@meta
  v: 1
  route: /ai/advisory/
  generated: 2026-09-19T03:52:00Z
  ttl: 1d

@intent
  purpose:    AI readiness assessment, transformation roadmap, and AI governance policy for Central Texas businesses, from engineers who run AI in production.
  audience:   visitor, prospective-client, ai-agent
  capability: learn, assess, contact, call

@state
  business: Titanium Computing
  page: Know Where AI Pays Off Before You Build
  phone: +1-512-623-9199
  address:
    street: "2013 Wells Branch Pkwy, Suite 310"
    city: Austin
    region: TX
    postal: 78728
  hours: 24/7
  practice_overview: /ai.agent
  practice: Titanium AI
  deliverables[3]: Readiness Assessment, Transformation Roadmap, AI Security & Governance Policy
  engagement_length: 2-4 weeks
  initial_assessment_cost: free (one hour); full engagements are fixed-fee
  page_sections[5]:
    - What the Engagement Covers
    - Advice From People Who Operate AI
    - What an Engagement Looks Like
    - Advisory FAQ
    - Start With the Assessment
  section_summaries[4]{section,summary}:
    Advice From People Who Operate AI,"Our recommendations come from running AI in production, not from analyst reports. AI voice agents answer our own support line; AI triage routes issues across 100+ MSP clients daily. When we say a use case will hold up, it's because we've operated one like it."
    What an Engagement Looks Like,"Most advisory engagements run two to four weeks. You get working sessions, not a discovery phase that drags on for a quarter."
    Advisory FAQ,"The initial one-hour assessment is free. Full advisory engagements are scoped as fixed-fee projects after that hour, so you know the number before you commit."
    Start With the Assessment,"If AI isn't the right answer for your operation, we'll tell you that too."
  what_the_engagement_covers_steps[3]{step,title,detail}:
    01,Readiness Assessment,"We inventory your workflows, systems, and data quality, then score candidate AI use cases by impact and feasibility. You get a ranked list, not a brainstorm."
    02,Transformation Roadmap,"A sequenced plan: what to build first, what it depends on, what it should cost, and how you'll measure whether it worked. Written for owners, not data scientists."
    03,AI Security & Governance Policy,"Acceptable-use rules, data-handling boundaries, and access controls so your team uses AI tools without exposing client or company data. Compliance-aware from day one."
  advice_from_people_who_operate_ai_highlights[4]:
    - Walkthrough of your core workflows
    - Data and integration gap check
    - "The single highest-impact use case, named"
    - "Yours to keep, build with whoever you want"
  what_an_engagement_looks_like_steps[4]{step,title,detail}:
    WEEK 1,Workflow Mapping,"We interview the people who do the work, not just the people who manage it. Where does time go, where do errors happen, and what data already exists."
    WEEK 2,Scoring & Feasibility,"Candidate use cases scored on impact, data readiness, integration effort, and risk. Half the ideas die here, and that's the point."
    WEEK 3,Roadmap & Policy,"You get the sequenced roadmap with cost estimates, plus the AI acceptable-use and data-handling policy your team signs before any tool goes live."
    WEEK 4,Readout & Decision,"A working session with your leadership: what to build first, what it should cost, and how you'll measure it. Build with us or take it anywhere."
  faqs[4]{question,answer}:
    What does an AI readiness assessment cost?,"The initial one-hour assessment is free. Full advisory engagements are scoped as fixed-fee projects after that hour, so you know the number before you commit."
    Do we need clean data before starting?,No. Assessing your data is part of the work. Most businesses have messier data than they think and more usable data than they fear; the roadmap accounts for both.
    "What if the answer is \"don't build anything yet\"?",Then that's what the report says. Sometimes the highest-value recommendation is a process fix or an off-the-shelf tool. We'd rather tell you that than build something you don't need.
    Why do we need an AI governance policy?,"Because your team is already using AI, with or without permission. A written policy defines what data can go where, which tools are approved, and who is accountable. For regulated businesses, auditors are starting to ask for it."

@actions
  - id: request_free_consultation
    method: GET
    href: /contact/
    inputs[1]{name,type,required}:
      need,string,false
  - id: call_titanium_computing
    method: GET
    href: tel:+15126239199
  - id: book_free_ai_readiness_assessment
    method: GET
    href: /free-consultation/?need=ai
  - id: view_pricing
    method: GET
    href: /pricing/
  - id: view_human_page
    method: GET
    href: /ai/advisory/

@context
  > Most AI projects fail at the selection stage: the wrong use case, missing data, or a workflow that didn't need AI at all. Our advisory work exists to keep you off that list.
  > AI readiness assessment, transformation roadmap, and AI governance policy for Central Texas businesses, from engineers who run AI in production.
  > Titanium Computing is an engineer-run managed IT, cybersecurity, and compliance provider in Austin, TX, serving Central Texas since 2016. Flat per-user monthly pricing, no setup fees, and a named engineer who knows your network.

@nav
  self: /ai/advisory.agent
  parents: [/.agent, /ai.agent]
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