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this is happening right now

$650K
average ai-related breach cost
IBM, 2025
$75M
largest us ai-related ftc fine
FTC, 2025
37%
of companies had agent failures last year
Digital Applied, 2025
88%
of ai projects never reach production
Digital Applied, 2025

you can't afford to build the wrong thing first.

scattered context, mapped. unmonitored agents, surfaced. the safest first workflow, ranked. a clear, accountable plan — before you build.

their way

diy ai experiments that stallmonths
a build pointed at the wrong workflowwasted
scattered context, redone by handevery week

months of effort with no accountable plan

your way

readiness sprintcustom quote

scoped to your workflows. an implementation-ready plan in 1-2 weeks. advisory only — no production access.

you'd have a ranked, evidence-backed view of where ai belongs before anyone builds a thing — for a fraction of what trial-and-error costs.

ai workflow readiness sprint

turn scattered ai use into accountable workflows

we map where your business context lives, identify the safest high-leverage ai workflow, define human review boundaries, and give your team an implementation-ready handoff — without locking your company inside another tool. advisory only: no production access or credentials required.

want to understand the architecture first? start with the self-serve playbook

what the engagement looks like

phase 1 — intake & map

structured intake

a questionnaire, your tool list, and anonymized samples. no production access or credentials needed. agent-assisted analysis maps where your context lives and ranks workflow opportunities by leverage, risk, and human-review need.

phase 2 — design & guardrails

workflow design and guardrails

for the safest high-leverage workflow we define the guardrails: what ai may do, what needs human approval, what data is excluded, who owns final judgment, and what proof to retain. you get a first-workflow design and a prompt/template pack — yours to keep forever.

phase 3 — handoff

implementation-ready handoff

a readiness and risk score, an ai-usage policy-lite, a proof standard, and a 30-day roadmap your internal team or a vendor can execute. implementation itself is scoped separately — it is not included in the sprint.

how we scope it

engagements are scoped to your workflows. pricing reflects complexity, not hours. you tell us where ai is showing up in your business. we tell you what the sprint would take.

50% at signing, 50% on delivery.

what you walk away with

an implementation-ready plan your team can execute. every workflow opportunity ranked by leverage and risk, clear human-review boundaries, and a proof standard behind every recommendation.

how it starts

  1. you send a message. we ask a few questions to see if it's a fit.
  2. if it is, you get a scoped proposal and payment link. no calls, no demos, no calendly.
  3. work starts within a week. the readiness sprint is typically delivered in 1-2 weeks.
  4. you walk away with an implementation-ready handoff. implementation, if you want it, is scoped separately with your team or a vendor.

who this is for

owner-led b2b service teams with messy, scattered context and expensive follow-up failure. agencies, bookkeeping and advisory firms, brokerages, recruiting shops, and managed service providers who know ai belongs somewhere in their workflows and want it mapped, guardrailed, and made accountable — before anyone builds anything.

i take 2-3 clients at a time. limited availability by design.

submit for quote

built by someone running 30+ live services across 4 businesses. not theory — the same architecture we use every day.

no calendly. no demos. just a conversation.