Donemark — Refit your service business for the AI era

The problem

AI is becoming powerful and accessible — and most service businesses are figuring it out one staff member at a time, one tool at a time, one proposal at a time.

Native AI platforms are now moving directly into the tools service firms already use — accounting, email, documents, CRM, contracts, and creative work. The question is no longer whether AI can help. The question is which workflows to refit first, what should stay human-reviewed, and how the team adapts without losing customer trust.

Owners are left asking the same five questions:

What should we automate, and what should stay human?
Which tools and platforms should we standardize on?
How do we protect customer trust and our reputation?
How do we keep margins as competitors get faster, too?
How do we train the team without slowing down the work?

We work with owners who want concrete answers, not slide decks.

What this looks like

We work with owner-led service firms — bookkeeping and fractional-finance practices first. Each item below is an illustration of the kind of workflow a refit pilot might address, not a product you buy off a shelf.

Overdue-invoice follow-up Reminders drafted from your accounting export or aging report, written in your voice, queued for owner approval before sending.
Recurring client status updates The weekly or monthly “here’s where we are” email, drafted and ready for owner review before it goes out.
Meeting notes to follow-up Call transcripts turned into action items, an owner-reviewed follow-up email, and updates to the right client record.
New-engagement intake Incoming leads classified and summarized, with a first-draft engagement note the owner approves before it goes out.
Weekly owner brief A short, structured digest of what happened across clients and projects, delivered with the recommended next moves.
Service delivery QA A quality check on outgoing work — tone, scope, consistency — before it lands with the client.

If your firm has a workflow that you keep saying “we should clean this up someday” about — that’s usually the first refit candidate.

Start here

The Outside Read

$950 flat · one workflow · five business days

Pick one workflow in your firm: month-end close, client onboarding, payroll runs, AR follow-up, whichever one eats the most hours. In five business days you get a short written read of that workflow: where AI touches it today through your existing tools or where it is about to, what should stay under your review and why, and a one-page written standard for how the work gets done. We walk through it together on a 45-minute call. The document is yours to keep, share with your team, or ignore.

A written read of the workflow (3 to 5 pages): what is changing, what should not.
The one-page written standard: the rules, the checkpoints, and who approves what.
A 45-minute readout call to walk through it together.
No client data needed. We work from your process descriptions, never your client financials.

Book your intake call

No discovery phase, no proposal, no follow-on obligation. If you take the full Assessment within 30 days, the read’s fee credits toward it.

What Donemark does

After the Outside Read: three ways to go deeper.

1 Next step · Diagnostic

AI Shockwave Assessment

2 weeks · $3,500 flat

A short, fixed-scope diagnostic. What’s in it:

A workflow exposure map — where AI is already in informal use across your team, and where that’s a risk.
An opportunity map — the highest-value places to apply AI first.
A risk map — what data goes where, and what should stay human-reviewed.
The first three recommended changes — ranked by effort and impact.
A 30-day action plan.
An ROI estimate for the top one or two opportunities.

2 Proof point

30-Day AI Refit Pilot

30 days · fixed fee

We pick one or two workflows worth changing, redesign them around an approval-first AI step, train your team, ship the workflow, and measure the result. What’s in it:

One or two workflow refits.
The prompts and templates to run them.
Written approval rules and staff instructions.
A before-and-after measurement readout.

3 Operating partner

Managed AI Operating Partner

monthly retainer

We watch the AI surface for you. Each month:

A platform-update briefing.
A workflow review with tuning.
Prompt and process updates.
An ROI checkpoint.
One specific recommended next move.

We recommend starting with the Outside Read: one workflow, $950, five business days. Whether the right next step is the Assessment, a Pilot, a retainer, or no further work depends on what the read finds together with you.

How it works

Map your workflows and exposure. Where the time goes. Where AI is already in informal use. Where the firm is most exposed — for better and worse.
Pick the highest-value first changes. We rank opportunities by effort and impact. We say no to the ones that look exciting but won’t move a number.
Implement one or two practical workflows. Real workflows, using the data sources you already control, with real approval rules. Built to be run by your team, not by us.
Train the team and define approval rules. Written process, prompts, templates, and clear “what AI does / what we review” boundaries.
Measure results and adjust monthly. Before / after numbers. A monthly review of what changed in the AI landscape. A short list of recommended next moves.

The AI Shockwave

The model the Assessment is named for — Donemark’s working picture of how AI lands inside owner-led service firms over the next 12–36 months. Each phase describes what the model expects across the market, not a fixed path for any single firm.

01
Productivity burst

Individuals find AI saves time on day-to-day work.
02
Shadow AI sprawl

AI use scatters across the team — different tools, different prompts, no shared rules.
03
Competitive compression

Speed and price pressure becomes worth monitoring.
04
Role / pricing redesign

Some service lines need repackaging; some roles change shape.
05
AI-native operating rhythm

A monthly cadence absorbs each new platform change.

Stance

Vendor-neutral

We use the best available tool for the job — Claude, ChatGPT, Codex, your existing systems, or a private managed workflow when needed.

Donemark is not reselling a single AI vendor and is not building a walled-garden platform. We pick the right tool for the workflow, document why, and make sure your team can use it consistently.

When a customer has a real privacy or governance need, we can stand up a private, governed workflow runtime — but we lead with the simplest setup that actually solves the problem.

Human-control

AI assists. Owners and staff approve. Workflows are measured. Customer trust stays central.

We do not ship workflows that send customer-facing communication without human review unless the customer has explicitly asked for it and we are comfortable with the risk profile. The default is approval-first.

We define what to measure up front and report against it. The categories we measure: time-on-task, quality, error rate, customer response time. If we cannot measure it, we do not call it a win.

Founder note

Donemark is an Austin-based practice built from real operator experience — running automation, AI workflows, and service operations through their messy parts. We know what it feels like when a slow process starts moving fast, and we know why customer-facing AI needs clear review boundaries.

Donemark is not a generic AI hype shop. It is an operating partner for owner-led service firms who want to absorb the AI shockwave into real practice — on purpose, with their team, and without losing the customer trust they have spent years building.

Refit your service business for the AI era.