Workflows → AI agent skills
Give your AI agents
your team's
knowhow.
Your best people have expertise that lives in their heads. We package it into agent skills — reusable instructions and workflows your AI tools can load on demand — so they work the way your team does, then scale across the whole org.
Example deployment
Works with
Claude Code
OpenAI Codex
Cursor
MCP ProtocolThe problem
Your team has AI tools. But they're not getting AI results.
Everyone has the tools. Almost nobody has the implementation that makes them work.
80%
of AI projects fail to deliver value
RAND Corporation, 2025
15hrs
per person per week on repetitive tasks
Tasks AI agents can handle today.
22%
of enterprises have shadow AI agents
Running without IT knowledge or governance.
What we do
We solve both sides of the problem.
We ship production agent workflows — then put governance around them so they scale safely.
We build your AI skills.
We map how your team actually works, then ship agent workflows and integrations that run in the tools you already use.
Workflow audit
Map which processes are repeatable and automatable
Skill development
Build reusable agent workflows and integrations your team owns
System integration
Connect to your CRM, ERP, databases, and internal tools
Team training
Teach your team to use and extend the skills themselves
Weeks,
not quarters.
First skills in production within 4-8 weeks. Not a 6-month consulting engagement with a deck at the end.
You own
everything.
Every skill, plugin, and MCP server runs in your environment. Zero vendor lock-in. Full code ownership.
Deploy.
Govern.
Scale.
One place to manage all your AI agent skills — across teams, platforms, and departments.
Full
visibility.
See exactly which skills are deployed, who's using them, and how they're performing — across every team and platform.
We help you manage them.
Workflows are only useful if they're governed, distributed, and monitored. We set up approvals, access control, versioning, and an internal catalog your team manages.
Governance controls
Who can create, edit, publish, and deploy skills
Usage analytics
Which skills are used, by whom, and how often
Security & compliance
Approval workflows, audit trails, version control
Cross-platform
Claude, Codex, Cursor — manage skills across all tools
Why this matters now
Your team is already using AI agents. The question is whether you control them.
OpenClaw has 2 million weekly users. 22% of enterprises have employees running AI agents as shadow IT. 135,000 instances are exposed to the public internet.
Put governance in place before it becomes a security incident — or lose visibility entirely.
Without Reifio
- Every engineer runs their own AI setup
- No visibility into what agents are doing
- Tribal knowledge stays in people's heads
- Security and compliance risks compound daily
With Reifio
- Shared skill library the whole team uses
- Every skill governed, versioned, and monitored
- Institutional knowledge encoded and reusable
- IT controls who gets what, with audit trails
About Reifio
Enterprise AI is our day job.
We built and shipped production AI systems for AGL, QBE, Harvey Norman, and Specsavers — organisations where downtime is not an option and compliance is not optional.
Now we apply that experience to the next wave: turning internal workflows into reusable agent automations — and giving teams the controls to run them safely.
Melbourne, AU
Australian-owned. Local delivery. Sovereign AI by default.
Senior-led delivery
The person who scopes is the person who delivers. No handoff after signing.
Platform-agnostic
Claude, Codex, Cursor, custom LLMs — we build skills that work across any platform.
Our team delivered enterprise AI at
FAQ
What teams
ask us
Practical answers to the questions that come up in every discovery call.
What do you actually deliver?
We identify 3-5 high-friction workflows, ship 1-3 production agent workflows and integrations, and hand over the code and playbook your team can keep extending.
Which tools do you support?
We focus on the tools teams are already adopting such as Claude Code, Codex, Cursor, MCP-based workflows, and custom agents, so the work lands in the stack your team already uses.
How long does a first engagement take?
The goal is measured in weeks, not quarters. We aim to get the first useful skills into production in roughly 4 to 8 weeks instead of running a long advisory engagement that ends with a slide deck.
How do you handle security and governance?
We design for private delivery from the start: your skills, integrations, and guardrails run in your environment, with approvals, versioning, and visibility built into the way the rollout works.
Do we own the skills and integrations?
Yes. The code, prompts, workflows, and integrations are built for your team to own, extend, and govern, so you are not trapped in a black-box service model.
What does an engagement cost?
It depends on scope, but a typical first engagement — auditing a handful of workflows and delivering the first production skills — runs in the low tens of thousands. We will tell you what it costs after a 30-minute conversation, not after three months of discovery.
Is Reifio right for every team?
No. We are a strong fit for teams that already see AI use emerging across the business and want to turn that energy into governed, repeatable workflows. If you only want a generic strategy deck or are still at the 'should we use AI at all?' stage, we are probably not the right partner yet.
Still weighing it up?
Get in touch and we'll tell you plainly whether this is a fit — and what the first engagement usually looks like.
Your agents are only as good
as what they know.
30-minute call. We'll tell you which workflows are worth encoding first — and what the first engagement looks like.