A 30 / 60 / 90-day roadmap, with 6 and 12-month horizons — moving Belkin from using AI tactically to operating as an AI-native company.
An in-house division for AI, robotics, spatial computing & content. The DockKit Auto-Tracking Stand and Vision Pro battery holder prove appetite for AI-adjacent hardware. The natural home for device work.
A mature product engineering and manufacturing capability built over 40+ years — the ability to take AI concepts from prototype to producible device, which most consumer brands cannot match.
The opportunity: operate as an AI-native company across three connected fronts.
AI inside Belkin to cut cost, speed cycles, and lift margin — DTC, marketing, support, supply chain, sustainability, engineering.
Belkin as the power, connectivity & peripheral partner for the wave of AI-enabled devices — wearables, glasses, robots, agentic hardware.
Embed as resident AI lead: build reusable AI tooling, then prototype Belkin's own AI-native devices with the hardware team.
Sequencing is deliberate — A earns trust first; B and C ramp from month 4, when Future Ventures becomes the center of gravity.
Mapped the org, secured a sponsor, scoped 2+ quick wins.
2–3 pilots live, enablement underway, governance drafted.
Proven ROI, budget secured for the next horizons.
Embedded in Future Ventures, toolkit live, ops handed off.
Working device prototype, tooling platform, partnerships.
AI-assisted product content, search & personalization on Belkin's store.
Retrieval over product docs & warranty to deflect routine tickets.
Private assistant over internal docs — specs, process, prior work.
Plus: role-specific enablement, an activated champions network, and a one-page governance draft.
| KPI | Target (illustrative) | How measured |
|---|---|---|
| DTC pilot impact | Conversion / content lift vs baseline | A/B or pre/post |
| Internal assistant impact | 2–4 hrs saved / user / week | Survey + usage |
| Pilots with defensible ROI | At least 1 | Cost vs benefit |
| Pilots graduating to production | 1–2 identified | Operating model rec. |
| Budget for months 4–12 | Approved | Funding & named team |
| Function | Why they matter | Workstream |
|---|---|---|
| Future Ventures | Home for device work & strongest sponsor | C → B |
| E-commerce / DTC | Data-rich, fast wins, revenue impact | A |
| Customer Experience | High-volume workflows, deflection ROI | A |
| Supply Chain / Ops | Manufacturing data link, forecasting, cost | A → C |
| Product Engineering | Hardware feasibility for prototypes | C |
| IT / Data · CEO's office | Access, governance, budget & air cover | All |
| Risk | Mitigation |
|---|---|
| "Another consultant" | Ship a visible win by day 90 before asking for investment |
| Access delays | Start with data-rich, low-risk areas needing minimal access |
| Pilots stall | Internal owners from day one; champions network early |
| Device work outruns funding | Keep B & C in discovery until 90-day proof |
| Manufacturing underused | Map the hardware / manufacturing link in Phase 2 |
By month 12: a working AI device prototype, an AI tooling platform the division owns, active partnerships, and operational AI running as business-as-usual — with Future Ventures as the engine.