AI project delivery
You own the client.
We add the delivery.
AI project delivery for agencies and businesses with a defined workflow to implement. Turn a client brief into a scoped build, a reviewable result and a handover you can use.
From brief to handover
Define the work.
Make it reviewable.
Start with one workflow and a person who can judge the output. Expand only after the next scope is agreed.
Define the job and the decision owner
Identify the users, inputs, intended output and the human decision point. Confirm which systems are involved, what access is available and what a usable result would look like.
Build within an agreed boundary
A project may cover an AI-assisted workflow, a focused interface or an integration with agreed systems. Review a bounded version against representative examples before making deployment or expansion decisions.
Test, document and hand over
Agree acceptance checks for normal inputs, incomplete information and failure conditions. The handover scope can include the agreed source files, configuration guidance, known limits and operating instructions.
What to send
The workflow,
before the technology.
A clear description of the current work is more useful than a long feature list.
- Task & users
- What happens today, who performs it and where the work slows down. Name the person who will review the output.
- Inputs & outputs
- Representative, non-sensitive examples and the result you need: a structured brief, a draft, a classification or another defined output.
- Systems & access
- The existing website, tools or data sources involved; available interfaces and who can authorise access. Do not send passwords or credentials in the initial brief.
- Acceptance criteria
- What must be checked before the owner accepts the work, including when the workflow must stop or ask a person.
- Delivery relationship
- Direct delivery or work under an agency’s brand; client communication, hosting, ownership and ongoing support expectations.
Scope & responsibility
A project you
can accept and operate.
A delivery scope may include
A written workflow specification, an agreed implementation, test examples and a handover record. Which source files, deployment guidance and documentation are included is agreed before the work starts.
For white-label AI development, the agency retains its client relationship. Branding, communication roles, confidentiality and intellectual property terms are defined in writing for the engagement.
Production needs its own agreement
Access permissions, data handling, hosting, third-party model or service costs, deployment approval and ongoing maintenance must be assigned explicitly. A working prototype is a review stage, not production acceptance.
AI outputs need checks appropriate to the task. Business decisions, approvals and actions outside the agreed workflow remain with the responsible person.
A project scope does not imply unrestricted system access, continuous support, guaranteed AI accuracy or a commercial result. Fees and timing follow the agreed requirement.
Illustrative workflow · not a customer case
Turn scattered enquiries into a brief for human review.
Imagine an agency client receives project enquiries with missing details. A bounded implementation could organise those inputs and flag gaps, while leaving the reply and commercial decision to a person.
- Input
- A visitor’s written project description and fields the visitor chooses to provide.
- Proposed output
- A structured summary of the need, constraints and missing information. Unknowns stay marked as unknown rather than being invented.
- Illustrative acceptance checks
- A complete enquiry produces the expected fields. An incomplete enquiry flags missing information. A processing failure shows a clear fallback. No automated quote or commitment is sent.
- Human decision
- The owner checks the brief and decides whether and how to respond. Any automated sending or connection to a customer system would require a separate agreed scope.
This example describes a possible project boundary. It is not evidence of a deployed customer system, measured accuracy or sales results.
Common questions
Before the
build starts.
Can the work be delivered under our agency’s brand?
White-label delivery can be discussed as part of the engagement. Client communication, visible branding, confidentiality, source ownership and handover responsibilities need written agreement before work starts.
Do we need to replace our existing systems?
Not necessarily. Begin by identifying the workflow and the systems involved. Whether an existing tool can be used or connected depends on its interfaces, permissions and the agreed technical scope.
What makes a prototype different from a production delivery?
A prototype supports review of a bounded idea. Production also requires decisions about permissions, data handling, hosting, failure handling, monitoring and maintenance, with acceptance checks appropriate to the intended use.
What will we receive at handover?
The agreed deliverables. These may include source files, configuration guidance, operating instructions, test examples and known limits. Ownership, hosting and any ongoing support are specified in the written scope.
How are fees and timing decided?
After reviewing the workflow, dependencies and acceptance criteria. A written scope sets the deliverables and commercial terms. This page does not promise a fixed price, delivery date or business outcome.
Start in writing
Share the brief.
Define the next step.
Send a short outline and the questions you need answered. We can clarify fit and scope in writing. No call required.
The homepage prepares an email draft. You review it and send it from your own email app.