Human-First. Governed. Outcome-Driven.
Partner Models
Fractional Chief AI Officer
Best for: executive AI leadership without hiring
- Board-ready cadence & OKRs
- Portfolio & roadmap prioritization
- Governance, risk & adoption leadership
6–12 months (0.2–0.5 FTE)
AI Program Management
Best for: running multiple initiatives across functions
- Prioritized backlog; PoVs → rollout
- Multi-vendor coordination
- Performance & cost dashboards
3–6 months to initial scale
End-to-End Rollout
Best for: strategy → build → train across teams
- Implementation Oversight
- Change management & training
- Guardrails, compliance & SLAs
Phased, outcome-tied (multiple week-long sprints)
Capabilities
We plan, run, and govern these program areas: people-first, vendor-neutral, and measurable.
Strategy & Use-Cases
Turn AI ideas into a ranked, budget-aware roadmap. We align goals with feasibility, model ROI, and define success metrics per use case.
Vendor & RFI/RFP
Translate requirements into selection criteria, run demos and proofs, score vendors objectively, and negotiate terms—ending with a board-ready recommendation.
App & Solution Build
Design and build AI apps, agents, and workflows. We start lean, iterate in sprints, and deliver working software with acceptance criteria and handoff docs.
Data & Integration
Evaluate data readiness, security, and access; build connectors and a lightweight AI extraction layer that normalizes and serves production-ready data so AI fits your stack — not the other way around.
Program Delivery (PMO)
Run the portfolio: backlog, timelines, risks, and dependencies. Convert PoVs into rollouts with clear owners, change plans, and weekly accountability.
Governance & Risk
Bake in responsible AI: policies, review gates, audit logs, and human-in-the-loop controls that meet privacy and compliance requirements.
Change & Training
Drive adoption with role-based training, champion networks, and comms plans. We measure usage and behavior change: not just “go-live” dates.
MLOps & Monitoring
Operate with confidence: version prompts and models, monitor quality, cost, and latency, catch drift early, and alert on exceptions with SLAs.
Real Work. Real Outcomes.
Regional Insurance & Benefits Consultancy
AI Infusion Workshop • Roadmap • Program Mgmt • Fractional CAIO
Challenge:
Scattered pilots and no shared AI plan across service and operations. Compliance-heavy, document workflows and HR-tech constraints made scaling risky and slow.
What we did:
Ran an AI Infusion Workshop for the whole executive team to align goals and guardrails. Prioritized use cases, started a company-wide, high-impact AI project, and delivered an executable roadmap utlizing a proprietary impact matrix.
Outcome:
Leadership alignment and an AI program rhythm. Pilot ready with success criteria, vendor options, and change plan—clear KPIs and guardrails to scale what works.
Internationally Award-Winning Nonprofit
RFI Leadership · Program Mgmt · Knowledge Base AI
Challenge:
Free horticulture help via phone, email, and in-person relied on scattered knowledge. They needed an AI-ready, searchable knowledge base that updates automatically from conversations and is simple for volunteers and visitors to use.
What we did:
Led an AI-centric RFI: clarified outcomes and user stories, defined data/privacy requirements, aligned cross-functional stakeholders, ran vendor evaluations and demos, and produced a board-ready recommendation with a phased rollout plan.
Outcome:
A vendor-neutral shortlist with scoring, risks, and TCO; a pilot scoped to auto-capture Q&A from calls/emails and surface answers faster—setting up their first AI initiative and a governed path to expand access for more AI tools to use across the organization.
The WOZ Approach
A practical, human-first path from idea to impact. Align fast, deliver in sprints, and scale with guardrails.
Warm-Up
Establish your AI foundation through customized workshops and quick wins that deliver immediate value. Build internal capabilities and identify high-impact opportunities.
Operate
Implement practical AI solutions across your organization. Create scalable processes, establish clear metrics, and track ROI to ensure sustainable success.
Zoom
Scale what works across teams. Standardize playbooks and guardrails, optimize spend, and retire what doesn’t. Build internal capability so AI becomes an enduring, self-sustaining program.
"Working with Woz Digital has us excited to have unlocked a framework of how our management team can speak about AI and a common set of knowledge to build from."
— CEO, Mid-market Organization
Standing Up your AI Program
A practical AI adoption plan: align fast, prove value, and scale with guardrails.
Weeks 0 - 2: Align & Prepare
Stand up the program: align executives on outcomes and guardrails, baseline the metrics, confirm data/access, and pick the first high-impact pilot. Deliver a 90-day roadmap with owners, success criteria, and a weekly cadence.
Weeks 3 - 6: Prove & Enable
Build the pilot in sprints with change and training embedded. Integrate with your stack, run governance checkpoints, and validate against success criteria so the pilot is ready for rollout.
Weeks 7 - 12: Roll Out & Scale
Launch to target users and monitor quality, cost, and adoption in a live dashboard. Tune or retire, document the playbook, and queue the next best initiatives with budget recommendations.
FAQ
Run AI: Answered
1. Do you only advise, or do you also build?
Both. We act as your fractional CAIO and run the program and the build—spinning up the right dev resources as needed. You keep the IP and we document handoff clearly.
2. What outcomes should we expect in the first 90 days?
A live, high-impact pilot in production (or ready to launch), a 90-day roadmap with owners and success metrics, and a weekly executive cadence with a performance/cost dashboard.
3. How do you choose tools and models?
We’re vendor-neutral. We select based on your security, cost, and fit—whether that’s commercial APIs, your cloud’s AI services, or open-source—so the stack serves the outcome, not the other way around.
4. We don’t have clean data or a big technical team—can we still start?
Yes. We start where value doesn’t require perfect data, include a light data readiness track, and enable internal champions so adoption doesn’t depend on a large new team.
5. Can you integrate with our existing systems and data sources?
Absolutely. We never ask you to rip-and-replace your stack. We connect to your existing systems (databases, CRMs, ERPs, data warehouses, file shares, and spreadsheets) via standard connectors, secure SFTP, or APIs — and often build a lightweight AI extraction layer to provide flexible, model-ready access to your data.
6. How do you handle data security and compliance?
Governance is built in: least-privilege access, human-in-the-loop controls, audit logs, and approved vendors only. We can keep data in your cloud/tenant and follow your legal & privacy requirements.
7. How do you measure ROI and success?
We baseline KPIs, define success criteria for each use case, and track usage, quality, cost, and time saved in a dashboard. We use go/no-go gates to scale what works and retire what doesn’t.
8. What do you need from us to get started?
An executive sponsor, access to a few key systems, and 3–5 hours/week from 2–3 SMEs for the pilot. We’ll provide a simple governance checklist and a weekly rhythm.
9. What does it cost?
Workshops live under Apply AI (fixed-fee). Run AI retainers are scoped to your portfolio; most mid-market clients start with a fractional CAIO + program engine. Happy to share ballparks on a quick call.
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