Elixir AI · Assessment
Before any AI is scoped, an enterprise needs one clear answer: where in this business would AI produce a measurable return, and on what timeline?
The Elixir AI Business Assessment maps your current operational model against known AI production outcomes across your industry and platform stack. The output is a prioritised list of AI deployment opportunities with estimated impact, data readiness assessment, and a 90-day production path for the highest-ranked opportunity.
Prioritised
Output is a ranked list of AI opportunities specific to your business, sector, and platform stack.
90 days
The highest-ranked opportunity has a defined 90-day path to production at the end of the assessment.
Industry benchmarks
Assessment maps your position against Elixir's AI Hypercases and the Elixir AI Outlook 2026 findings.
Practitioner-led
The assessment is run by a practitioner who has deployed production AI in your sector, on your platform.
The AI Business Assessment is the structured conversation that precedes every Elixir AI engagement. It answers three questions: Where in this business would AI produce a measurable return? What is the data readiness position across those opportunities? And what is the 90-day path to production for the highest-priority opportunity? The output of the assessment is not a research report. It is an actionable deployment agenda.
What the assessment covers
Four domains. Mapped against your current operational model.
01/ 04
Where processes are consuming disproportionate human time
Identifies rules-based and semi-structured processes across finance, HR, procurement, and supply chain that match known AI automation patterns. Benchmarked against Elixir's Hypercases in your sector to give an estimated automation rate before any build begins.
Whether your data is ready for AI: and if not, what it takes to get there
Assesses data quality, accessibility, and governance across the enterprise platforms you operate on (SAP, Oracle, Microsoft, Salesforce, ServiceNow). Identifies the data preparation work required before any AI deployment is scoped. Data issues discovered here take days to resolve. Discovered during a build, they take months.
What AI can be built inside the platforms you already own
Maps your existing enterprise platform investments against Elixir's production AI deployments inside the same platforms. The assessment answers the question: what AI outcomes are available to your enterprise inside your current platform stack, without adding new platforms?
What regulatory requirements shape the model selection and architecture
Documents data residency requirements, audit obligations, explainability requirements, and human override rules that govern AI deployment in your sector and jurisdiction. These constraints define the model shortlist before any technical evaluation begins. Established at assessment stage, not mid-build.
Assessment output
What you receive at the end of the assessment.
Prioritised opportunity map
Ranked AI deployment opportunities specific to your business
A ranked list of AI deployment opportunities across your operational domains, scored by estimated impact, data readiness, and platform-native feasibility. Each opportunity is benchmarked against a known Elixir production outcome in your sector.
Data foundation gap report
Where your data is ready and where it is not
A clear view of data readiness across the platforms and domains relevant to your highest-priority AI opportunities. Includes the specific remediation steps required before each deployment can be scoped. No AI deployment proceeds without a confirmed data foundation.
90-day production path
A defined path to production for the top-ranked opportunity
For the highest-ranked opportunity, the assessment output includes a 90-day path to production: data preparation, model selection (driven by compliance requirements), build scope, and governance requirements. The outcome metric is defined and agreed before the path begins.
Define where AI will produce a measurable return in your business. Before the build begins.
The AI Business Assessment is conducted by a practitioner who has deployed production AI in your sector, on your platform. The output is an actionable deployment agenda, not a research report.
Assessment domains
Operations and workflowData foundation readinessPlatform-native opportunityGovernance and complianceAssessment output
Prioritised opportunity mapData foundation gap report90-day production pathRelated
AI Readiness AssessmentAI Value CalculatorAI HypercasesDelivery
Practitioner-ledBenchmarked against HypercasesOutcome defined before build