Golden SkyAI Proposal
Cover

We show service businesses exactly where AI pays off.

Three weeks · three documents · yours to keep

Section 01

Who are we?

And why you should listen to any of this.

The company

We're a consultancy and implementation partner. Not an AI agency.

We map where AI actually pays off inside a service business, build the solutions that earn their place, and hand every one of them to a named person on your team.

Most firms in this space want to hold the keys. We build the system inside your business, then make sure it runs without us.

We don't resell a platform and we take no vendor commissions, so the recommendation is never a commission. If the right answer is a tool you already pay for, that's the answer you get.

The founder

One person on your account.

Ben Lane. Seven years building automation and AI systems inside service businesses — healthcare, fitness, trades, professional services. Every engagement is run by him personally. There is no account manager layer, because in three weeks there is nothing for one to do.

The work is deliberately built so you don't need him afterwards. That isn't modesty, it's the product.

Ben Lane
Section 02

What do we help with?

Almost every business that comes to us has some of these problems. Most have most of them.

Diagnostic

Which of these sound like your business?

Pick the ones that sound most like you right now.

Problem 01

No clear ROI

  • Licences on the company card, and no line in the P&L that moved
  • Nobody can say what a single tool saved last quarter
  • The business case was never written down, so it can never be checked
Problem 02

AI usage isn't tracked

  • No view of who is using what, or how often
  • Real work is going into tools nobody sanctioned
  • When something breaks there is no record of what it was doing
Problem 03

AI gets worse over time

  • What was built once is never revisited
  • The models change underneath it and nobody notices
  • Output quality drifts, and the team quietly stops trusting it
Problem 04

No AI policy

  • Nobody has written down what is allowed and what isn't
  • Staff are guessing, which means some of them are guessing wrong
  • New starters get no guidance at all
Problem 05

Security and compliance exposure

  • Client data going into tools nobody has assessed
  • No answer ready for the question an auditor or a client will eventually ask
  • Contractual and regulatory obligations never mapped against the tools in use
Problem 06

The team can't use it properly

  • Confident with the obvious, lost beyond it
  • No shared prompts and no shared patterns — everyone starts from scratch
  • The people who would benefit most are the ones avoiding it
Problem 07

Chatbots instead of agents

  • People paste into a chat window and paste the answer back out again
  • Nothing is trained on your processes, your data or your standards
  • The tool waits to be asked, instead of doing the work
Problem 08

Rebuild the process, or automate it as it is?

  • Nobody can say whether to fix the process first or automate what's there
  • Automating a broken process only makes it break faster
  • Rebuilding everything stalls for a year, so in practice nothing happens

They look like eight problems. They are one: you can't prioritise what you haven't mapped.

03 · How we make sure

Here's how we make sure you never face any of these again.

You'll be able to see it

  • Every opportunity costed before you spend, so ROI is a number you agreed up front rather than a hope you audit later
  • Every solution tracked from day one, with a log you can actually read
  • A monthly loop that improves them, so nothing drifts quietly

Answers problems 01 · 02 · 03

You'll be able to govern it

  • An AI policy written for your business, not downloaded from someone else's
  • Every AI worker on a register with a named human owner, defined permissions and a kill switch
  • Security and compliance answered before anything is built, not after somebody asks

Answers problems 04 · 05

You'll be able to use it properly

  • Your team taught on their own work, not on a generic course
  • Agents trained on your processes and your data, doing work — not a chat window people paste into and hope
  • A clear call on every process: fix it first, or automate what's already there — with the reasoning written down

Answers problems 06 · 07 · 08

Fully costed. Fully planned. Clear ROI.

04 · What you get

Three documents. Yours to keep, whatever happens next.

Not a slide deck of recommendations. Three working documents your leadership team can act on, quote from, and hand to whoever builds it — including if that isn't us.

Deliverable 01

The Key Findings Report

How the business actually runs today, department by department, and what each inefficiency costs you a year. Every finding carries a number, because a finding without one is an opinion.

  • Every department mapped — people, tasks, hours, tools
  • Manual cost per year, at your own blended rate
  • Tools assessed, including which have an API and which are dead ends
  • Data quality and team readiness, honestly scored
Open a real one →
Key Findings Report
Deliverable 02

The AI Roadmap

What to do first, second and third. Phased, sequenced and costed, so you can stop after any phase and still be ahead of where you started.

  • Opportunities ranked by value, not by how interesting they are
  • Each phase scoped with a build estimate and a payback period
  • Dependencies made explicit — what can't start until something else finishes
  • A version you can take to another supplier, if you'd rather
Open a real one →
AI Roadmap
Deliverable 03

The Operating Model

Your org chart the way it looks afterwards, with the AI roles on it and a named human owning each one. The answer to "so what does my business actually look like when this is done?"

  • Humans and AI side by side on the same chart
  • Every AI role has an accountable manager, not a vendor
  • What each role is allowed to do, and where it must escalate
  • The shape you're hiring and training against from here
Open a real one →
Operating Model
05 · The three weeks

You'll know exactly what's happening, and when.

Onboarding goes out to everyone involved on day one, so nobody is surprised by a calendar invite from a consultant they've never heard of.

Week 1

Onboarding and access

  • Onboarding pack sent to every person involved, with what we need and when
  • One access list, sent once, with a deadline — not five separate chases
  • Your workspace goes live; everything we produce lands in it as we go
  • Kickoff session with leadership

Your time: about 2 hours, mostly the kickoff

Week 2

Mapping and audit

  • Interviews with the people who do the work, not just those who describe it
  • Every department mapped — tasks, hours, handoffs, where things stall
  • Tools and data audited against your actual accounts, not screenshots
  • Costs calculated as we go, so nothing is a surprise at the end

Your team: 45 minutes each, one person per department

Week 3

Findings and plan

  • Key Findings Report written and delivered
  • Roadmap phased, sequenced and costed
  • Operating Model built, with named owners on every AI role
  • Leadership walkthrough — we present it, you interrogate it

Your time: 90 minutes for the walkthrough

06 · Afterwards

What you're actually holding on day twenty-two.

01

A written map of how the business runs — that survives the person who knows it best resigning.

02

A ranked plan with a number against every line — so the next decision is a yes or a no, not a debate.

03

An org chart with AI roles on it, and the name of the human accountable for each one.

04

An AI policy your people can actually follow, and your auditor can actually read.

05

A keep-or-replace view of your tech stack, including subscriptions you'd forgotten you were paying for.

06

A leadership team that agrees on what happens first — usually the part that was actually missing.

On a scale of one to ten — how does that sound?

Before we talk about what it costs: tell me what's missing. If something here doesn't apply to your business, the next section should change shape, not the price.

07 · Two ways in

Same three documents. Who does the work is the choice.

Both end with the same deliverables in your hands. The difference is whether your people spend the hours capturing the business, or we do.

Tier 01
Gold

Done with you · 3 weeks

$3,000
  • Your own Clarity workspace — the full framework, set up for your business
  • Guided sessions across every department, run to a fixed structure
  • You capture it, we review every answer and push back where it's thin
  • Weekly working session — four of them, 60 minutes each
  • Key Findings Report, written by us from what you captured
  • AI Roadmap — phased, sequenced, costed
  • Operating Model — your chart with AI roles on it
  • AI policy and tech stack keep/replace view
  • Leadership walkthrough at the end
Start with Gold

Right when you have someone internally with roughly four hours a week to do the capture work.

Tier 02 · Most chosen
Platinum

Done for you · 3 weeks

$5,000
  • Everything in Gold, plus:
  • We run the interviews with your team — you chase nobody
  • We fill the framework from those interviews, not a form you sent round
  • Every department mapped by us, including the ones nobody volunteers
  • Data and tools audit done by us, against your actual accounts
  • Deeper Key Findings Report — findings per department, not per business
  • Roadmap costed with build estimates, so the next decision is a yes or a no
  • Operating Model with named AI roles and the human who'd own each
  • Two walkthroughs — one for the board, one for the people doing the work
  • 30 days of questions answered after delivery
Start with Platinum

Right when the people who hold the knowledge are the people with no spare time. Which is most businesses.

The first move is a conversation, not a contract.

Twenty minutes. We work out which of the two fits, or whether neither does. If it's neither, you'll leave with the two things you should go and do yourself anyway.

Book the conversation ben@goldensky.ai

Most companies that finish Clarity go on to build the first phase with us over the following six months. That's a separate conversation with a separate number, and it happens in week four — never during the sprint.

Golden SkyAI ben@goldensky.ai
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