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For established businesses with one costly workflow

Fix one expensive workflow with AI in 30 days.

I spent 20+ years building software and more than a decade as a vertical-SaaS CTO. Now I help businesses remove administrative drag from the tools and processes they already use—without hiring an AI team or replacing their whole stack.

30-Day AI Operations Sprint$7,500 fixed
Submit Your Workflow →Get the Fit Checklist

Start by sharing the workflow. If it looks feasible, I will schedule a 15-minute fit call and give you a direct recommendation.

Brian Robison
Brian Robison20+ yrs software · 10+ yrs SaaS CTO/VP
The fit

Your business already runs. One workflow should run better.

This sprint is for service teams doing the same administrative work every week inside software they already use. The opportunity is not “add AI everywhere.” It is to improve one frequent task in a way people can understand, control, and adopt.

  • Lead response

    Qualify, route, and respond to new inquiries before a good lead goes cold.

  • Estimates and proposals

    Turn requests, field notes, and job details into a strong first draft for human approval.

  • Customer updates

    Create timely status updates from the operational records your team already maintains.

  • Field documentation

    Convert notes, photos, forms, and job details into consistent reports and next actions.

  • Document collection

    Track missing forms, certificates, approvals, and paperwork without constant manual chasing.

  • Billing follow-up

    Surface exceptions and draft routine payment follow-ups while keeping a person in control.

The sprint improves one repeated workflow with a clear owner, input, output, approval path, and success measure. It is not generic AI training or a company-wide transformation.

The problem

AI is cheap. Operational change is not.

Useful operational AI depends on context, permissions, failure handling, evaluation, human control, and integration with the workflow people already use. A promising demo still fails when those operational details are left unresolved.

  • Nobody measured the current workflow, so there is no honest baseline for success.
  • The context needed to act is scattered across software, documents, inboxes, and people.
  • The happy path ignores approvals, exceptions, logging, and a safe fallback.
  • The business cannot provide approved access, exports, or help from the person who manages the tools.
The engagement

30-Day AI Operations Sprint

$7,500 fixed
50% to begin · 50% at the agreed handoff
Up to 60 consulting and implementation hours over four weeks
  1. Week 1

    Map and measure

    • Select one costly, repeated workflow and its owner
    • Measure the current time, touches, response speed, backlog, or error rate
    • Map decisions, exceptions, approvals, data, and system constraints
    • Confirm approved access, privacy boundaries, and the delivery plan
  2. Week 2

    Build and connect

    • Build the agreed assistant or automation
    • Connect up to two existing tools or approved exports
    • Add human approvals, logging, error handling, and a safe fallback
  3. Week 3

    Evaluate and refine

    • Pilot with representative examples supplied or approved by the client
    • Compare the new workflow with the Week 1 baseline
    • Fix exceptions and train the people who will use or own the system
  4. Week 4

    Release and hand off

    • Deliver the agreed live release or production-ready handoff
    • Report the measured result without inventing ROI
    • Document operation, costs, limitations, ownership, and known risks
    • Deliver a prioritized recommendation for the next operational bottleneck

Included

  • One repeated operational workflow with one accountable owner
  • A baseline and one agreed outcome measure
  • Integration with up to two existing tools, APIs, or approved exports
  • Evaluation examples, human approvals, logging, and failure handling
  • Documentation, training, and handoff
  • Fourteen calendar days of post-handoff bug fixes for defects within the agreed scope

Not included

  • A replacement platform or major software migration
  • Multiple unrelated workflows
  • Generic AI training or a company-wide transformation
  • Third-party subscriptions and usage fees
  • Custom foundation-model training
  • Major data cleanup or migration
  • Formal security, privacy, or regulatory certification
  • Twenty-four-hour operational support
  • Unlimited revisions
  • Ongoing product development after the agreed sprint

I accept the sprint only after a written fit review confirms that one useful workflow can be delivered responsibly within the existing operation, available access and data, client responsiveness, and 30-day constraint.

Submit Your Workflow →
Selected work

Products and systems I have shipped

Autoshop DVI and the AI Writing Assistant were built while I served as CTO/VP at a vertical SaaS company, not as System Prompt AI consulting engagements. HeyMotion, editorr and LyricLeak are products I built independently. The AI Receptionist is a working demonstration, not a client deployment. No customer results are claimed for any of it.

  • Autoshop DVI

    A digital vehicle inspection product built for automotive service workflows.

    Product design · Workflow design · Full-stack delivery

  • AI Receptionist Demonstration

    Additional technical demonstration

    A working voice, chat, and calendar-booking demonstration built to explore conversational AI, telephony, qualification, and scheduling workflows.

    Voice AI · Telephony · Calendar integration

    View the Demonstration →

  • AI Writing Assistant

    An embedded AI writing assistant built to help people turn rough notes into clearer, more professional customer communication inside an existing workflow.

    Embedded AI · Product integration · Production delivery

  • HeyMotion

    A browser-based motion-graphics product that lets creators establish their brand once and produce reusable animated assets.

    Product design · Full-stack development · Creator workflow

    View HeyMotion →

  • editorr

    An online proofreading and copy-editing platform that routes written work to professional human editors, sold as pay-as-you-go word packages rather than a subscription.

    Marketplace · Full-stack development · Ordering workflow

    View editorr →

  • LyricLeak

    A music discovery site built around the stories behind songs, with search, AI-written song meanings, audio previews, and saved favorites.

    Product design · Full-stack development · AI content

    View LyricLeak →
Brian Robison
The builder

Technical leadership and implementation in the same person.

I am Brian Robison. I have more than 20 years in software and spent 10+ years as a CTO/VP in vertical SaaS. My work has included product strategy, architecture, engineering leadership, and hands-on implementation. I built System Prompt AI around a simple operating principle: choose a narrow problem, ship the working system, document it, and leave the client able to own what was built.

20+ years
in software
10+ years
as a SaaS CTO/VP
Hands-on
product, architecture, integration, and AI delivery

Based in San Diego and available for in-person working sessions with local teams.

Tools are selected for the client’s existing operation and constraints. Relevant experience includes Python, Node, AWS, OpenAI, Anthropic, APIs, automation, data workflows, and integrations.

Follow System Prompt AI on LinkedIn
Free self-check

The AI Operations Fit Checklist.

Check the seven items below. If they are all true, the workflow may fit a focused 30-day implementation sprint. The red list shows the common reasons to stop or narrow the idea first.

Check all seven
  • An established business with employees doing the work
  • One repeated workflow creates delay, rework, missed follow-up, or administrative drag
  • An owner, founder, president, or operations leader owns the decision
  • Admin access, an API, an approved export, or help from the system owner is available
  • Representative test inputs can be used legally and safely
  • $7,500 budget is approved
  • Team can respond to questions and reviews during the four weeks
Not a fit
  • An idea with no live workflow, users, or operational owner
  • “Add AI everywhere” without one workflow
  • Generic AI training, content production, or a company-wide audit
  • A project spanning several departments or unrelated workflows
  • A project requiring unverified legal, clinical, financial, or regulatory conclusions
  • No system access, test data, decision-maker, or budget
  • A request for speculative unpaid design work before qualification
FAQ

Questions, answered.

What exactly is an AI operations workflow?
It is one repeated business process improved with an assistant or automation inside the tools your team already uses. Examples include lead response, proposal drafting, customer updates, field documentation, document collection, and billing follow-up.
Why only one workflow?
A narrow workflow can be measured, designed, integrated, piloted, and handed off responsibly within 30 days. Multiple unrelated use cases create different data, operational, security, and evaluation requirements and need separate scope.
Does the $7,500 guarantee a specific ROI?
No. The sprint includes an agreed live release or production-ready handoff, a baseline, and a measured result. I do not promise invented savings or revenue. Delivery still depends on access, approvals, third-party systems, data quality, and client responsiveness; those dependencies are confirmed before the engagement begins.
Do we need an engineering team?
No. You do need approved access to the relevant tools and help from the person who administers them when necessary. That may be an employee, vendor, or software provider. I can perform the hands-on implementation, but I cannot responsibly connect a system without access and internal ownership.
Which AI model or vendor do you use?
The choice depends on the workflow, existing tools, privacy requirements, performance, and cost constraints. The engagement is sold around an operational result rather than loyalty to one vendor.
What happens if the workflow is not a fit?
I will say so during the written fit review and will not accept payment for a sprint I do not believe can be delivered responsibly within the stated constraints.
What happens after 30 days?
The sprint ends with documentation, handoff, and a prioritized recommendation. Additional work requires a separate written scope. There is no automatic retainer.
Can the sprint include an AI receptionist or chatbot?
Possibly, if it is the single bounded workflow, can connect safely to the required systems, has human escalation, and can be measured. A generic chatbot by itself is not automatically valuable and does not bypass the fit review.
Written fit review

Is there one workflow worth improving with AI?

Send the workflow, tools, and constraints in writing. I will review whether it is a responsible fit for a 30-day sprint before suggesting a call.

For example your field-service platform, CRM, inbox, scheduling tool, forms, or spreadsheets.

Briefly explain what triggers it, what people do today, and where the work slows down or gets repeated.

Can an owner or administrator provide approved access—or help from the person who manages the tools involved?

Your answers go directly to Brian and are used only to review your workflow. You will not be added to any mailing list. Submitting this form does not create a consulting agreement.

One workflow. Thirty days. Less operational drag.

If one repeated workflow is costing your team time, follow-up, or consistency—and the necessary access and budget are available—send the details in writing. I will tell you directly whether the sprint is a responsible fit.

Submit Your Workflow →