Agents for the whole organisation
AI agents that work for the whole organisation, with access, memory, and audit designed in from the start.
Most AI agents today are single-player: one person, one laptop, one set of credentials. Useful for an individual, structurally wrong for a team. We build the layer that makes agents organisational: governed capabilities, shared memory, and guardrails enforced in code rather than requested in a prompt.
DevOptix · Agents for the whole organisation- ✓AI helps individuals in your organisation today, but nothing compounds: every laptop has its own agents, prompts, and access.
- ✓You want agents that can touch real systems without holding real credentials.
- ✓Your security team and auditors have a say in everything you ship, and you want them to be able to say yes.
- ✓You are building a capability platform, not a collection of demos.
Hands, not keys
An agent should never hold raw credentials or unbounded access. We wrap every system it touches in typed, scoped capabilities, so the boundary lives in code that holds whether the model cooperates or not.
Memory the organisation keeps
What an agent learns should not die on one laptop. With shared memory, a question answered once is answered for everyone, and the platform gets more useful with every task it runs.
One capability, three consumers
Each capability we build serves the new colleague who learns the procedure from it, the expert who wants the answer in seconds, and the agent that chains it with others. Nothing is built for a demo.
Governed by design
Every action carries a principal, every decision is logged, and approvals are part of the platform. Your security team can reason about it, and your auditor can read it.
- ✓Automation that compounds across teams instead of fragmenting per laptop
- ✓Agent actions you can audit and attribute
- ✓A capability backlog that ranks itself on evidence
Anatomy of a team agent harness
A chat loop with tools is not a harness. An agent that works for a team needs four primitives most personal harnesses skip entirely: delegation, a learning loop, self-aware capability gaps, and multi-channel presence, plus three platform rules that keep the whole thing governable.
Read articleA skills repository is not an automation platform
Every organisation is building a central repo of AI skills, prompts, and agent definitions right now. It is the right first step, and it has a ceiling nobody talks about. A skill is advice for an AI assistant; the doing still runs on personal access. A maturity ladder for what comes next.
Read articleNot sure this is the expertise you are looking for? Describe what you are running into and we will point you to the right one, or to the approach that delivers it.