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Kevin Ferron Tech Consultancy & Digital Agency

KFTCDA Elite AI Enablement, by Kevin Ferron

AI that does your team’s work, with you signing off.

Most businesses stop at a chat window. This goes further: your team leaves with AI running on its own work, the Monday report, the inbox, quotes, chasing invoices, copying between three apps, and a person says yes before anything reaches a customer.

Book a free scoping call

Thirty minutes, about the work that eats your week.

  • For teams of 8 to 50 and sole proprietors
  • Built on your real work, not examples
  • You own the setup, the notebook and the accounts

A chat window is not a setup

One person on your team pastes a question into a chatbot and gets an answer. It helps that person, once. It does not know how your business runs, it does not remember last week, and nobody else can use what they learned.

Elite AI Enablement is the other end of it. The way your business runs is written down in one place, assistants read it and do one job each, and the work they do is logged where you can read it. The team learns it by doing its own work, in sessions run department by department.

What your team leaves with

Five things, running on your work.

  • A shared notebook of how your business runs

    Your prices, your habits, how you word a quote, who handles what. Written once, in plain language. The assistants read it and update it, and so can your team.

  • Assistants that each do one job

    One drafts replies to the inbox, one builds quotes, one chases late invoices, one writes the Monday report. Each has one job and knows where to look.

  • One that hands work to the right assistant

    Work comes in, and one assistant decides who should take it, so your team does not have to route anything.

  • A record of everything they did

    Every action is written down, with what it was based on. You can read it on any day, and so can the person who signs off.

  • Nothing goes to a customer until a person says yes

    Replies, quotes, invoices and messages wait as drafts for a person on your team. Nothing sends, and nothing moves money, without that yes.

Engineered, not prompted.

Prompting tells the model what to do. A harness decides what it sees, what it can touch, what it remembers, how its work is checked, and when a person steps in.

This is not a clever prompt, and it is not a script an AI wrote once and nobody checked. It is built the way dependable systems are built. The plain meaning sits beside each technical word.

  • Contract

    Prompting a chatbot
    A request typed from memory, different every time.
    Vibe-coded scripts
    A prompt that grew into a script.
    Elite AI Enablement
    Each job starts as a contract: the goal, the limits and what done means, written down and checked.
  • Map

    Prompting a chatbot
    One chat, one person, copy and paste.
    Vibe-coded scripts
    One-off scripts that do not know about each other.
    Elite AI Enablement
    A short map each specialist agent (an assistant with one job, using skills) starts from, and a coordinator (the one that hands out the work) that routes it.
  • Memory

    Prompting a chatbot
    Forgets everything between chats.
    Vibe-coded scripts
    Knows only what the script was given.
    Elite AI Enablement
    A shared vault (a notebook of how you run) outside the chat: plain files under version control, in your name.
  • Checks

    Prompting a chatbot
    Whatever the person notices.
    Vibe-coded scripts
    Generated code nobody reviewed, with no tests, so it breaks silently.
    Elite AI Enablement
    A reviewer step checks each output against your rules and sends it back on a fail, with a limit on retries.
  • Permissions

    Prompting a chatbot
    Whatever the person pastes in.
    Vibe-coded scripts
    Whatever access the script was given.
    Elite AI Enablement
    Least-privilege tool access (only what you grant) and human approval gates (a person’s yes), held outside the model.
  • Record

    Prompting a chatbot
    None.
    Vibe-coded scripts
    Little or none.
    Elite AI Enablement
    Every run traced and logged.

What the harness does

The model only reasons. The harness is everything around it that makes the work dependable. Seven jobs, in plain words, each with an example from a service business.

  1. 1. It turns a request into a contract

    Before work starts, the goal, the limits and what done means are written down.

    For example: A quote is done when it matches the price book and a person has approved it.

  2. 2. It gives each assistant a map, not a manual

    A short page says where things are, instead of everything an assistant might ever need.

    For example: The quote assistant is pointed at your price book and your last few quotes, not your whole drive.

  3. 3. It gives tools clear rules

    Each tool says what it takes, what it returns and what it may touch.

    For example: The invoice assistant can read the accounting tool, and cannot change an invoice.

  4. 4. It keeps memory outside the chat

    What the assistants learn is written to the notebook, not left in a conversation.

    For example: A pricing exception you made last month is still there when the next quote is drafted.

  5. 5. It checks before it trusts

    Tests, checks and screenshots show the work is right before anyone relies on it.

    For example: A drafted quote is added up again and compared with the price book before a person sees it.

  6. 6. It enforces permissions outside the model

    The rules are held by the system around the assistant, so asking nicely cannot get past them.

    For example: An assistant can draft an email; only a person can send it.

  7. 7. It keeps a record, and a way back

    Every run is logged, retries are limited, and a job that is stuck goes to a person.

    For example: After two failed tries on an invoice, the assistant stops and asks the office manager.

Every important rule is written twice: once as guidance the assistants read, and once as a check they cannot get around.

When something fails, the fix goes into the setup, so it does not fail the same way again, rather than patching the one result.

An agent graph, on your work

An agent graph on a small business’s workThree triggers, a new email, a quote request and a Monday 7:00 schedule, feed a coordinator that plans and routes. The coordinator delegates to four specialist agents: Triage with the inbox skill and read and draft access to email, Quote drafter with read access to the CRM, Report builder with read access to accounting, and Invoice chaser with read access to accounting. Each agent’s output is checked by a reviewer against the rules in the vault; a failed check is retried by the agent that produced the work. Passing work goes to a human approval gate, where a person says yes, and only then is sent or posted. The vault, the shared notebook, is read for rules and written back to. A run log traces every step.New emailinboxQuote requestwebsiteMonday 7:00scheduleplanCoordinatorplans and routesdelegateTriageskill: inboxEmail (read, draft)Quote drafterskill: quotesCRM (read)Report builderskill: Monday reportAccounting (read)Invoice chaserskill: late invoicesAccounting (read)checkReviewerchecks against the vault’s rulesretryHuman approvala person says yesapproveSend / postwrite backVaultyour rules, clients and how you workreads rulesRun log: every step is traced here

An agent graph is a map of who does what: what starts the work, the coordinator that routes it, the specialist agents (each with one skill and only the tools it needs), a reviewer, and a person’s approval before anything goes out.

How to read it

  • Green is the path the work takes. Gray is everything around it.
  • Each agent has its tools listed under it. It can use those and no others.
  • A reviewer failing a draft sends it back, so a bad draft does not reach the approval step.
  • Each job starts as a contract: a goal and a done-when. The reviewer checks the work against it.
  • Every run leaves a receipt in the run log: what it was asked, what it did and what it used.
  • Nothing is sent or posted until a person approves it.

How agent graphs work→

Your Obsidian vault

The shared notebook is a vault: a folder of plain notes in Obsidian, a free note-taking app. Notes link to each other with [[wikilinks]], so an assistant that opens one finds the rest.

Folders in a vault for a ten-person service business

A folder tree. Company holds How we work, Voice and Pricing rules. Clients holds one note per client. SOPs holds Quotes and Invoice chasing. Skills holds one note per assistant, with instructions and examples. Decisions holds what was chosen and why. Runs holds the daily logs the assistants write. People write every folder except Runs.Company/How we work.mdVoice.mdPricing rules.mdClients/one note per clientSOPs/Quotes.mdInvoice chasing.mdSkills/one note per assistant:instructions + examplesDecisions/what we chose, and whyRuns/daily logs the assistants write

How the notes link

A graph of linked notes. The Skills note for the Quote drafter links to the Quotes procedure, the Pricing rules, a client note and the Voice note; the Quotes procedure links to the Pricing rules; the assistant writes today’s Runs note.Skills/Quote drafter[[wikilinks]]SOPs/QuotesCompany/Pricing rulesClients/a clientCompany/VoiceRuns/today
  • People write the rules and procedures.
  • Assistants write Runs/ and propose changes, which a person approves.

Plain Markdown files in your own storage, under version control, so they move with you if you change AI vendors.

How far your setup goes

Setups run from a quick question to a system you can trust with real work. Four levels:

  1. Level 0

    A prompt and a chatbot

    One person asks and the model answers. Fine for a quick question. Nothing is kept and nothing is checked.

  2. Level 1

    Instructions and tools

    An assistant gets written instructions and the tools for one job, such as reading the inbox and drafting a reply.

  3. Level 2

    Memory, checks and a loop

    The notebook remembers, checks test each result, and the work repeats inside set limits.

  4. Level 3

    Permissions, a record and a person’s yes

    Access is limited and enforced, every run is logged, a stuck job goes to a person, and nothing goes out without approval.

Elite AI Enablement starts at the level your work needs and climbs only when a job earns it. Which level that is gets decided on the free scoping call, which is why the price follows your problem.

How it runs

Built on the work your team already does, a department at a time.

  1. 1. Leadership kickoff

    One session with the people who decide. We agree what the team is trying to get off its plate and who signs off what.

  2. 2. Hands-on sessions by department

    Sales, the office, the field, finance: each team brings the real thing, the Monday report, the inbox, a quote, a stack of unpaid invoices, and we set the AI to work on it together.

  3. 3. Each session ends with one question

    What would you hand over tomorrow? The answers become the list of assistants to build, and they show which jobs your people will actually adopt.

  4. 4. An opportunity map, walked through live

    The answers become a map of where AI helps your business and where it does not. I walk you through it on a call and never send it ahead, so you can ask questions as we go.

  5. 5. Recordings and how-to sheets you keep

    Every session is recorded, and each setup comes with a how-to sheet in your own words, for the next person who joins.

  6. 6. Then a build proposal, if you want one

    The work that is worth building is quoted on the Fix, Build or Transform tiers, at a fixed price in writing before anything starts. The sessions stand on their own if you stop there.

Who it is for

Service businesses of 8 to 50 people, and sole proprietors. A bigger team gets one session per department. A one-person business gets one, on your own week. If the work is mostly doing things in front of customers, it is the paperwork around it that this tackles.

The software-spend review is part of it

This used to be sold alone, as the Software Checkup. It is now one module of Elite AI Enablement. For every recurring software charge you pay, we look at who uses it and what it duplicates, and decide Keep, Cut, Downgrade, Consolidate or Build. It is where the setup stops paying for tools an assistant now makes redundant.

How the spend review works→

Book a free scoping call

Your accounts, your say

What stays true, whoever on your team is using it.

  • Assistants get only the access you grant.
  • Nothing goes to a customer, or moves money, without a person’s yes.
  • Every action is logged.
  • AI accounts are business-tier, in your name.
  • You own the setup, the notebook and the accounts.
  • My access is removed at handover.

Elite AI Enablement is about how your team works. It is not a security review.

Why me

I run my own business this way. The assistants read my notebook, do one job each, and keep a record I can read.

Built and maintained the skills and agent workflow an R&D firmware team adopted.

Before that: built a 14-engineer mobile studio for EA, and directed a 12-person engineering organisation at Zynga.

This site and business run on the same harness.

  • A one-page map that tells each assistant where everything is.
  • Every rule written twice: as a note the assistants read, and as an automatic check that fails the build.
  • A hook that asks me before anything goes live.
  • A feature loop that stops after three failed attempts and asks.
  • A vault for decisions and run logs.

My resume

For the technical reader

Under the plain words: the shared notebook is a vault, a second brain the agents read and write. Each assistant is an agent with skills. The one that hands out work is a coordinator, and the whole thing is an agent graph with a log and a human sign-off before anything leaves. I explain how each works, with no offer attached:

What it costs

Every business has a different set of problems, so the price follows yours. We start with a free 30-minute call about the work that eats your week, and you get a fixed quote before anything starts.

Questions

No. The sessions are about your own work, in your own words. If you can describe how you build a quote, you can do this.

Business-tier AI accounts in your name, plus the tools you already use. I help you pick them. You own the accounts, and my access ends at handover.

No. Replies, quotes and invoices wait as drafts until a person on your team says yes. Every action is logged.

A few people who do the work, a session at a time, and access to the tools they use. Nothing is granted that the job does not need.

No. It sets up AI on your team’s work. If you want your accounts and devices looked at, say so on the call and I will tell you how that differs.

Then the opportunity map says so, and you keep the sessions, recordings and how-to sheets. A build proposal is offered only for work that earns it.

What eats your week?

Tell me on a free 30-minute call. I read every enquiry myself and reply within 24 hours.

Book a free scoping call

All KFTCDA services · The software-spend review