Time back, every week.
The repetitive handling that fills a day handled automatically, with exceptions raised rather than buried.
AI automation.
Every business has a task the team keeps working around. Automation is worth doing when it removes that task reliably, and when a person stays in the loop where judgement is needed.
Talk about AI automation- Typical timeline
- 2 – 6 weeks
- Starts with
- A 30-minute discovery call
- Pricing
- Quoted against the agreed scope
CONNECTED INTELLIGENCE[ WHAT CHANGES FOR YOU ]The point
The point
of the work.
Connect the tools you use, keep leads moving, and help customers faster with practical automations, AI assistants, and intelligent workflows.
Nothing waiting to be noticed.
Enquiries routed, acknowledged, and followed up on a schedule, instead of waiting for someone to check.
Tools that finally talk to each other.
Your forms, inbox, CRM, calendar, and messaging connected so information stops being retyped.
[ WHAT’S INCLUDED ]Everything
Everything
in the scope.
A typical engagement covers the following. The final scope is agreed with you, in writing, before any work begins.
Get a scoped quote- 01
Workflow mapping
We document how the process runs today, where it breaks, and what it costs in time, before proposing anything.
- 02
AI assistants
Chat and voice assistants for enquiry handling and common questions, scoped to what they can answer accurately.
- 03
Lead follow-up systems
Routing, acknowledgement, reminders, and handover to a person at the point where a person adds value.
- 04
Integration
Connections between the tools you already pay for, so the automation fits your work rather than replacing it.
- 05
Onboarding & support
Training for the people who will run it, a clear way to pause it, and support while it settles in.
[ HOW IT COMES TOGETHER ]Four steps.
Four steps.
No surprises.
- 01
Map the current process
We watch the real workflow, including the workarounds, and measure the time it takes today.
- 02
Pick one process
Something with a clear beginning and end, and a measurable before. That becomes the first build.
- 03
Build with a person in the loop
We decide where approval is required, then build the pause, the fallback, and the alerts alongside the happy path.
- 04
Measure, then extend
Compare against the before. When the first workflow is reliable, apply what it taught us to the next one.
[ TYPICAL TIMELINE ]2 – 6 weeks
For a first workflow, from mapping through to running in production. Additional workflows build on the same foundations and move faster.
[ A GOOD FIT IF ]
- Teams losing hours to copying information between tools
- Businesses where enquiries sometimes go unanswered too long
- Owners doing administrative work that no longer needs their attention
[ QUESTIONS ABOUT AI AUTOMATION ]Asked and
Asked and
answered.
Questions about working with us more generally — cost, timelines, and support — are answered on the FAQ page.
That is not what we build for. The work we automate is the repetitive handling that gets in the way of the work people are actually good at. We deliberately keep a person in the loop wherever a judgement call, an unusual request, or a sensitive decision is involved.
We scope assistants to what they can answer accurately and hand over to a person outside that scope. Every workflow gets a way to pause it, a fallback when a connected tool is unavailable, and alerts when something needs attention. That is designed in from the start, not added later.
Usually. Most common business tools connect through an API or an established integration. We confirm what is possible with your specific stack during workflow mapping, before you commit to a build.
We work with the minimum data the workflow needs and keep it inside the tools you already control wherever possible. Which systems are involved, and what moves between them, is documented as part of the build.
[ READY WHEN YOU ARE ]Let’s talk about
Let’s talk about
your AI automation.
Tell us where you are now and what you want next. We’ll come back with an approach, a timeline, and a clear quote.