00 / Practical AI implementation

We build the AI systems your team will actually use.

We turn your team's scattered AI experiments into workflows that hold up on Monday morning. Fixed scope, fixed price, clean handoff.

01 / Problem

AI activity is high, but the infrastructure is missing.

Most teams we talk to have the same pattern:

Weekend tinkering
The owner is tinkering on weekends and dropping new tools on the team Monday morning.
Trapped prompts
The marketing director's best prompt is stuck in her ChatGPT history. The head of sales can't build on it.
Stacking subscriptions
Subscriptions keep stacking. Some get used. Most don't.
Volume without results
More gets generated. Nothing gets finished any faster.
No change after 18 months
18 months in, Monday morning looks exactly the same.

The problem isn't access to AI. It's that nobody is building the operating layer underneath it.

02 / What we do

We don't stop at the strategy. We build it.

You get the strategy. You just don't get left to execute it alone. No deck in a drawer, no 60-page roadmap obsolete before it lands on your desk.

We map the workflows your team actually runs: proposals, intake, support, reporting, internal knowledge. We identify where AI creates real time savings, where it adds risk, and where it should stay out of the way. Then we design, build, document, train, and hand it off.

Fixed scope Fixed price you can see on this page Defined exit Your team owns it

03 / Who this is for

Built for operationally busy companies.

5–100 person businesses (founder-led, partner-led, or PE-backed) where:

Unstructured use
Employees are using AI without structure
Scattered knowledge
Knowledge lives across drives, inboxes, and people's heads
Admin overload
The team is drowning in admin, document, intake, or reporting work
Real help wanted
Leadership wants AI to actually help, not become another tool to manage

We're not the right fit if you're after no-human-review automation, a cheap pair of hands to build a pre-written spec, or a strategy deck with nothing built at the end.

04 / Offers

Every engagement priced and scoped here.

No discovery call required to know what it costs.

Best first step 01

AI Working Call

$250 / 60 min

Paid at booking.

Bring a real task or workflow you want to improve with AI, and we work through it together, live and hands-on. You leave with actual progress on it, not just a diagnosis.

You leave with

Hands-on progress on the thing you brought, plus a short written note: where AI fits next, the obvious risks, and an honest recommended step (DIY, an audit, an implementation, or nothing at all).

Book an AI Working Call
Main diagnostic 02

AI Opportunity Audit

From $2,500

Know exactly what to build, in what order, and what each piece will cost, before anyone spends money building the wrong thing. We rank the opportunities, flag what to avoid, and deliver a 30/60/90-day roadmap with implementation paths costed.

Scope

Focused: one workflow or team
$2,500
Standard: multi-workflow
$7,500
Expanded: multi-department
$12,500

Your audit fee is credited in full toward an Implementation Sprint if you start within 90 days.

See what an audit delivers
Book an AI Working Call
Build phase 03

AI Implementation Sprint

Typically $25,000–$50,000

Design, build, document, and hand off one or more AI-enabled workflows. Examples: internal knowledge assistant, proposal or quote drafting, intake triage, sales or reporting automation, team enablement.

You receive

A working system, documentation, team training, and a 30-day post-launch support window. Then we leave.

Ask about a Sprint

No lock-in: We don't sell open-ended retainers. After we've built something, you can add a capped support plan: $1,500 a month for two working sessions, month to month, cancel anytime.

05 / Where AI usually helps

Examples of useful AI inside operations.

Proposals in hours, not days.
Intake notes, service details, and pricing logic into structured first drafts.
A wiki that doesn't go stale.
Internal assistant trained on your SOPs, sales material, and project notes.
Cleaner intake.
Inbound requests classified, triaged, drafted, and routed, so nothing sits unanswered.
Consistent support.
Drafted responses using approved knowledge and customer context, so answers stay consistent and on-message.
Quieter inboxes.
Meetings, documents, and threads turned into action items.
Sales activity that doesn't slip.
Notes summarized, follow-ups drafted, records enriched, stale deals flagged.
Reporting that runs itself.
Recurring activity compiled into management reports.
Consistent AI use across the team
Rules, templates, training, so the work stops being chaos.

06 / Process

From strategy to working system in three steps.

  1. Step 01

    Identify.

    We map the workflows where AI actually saves time, and the ones to skip.

  2. Step 02

    Build.

    We design, implement, and document the system. Your team is involved enough to own it after.

  3. Step 03

    Hand off.

    Training, documentation, 30 days of post-launch support. Then we leave.

07 / Credibility

Built by operators, not consultants.

We don't hand you a deck and leave. We do the strategy and build the system. Fixed scope, fixed price you can see on this page, no lock-in. Engagements end with a working system, documentation, training, and your team owning it.

Behind the work: 11+ years of production software engineering across APIs, business systems, automation, and AI workflows. We do both the strategy and the engineering. The case studies below are the proof: real systems, in production, owned by the teams we built them for.

Bryan
Alex

You work directly with the people who build the system, Bryan and Alex. No account managers, no handoffs.

08 / FAQ

Common questions

Where should we start?
With something real. Bring a workflow or task you'd want AI to help with and we work on it together on the Working Call, live. 60 minutes, hands-on, with an honest recommendation on what to do next.
Is this strategy or implementation?
Both. We figure out what to build, in what order, and what to skip, then we implement it: automations, internal assistants, workflow systems, integrations, documentation, and team rollout. Training is part of it. The strategy ends in a working system, not a slide deck.
Do you work with our existing tools?
Yes. We build on top of the tools already running your business, your email, documents, CRM, spreadsheets, and the rest, through their normal connections. No platform migration, and nothing to rip out and replace.
How do you handle sensitive data?
We identify what data is involved, which tools may touch it, and where human review is required. Practical governance is part of every engagement, not a substitute for legal or enterprise security review.
How much of our team's time does this take?
Less than people expect. We need context on the workflow and access to the right examples and systems, usually a few hours from the people who know the work, plus review at a handful of checkpoints. We do the design and the build.
Do you offer ongoing support?
Yes, capped. We don't sell open-ended retainers, because they reward the relationship lasting, not the work getting done. Every build ends with a working system your team owns. If you want continued help after that, you can add a support plan: $1,500 a month for two working sessions, month to month, cancel anytime.
What types of businesses are a good fit?
Operationally busy 5–100 person businesses with real document, communication, intake, reporting, or knowledge workflows. Founder-led, partner-led, and PE-backed all work.

09 / Start here

One focused session is the first step.

You don't need a months-long strategy project to start. Bring one real problem, get hands-on help in one session, and leave with one clear next step.