Workflow Automation — The Audit
We find what's fragile before you do.
A full-stack diagnostic across infrastructure, data, and AI. Two-to-four weeks. Founder-led. You walk away with your AI Implementation Roadmap, defensible business cases, and an honest read on where the work actually is.
Just need direction, not the full diagnostic? The AI Strategy Sprint is the lighter, faster way to get a prioritised plan — no build commitment.
See the Strategy Sprint →How it runs
Two-to-four weeks, end to end.
The process
Leadership & key-staff interviews
We start with structured conversations — senior management plus the people closest to the work. This is how we understand what the business actually needs and where pressure points live.
Workflow & system mapping
From the interviews, we map the workflows that matter, the systems that support them, and the data flowing between — so we know what to assess and against what standard.
Foundation & AI readiness assessment
Then we evaluate what we've heard against the evidence: your infrastructure, your data, and how ready both are to carry AI agents — graded on what holds up, not on aesthetics.
What you walk away with
The Diagnostic
Maturity scorecard, risk register, and current-state architecture in one document.
AI Implementation Roadmap
Your sequenced roadmap — the data and infrastructure foundations and the AI agents to build, in order, with a defensible business case per recommendation.
The Readout
A 60-minute leadership briefing that turns findings into a decision.
What we typically find
The same patterns, in different industries.
Pipelines no one owns
Critical jobs running on someone's laptop or a long-departed engineer's account. Quietly fragile until they break.
Metrics that disagree
Three teams with three numbers for the same KPI. Each defended. None reconciled.
Infrastructure paid for, not used
Reserved capacity, idle clusters, dormant tools. Cloud bills carrying weight no workflow needs.
AI bolted onto broken data
An agent or model layered on a foundation that can't answer simple questions consistently. Confidence inflated, output unreliable.
Reports nobody opens
Dashboards built for a stakeholder who left, a process that changed, or a question no one is asking anymore.
Risk hiding in plain sight
Permissions too broad, secrets in code, retention policies on paper only. The kind of thing auditors find for you if you don't.
What comes next
The audit is the door. The Build is the work.
The audit ends with your AI Implementation Roadmap. From there, we move into The Build: first the data and infrastructure foundations everything depends on, then the AI agents that run on top of them — in the order the roadmap specifies.
Same founder-led model. Same senior accountability. The audit gives you a defensible roadmap; the build turns it into something you can run.
See how The Build works →FAQ
Common questions about The Audit.
How long does The Audit take?
Two to four weeks end to end, depending on business size and how many systems are in scope. The bulk of the work is leadership and key-staff interviews, workflow and system mapping, and the foundation and AI readiness assessment across infrastructure and data.
What do I walk away with?
Three artefacts: The Diagnostic (maturity scorecard, risk register, current-state architecture), the AI Implementation Roadmap (the data and infrastructure foundations and the AI agents to build, in order, with a defensible business case per recommendation), and The Readout (a 60-minute leadership briefing that turns findings into a decision).
Do I have to commit to the build afterwards?
No. The audit stands alone. You leave with a defensible AI Implementation Roadmap that any capable team — yours, ours, or someone else's — can execute. Most clients choose to continue into The Build because the same senior people who ran the audit then deliver the work, but it's not a requirement.
How is this different from the AI Strategy Sprint?
The Strategy Sprint is a lighter, faster engagement (1–2 weeks) that produces a prioritised opportunity map for leaders who just need direction. The Audit is the full diagnostic — it goes deeper across infrastructure, data, and AI, produces the AI Implementation Roadmap, and feeds directly into The Build. If you're heading toward a done-for-you build, start with The Audit.
Who runs the audit?
Jason Weir, founder of DataArk Labs, runs every audit personally. Senior accountability across infrastructure, data, and AI — with no handoffs to junior consultants.
Where do you work?
We work with clients globally. The audit runs remote-first with on-site visits for the leadership interviews and the readout where they help.
Start with the audit
Start with the audit. We'll come back with a roadmap.
Every enquiry comes straight to us. Tell us where you are and we'll come back with the foundations and AI agents that make sense, in the order they should run.