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What automation actually saves you
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200+ prompts, ready to ship
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Orders land in email, get re-typed into your contact list, copied to a spreadsheet, pinged to Slack. Every step is a human moving data between apps that don't talk. That swivel-chair tax is your whole ops cost, and it doesn't show up on any invoice.
Somebody on the team built a clever AI prompt. It impressed everyone in the demo and then died in a Notion doc. The gap was never the idea — it was wiring it into a real workflow with real data, error handling, and an owner. Experiments aren't systems.
The process runs because you (or your one senior operator) remember the steps. Nothing's documented, nothing's automated, and the day that person is sick or quits, the workflow stops. You don't have a business system — you have a person doing impressions of one.
Three years of SOPs, contracts, support tickets, and product docs sitting across Drive, email threads, and people's heads. New hires re-ask the same questions. Customers wait while someone hunts for the answer that already exists somewhere.
Inbound hits the system, gets classified, routed, drafted, logged, and escalated only when a human actually needs to decide. The repetitive 80% disappears. Your team is left with the 20% that needs judgement.
A RAG bot grounded in your SOPs, contracts, and product docs — answering in your voice, citing the source doc, and saying "I don't know" instead of inventing. New hires and customers get the right answer in seconds, not a queue.
Email, your contact list, spreadsheets, billing, and Slack wired into one pipeline so data is entered once and flows everywhere. No more copy-paste between apps, no more two versions of the truth.
One screen showing what the system processed, what it escalated, and what it saved you. Plus Loom walkthroughs and runbooks so your team operates and edits it without me. You own the system, not a dependency on me.
| With me | Typical AI consultancy / SaaS point-tool | |
|---|---|---|
| Who builds it | I build it. The person who scopes the system is the person wiring the nodes against your data. | A partner sells it, a junior or an offshore team builds it, and the strategy deck rarely survives contact with your real inbox. |
| Pricing | Public and fixed — $4,997 / $12,500 on the page above. Scope locked in writing before you pay. | Quote on request, billed by the hour or per seat, and the number climbs every time scope shifts. |
| What you get | A working system running your real workflow on your data — plus the dashboard, runbook and Loom handover. | A point tool that owns one narrow step, or a slide deck of what someone could build next quarter. |
| Who owns it after | You do. It lives in your accounts, your team can edit it, and the retainer is optional, not a leash. | The SaaS owns the logic and your data sits on their server; cancel and the workflow stops. |
| When it breaks | 30 days of post-launch support, then a fix window — you have the runbook and the source, so you're never stuck. | A support ticket in a queue, or a renewal conversation before anyone looks at it. |
| Team size | One founder. I take one serious build at a time, so there's a real ceiling on how much I can run in parallel. | A bigger bench and round-the-clock support — if you need five workstreams at once, that's a genuine edge. |
Three working sessions to find the one workflow that's bleeding the most hours, plus read-only access to the tools and data it touches. We pick the system by dollar impact, not by what's shiniest — and I tell you upfront what's realistic for AI today and what isn't. (Week 1)
The system gets built against your real data, in parallel with how you work now so nothing breaks. Agent logic, RAG retrieval, tool wiring, error handling, escalation rules, and the dashboard — all tested on live cases before anything cuts over. (Weeks 2-3)
Cutover only after the system runs clean on real volume. You get the dashboard, a runbook per workflow, Loom walkthroughs, and 30 days of post-launch support while your team takes the wheel. Built to be edited by your people, not chained to me. (Week 3-4)
An automated pipeline reads a shared logistics inbox, classifies each thread on five variables, drafts accent-safe replies, and never auto-sends to a CC'd executive — collapsing routine response time from three hours to twenty minutes and dispatcher load from four hours a day to forty-five minutes. The same audit-then-build discipline runs across every system engagement.
Same build, the part nobody screenshots: the CC-field misroute rate — replies firing at the wrong stakeholder — dropped from roughly 11% under the old Zapier setup to 0.4%. Three contractors before me had eroded their trust in automation; the fix was modelling the inbox as a five-variable gate before a single node, not a smarter prompt. Speed sells the demo, but it's the reliability that let them actually cut over.
Audit + 90-day roadmap + 1 system.
Full transformation — 3 systems + SOPs.
Fractional ops retainer.
30-min discovery call. I'll find the one workflow bleeding the most hours, tell you straight whether AI is the right fix, and have fixed scope back in 48 hours.
Book your free 30-min auditSame fixed-scope build, delivered remotely to any US state. Click your state for the local-vertical breakdown — agency rate benchmarks, dominant industries, state-specific compliance hooks and city-level intent we tune for.
California AI business-systems consulting is the most strategic work in our book. LA-area mid-market businesses and Bay Area scaling-startups want full ops blueprints — process mapping, tool-stack rationalization, automation prioritization, and a 90-day implementation roadmap. We deliver a 48-hour blueprint + 14-day implementation sprint. California's competitive local agency rates position our fixed-scope blueprint fee as a discount vs hiring a fractional COO. CCPA shapes any data-flow we recommend. Average California ai-business-systems engagement: fixed-scope pricing, fast turnaround. Highest-strategy state in our book.
Texas AI business-systems consulting splits between Austin tech and Houston/Dallas service-business + energy. Austin tech wants Bay Area-style blueprints at lower cost. Houston energy brings ops-rationalization at scale (consolidate 12 tools to 4). Dallas brings mid-market services. San Antonio and Fort Worth bring traditional SMB. Texas velocity shapes signed-SOW timing. Average Texas ai-business-systems engagement: fixed-scope pricing, fast turnaround.
New York AI business-systems consulting is Manhattan-heavy. Manhattan finance + boutique professional-services bring ops-rationalization briefs at the highest LTV in our book. Brooklyn DTC + fashion bring scale-stage ops blueprints. NY DFS-adjacent shapes finance blueprints. Average NY ai-business-systems engagement: fixed-scope pricing, fast turnaround.
Florida AI business-systems consulting is real-estate + hospitality + healthcare + senior-care. Miami real-estate brokerages want sales-ops blueprints. Orlando hospitality wants guest-comm + property-management blueprints. Tampa Bay healthcare wants patient-ops blueprints (HIPAA-considerate). Florida Digital Bill of Rights shapes data-flow. Average Florida ai-business-systems engagement: fixed-scope pricing, fast turnaround.
Illinois AI business-systems consulting is Chicago-centered. Chicago brings B2B SaaS, fintech, insurtech and legal-services ops-rationalization briefs. Naperville corporate parks bring mid-market industrial-ops briefs. BIPA shapes any biometric-data-flow recommendation. Average Illinois ai-business-systems engagement: fixed-scope pricing, fast turnaround.
Pennsylvania AI business-systems consulting is Philly healthcare + education + Pittsburgh industrial + robotics. Philly brings patient-flow + grant-tracking + multi-location ops blueprints. Pittsburgh brings B2B industrial + CMU-adjacent robotics ops briefs. PA's longer procurement cycle shapes engagement timing. Average PA ai-business-systems engagement: fixed-scope pricing, fast turnaround.
Ohio AI business-systems consulting is operational. Columbus, Cleveland, Cincinnati, Dayton all bring service-business + industrial-services ops-rationalization briefs. Cincinnati CPG-DTC brings consumer-brand ops blueprints. Ohio's competitive local agency rates keeps our fixed-scope pricing feeling sharp. Average Ohio ai-business-systems engagement: fixed-scope pricing, fast turnaround.
Georgia AI business-systems consulting is Atlanta-centric. Atlanta brings B2B fintech, dental DSO multi-location ops, aesthetic-chain expansion-ops, real-estate team-ops and Trilith-adjacent vendor-management briefs. Atlanta fintech alumni network brings sharper buyers. Savannah hospitality brings property-management briefs. Augusta brings smaller SMB. Average Georgia ai-business-systems engagement: fixed-scope pricing, fast turnaround.
Also serving — all 48 states