What We Implement
AI Triage & Fix
- Stabilize flaky prompts, automations, and brittle integrations.
- Retries, fallbacks, logging, permissions, cost controls.
Outcome: Your current stack stops breaking in production hours.
Workflow Linking
- Map content/data flows end-to-end; remove swivel-chair steps.
- Unify prompts/templates; API-level stitching + human checkpoints.
Outcome: One coherent system with clear inputs, outputs, ownership.
AI Collaboration Pods
- Small cross-functional pods with embedded assistants.
- Cadences, review rituals, role-specific copilots.
Outcome: Teams that actually co-work with AI.
Vibe-Coding Workshops
- Teach rapid AI-assisted building (Claude/ChatGPT).
- Pattern: spec → prompt → code → test → refine.
Outcome: Staff self-serve 80% without a dev queue.
Advisory & Retainers
- Roadmaps, partner/tool choices, KPIs, board updates.
- Quarterly architecture reviews; prompt-ops governance.
Outcome: Clarity at the top; momentum in the middle.
Compliance & Guardrails
- Lightweight privacy/IP/data security; audit trail.
- Model/tool selection aligned with policy and risk.
Outcome: Speed with sensible safety.
How We Work
01 — Assess (1–2 wks): inventory, pain points, quick-wins list.
02 — Ship (2–4 wks): fix top issues, link key flows, prove ROI with one use-case.
03 — Enable: upskill teams with vibe-coding workshops; cadence + governance.
Expected Outcomes
- Idea → multi-publish in ≤ 6 minutes
- Cycle time ↓ 30–60%, failure rate ↓ 50–90%
- Fewer handoffs, clearer ownership, controlled spend
Talk to Rutherford & Company
Tell us what's breaking, what you want to ship, and who needs to be enabled. We'll propose a small, high-impact start.