Solutions
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 arrivesAI sorts and draftsTeam approvesReply 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 receivedAI extracts fieldsExceptions checkedStructured 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 enquiryAI sorts and dedupesFollow-up confirmedCRM 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 dataAI drafts reportNumbers checkedReport 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 requestAI proposes timesApproval if neededEvent 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 questionAI finds sourcesSensitive answers checkedInternal 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.