An Advisor Who Installs Working AI, Not a Consultant With a Deck
AI Automation Advisor
If you searched for an AI automation consultant, here is the honest pitch. A consultant studies your business and hands back a recommendation. An advisor learns your business, defines the scope it actually needs, and installs the agents and workflows in production. We are the second one. Every engagement ships with a written success metric and a fixed timeline.
Advisor, Not Consultant
A consultant produces a report on what you should do with AI. An advisor installs it. We sit inside the business, define the workflows that move the number, build the agents and integrations, run them in production, and train the internal owner who keeps them running. The engagement ends with a live system, not a slide deck.
Direct Answer
An AI automation advisor learns your business, defines the scope it actually needs, and installs the agents and workflows in production. Unlike a consultant who hands back a report, an advisor ships a live workflow. Fixed-price entry points are a $9,500 Diagnostic and a $7,500 radstart workflow install. The first workflow typically goes live in three weeks.
Ideal Fit
Who This Is For
Operators at $1M to $50M who have tried AI pilots that never shipped
Teams drowning in repetitive document, email, or routing work
Sales and support functions losing speed to manual handoffs
Service businesses with predictable workflows ready to be productized
Healthcare, legal, and accounting practices under throughput pressure
Private equity backed companies under a margin expansion thesis
Impact
Expected Outcomes
A live AI workflow inside production, not a proof of concept
A documented integration with your CRM, ERP, or core system
A measured baseline and post install metric for every workflow
Cost per workflow tracked monthly so payback is provable
An internal owner trained to operate the system after handover
A roadmap for the next two to three workflows in priority order
Deliverables
Key Deliverables
AI opportunity audit ranked by payback and risk
Agent and workflow architecture documentation
Production build with integrations to your existing systems
Test plan, edge case coverage, and security review
Internal training and operating runbook
Monitoring dashboard with usage, cost, and outcome metrics
30, 60, and 90 day governance review cadence
Roadmap for the next workflows with effort and impact estimates
How We Work
Engagement Models
Diagnostic ($9,500, 2 weeks)
Structured review of operations, data, and team to surface the 3 to 5 highest leverage AI opportunities with effort and payback estimates.
radstart ($7,500, 3 weeks)
One high value workflow installed, integrated, and documented in three weeks. Fixed price, fixed scope, production live at handover.
Program (60 to 180 days)
Multiple workflows installed in sequence, governance cadence, and ongoing optimization. Priced after Diagnostic.
Govern (Ongoing)
Monthly oversight, expansion roadmap, vendor management, and security review. For teams running multiple AI systems.
Fixed price entry points are the $9,500 Diagnostic and the $7,500 radstart. Larger programs are priced after the Diagnostic so the scope is grounded in evidence.
Proof
Proven Results
At a Glance
How AI Automation Advisor Compares
| Advisor (us) | Traditional Consultant | AI Agency | In-House DIY | |
|---|---|---|---|---|
| Entry cost | $7,500 radstart fixed | $25K–$150K project | $50K–$300K + retainer | Tooling only + staff time |
| Ends with | Live workflow in production | Recommendation report | Built system, ongoing dependency | Whatever the team can ship |
| Time to first live workflow | 3 weeks (radstart) | 8 to 16 weeks to plan only | 8 to 20 weeks | Unpredictable |
| Internal owner trained | Yes, required at handover | No | Often no | Yes, by default |
| Cost per workflow tracked | Yes, monthly | Out of scope | Sometimes | Rare |
| Security and governance review | Yes, included | Sometimes | Yes | Depends on team |
What we install, system by system
Automation here is not chatbots for the sake of chatbots. It is workflow automation, intelligent routing, predictive analytics, and AI-augmented decision support wired into the operations you already run. The builds that come up most often are automated intake, routing, and triage so leads and tasks reach the right person immediately; CRM and pipeline intelligence covering automated follow-up, lead scoring, and deal insight; customer communication automation for faster and more consistent response; AI reporting dashboards that give leadership real-time operational visibility; and predictive capacity planning so you see demand before it lands.
Underneath those sits integration architecture, meaning the connective work that turns separate tools into one automated system, plus an adoption playbook and training so the team actually uses what gets built. Teams that skip the adoption piece end up with working software nobody opens.
Results teams see after install
Across installed workflows, the recurring numbers are a 60 to 80 percent reduction in manual data entry, roughly 14 hours per week returned to a professional services team after intake and routing were automated, response times three times faster on AI-handled customer communications, and 80 percent fewer manual entries following a CRM automation and integration build. Most engagements pay for themselves inside 60 to 90 days on efficiency alone, before any revenue effect from faster response and better pipeline visibility.
If you already paid for a consulting report
Bring it. We validate the recommendations, adjust scope where the report is light on operational reality, and install the result. That is one of the most common ways these engagements start, and it usually shortens the Diagnostic rather than repeating it.
Ongoing systems leadership
Some teams want a standing seat rather than a project. That model runs one to two days per week of AI systems leadership: continuous optimization of live workflows, new automation builds in priority order, vendor management, and roadmap execution. It fits companies already running several AI systems that need someone accountable for all of them. Scope and price are set after the Diagnostic, so the seat is sized to real work.
Questions
Frequently Asked Questions
Are you a consultant or an advisor?
An advisor. A consultant produces a recommendation and hands the work back. We define the scope your business needs and install the agents and workflows ourselves. The engagement ends with a live system, not a report.
What does this cost?
Our entry points are fixed price. The Diagnostic is $9,500 and a radstart workflow install is $7,500. Larger programs are scoped and priced after the Diagnostic so the number is grounded in real workflows.
How long until something is actually live?
A radstart workflow runs three weeks from kickoff to production handover. Larger programs typically deliver the first live workflow inside the first 30 to 45 days.
What platforms do you build on?
We are platform agnostic. We regularly use Claude, GPT, n8n, Make, Zapier, Retell, Vapi, and custom code. We choose for fit, cost, and your team's ability to maintain it.
Will my team be able to operate this after you leave?
Yes. Handover is part of every engagement. You receive runbooks, a monitoring dashboard, and a training session. We are not building work that requires us forever.
How do you measure success?
Every workflow has a written baseline metric and a target post install metric, agreed before work begins. Cost per workflow is tracked monthly so payback is provable on a spreadsheet.
Do you handle security and compliance?
Yes. Every engagement includes a security and governance review. Healthcare work includes a HIPAA posture review and data handling design.
How do I know if my business is ready for AI automation?
If your team spends significant time on repetitive work such as data entry, routing, follow-up, and reporting, you are ready. The Diagnostic assesses current processes, data quality, and tool stack to find the highest-leverage opportunities. You do not need to be a tech-forward company to benefit.
What is the ROI of AI automation?
It varies by scope, but typical results include a 60 to 80 percent reduction in manual data entry, 10 to 15 hours saved per team member per week, and response times two to three times faster. Most engagements pay for themselves within 60 to 90 days on efficiency gains alone.
What happens if I already have a consulting report?
Bring it. We validate the recommendations, adjust the scope where the report is light on operational reality, and install the result. That is one of the most common ways these engagements start.
How do you handle data privacy?
Least-privilege access, encrypted connections, and alignment with your existing data policies. We never train external models on your proprietary data without explicit consent and documented controls.
Ready to Get Started?
Book a complimentary diagnostic call to discuss your challenges and explore how ai automation advisor can drive measurable results.