Reduce the manual steps between receiving information and getting the job done. We connect your business tools and build workflows that organise information, prepare outputs, and involve your team where review is needed.
Discuss a workflowA workflow is the sequence of steps needed to complete a task. Automation allows software to carry out some of those steps, instead of a person repeating them each time.
For example, a new enquiry arrives, someone reads it, records the details, decides who should handle it, and prepares a reply. A connected workflow can move information between these steps and prompt the right person when a decision is needed.
Conventional automation follows fixed rules, such as copying a form field into a spreadsheet. AI can help with less structured information, such as summarising a free-text enquiry or identifying requested details in a document. We choose the appropriate method for each step.
The workflow can pause for approval or pass an uncertain result back to a person. We define what happens when information is missing, a connection fails, or a request falls outside the agreed process. Your team should know what needs attention.
Illustrative use cases. Scope and feasibility depend on your systems and information.
An enquiry arrives by email or form. The workflow identifies the type of request, prepares a summary, and routes it to the right person. It may also draft a response for review. Your team approves the reply where that is part of the agreed process.
Staff receive a document and normally copy selected details into another system. A workflow can extract those details, check for missing fields, and present them for verification before the record is updated.
Information from agreed sources is collected into a report, with an AI-generated draft summary where useful. A team member checks the figures and explanation before the report is distributed.
Each project is scoped around a defined process. A typical implementation can include:
A map of what starts the process, which information is needed, what the software does, and who reviews the result. It also identifies the situations where the process should stop or request help.
We configure the supported connections between the systems in scope. Feasibility depends on each tool’s connection options, account permissions, and subscription plan; these are checked before implementation is confirmed.
Testing covers representative inputs and likely exceptions, including missing information, duplicate requests, uncertain outputs, and connection failures. The aim is to understand how the workflow behaves before your team depends on it.
Your team receives guidance on using, checking, and pausing the workflow, plus the agreed method for reporting problems. The proposal identifies who maintains it and whether ongoing support is included.
Scope, responsibilities, and success measures are agreed before implementation.
Choose one process, review its volume and common problems, and record a starting measure such as processing time or corrections needed.
Connect the agreed tools and test with suitable examples. Review the outputs, approval steps, and behaviour when something goes wrong.
Train the users and compare performance with the original process. Account for review time and running costs before deciding whether to expand.
The most useful starting point is a task that happens often enough for the improvement to matter.
Someone who knows the task helps us map the real steps and exceptions. Representative examples show what normal work looks like and where judgement is required.
Provide the names of the systems, who administers them, and any restrictions on access or changes. You retain control of your accounts; permissions for implementation are agreed as part of the project.
Decide which actions need human approval and who handles problems. Changes to your tools or working process can affect a workflow, so ongoing ownership and any support need to be clear.
What to consider before you choose your next step.
Often, but the required connections need to be checked first. We review which systems are involved, how they allow information to be shared, and what permissions are available. Some tools provide ready-made connections; others require an API, which is a supported way for one piece of software to communicate with another.
Your subscription plan or administrator settings may limit those options. We explain any required account changes, extra subscriptions, or workarounds before confirming the build. If a system cannot support the desired connection reliably, that limitation affects the proposed scope rather than being discovered only after implementation starts.
The service focuses on the steps within a task, such as copying information, sorting requests, or preparing a first draft. Automating those steps can give staff more time for work that requires their knowledge, customer relationships, or judgement.
People may still need to approve outputs, resolve unusual cases, correct source information, and oversee the process. We identify those responsibilities during planning and explain what changes for the team. Whether a workflow is worthwhile depends on the whole process, including the review work it creates, rather than the number of steps that can run automatically.
AI can make mistakes, so the review approach needs to match the consequences of the task. A workflow that prepares a customer reply can send the draft to a staff member for approval. A workflow that extracts document details can flag missing or uncertain fields for checking before a record is updated.
We test representative inputs and likely exceptions before handover, and agree how staff report problems or pause the process. Testing reduces avoidable issues but does not guarantee perfect outputs. The project defines which actions can proceed automatically and which require a person to check the result.
Yes. A clearly defined task is often a useful first project because the steps, required information, and results are easier to evaluate. For example, you could start with sorting one type of enquiry instead of trying to automate every customer interaction.
We agree what starts the workflow, which tools it uses, what it should produce, and who reviews exceptions. After testing, you can compare it with the current process and decide whether to improve it or expand to related tasks. Each expansion needs its own review of connections, permissions, costs, and responsibilities.
A workflow may use paid software subscriptions, AI processing, hosting, or other connected services. Some charges depend on how often the workflow runs or how much information it processes. Maintenance or support may also be needed when your tools, documents, or business process change.
The proposal separates implementation fees from expected ongoing costs and explains the assumptions behind estimates. We clarify which subscriptions you manage, what any support arrangement includes, and which costs may vary with usage. This helps you assess the cost of operating the workflow as well as the initial build.
Describe the steps your team repeats and the tools involved. We can assess where automation may help.