AI Workflows & Integrations.

AI Workflows & Integrations

Connect the tools you already use and reduce the work between them.

I design focused workflows that move information between tools, trigger useful actions and bring AI into existing processes where it can genuinely save time.

Tell me what you are doing manually
The hidden workload

A lot of business admin is just information being moved from one place to another.

Copying form answers into a spreadsheet. Creating the same follow-up email. Moving client details between tools. Repeating the same prompts.

None of those tasks is especially complicated. The problem is that together they create constant friction and steal attention from the work that actually needs judgement.

What a workflow can do

Connect the routine steps and keep the decisions that need you.

01

Move data between tools

Pass form submissions, client details, project information or other structured data into the next system automatically.

02

Trigger follow-up actions

Send notifications, create records, update statuses or begin the next step when something changes.

03

Add AI processing

Use AI to summarize, classify, draft, extract or structure information inside a defined workflow.

04

Generate documents

Turn structured information into reports, quotes, summaries or PDFs without rebuilding the document manually each time.

05

Keep systems updated

Reduce duplicate entry by sending changes to the places where the same information needs to exist.

06

Create internal workflows

Build a repeatable sequence around a real business process instead of relying on memory and scattered checklists.

A simple example

One client enquiry can trigger more than one useful action.

01 Form submitted

A potential client sends project information.

02 Data structured

The important details are cleaned and stored.

03 AI prepares summary

The request is turned into a concise project brief.

04 Next step created

A client record, notification or follow-up action is generated.

Where AI fits

AI works best inside a clear process, not floating around as another tool.

The useful question is not “Where can we add AI?” It is “Which step currently takes time because someone has to read, interpret, rewrite or organize information?”

01 Summarize

Turn long input into a short usable overview.

02 Classify

Sort enquiries, content or records into useful categories.

03 Extract

Pull structured information from longer text.

04 Draft

Prepare a first version of an email, report or response.

05 Transform

Turn one piece of information into another usable format.

Practical use cases

The strongest workflows usually begin with something repetitive.

Client work

Enquiry → project intake

Capture client information, structure it and create the next project step without copying everything manually.

Content

Research → content assets

Move research into a repeatable process for summaries, ideas, drafts or publishing preparation.

Reporting

Data → structured report

Turn information collected through a form or application into a consistent report or PDF.

Operations

Status change → follow-up

Trigger the right notification, record update or task when a project reaches a new stage.

Built into real applications

Workflows are often most useful when they disappear into the product.

In the Quote & Client Portal, the useful workflow is not a separate automation screen. Client details, scope, pricing, quote generation, acceptance, staged payments and project progress connect as one process.

The same principle applies to AI applications: the AI is part of the flow, not the whole product.

Explore the Quote & Client Portal
Client Intake
Project Scope
Quote PDF
Client Accepts
Project Progress
Depending on the project

Workflows can connect applications, APIs and services.

The exact tools are chosen around the process rather than forcing the process around a particular automation platform.

Forms Databases Supabase OpenAI Claude Stripe Email Webhooks APIs WordPress Client portals PDF generation Notifications CRM connections Automation platforms
Keep it understandable

An automation should reduce complexity, not hide more of it.

Automate repetition Leave judgement and important decisions visible.
Keep the flow traceable It should be possible to understand where information came from and where it went.
Build around failure points Think about what happens when an API, payment or AI response does not behave as expected.
Start with one useful workflow Prove the process before connecting everything in the business.
A good fit

You can point to a process and say: “I keep doing these same steps.”

You repeatedly copy information between systems.
The same event usually requires the same follow-up actions.
You use AI manually for the same kind of task over and over.
A workflow depends too much on someone remembering the next step.
You want to connect a useful first process before attempting full automation.
Focused integration projects

Start with the workflow that creates the most unnecessary work.

We map what happens now, identify which steps can safely be connected or assisted and define a first workflow that is useful enough to test.

Map the current process We need to understand the manual version before automating it.
Define the useful trigger We decide what starts the workflow and what a successful result looks like.
Test before expanding Once the first connection works reliably, additional steps can be added.
Find the repetitive part first

You do not need an automation strategy before we can improve one frustrating workflow.

Tell me what happens now, which tools are involved and which steps you wish would simply take care of themselves.

Discuss your workflow