Less repetitive manual work
Reduce avoidable copying, checking, formatting and hand-offs around the tasks your team repeats.
04 / service
AI automation built around the way your business actually works.
Practical automation for repetitive digital work, connected systems and human-approved workflows, using AI where it adds value and conventional automation where it is the better tool.
01 / the opportunity
Automate the work that keeps getting repeated.
AI automation should start with a real workflow, not a vague promise about the future. Website-Me helps identify repetitive digital work, map the systems involved and build a route that is easier to run and improve.
That may involve conventional automation, APIs, business rules, databases, SaaS tools and AI or LLM processing. The useful combination depends on the task: predictable work can stay deterministic, while AI can help where judgement, classification, generation or interpretation adds value.
02 / outcomes
Useful work should change what people can do.
These are the outcomes the service is designed to support. Specific evidence belongs in the proof section below.
Better-connected systems
Move useful information between websites, forms, CRM systems, spreadsheets, APIs, email, analytics platforms, databases, CMS or ecommerce tools where the connection is worthwhile.
More consistent workflows
Make research, content, data and reporting processes easier to follow, monitor and improve.
Clearer human control
Keep important decisions, sensitive information and publishing steps visible to the people responsible for them.
03 / capabilities
The work, made practical.
A flexible scope lets the right combination of strategy, content, design and technical work respond to the problem.
- 01
Content and marketing workflows
Support research, briefs, drafts, metadata, QA, structured content and approval routes without removing editorial judgement.
- 02
SEO and GEO workflows
Collect inputs, support audits, organise keyword and search-intent research, monitor opportunities, prepare reporting and keep structured data and meaning in view.
- 03
Business processes
Connect forms and enquiries to lead routing, CRM updates, email, documents, extraction and classification where the process is clear.
- 04
Reporting and data
Collect data through available APIs, prepare dashboards and scheduled reports, raise alerts, clean information and transform it between useful formats.
- 05
Internal tools
Build focused dashboards, approval systems, searchable knowledge tools and AI-assisted interfaces around the way a team already works.
- 06
Workflow mapping
Define the trigger, decisions, data, owners and desired outcome before choosing tools or implementation details.
- 07
Rules, APIs and connected services
Use deterministic automation and system connections for predictable steps, with clear handling for missing data and exceptions.
- 08
AI and LLM processing
Apply AI where the workflow needs useful generation, interpretation, classification or judgement, with boundaries around inputs and outputs.
- 09
Human approval controls
Give the right person a clear opportunity to review relevant content, communications, important data and publishing actions.
- 10
Monitoring and improvement
Make failures, hand-offs and useful measures visible so the workflow can be tested, maintained and improved over time.
04 / process
A clear route from question to action.
The detail changes by project, but the decisions stay visible and the next step stays understandable.
- 01
Discover
Understand the business process, the repeated work, the people involved and the result that would make a difference.
- 02
Map
Document triggers, systems, data, decisions, exceptions, ownership and where a human should review the output.
- 03
Build
Connect the required tools and implement the rules, APIs, databases, SaaS steps or AI processing that fit the workflow.
- 04
Validate
Test normal cases, edge cases, permissions, failure handling and the quality of any generated or transformed output before wider use.
- 05
Improve
Review what the workflow is doing in practice, then refine the prompts, rules, content, connections or reporting where the evidence supports a change.
decision control
Not every step needs AI.
Predictable work is often better handled with conventional automation, business rules and API connections. AI or LLM processing is useful where a workflow needs judgement, classification, generation or interpretation. Important content, communications, data changes and publishing can stay behind clear human approval.
AI preparesHuman reviewsAutomation publishes, sends or updates
05 / proof, when ready
Proof should follow the workflow.
No AI automation case study is published here yet. When a verified example is available, it should show the starting process, the systems involved, the human checks and the measured change.
- Case study
- Placeholder No published AI automation example assigned yet.
- Evidence
- Placeholder Starting workflow, systems, approvals and verified outcome to be supplied.
- Status
- Placeholder Development placeholder until a real example is verified and approved for publication.
06 / questions
Useful answers before we start.
What is AI automation?
AI automation combines normal workflow automation with AI or LLM processing where it is useful. It can move information between systems, prepare work, classify inputs or generate a draft while keeping the workflow understandable and controlled.
Which tasks can you automate?
Good candidates include repetitive research, content preparation, metadata, reporting, data cleaning, document extraction, lead routing, CRM updates, notifications and internal tools. The task needs a clear trigger, useful result and sensible exception handling.
Does every automation need AI?
No. Predictable tasks are often better handled with conventional automation, business rules or an API connection. AI is most useful where the workflow needs judgement, classification, generation or interpretation.
Can AI automation work with our existing systems?
Often, yes. The starting point is mapping the systems, data and permissions already in use. Websites, CRM systems, spreadsheets, APIs, email, analytics platforms, databases, CMS and ecommerce tools may all form part of a workflow, depending on what is available.
Can a person approve important steps?
Yes. Human approval can be placed before relevant content, communications, important data changes or publishing actions. The workflow should make the review clear and record what happens next.
Can you automate SEO or reporting workflows?
Yes. Automation can help collect inputs, support audits, organise research, monitor agreed signals, prepare reports and flag opportunities. The scope depends on the sources, quality checks and decisions the team wants to keep in view.
Will AI automation replace our existing software?
Not necessarily. The useful result may be a better connection between the tools you already use, a focused internal interface or a small workflow around an existing system rather than another large platform.
08 / start a project
Ready to find the useful automation opportunity?.
Tell us which work keeps getting repeated, where systems are disconnected or which process needs a clearer route. We can map a practical starting point together.