AI workflows that
survive Tuesday
at 11pm.
The real gap in AI consulting isn’t the model. It’s the workflow design, the prompt engineering, and the operating discipline around it. Promptmaxxing closes all three — installed in six weeks, managed monthly.
Industry studies put the AI implementation failure rate at 70–80%. We build to be in the 20%.
Every workflow we install is versioned, edge-case tested, and watched. New tuned workflow shipped each retainer month.
We take a small cohort each quarter. The free audit is where we figure out fit.
The real problem in AI consulting isn’t the AI.
It’s the workflow design, prompt engineering, and operational discipline around it. Four failures show up in almost every install we audit. Four practices most AI agencies skip. Promptmaxxing closes all four.
Across multiple industry studies, the AI implementation failure rate sits between 70% and 80%. The cause isn’t model quality — it’s everything around the model.
Most agency builds work great on the happy path and crumble the first weekend. Prompts aren't versioned. Edge cases aren't tested. Fallbacks don't exist.
Every prompt versioned in source, tested across an edge-case suite, shipped with structured fallbacks. We treat prompts the way engineers treat code.
Operators end up with seven AI logins instead of one workflow. Each tool solves a slice; nobody designs the whole route from lead in to revenue out.
We map the end-to-end operator route — lead → response → qualification → booking → revenue → reporting — and design AI as the connective tissue.
Install ships, agency disappears, install decays. No monitoring, no prompt regression, no monthly tuning. Six months later, half the workflows don't fire.
The retainer ships a new tuned workflow each month. Old prompts get re-tested as models change. Drift caught early. Six months in, the install is better than at handoff.
Out-of-the-box LLMs don't know your business. They need ops-specific context, structured fallbacks, and operator-voice copy. Most installs skip all three.
Voice transcripts, SMS threads, prompt outputs, agent decisions — all logged, all reviewable. You see exactly what the AI said, when, and what it cost. No black boxes.
Audit. Build. Operate. The same sequence for every operator — no discovery-call theater, no scope creep, no install left to decay.
We map what’s leaking.
Missed calls, slow lead response, dead pipeline, dashboards nobody reads. You submit your URL plus a few inputs; we return a one-page report — workflow leaks, opportunity map, ROI estimate. We talk pricing only if there’s a real fit.
We design the workflows, not bolt on tools.
Week 1: roadmap signed off. Weeks 2–4: AI workflows built end-to-end — receptionist, SMS, dashboards, follow-up. Production-grade prompts versioned and edge-case tested. Weeks 5–6: launch, train your team, hand off the operating manual.
Your AI Ops Lead, on retainer.
New tuned workflow shipped each month. Prompt regression watch. Agent monitoring with fallback alerts. Monthly exec-level review. The reason most AI installs decay — no one operating them — solved by an actual operator.
Five surfaces. One workspace. Built so nothing routes through a second login.
Every call answered, 24/7.
An LLM-powered phone agent qualifies leads, books calendar slots, transcribes the conversation into the CRM, and hands the messy calls back to you with a one-line summary. No more after-hours voicemails dying in a black hole.
Eleven seconds, first reply.
Web form, ad form, Google LSA — every channel hits the same operator-voice auto-responder. Speed-to-lead is the single biggest predictor of close rate in service businesses. We design the cadence; the agent runs it.
The numbers you actually act on.
Pipeline, revenue, response time, attribution — surfaces that answer the next question instead of generating more questions. Tabular-nums, real time, no chartjunk.
Multi-state tax, bundled.
Schedule C mapping, S-corp election ROI, 1099 vendor tracking, retirement contribution optimizer, multi-state deadline tracking across Federal + 10 states. Bundled free Year 1 with every Operator Stack install.
Booked revenue flows back to your campaigns.
The thing every agency promises and nobody wires up. Booked-revenue attribution loops back into Google + Meta so paid spend optimizes against jobs closed, not form submits.
Four ways to find out if there’s a fit — before any conversation.
AI Operator Audit
Five inputs. Custom AI opportunity map for your operation. ROI estimate, top three workflows to install first.
Missed-Call Revenue Calculator
Five inputs return your weekly and annual leak from missed calls — plus a conservative recovery estimate.
Speed-to-Lead Scorecard
Submit your URL. We test web form response, GBP, chat UX, auto-responder quality. Graded A–F with a fix list.
Tax Diagnostic
Estimate Schedule C savings, S-corp election ROI, retirement optimizer impact. Real numbers, not calculator clickbait.
Pricing’s a conversation, not a price tag.
Install and retainer are tailored to your operation — revenue band, current stack, team size, complexity. The free audit is where we figure that out together. Two paths, no surprises.
Install — the system, in 6 weeks.
- Audit + roadmap signed off in week 1
- CRM, voice receptionist, SMS, dashboards built in weeks 2–4
- Launch, train, hand off operating manual in weeks 5–6
- BudgetMaxxing tax engine bundled free Year 1
Operator Retainer — your AI Ops Lead, on retainer.
- One new workflow shipped per month
- Voice + SMS agent monitoring and tuning
- Monthly exec-level AI strategy review (async or live)
- Priority Slack + Loom support
- The install is yours either way
- Custom model training
- Deepfake or content detection systems
- Multi-tenant SaaS rewrites
- Mobile app builds
- Cold-email-spray outbound systems
Listed explicitly so we don’t waste your audit slot. If you’re unsure whether something fits, ask.
Stop running your business out of seven tabs.
Start with the free audit. Same-day report. Pricing only comes up if there’s a fit.