What we help you change

Information copied between tools. Enquiries waiting for a handover. Follow-up that depends on someone remembering. We design the steps, connections and checks around the work your business needs to get done.

Still deciding where AI could help? Our AI consulting and implementation service covers choosing a useful first project, scoping the build and preparing the team to use it.

Start with the bottleneck

The most useful starting point is often a task your team can describe without using the word AI. They open an email, find a customer, copy information, check it and send it somewhere else. Or they chase the same missing details every week.

We work with you to understand that process, what matters to the customer and where the team loses time. Then we check whether your existing software can do more of the job before recommending a custom build.

Workflows we can help scope and build

Enquiries into the next action

For a trade-business example, explore our AI implementation approach for plumbing businesses and try the sample enquiry handover.

Collect the useful details from a form, email or assistant conversation. Prepare a record or brief, check what is missing and route the enquiry to the right person. Your team decides when a draft can progress and when it needs review.

Quote and customer follow-up

Bring quote status, customer context and the office’s next action together. Agree timing, audience and stop rules before messages go out. For straightforward reminders, start with the native features in your job or sales software.

Routine admin across business tools

Explore our implementation service for consulting and professional services, covering proposals, onboarding and delivery handovers.

For consulting and professional services teams, see how to scope a first AI implementation and a client onboarding workflow with acceptance tests.

Connect supported CRM, scheduling, accounting and communication systems where a useful integration is feasible. Reduce repeated entry, prepare information for review and flag exceptions rather than letting them disappear between tools.

Customer replies drafted from your own facts

If your team answers the same kinds of customer email every day, drafting can happen inside the inbox or help desk you already use. The draft draws on an approved facts sheet (prices, delivery times, returns and warranty wording) rather than whatever a general chat tool assumes. Anything it cannot confirm is flagged for a person, and nothing is sent until someone has read it.

We also agree which customer details the drafting step needs and which it should never see. For the habits behind this, see our guides on what to remove before pasting a customer’s email into AI and checking an AI-drafted reply before it is sent.

Ecommerce support and order handovers

Bring relevant order information into the support team’s next action. Start by checking native tracking and help-desk features, then assess any gap between your store, fulfilment and support tools. Our ecommerce order-support guide includes an example workflow and pilot tests.

Documents into usable information

Extract relevant details from emails or documents, with checks for missing fields and uncertain results. Route important decisions back to a person. The goal is a dependable process your team can understand and supervise.

For broker teams, explore mortgage-broker workflow automation and a document-collection example that separates receipt from review.

What does a useful handover look like?

Suppose a client sends a file after the office has prepared a reminder. A useful connection records the receipt against the right request, holds the outdated reminder and gives the reviewer a clear next action. If the case cannot be matched, it sends the file for review rather than guessing.

The test is what happens after the first successful step. If the file saves but the CRM update fails, someone needs to see the unfinished work and resume it without creating a duplicate. Our consulting handover example shows a normal record, a scope conflict and a partial failure. Use those cases to assess how a proposed build would behave in your own business.

How an implementation comes together

  1. Map the workUnderstand the tools, people, volume and point where work stalls.
  2. Build and checkConnect the agreed steps and test ordinary cases, mistakes and failures.
  3. Launch and hand overStart with a controlled scope, show the team how it works and agree support.

Before building, we clarify access requirements, ownership and what success will look like. The scope should state what is included, what remains manual and what happens if a connected service is unavailable.

AI belongs where it can usefully interpret information or prepare an answer. Rules and conventional software can handle predictable steps. We choose the components around the problem rather than making every action depend on a model.

A real example: carrying enquiry context forward

For Emoney Home Loans, we rebuilt the website and added an AI assistant that guides a visitor through an enquiry. It keeps track of what the visitor has shared and passes relevant details to a broker, so the conversation can continue with that context.

See the Emoney project story and website.

Is custom automation the right next step?

It is worth exploring when the same work happens often, the steps are understood and there is a clear person to own exceptions. Your team also needs time to explain the process, provide the right access and review the result.

If the task is rare, still changing every week or already covered by an existing feature, configuration or a simpler routine may be the better starting point. We can discuss that too.

For a concrete trade-business example, read when ServiceM8’s native follow-up is enough. To plan the investment, use our AI implementation cost guide.

A few practical questions

Can you work with the software we already use?

That is where we start. The exact connection depends on available APIs or supported integrations, account plans, permissions and data quality. We check those constraints before committing to an implementation.

Do we need to replace our CRM?

Not by default. A connection or better use of your current tools may solve the problem. A custom CRM or wider system is an option when the business needs justify it.

How much does it cost, and how long will it take?

We scope the process, integrations and testing first, then agree the quote and timeline. A single handover and a multi-team business system involve different work. Support and future changes should have clear boundaries in the proposal.

What should we bring to the first call?

The task you want to improve, a list of your tools and a rough idea of how often it happens. You do not need a technical brief. The enquiry form gives us a starting point before you choose a meeting time.

Need help implementing the process? Explore our quote follow-up automation service for scope, stop rules, pilot tests and what to bring to a project discussion.