Inside a three‑month AI project with KPAI: what actually changes week by week
If you have ever thought about working with an AI consultancy in Jersey, you have probably wondered what an AI project actually looks like from the inside. Not the slide‑deck version - the real one, with meetings, doubts, fixes and small wins along the way.
This is a walk-through of a typical three‑month engagement with KPAI, based on patterns from real projects with Jersey and Channel Islands businesses. Details are blended for privacy, but the shape is true.
Weeks 1-2: getting clear on what’s worth fixing
What you feel:
You arrive with a vague sense that “we’re wasting time on manual work” and “everyone is too busy”. You are not sure where AI fits, only that something needs to give.
What we do together:
- One or two focused workshops to map how work really happens today in your business
- Identify 2-3 workflows that are painful, repetitive and mostly rules‑based
- Agree simple success measures: hours saved per week, errors reduced, or faster response times
Your team’s involvement:
A founder / leader plus the people who actually do the work we’re talking about. Sessions are short and practical - no AI theory.
Weeks 3-4: designing the first workflow
What you feel:
Relief that we are talking about concrete things (“that inbox”, “that report”), plus a bit of worry about disruption.
What we do:
- Choose one priority workflow for the first build
- Map the steps in detail: where information comes from, which tools are involved, who touches it
- Decide exactly what AI and automation will and will not do
- AI might read and tag messages, draft replies, or compile summaries
- Humans still approve anything sent to customers and own important decisions
- Select the tools that fit your existing stack (email, CRM, Websites, booking tools, etc.)
Your team’s involvement:
A few short interviews or screenshares with people doing the work now. Their reality shapes the design.
Weeks 5-6: building and testing behind the scenes
What you feel:
Mostly back to normal life, with occasional check‑ins. You haven’t had to stop the business to “go digital”.
What we do:
- Build the first version of the new workflow on top of your existing tools
- Connect systems safely so data flows where it needs to
- Configure and prompt the AI components so they handle text in a way that matches your tone and rules
- Test with sample data, fix obvious issues, and prepare clear on‑screen guidance
Your team’s involvement:
Light: answering a few questions, checking examples to confirm they feel right.
Weeks 7-8: trial run with real work
What you feel:
You start to see it working - but with training wheels on. There is still a safety net.
What we do:
- Switch the new workflow on for a subset of real work (for example, one team)
AI and automation begin:
- Humans always approve
- Track the agreed metrics: time spent, backlog size, turnaround times, error rates
Your team’s involvement:
Use the new process in parallel with the old habits for a short period.
Give quick feedback: what helps, what gets in the way, where it feels risky or clumsy.
No one is asked to trust the system blindly; they see it side‑by‑side.
Weeks 9-10: refining and rolling out properly
What you feel:
Confidence that this is genuinely making life easier, plus some impatience to roll it out more widely.
What we do:
- Fix edge cases and annoyances identified during the trial
- Tighten prompts and rules based on real‑world behaviour
Decide whether to:
Expand the workflow to more teams or
- Start design on the second workflow (for example, reporting or support)
- Capture what we have learnt in short, plain‑English documentation
Your team’s involvement:
Use the improved version as the new normal for that workflow.
Join a short training or Q&A so everyone understands:
- What the system does for them
- What they are still responsible for
- How to flag issues
Weeks 11-12: measuring results and planning next steps
What you feel:
You have a clear sense of whether this was worth it-and you are not guessing.
What we do:
Compare before/after numbers against the measures we agreed at the start:
- Hours saved per week
- Fewer errors or re‑work
- Faster response times
- Any knock‑on effects (for example, more capacity without extra hiring or full replacement of roles)
- Walk through a simple payback calculation so you can see how long it takes to “repay” the project cost from those savings
Decide together:
- Do we stop here and just support what’s built?
- Do we tune this further?
- Or do we move on to the next workflow?
Your team’s involvement:
Giving honest feedback, sharing what feels better (or worse), and helping decide whether to expand.
What actually changes by the end of three months
For most Jersey businesses KPAI works with, three months looks less like a revolution and more like this:
- Two or three workflows that used to be heavy on manual effort now run with much less copy & paste and far fewer dropped balls
- Staff spend more time on conversations, judgement and providing value, and less on the manual processes that have been removed.
- Leaders get clearer, more regular visibility without needing someone to “pull the numbers” every week
- Everyone has a realistic sense of what AI and automation can and cannot do in their organisation
No one has lost a job (hopefully). You have just stopped paying clever people to do work the correctly built machine can safely help with.
What a three‑month KPAI project typically costs and returns
Most three‑month, multi‑workflow projects with KPAI land in the £15,000 - £25,000 range, depending on scope and complexity.
The aim is always the same:
For the changes to pay for themselves within about a year through time saved and fewer errors, with clear numbers that show it.
(If you want the detailed breakdown, the separate article on “What a sensible AI project should cost a Jersey business” walks through the maths.)
Is this what you want your first AI project to feel like?
If your picture of an AI project involves months of disruption, big platforms and vague promises, it does not have to be like that.
A professional AI consultancy in Jersey should be able to describe:
- Exactly which parts of your week will change
- How you will know it is working
- What happens if you choose to stop after the first phase
At KPAI, this three‑month shape is what most engagements look like in practice. If you’d like to see what it might look like around your workflows, the first step is a short simple conversation with our founder.
KP-AI Consulting
Based in Channel Islands
Working with us at KP-AI Consulting, everyday work will feel lighter, your team will have more breathing space, and you can trust your business to handle what comes next.
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