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An idea for AI-supported business processes

Free your team for
higher-value work.

Spend less time finding information across your systems and more time using it
to resolve problems, organise work and help customers.

  1. Gathering information from your existing systems

    The same approach can help with order progress, stock availability or project commitments. Here, we follow a team coordinating service jobs.

    The operations coordinator starts the day

    Which jobs need our attention today?

    Opening systems, matching records and chasing updates leaves less time to organise the work. The connected process brings these sources together, so the coordinator can start with the relevant information.

    Job system

    Due dates, required skills and tasks.

    Scheduling system

    Assignments and availability.

    Customer records

    Site contacts and access requirements.

  2. Connecting related records and sharing updates

    DataHub, Reimaginate's integration service, matches related records and shares agreed updates across your systems. Job, scheduling and customer details come together in one view.

    Job, scheduling and site information connected to one board, with an empty assignment highlighted in amber.

    The relevant facts, ready to work with.

    Riverside servicing

    Due
    Tomorrow Job system
    Engineer
    Not assigned Scheduling system
    Site access
    After 10 am Customer records

    Keep using your existing systems, with trusted sources and update frequency configured around your needs.

  3. Flagging missing assignments and overdue work

    Agreed checks flag jobs without an assigned person, overdue work and missing details, giving the coordinator a focused list to investigate.

    Due tomorrow. No engineer assigned.

    Riverside needs a scheduling decision. The due date and missing assignment now appear together, alongside the customer's access requirement.

    No manual comparison of job lists and schedules.

  4. Answering questions across your systems

    AI uses the connected records to answer questions, explain the relevant facts and identify what still needs checking.

    An illustrative AI exchange

    The coordinator asks

    Who has the right skills and availability for Riverside after 10 am tomorrow?

    Alex could be suitable. The skills record lists the required servicing qualification, and the schedule shows a free slot at 10:30 am tomorrow. That fits Riverside's access window.

    The scheduler needs to confirm there is enough time for travel and the job.

    Sources: job requirements, engineer skills, schedule and customer site details.

    The connected view is useful on its own. AI adds a way to ask questions, with source records available to check the answer.

  5. Keeping job information up to date

    The scheduler confirms Alex has time for travel and the job. The coordinator books Alex, agrees the 10:30 am visit with the customer and records the assignment. DataHub shares the update with the connected job view.

    Tomorrow's visit is back on track. The coordinator has resolved the scheduling gap a day ahead, with Alex assigned and the customer expecting the 10:30 am visit.

    Less time finding the picture

    Switching systems, comparing records and chasing updates.

    More time using their experience

    Resolving scheduling gaps, organising work and helping customers.