AI Workflow Automation · The Audit
Find where AI actually pays off, before you build the wrong thing.
A fixed-fee diagnostic that scores your AI readiness, inventories and prioritizes use cases by value, feasibility, and urgency, and hands back a staged roadmap. The lowest-risk way to start, and the fee is credited against your first package.
Where would AI actually pay off for us, are we ready to build it, and what should we do first?
Most AI projects in life sciences fail not because the model is wrong but because the use case was chosen by who shouted loudest, on data and governance that weren't ready. The Diagnostic replaces the guess with a scored readiness assessment and a prioritized use-case list, and it applies the agent-vs-workflow test to each candidate, so your first build is the one most likely to reach production.
What's included
Readiness scorecard
Your readiness scored across strategy, data, tooling, and governance, including the observability and oversight that production AI actually depends on.
Prioritized use-case list
An inventoried, ranked use-case list scored by value, feasibility, and urgency, so effort goes where it pays off first.
Agent-vs-workflow test
The agent-vs-deterministic test applied to each candidate, so a simpler workflow is recommended wherever it wins, and an agent only where it earns its complexity.
Staged roadmap
A roadmap from prototype to production with explicit quality, safety, and responsible-AI gates.
How it works
- 1
Assess readiness
We score strategy, data, tooling, and governance against a readiness model, so the picture is honest before anything is built.
- 2
Inventory and rank
We inventory candidate use cases and rank them by value, feasibility, and urgency, applying the agent-vs-workflow test.
- 3
Map and present
We sequence the roadmap with production gates and present it live, so leadership leaves with a fundable first build.
What you walk away with
- A readiness score across strategy, data, tooling, and governance
- A prioritized use-case list ranked by value, feasibility, and urgency
- A clear agent-vs-workflow recommendation per use case
- A staged roadmap to production with safety and responsible-AI gates
Frequently asked
- What does the AI Readiness Audit cost?
- It is a fixed fee scoped to your size and complexity, and it is fully credited against the first package you book within 60 days. Book a consultation and we will quote it on the call.
- How long does it take?
- Two to three weeks from kickoff to the leadership readout, with a light time commitment from your team.
- What if AI isn't the answer for a use case?
- Then we say so. The agent-vs-workflow test exists to recommend the simplest thing that works, including a deterministic workflow or no build at all, which is exactly what keeps the roadmap honest.
Start with the lowest-risk step
Book a consultation to scope your AI Readiness Diagnostic. In a few weeks you will know exactly what to build first, and the fee comes back to you on your first package.
Where this leads next
AI Agent Build
The common next step when a high-value agentic use case is identified: design, build, and deploy a production agent.
Explore the packageAI Assistants
The fastest path to value when a quick win wins: role-specific custom GPTs and a grounded knowledge assistant.
Explore the packageBrowse the full AI Workflow Automation program
The Diagnostic points to the rest of the stack: LLM foundation, tooling, assistants, workflows, agents, orchestration, and governance. See how the packages fit together.