staged release and handover to an internal owner.
Many projects need both, so ask which an agency actually provides.
A good agency is open about which parts of the work it subcontracts and who is accountable for each part.
AI implementation partner
how do we keep ownership of what the agency builds?
Keep ownership of what an AI implementation agency builds by agreeing access, documentation and handover in the contract.
Make sure accounts, code and configuration are held in your systems, not the agency's.
Require documentation and an evaluation set your team can rerun.
Name an internal owner who accepts the handover.
| Check | What to establish |
|---|---|
| 1 | Your accounts. |
| 2 | Documentation and evaluation. |
| 3 | Named owner. |
AI implementation partner
what security checks should an agency follow?
An AI implementation agency should follow secure design and data protection from the start.
Ask how the agency follows the NCSC guidelines for secure AI system development.
Ask how personal data is handled under the ICO guidance on AI and data protection.
Your security owner should review the design before build.
AI implementation partner
how do we choose an AI implementation partner?
Choose an AI implementation agency or partner by its released work and clean handovers.
Ask for examples of systems still running after handover, with client details removed.
Be cautious of fixed savings promised before discovery.
For a consultancy-led engagement, see AI implementation consultancy, or contact predeploy.
Released work.
Clean handovers.
No early savings promises.
AI implementation partner
what should an implementation agency's proposal include?
An AI implementation agency proposal should cover scope, acceptance criteria, ownership and handover.
The proposal should say exactly which workflow will be built and which systems it will touch.
It should set acceptance criteria that the build must meet before release.
It should state who owns accounts, code and configuration.
It should describe the handover and any support afterwards; AI consulting costs explains how scope affects price.
Clear scope.
Acceptance criteria.
Ownership and handover.
Make the decision concrete
What does the current task cost in time?
Choose a task connected to ai implementation agency 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 agency.
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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