The hard part was never the technology
Enterprise AI adoption that runs on the security and infrastructure you already own. Powered by Claude. Secured by Microsoft.
The team hosting the session, across both firms.
Most organisations do not have an AI problem.
They have a governance, security and operationalisation problem. The platforms are proven. What separates the organisations getting value from the ones still piloting is whether the workforce is enabled, governed and trusted to use them.
Two different bases, shown separately rather than as one comparison.
Two years ago we blocked generative AI outright. Getting to board priority was not a technology decision. It was governance, evidence and trust, in that order.Oliver Sebastian Chief Information Officer, Landcom
The shift is from rollout to enablement. AI woven into how work gets done, governed inside the security stack you already own.
Two specialisms, one engagement.
DeepWeaver brings the AI. Digital61 secures and operates the environment it runs in. You deal with one team, and the handover problem between the two disciplines never lands on your desk.
DeepWeaver is an Australian AI consultancy and an Anthropic Claude partner. The practice exists because most organisations that buy an AI platform never get past the pilot, so the work is deliberately built around adoption rather than procurement: get the technology into the hands of the people who do the work, prove it on real processes, then keep going until agents are running in production.
The team comes out of enterprise software delivery and applied AI engineering, and works embedded alongside client teams rather than at arm's length. Certification under ISO 42001, the AI management standard, means the governance side is documented rather than improvised.
- Claude enablement, from executive literacy to role-based hands-on labs
- Rollout and activation, including MCP connectors into your systems of record
- Forward-deployed engineers building skills and agents alongside your teams
- Long-running agentic development, with evaluation and production monitoring
ISO 42001 certified, NAIC-listed
Digital61 is a Canberra-headquartered managed security and managed services provider working with Australian government, critical infrastructure and enterprise. The day job is running the controls other people only write policies about: identity, endpoints, cloud platform and a 24/7 security operations centre.
That matters here because the reason AI programmes stall is rarely the model. It is the unanswered question about where data goes, who can reach it, and who is watching. Digital61 answers those in the tenancy you already run, with the clearance and assurance posture to back it: DISP membership and an IRAP PROTECTED-assessed managed SOC.
- Identity and device posture through Entra and Intune
- Data governance, classification and retention through Purview
- Detection and response through a 24/7 managed SOC on Sentinel
- Azure landing zones, compliance evidence and assurance reporting
DISP member, IRAP PROTECTED-assessed managed SOC
Nothing new to secure.
Identity, deployment, data governance and detection stay exactly where they already are. The AI layer sits on top of your Microsoft tenancy rather than beside it, so there is no second control plane, no second audit surface and no new vendor to assess.
From executive literacy to agents running in production.
The layers are sequential but not all-or-nothing. Most organisations start at one or two, prove the value, and pull the rest forward once the governance position is settled.
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01
Claude enablement and training
Executive literacy sessions that settle what the technology is and is not, then role-based workshops and hands-on labs so each function leaves with work they can actually do differently on Monday.
You geta trained cohort, role-specific prompt and workflow libraries, and an internal champion network. -
02
Claude rollout and activation
Packaged deployment through Intune to managed devices, MCP connectors wired into the systems your people work in, and security guardrails set before the first licence is handed out.
You geta managed deployment, connected data sources, and activation tracked as a number rather than assumed. -
03
Claude governance
Acceptable use standards, usage controls and a responsible AI framework mapped to your existing compliance obligations, with the evidence a board or auditor will ask for already assembled.
You getSOPs, a control mapping, and reporting that stands up in an assurance conversation. -
04
Forward-deployed engineering
Claude experts working onsite with your teams, turning the ideas that surface during enablement into production-grade skills and agents rather than demos that stall after the workshop.
You getworking automations in your environment, and your own people able to extend them. -
05
Agent build and AIOps
Long-running agentic development against real processes, with evaluation harnesses, monitoring and a defined operating model so agents are run like production systems, not experiments.
You getagents in production, measured performance, and a support model that does not depend on one person.
A short, low-commitment first step.
One partner for the AI. One for securing the environment it runs on.
One engagement, one accountable team, and no gap between the AI capability and the controls around it.
Does our data train the model?
Where does the data sit?
Do we need a new security tool?
What if adoption stalls again?
How long before anything is real?
Who owns what we build?
Source links point to the publishing bodies. Confirm the exact report before quoting these figures in a proposal.
Thirty minutes that tells you whether this is real for your organisation.
Not a demo and not a pitch deck. A working session with your leadership team on where AI is genuinely useful in your organisation, what it would run on, and where the governance exposure actually sits. You leave with a view either way.