Information gets entered twice.
Your team moves the same details between inboxes, spreadsheets, and business software.
AI implementation for service businesses
Your team has
better work to do.
We build AI workflows and assistants that handle the repetitive work between your tools—so your team can spend more time serving clients and moving projects forward.
From incoming inquiries to client reports, we help you choose a useful starting point, build the system, and put it to work with your team.
Bring a task that keeps coming back. You don’t need a technical brief.
A closer look / Inquiry → follow-upPeople stay in the loop
A new inquiry arrivesFrom a form or your inbox
The routine work happensOrganize, check, draft
Your team reviewsHuman judgment, built in
A clear next stepLead record + follow-up
An example of how we connect the small steps around your real work.
The small tasks are taking up a big part of the day.
An inquiry arrives. Someone copies it into the CRM. Someone checks the details. Someone writes the same follow-up again.
Meanwhile, the work your clients actually pay for is waiting.
We start by understanding where the work gets stuck.
Reports start from scratch.
Pulling numbers together takes time before anyone can explain what they mean.
Answers live everywhere.
Finding the right document means searching folders or interrupting a colleague.
Follow-up depends on memory.
When work gets busy, the next step is easy to miss.
The right help for the work in front of you.
Find a useful starting point. Connect the repetitive steps. Give your team a system they can use.
Process assessment
Find the starting point.
We map a recurring task, review the tools and information involved, and identify what is worth improving.
What you geta workflow map, recommended scope, and success criteria for a pilot.
Workflow automation and integrations
Connect the steps.
We connect suitable tools and automate the repeatable steps between them, with review points and a way to handle exceptions.
What you geta tested workflow, operating instructions, and a handover to its owner.
Custom AI assistants
Make business information useful.
We build assistants around a defined task and approved information, from finding answers to preparing drafts.
What you geta configured assistant, tested examples, usage guidance, and documented limitations.
Here’s what a better workflow can look like.
Explore three everyday applications, from the information coming in to the work your team gets back.
01Turn an inquiry into a clear next step.
Example workflow · Lead intake and follow-up
The problem: inquiries arrive through different channels, leaving your team to collect details and decide what happens next.
Connect your forms and inbox to your CRM. The workflow organizes the inquiry, flags missing information, prepares a reply, and assigns the next action. Your team reviews the response before it goes out.
InputForms, inbox & CRM
OrganizeCheck details & draft reply
Human reviewApprove the response
OutputLead record & next action
You get: a structured lead record, a draft response, and an assigned follow-up.
02Start the client report with the information already assembled.
Example workflow · Reporting
The problem: recurring reports mean another round of exports, copy-paste, and formatting.
Bring together approved data from your reporting tools and spreadsheets. The workflow prepares the reporting period, flags gaps or unusual changes, and drafts a summary linked to the underlying figures. Your team checks the numbers and adds recommendations.
InputApproved tools & spreadsheets
PrepareGather figures & flag gaps
Human reviewCheck numbers & advise
OutputReviewable reporting draft
You get: a reviewable reporting draft, ready for the judgment your clients value.
03Find the answer without asking the whole team.
Example workflow · Internal knowledge assistant
The problem: processes and project knowledge are scattered across documents and conversations.
Connect an assistant to a defined set of approved documents. A team member asks a question; the assistant retrieves relevant material and prepares an answer with source links. When the information is missing, it flags the gap. Your team checks the source for important decisions.
InputQuestion & approved documents
RetrieveFind material & link sources
Human reviewCheck important decisions
OutputAn answer with sources
You get: a practical way to find and use the information your business already has.
Start with one workflow. Build from what works.
A clear scope, a practical pilot, and your team involved along the way.
- 01
Talk it through.
Show us the task, who handles it, and where it slows down. We identify the questions worth investigating.
- 02
Define the work.
We map the current process, check access and feasibility, and agree on the scope and measures of success.
- 03
Test a pilot.
We build a limited version using representative inputs. Together, we review the results before deciding what comes next.
- 04
Put it into practice.
We complete the agreed integrations, test normal and exception scenarios, and prepare the workflow for use.
- 05
Hand it over.
Your team gets documentation, onboarding, and an agreed plan for ownership and support.
A working system. A team that knows how to use it.
Your handover covers the system, the instructions, and the people responsible for it.
- What the workflow does and where human review belongs.
- How to run it, check its output, and handle exceptions.
- Who owns access, maintenance, and future changes.
- What support is included in the agreed scope.
A few things you might be wondering.
Do we need to know what to automate?
No. Bring a recurring task or bottleneck. We’ll help assess whether automation is useful.
Can you work with our existing software?
We assess your tools, access, and available integrations before recommending changes.
How much time will our team need to contribute?
We’ll need a process owner, representative examples, and feedback. We agree on participation when scoping the project.
What happens when AI gets something wrong?
We test representative cases, define review points, and agree how uncertain or failed outputs should be handled.
What information will you need access to?
That depends on the workflow. We agree on the required data, permissions, and services before connecting them.
How long does implementation take?
We estimate the timeline after assessing the workflow and its dependencies.
How much does it cost?
Pricing follows the agreed scope. We explain the project cost and expected software costs before a build begins.
Who maintains the system afterward?
We agree on ownership, maintenance responsibilities, and support before handover.
Let’s start with one task
What keeps your team busy that shouldn’t?
Let’s look at one recurring task and see what a better workflow could do.
Bring the problem, the tools you use, and an example of the work. We’ll discuss whether there’s a useful project to explore.
Booking opens soon