AI ConsultancyAI automation consultancy

    Automate the repetitive work that takes up your team's week

    We review your workflows, rank the processes worth automating, then build each approved automation, test it on your own data and hand it over with documentation. The engagement covers both the recommendations and the working automations.

    • Recommendations and working automations
    • Built and tested against your own data
    • Designed around your existing tools
    • Documentation and team training included
    4 stagesaudit, ranking, design, then build and handover
    4 outputsopportunity register, designs, cost model and handover documents
    Your dataeach automation is tested on your own records before it goes live
    Your toolsdesigned around the systems your team already uses

    Why it matters

    Repetitive admin is often the easiest place to start

    Data entry, pulling details out of documents, preparing regular reports, sorting incoming email and processing invoices are common examples. Tasks like these repeat in the same pattern, which makes them candidates for automation. Some parts will still need a person, and some processes are better fixed or documented before anything is automated. The audit tells you which is which.

    AI automation consultancy means a specialist maps your repetitive processes, judges which are worth automating and which are not, then builds the chosen automations, tests them against your own data, documents them and connects them to the tools you already use.

    See it run

    Lead qualification agent in practice

    The workflow as it runs day to day, with a person signing off at the end. Sample data.

    Process

    How the automation engagement works

    The engagement moves from a workflow audit to automations running in your business, with documentation and training for the people who will look after them.

    1. 01
      Workflow and time audit

      We map your most time-consuming processes in detail: who does what, how long it takes, where errors happen and where work waits. We are looking for repetitive, rule-based tasks that could be automated, and for steps that need a person's judgement.

    2. 02
      Automation opportunity ranking

      We score each candidate process on how much of it can be automated, the effort to build it and its value to the business. You see a ranked list with our estimate of the hours involved for each, including the ones we recommend leaving as they are.

    3. 03
      Tool and architecture design

      For each automation you approve, we design the approach. That could be an AI agent, a standard workflow automation, a document processing step or a combination. We specify the tools, the data each step uses and the points where a person reviews or approves the output before any build begins.

    4. 04
      Build, test and handover

      We build each automation and test it against your own data and workflows before it goes live. Your team gets training and written documentation, and we agree a support period after go-live as part of the scope.

    Deliverables

    What the engagement delivers

    Four outputs, from the audit stage through to handover.

    Automation opportunity register

    The repetitive and rule-based processes we review, each scored and ranked by how much can be automated and the estimated time involved.

    Solution design for each automation

    A technical design for each recommended automation, covering tools, data flows, integration points and where a person reviews the output.

    Time and cost model

    Our estimate of what each automation costs to build and run, the time it should save each week and the assumptions behind those figures.

    Handover documentation and training

    Written documentation and a walkthrough with your team for each automation we build, covering how to operate it, check its output and spot when it needs attention.

    Why Us

    Why businesses choose Reformat Labs for AI automation

    We have built automations for businesses in legal, finance, healthcare, property and professional services. Each one is designed so your team can understand and maintain it.

    Tested on your data before go-live

    An automation that produces poor output or needs constant attention creates a new job for someone. We test against your own records and workflows and fix what we find before anything goes live.

    A person reviews the output where it matters

    We agree with you which outputs a person checks or approves, and at which step. Your team can see what each automation does and change those checkpoints later.

    The simplest tool that does the job

    If a standard workflow automation solves the problem, we use it. We only build an AI agent where the task needs one, for example when the inputs are free text that varies from case to case.

    Training for the people who run it

    Each automation comes with documentation and training, so the people who use it day to day understand how it works and what to check.

    Faq

    Common questions about automation work

    What we automate, how long it takes and what happens after handover.

    What kinds of processes are good candidates for AI automation?

    Typical candidates include extracting details from documents such as invoices, contracts and applications, data entry and validation, sorting and drafting email, preparing reports, qualifying leads and scheduling. Tasks that several people repeat in the same way are often worth a look. The audit identifies the candidates in your business.

    What's the difference between AI automation and regular workflow automation?

    Standard workflow automation, such as Zapier or Make, follows fixed rules and suits structured inputs. AI automation can handle unstructured inputs such as documents, emails and free-text forms, where the content varies and fixed rules would miss cases. Some processes need both, and we choose the approach process by process.

    How long does an automation engagement take?

    It depends on how many automations you approve and how complex each one is. We set out the stages and our estimated timings in the proposal before work starts.

    What happens if an automation produces a bad output?

    Where an output matters, we build in a step where a person reviews it before it is sent or acted on. We also set up monitoring and alerts so your team can see when an automation behaves unexpectedly. A review step reduces the chance of an error going further, and the person checking still needs to read the output.

    Will my existing tools integrate with what you build?

    We design around the tools you already use, such as your CRM, accounting software, email system and document storage. We check what each system allows during scoping. If a tool cannot connect in the way the automation needs, we tell you and set out the options.

    Do you offer ongoing support after the automations are built?

    Yes. Our Managed Services cover monitoring, maintenance, updates and improvements to your automations. It is optional, and some clients look after the automations themselves after handover.

    Talk to us

    Tell us about the process you want to automate

    Bring the task your team spends most time on and the tools you already use.