Workflow AppsWorkflow Apps

AI Strategy & Advisory

AI Strategy Before AI Spending.

Most AI projects fail because they start in the wrong place. We provide strategic AI leadership: opportunity assessment, implementation roadmaps, organization-wide deployment, and ongoing governance.

Overview

Why Start With Strategy.

Organizations build a chatbot when the real problem is call handling. They automate a low-value task when a high-value one sits right next to it. They evaluate tools before defining the outcome. The build goes fine; it was just the wrong build.

Map the operation first. Score each workflow on ROI potential, implementation complexity, and speed to value. Sequence the work so the first project pays for the next one.

A roadmap specific to your organization that leadership can fund with confidence, and an implementation partner accountable for delivering it.

Services

From First Audit to Operating Standard.

  1. AI Opportunity Audit

    Map your operations, find the highest-ROI AI opportunities, and leave with a prioritized roadmap.

    Two working sessions plus a written report: a discovery session to map lead handling, intake, communication, reporting, and knowledge management in depth, and a readout to pressure-test the recommendations. The audit fee is credited toward any build that follows.

    • Workflow mapping across the operation
    • Each opportunity scored on ROI, complexity, and speed to value
    • Written, prioritized implementation roadmap
  2. Organizational AI Implementation

    Deploy AI across departments and make it stick. More than handing people a login.

    Your team already uses AI individually and inconsistently. A few people get large gains; most get none. We configure AI tools for each department's workflows, build role-specific instructions and templates, train teams on their actual work, and set up the processes that make AI an operating standard.

    • Audit and configure: current usage, highest-leverage teams, role-specific setup
    • Train and enable: hands-on, workflow-specific sessions per department
    • Integrate and standardize: connect AI to your PM, CRM, and docs
    • Measure and optimize: adoption tracking and monthly iteration
  3. Fractional CAIO

    Chief AI Officer leadership without the full-time hire.

    Strategy, roadmap, implementation oversight, governance, and a monthly executive briefing. For organizations that need someone accountable for AI at the leadership table, with the build capacity to back it up.

    • AI strategy and multi-quarter roadmap
    • Oversight of implementation work, ours or other vendors'
    • Monthly executive briefing and board-ready reporting
  4. AI Governance & Roadmapping

    Vendor evaluation, model selection, risk management, and compliance readiness.

    Structured governance alongside implementation, so adoption moves quickly without creating risk your legal, security, or compliance teams have to clean up later.

    • Vendor and model evaluation
    • Usage policies and risk management
    • AI literacy programs for staff and leadership

Who It's For

Who This Is For

  • Leaders who know AI is strategic

    You're convinced it matters but not sure where to invest first, and you want a clear roadmap before committing budget to a build.

  • Organizations with uneven adoption

    Individual tools, inconsistent results. You need AI deployed across departments with a standard, not another workshop.

  • Teams evaluating vendors

    You want an independent strategic view before choosing who builds what.

Process

How an Engagement Runs.

Scope, architect, build, ship. The same four phases on every project, so you always know what happens next.

  1. Scope

    Week 1

    Audit what exists and define what needs to be built.

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    If you have a prototype, we assess it. If you're starting from requirements, we map the architecture. You leave with a scoped plan, milestones, and a timeline.

  2. Architect

    Week 2

    Architecture, stack decisions, and a delivery roadmap.

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    Infrastructure, data model, API structure, and deployment strategy are settled before production code is written. No building without a blueprint.

  3. Build

    Weeks 3–8

    AI-accelerated development with something to review every week.

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    Production code, not throwaway prototypes. AI runs through our whole development process to compress the timeline; review and testing keep the quality bar where it belongs.

  4. Ship & Support

    Week 8+

    Deployment, documentation, and handoff.

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    We deploy to your infrastructure, document the system, and walk your team through it. Maintenance and iteration retainers are available if you want us to stay on.

Start With the Audit.

Tell us where your organization is with AI today. You'll hear back within one business day with next steps.