How we work together

You don't need to prepare your company for AI before we start.

The first 90 days are designed to build that foundation while useful work is already shipping.

Book a 15-minute fit call
72 hoursConnect
Week oneShip
Month oneKnow
Months 2–3Build + compound
The first 90 days

Start shipping in week one.
Build the foundation as we go.

Onboarding gets the work moving. Month one has a bigger job: build the context and subtext infrastructure that lets future AI systems understand the company instead of starting cold every time.

01

72 hours: Connect.

Complete the core intake, gather required access and source material, identify the first priority and get the working environment ready.

02

Week one: Ship.

The first standard request goes through production immediately. You should see something useful before the company intelligence layer is finished.

03

Month one: Know.

Build the company intelligence: customers, offers, brand, workflows, voice, judgment, operating rules, source material and institutional knowledge.

04

Months two and three: Compound.

Use that understanding to build leverage, turn recurring needs into systems, train the team and determine what should be automated, owned internally or kept in the membership.

Month 1 KNOW

Build company intelligence while real work ships.

→
Month 2 BUILD

Create the systems, automations and outputs the business actually needs.

→
Month 3 COMPOUND

Systemize what repeats, transfer what the team can own and keep improving the capability.

If you stop after 90 days

The work does not disappear. You keep the company intelligence layer and agreed client-specific deliverables. Your team can continue building on them internally or with another partner.

The foundation

Build the intelligence once.
Use it everywhere.

Before AI can work well inside your business, it has to understand how your business actually works. During the first month, I build that understanding while useful work is already shipping.

Context is what your company says. Subtext is how your company actually works.
Company Intelligence

A portable knowledge layer built around your business.

Every future system can inherit the same understanding instead of relearning the company from scratch.

01

Context

Company, offers, customers, market, tools, assets, data and the facts AI needs to know.

02

Subtext

Voice, taste, customer psychology, leadership instincts, what good looks like and what never quite makes it into the brand guide.

03

Operating rules

Approvals, boundaries, sources of truth, exceptions, escalation rules and the work AI should never decide alone.

04

Working memory

Approved outputs, rejected directions, decisions, new evidence and what the relationship learns over time.

Yours.
No knowledge lock-in

Your business knowledge belongs to your business.

If you stop working with See Kirk Work, you keep the company intelligence we built together. Your internal team can continue using it, extend it, or hand it to another partner. I retain the reusable See Kirk Work methods, engines and underlying production infrastructure.

How it works

Every request enters the same operating rhythm.

01

Tell me what you need.

Bring the request, half-formed idea or business problem. You do not have to know the right AI solution.

02

I figure out what should happen.

I determine the right approach, what I need from you and how to get it into production.

03

The work ships.

Most ongoing requests move within two business days. Larger work moves in useful milestones.

04

We move to the next priority.

Keep adding needs to the queue. One active priority keeps the work focused and moving.

The longer we work together, the less explaining you have to do. Your approved work, preferences and company context carry forward into future requests.

What powers the work

The request is broad.
The production system is not.

You do not need to learn my tool stack. But the speed has a reason. I have already built systems for research, identity, brand, content, outreach and AI production, and I keep adding new ones when client demand reveals a repeatable need.

You bring

The business need.

“Research this.” “Build this.” “Fix this workflow.” “Create the campaign.” “Help the team use AI.”

→
I route it through
AskSociety BNA72 Brand systems Content systems Outbound engine AI production Automation New systems as needed
→
What you get

Something working.

Strategy, campaign, research, website, internal tool, automation, operating workflow, training or the next useful production unit.

Use what exists.

If a proven engine fits the request, start there.

Build what is missing.

A new need should not be forced into an old system.

Keep what repeats.

Recurring patterns become better internal production capability for future work.

This is why the 48-hour rhythm is possible. The work is not being recreated from zero every time. AI compresses production, established systems provide leverage, and I stay responsible for the judgment and quality.

Your AI Producer

You should not have to write a perfect brief.

The Producer is the front door to the service. Talk to it like a senior producer. It asks what matters, uses the company intelligence already built, gathers what is missing and routes the request into the right production path.

The Producer handles intake and coordination.I still own the judgment, direction and quality of everything that ships.
01Clarifies the outcome, not just the task.
02Breaks larger builds into useful 48-hour milestones.
03Maintains your queue, company intelligence and priorities.
See Kirk Work / Producer Ready
Our sales team keeps letting inbound leads fall through the cracks. Can you fix it?
Yes. I’d start by mapping what happens from new lead to first human response, then build the smallest useful automation before expanding it.
Request ready
DeliverableLead follow-up workflow + implementation plan
TimingWithin 2 business days
NextAutomation build after approval
Your queue

Unlimited ideas.
One thing moving at a time.

The queue gives the membership structure. Add everything the business needs, choose the priority, and keep work moving without ten half-finished threads competing for attention.

Stacked work folders representing one active priority in a larger queue
The queue turns vague demand into visible movement.

Instead of deciding whether something belongs to design, operations, automation or strategy, the work gets scoped, prioritized and shipped in sequence.

UnlimitedQueue
1 activePriority
2 daysRhythm
Live example

How the work stacks up.

The active request moves first. Everything else stays visible, prioritized and ready.

NowAutomate client onboardingIn production
NextBuild internal knowledge assistantReady
ThenCreate launch campaignQueued
ThenTrain sales team on the new AI workflowQueued
ThenRedesign weekly reportingQueued
Why this works

The model stays fast because only one priority is in production at a time.

What happens with big projects

Larger initiatives get broken into smaller deliverables and move through the same queue.

Why it gets better

Every useful request
can improve the next one.

The system is not limited to what already exists. A new problem gets solved. What proves reusable gets captured. Future work starts further ahead.

01Request

A real business need enters the queue.

→
02Solve

Use an existing engine or build what is missing.

→
03Capture

Keep the context, decisions and repeatable structure.

→
04Compound

The next similar request starts with more leverage.

After 90 days

The relationship should earn the right to continue.

By then, you should know what AI can actually own, what still needs senior judgment, what the team can run internally and what deserves a permanent hire.

01

Keep shipping.

Continue month-to-month at $5,000/month and keep the queue moving. Founding Five keep that rate locked while the membership remains continuously active.

02

Bring more in-house.

Move repeatable capability to your team using the systems and knowledge built together.

03

Hire differently.

Use what the first 90 days revealed to define the role you actually need.

04

Stop.

Keep the company intelligence and agreed client-specific work. No artificial knowledge lock-in.

FAQ

The details, when you want them.

Not finding answers?

Everything that usually comes up once the model is interesting enough to examine closely.

Book a 15-minute fit call
What counts as a request?+

A request can be an automation, presentation, campaign, landing page, internal tool, research task, prototype, workflow problem or something less defined. If the work is too large for one delivery, the Producer breaks it into smaller production units.

How fast will I get the work?+

Most companies are ready to work within 72 hours once the required access and inputs are available, with the first standard request completed within the first five business days. After that, most ongoing requests ship within two business days. Larger work moves in milestones so you keep seeing progress instead of waiting weeks for a reveal.

What does “unlimited requests” mean?+

Add as much work as you want to the queue. One priority is active at a time, which keeps delivery focused and protects quality. When that request ships, the next one starts.

Can you work with our existing tools, brand and team?+

Yes. The goal is not to replace everything you already use. I can work inside existing brands, platforms and workflows, then improve or extend the parts that need leverage.

What happens during the first month?+

Useful work starts immediately, but month one also builds the Company Intelligence layer underneath it. That means capturing the company facts, customers, offers, voice, workflows, decision principles, source material, constraints and institutional knowledge that future AI work should inherit. The goal is to stop treating your company like a stranger every time a new request begins.

Do you only use systems you have already built?+

No. Existing systems such as AskSociety, BNA72, brand/content workflows, the outbound engine and AI production infrastructure give me a head start when they fit. When the business needs something different, I build what is missing. If a pattern keeps repeating, it can become a new reusable See Kirk Work production capability.

Who owns the company context and knowledge you build?+

You do. The company-specific intelligence we build around your business is a portable asset. If you stop working with See Kirk Work, your team can keep using it, extend it internally or hand it to another partner. See Kirk Work retains its general methods, proprietary products, reusable engines and underlying production infrastructure.

What if a request falls outside the membership?+

AI touches almost every part of a business, but this is not a catchall IT or AI support service. If a request requires expertise, infrastructure, access or ongoing support that falls outside what I can responsibly own, I’ll tell you early. Where useful, I can still help define the problem, scope the work and make the handoff clearer. The goal is not to say yes to everything. It is to own the work I can do well.

Are software and API costs included?+

The membership covers my work and the production system. Paid software, API usage, hosting, media, printing, contractors or other third-party costs remain separate and are approved before purchase.

Do you train our team on AI?+

Yes. Training and enablement can go into the queue like any other request. That might mean a team workshop, role-specific working session, workflow walkthrough, prompt system, documentation, playbook or helping employees understand and use the tools and automations we build. The goal is not just to deliver AI systems, but to improve comprehension and adoption inside the organization.

What about meetings and weekends?+

The service is async-first so time goes toward output instead of recurring meetings. Calls are used when they materially move the work forward. Weekend production and priority access can be added separately.

Systems behind the work

I am not starting from a blank prompt every time.

Over the past several years I have built my own internal tools for identity, brand, content, planning, research and production. They give client work a head start when they fit. They are infrastructure, not the product you are buying.

The rule is simple: use what exists, build what is missing, and keep the client problem at the center.

Identity layerBNA72

A 72-archetype system that provides structured identity and behavioral context.

Brand layerBrandNew

Turns identity, audience and positioning inputs into brand strategy and usable brand systems.

Content layerContentGen

Uses Voice DNA and identity context to create repeatable, on-brand content production.

Execution layerMomentum

Converts strategy into a structured 90-day production and execution plan.

One intelligence layer. Multiple production capabilities.

These systems remain part of my internal production stack. They do not each need to be separate case studies for you to understand the work.

Start with the real need

You do not need an AI roadmap before we talk.

Bring the friction, opportunity or piece of work you know should be moving better. I will use the fit call to determine whether See Kirk Work is the right way to attack it.

Book a 15-minute fit call