Workflow design
We define the process, inputs, outputs, dependencies, checkpoints, and success criteria before implementation begins.
Service Detail
AI Workflow Build
A hands-on implementation service that takes a defined workflow from concept into practical operation. We design, build, test, refine, and support the rollout so the workflow works in real conditions, not just on paper, whether that means automation, reporting, CRM integration, internal GPTs, document workflows, or a custom internal tool.
- 6+ weeks
- Design through handover
- Live operational workflow
Investment
£5,000+
What this service delivers
This is for businesses that are ready to move from planning into delivery. The aim is not to build a technical demo. It is to create a working AI-enabled process that fits your business and creates measurable operational value.
Implementation and testing
The workflow is built, trialled in context, and refined based on how it performs in practice.
Handover and support
Your team gets a workflow they can actually operate, with support through the transition rather than a dropped-off solution.
What is included
Delivery scope
- Workflow design and implementation planning
- Build of the agreed AI-enabled workflow, using the right mix of automation, tooling, and custom implementation
- Testing, iteration, and optimisation against the agreed outcomes
Operational outcomes
- Live workflow in operation
- Team handover and practical support
- Measured improvements in time, consistency, or visibility where relevant
Frequently asked questions
Do we need an Opportunity Review or Intelligence Report first?
Often yes, because they help define the right workflow and reduce delivery risk. If the workflow is already clearly defined and the business is genuinely ready, we can discuss moving more directly into build.
What kind of workflows can this cover?
That depends on the business, but it can include Zapier or Make automations, custom internal apps, internal GPTs, CRM integrations, reporting workflows, document workflows, and other process-heavy operational handoffs where time, consistency, or visibility matter.
Do you work inside tools like Microsoft 365, Google Workspace, HubSpot, Airtable, Notion, or Slack?
Yes. We can work with all of those. Microsoft environments can be a little more demanding depending on the setup, but they are still workable when the use case is right.
How do you handle client data, confidentiality, and model choice?
When client data is involved, we use regionally locked infrastructure through APIs, typically via OpenAI directly or AWS Bedrock depending on the model and governance requirement. Tool and model selection are driven by the delivery need, data sensitivity, and operating context rather than a one-size-fits-all stack.
Will our team be involved?
Yes. The best builds are collaborative enough to fit the real operating environment, while still keeping delivery practical and focused.
What happens after go-live?
There is a handover and support element built in so the workflow can settle into day-to-day operation rather than being treated as a one-off launch moment.
Have a broader question about working with Nucleus? View all FAQs.