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Example workflows, by business task.

Six everyday tasks where AI can take on the repetitive steps. Each one shows where a person reviews the work.

These are illustrative examples, not client case studies. We design each workflow around your systems, your data and your approval rules.

  • Example workflow

    Email triage

    Sort a shared inbox, flag what is urgent and prepare draft replies for your team to approve.

    Email arrives
    AI sorts and drafts
    Team approves
    Reply sent
    Who it's for
    Teams that answer a shared inbox: support, sales or operations.
    How it works today
    Someone reads every message, decides who should handle it and writes each reply from scratch.
    What AI takes on
    AI labels and prioritises incoming email and drafts replies from your approved templates and past answers.
    Systems involved
    Shared mailbox · CRM or help desk (optional)
    Human review
    A team member reviews and edits every draft. Nothing is sent without their approval.
    What success looks like
    Urgent messages are seen first, and replies are checked rather than written from scratch.
  • Example workflow

    Document processing

    Pull the key fields out of invoices, contracts and forms, check them and send them to the right place.

    Document received
    AI extracts fields
    Exceptions checked
    Structured record
    Who it's for
    Finance, admin and operations teams that re-type information from documents.
    How it works today
    Staff open each document, copy fields into another system by hand and chase missing details.
    What AI takes on
    AI extracts the fields, checks them against your rules and routes each document to the right queue or system.
    Systems involved
    Where documents arrive (email, shared drive or upload) · Your finance or records system
    Human review
    Exceptions and high-risk items, such as uncertain fields, unusual amounts or contract terms, go to a person before anything is recorded.
    What success looks like
    Routine documents become structured records, and your team spends its time on the exceptions.
  • Example workflow

    Lead intake

    Turn website and form enquiries into clean CRM records with a follow-up task for the right person.

    New enquiry
    AI sorts and dedupes
    Follow-up confirmed
    CRM record
    Who it's for
    Sales and business-development teams receiving enquiries from several channels.
    How it works today
    Enquiries arrive by form and email and are copied into the CRM by hand; duplicates and slow follow-ups slip through.
    What AI takes on
    AI removes duplicates, categorises each enquiry and creates the CRM record and a follow-up task.
    Systems involved
    Website forms and inbox · CRM
    Human review
    A salesperson confirms who follows up, and how, before the customer is contacted.
    What success looks like
    Every enquiry is logged once, with a named owner and a clear next step.
  • Example workflow

    Reporting automation

    Collect figures from approved data sources, draft the regular report and flag anything unusual.

    Approved data
    AI drafts report
    Numbers checked
    Report shared
    Who it's for
    Managers and analysts who rebuild the same weekly or monthly report.
    How it works today
    Someone exports data from several systems, pastes it into a spreadsheet and writes the commentary by hand.
    What AI takes on
    AI gathers figures from the data sources you allow, drafts the report and highlights anomalies.
    Systems involved
    Approved data sources (databases, spreadsheets, exports) · Where the report is shared
    Human review
    The report owner checks the key numbers and the commentary before it is shared.
    What success looks like
    The report is ready on time in a consistent format, and attention goes to what changed.
  • Example workflow

    Scheduling workflow

    Answer booking requests by checking availability and proposing suitable times.

    Booking request
    AI proposes times
    Approval if needed
    Event booked
    Who it's for
    Teams that coordinate appointments, site visits or meetings by email.
    How it works today
    Staff go back and forth by email, checking several calendars to find a time that works.
    What AI takes on
    AI reads the request, checks availability against your rules and proposes suitable times.
    Systems involved
    Shared calendars · Email or booking form
    Human review
    Requests outside your normal rules, such as urgent, unusual or high-value bookings, wait for a person to approve them.
    What success looks like
    Routine bookings are settled quickly, and exceptions stay with your team.
  • Example workflow

    Knowledge assistance

    Help staff find answers in your approved documents, with the source shown for every answer.

    Staff question
    AI finds sources
    Sensitive answers checked
    Internal answer
    Who it's for
    Teams that search policies, procedures or product documentation to answer questions.
    How it works today
    People search several folders or ask a colleague, and the answer depends on who is available.
    What AI takes on
    AI searches only the documents you authorise and drafts an internal answer that links to its sources.
    Systems involved
    Approved document stores · Internal chat or intranet
    Human review
    Answers on sensitive topics are checked by a responsible person before anyone relies on them.
    What success looks like
    Staff find the right document faster, and every answer can be traced to its source.

Have a workflow like one of these?

Tell us how it runs today. We will help you judge whether it is worth automating and where people should stay in the loop.