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For vertical B2B SaaS companies

Build AI into your company in 30 days.

I spent 20+ years leading and building vertical SaaS products. Now I help SaaS companies add one focused AI capability to an existing workflow, without hiring an AI team or committing to a year-long project.

30-Day In-Product AI Assistant Sprint$7,500 fixed
Submit Your Workflow →See What I Have Shipped

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 product already works. One workflow should work better.

This sprint is for SaaS products where users repeatedly write, read, summarize, extract, or decide inside an existing workflow. The opportunity is not “add AI everywhere.” It is to improve one frequent task in a way users can understand, control, and adopt.

  • Rewrite

    Turn rough internal notes into clear, professional customer communication.

  • Summarize

    Condense records, conversations, tickets, cases, or activity into an actionable summary.

  • Draft

    Create a useful first draft using context already available inside the product.

  • Extract

    Convert unstructured text into structured fields the existing workflow can use.

  • Recommend

    Suggest a next action while keeping the user in control of the decision.

This is an in-product assistant for an existing SaaS workflow. It is not a generic website chatbot or an AI receptionist.

The problem

The model is rarely the hardest part.

Useful product AI depends on context, permissions, failure handling, evaluation, user control, cost visibility, and integration with the workflow people already use. A promising prototype can still fail when those product and engineering details are left unresolved.

  • The use case is too broad to evaluate or release safely.
  • The assistant lacks the product context needed to produce useful output.
  • Nobody has defined acceptable, unacceptable, and fallback behavior.
  • The prototype is disconnected from authentication, permissions, logging, and the existing user experience.
The engagement

30-Day In-Product AI Assistant Sprint

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

    Select and design

    • Select one narrow product workflow
    • Define successful, unacceptable, and fallback behavior
    • Confirm data, access, integration, security, and product constraints
    • Produce the implementation architecture and delivery plan
  2. Week 2

    Build and integrate

    • Build the assistant behavior for the agreed workflow
    • Connect it to the existing application, data, and permissions
    • Add appropriate logging, error handling, and cost controls
  3. Week 3

    Evaluate and refine

    • Test against representative example inputs supplied or approved by the client
    • Create an evaluation set for expected and unacceptable behavior
    • Refine instructions, output structure, fallbacks, and user control
  4. Week 4

    Prepare release and handoff

    • Prepare the agreed production release or production-ready handoff
    • Document architecture, operation, costs, limitations, and known risks
    • Train the responsible product or engineering contact
    • Deliver a prioritized recommendation for the next step

Included

  • One rewrite, summarization, drafting, extraction, or recommendation workflow
  • Integration with one existing SaaS product
  • Evaluation examples and failure handling
  • Appropriate usage logging and cost controls
  • Documentation and handoff
  • Fourteen calendar days of post-handoff bug fixes for defects within the agreed scope

Not included

  • A new SaaS application built from scratch
  • Multiple unrelated workflows
  • A general AI strategy or company-wide audit
  • 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 product, available access and data, client responsiveness, and 30-day constraint.

Submit Your Workflow →
Selected work

Products and systems I have shipped

The AI Writing Assistant and Autoshop DVI 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.

  • AI Writing Assistant

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

    Embedded AI · Product integration · Production delivery

  • Autoshop DVI

    A digital vehicle inspection product built for automotive service workflows.

    SaaS product · Workflow design · Full-stack 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 →

  • 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 →
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 product and constraints. Relevant experience includes Python, Node, AWS, OpenAI, Anthropic, APIs, data workflows, and product integrations.

Qualification

A good fit. And a bad fit.

Good fit
  • Existing B2B SaaS product with active users
  • One repeated, text-heavy product workflow
  • Founder, CTO, or product leader owns the decision
  • Engineering contact and required system access are 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 without an existing product
  • “Add AI everywhere” without one workflow
  • A generic website chatbot or receptionist request
  • A company-wide AI audit
  • A project requiring unverified legal, clinical, financial, or regulatory conclusions
  • No engineering access, test data, decision-maker, or budget
  • A request for speculative unpaid design work before qualification
FAQ

Questions, answered.

What exactly is an in-product AI assistant?
It is a focused capability inside an existing SaaS workflow. It may rewrite, summarize, draft, extract, or recommend using context the product is permitted to provide. The user remains inside the product rather than switching to a generic chat tool.
Why only one workflow?
A narrow workflow can be designed, evaluated, integrated, and handed off responsibly within 30 days. Multiple unrelated use cases create different data, product, security, and evaluation requirements and need separate scope.
Does the $7,500 guarantee a production launch?
The sprint covers an agreed production release or production-ready handoff. Actual deployment can depend on the client’s release process, access, approvals, infrastructure, security review, and responsiveness. Those dependencies are confirmed before the engagement begins.
Do we need an engineering team?
The company needs at least one responsible technical contact and access to the relevant application, API, repository, test environment, and approved test data. I can perform hands-on implementation, but I cannot responsibly integrate into a product without access and internal ownership.
Which AI model or vendor do you use?
The choice depends on the workflow, existing stack, privacy requirements, performance, and cost constraints. The engagement is sold around the product outcome 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.
Is this an AI receptionist or website chatbot service?
No. The offer is an assistant embedded into an existing vertical SaaS product workflow. The receptionist remains only an independent technical demonstration.
Written fit review

Is there one product workflow worth improving with AI?

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

Does your company currently operate an existing B2B software product with active users?

Briefly explain what people do today and what you want to make faster or easier.

Can your team provide a technical contact and access to the relevant product and a safe testing environment?

Your answers go directly to Brian and are used only to prepare for the call. You will not be added to any mailing list. Submitting this form does not create a consulting agreement.

One workflow. Thirty days. A useful in-product assistant.

If you have an existing SaaS product, one repeated workflow, the necessary access, and an approved budget, send the details in writing. I will tell you directly whether the sprint is a responsible fit.

Submit Your Workflow →