AI Audit & Strategy
Know exactly where AI pays off in your company
At a glance: before building anything, we map your processes and pinpoint where AI and automation return the most hours and euros. The audit ends with a prioritised roadmap: what to automate first, with what technology, at what cost, with what expected return.
What the audit covers
- Process & cost mapping — where your teams' hours actually go, and what each repetitive workflow costs per month.
- AI opportunity scoring — each candidate workflow scored by volume, repetitiveness, data readiness and risk.
- Prioritised roadmap — what to build first, in which order, with scoped cost estimates from our published price ranges.
- Make-or-buy & governance — build vs buy decisions, data governance and GDPR constraints, tool choices (n8n, Make, open models vs APIs).
Why start with an audit
No science projects
Every recommendation is anchored to a process with a measurable cost — not to hype.
ROI before build
You see expected hours saved and break-even points before spending on implementation.
Vendor-neutral
We recommend the stack that fits you — including self-hosted options — not the one that pays us a commission.
Actionable in weeks
The roadmap is scoped so the first automation can start immediately after.
How it works
Discovery call
We understand your business, teams and pain points.
Process mapping
Structured interviews and workflow analysis across your teams.
Scoring & roadmap
Opportunities scored, prioritised and costed into a sequenced roadmap.
Presentation
We walk your leadership through the findings and the plan.
Common use cases
Pre-investment due diligence
Leadership wants proof of ROI before committing budget to AI.
Post-pilot confusion
A tool was bought, adoption stalled — the audit resets the plan on real processes.
GDPR-constrained planning
AI ambitions with strict data constraints — the audit maps what must stay on-premise.
Multi-team rollouts
Several departments, conflicting priorities — the audit sequences the rollout.
Pricing
Audits are scoped to your size and the number of processes covered — confirmed by a quote. The audit fee is credited against the first implementation project when you proceed with us.
Not ready for an audit? Our article on how much AI automation costs gives you the reference price ranges.
Frequently Asked Questions
What do we get at the end?
A written report: process map, opportunity scoring, prioritised roadmap with scoped estimates, governance and tooling recommendations — presented live to your team. Everything is yours to execute with us or without us.
How long does an audit take?
Typically a few weeks depending on the number of teams and processes: interviews, mapping, scoring, then the presentation. We keep it tight — the goal is a decision-ready plan, not a 200-page PDF.
Do we have to build with you afterwards?
No. The audit is valuable standalone. That said, when clients proceed, the audit fee is credited against the first project — and the roadmap becomes the backlog we execute together.
Can the audit cover data compliance?
Yes — GDPR constraints, data residency and the EU AI Act angle are part of the governance section. For companies with strict requirements, we map which workloads must run on self-hosted models (see our open-source AI deployment service).