Code & Trust
AI Readiness Audit
A 90-minute session with a senior Code & Trust engineer. We map every manual, repetitive workflow in your business against current AI capabilities — and deliver a written roadmap with specific savings estimates. No vendor pitches. No generic advice. A written report you keep.
What is an AI readiness audit?
An AI readiness audit is a structured 90-minute session where engineers assess your business workflows against current AI capabilities. Code & Trust delivers a written report covering your top automation opportunities ranked by ROI, a technology recommendation for each, and a 90-day implementation roadmap with specific cost estimates. The output is a written deliverable you own — not a proposal for more consulting.
What's included in the AI readiness audit
Every Code & Trust AI readiness audit produces six written outputs: a workflow inventory, AI opportunity ranking by ROI, technology recommendation per workflow, a 90-day implementation roadmap, an integration assessment of your current stack, and risk and compliance notes for any sensitive-data workflows. All delivered in writing within 5 business days of the 90-minute session.
Workflow Inventory
A complete map of your current manual and semi-automated processes, including time-per-task estimates and the team members involved. This becomes the source of truth for prioritization.
AI Opportunity Ranking
Your top 5 automation candidates ranked by ROI — each with an estimated annual savings figure, complexity score, and a plain-language explanation of how the AI would work.
Technology Recommendation
For each automation opportunity: the specific tools, models, or custom-build approach recommended — and why. No vendor bias. We recommend what fits your stack and budget.
90-Day Implementation Roadmap
A phased action plan covering what to build first, approximate engineering effort in hours, and suggested sequencing so quick wins fund longer-term automation.
Integration Assessment
An inventory of your current software stack and an assessment of which tools can be augmented with AI through APIs — vs. which require custom builds to get meaningful automation.
Risk & Compliance Notes
For any workflow involving sensitive data (HIPAA, PII, financial records), specific notes on how AI can be implemented within compliance constraints — or why it cannot.
Who is the AI readiness audit for?
The AI readiness audit is for founders, CTOs, and operations leaders at companies with 10–500 employees who have manual processes costing staff time but haven't established which workflows AI should address first. It is especially valuable for teams who have tried generic AI tools and found them insufficient for their specific workflows.
Startup Founders
You're building a product or running operations manually because you haven't had time to investigate AI. The audit gives you a concrete starting point — ranked priorities instead of an open-ended research project.
CTOs & VPs of Engineering
Your team is already using some AI tools but you want an outside view on where the biggest technical opportunities still sit — and an unbiased opinion on build vs. buy for each.
Operations Leaders
You know which workflows are costing the most time but haven't quantified it or investigated whether AI is actually the right solution. The audit answers both questions in writing.
What does an AI readiness audit finding look like?
AI readiness audit findings are specific, quantified, and actionable. Each finding identifies the exact workflow, the AI solution approach, estimated implementation effort, and projected annual savings. Anonymized findings from past engagements are shown below — these are real outputs from the 90-minute audit process, not hypothetical examples.
Sample Finding — Healthcare SaaS (50 employees)
Prior authorization processing was consuming 4 FTE hours daily across 3 staff members. The audit identified that 78% of PA requests followed 12 repeatable decision paths — each automatable with a rules engine plus LLM review for edge cases. Estimated annual savings: $180K in staff time.
Sample Finding — Logistics Company (120 employees)
Freight document processing (bills of lading, customs forms, invoices) required 2 data-entry staff processing 400 documents per day. The audit found a document extraction pipeline using Claude would handle 92% of documents automatically, with a human-review queue for edge cases. ROI: $140K/year.
Sample Finding — B2B SaaS Startup (18 employees)
The audit found no high-ROI automation in the core product workflows — but identified that customer onboarding emails and support ticket triage were consuming 8 hours/week of the founder's time with clear automation paths. Estimated savings: 380 hours/year at founder rate.
AI Readiness Audit — common questions
Common questions about the AI readiness audit focus on what the deliverable actually is, whether it leads to a sales pitch, who conducts the session, and what happens when there is no meaningful AI opportunity. The audit is conducted by engineers, produces a written report you keep, and will recommend against AI implementation if the opportunity does not exist.
What is an AI readiness audit?
An AI readiness audit is a structured assessment where engineers map your current business workflows against what AI can automate today. Code & Trust delivers this as a 90-minute session followed by a written report covering your highest-ROI automation opportunities, timeline, and cost estimate. You leave with a prioritized implementation plan, not a sales pitch.
Who should schedule an AI readiness audit?
The AI readiness audit is designed for founders, CTOs, and VP Operations leaders at companies with 10–500 employees who have manual, repetitive processes and want to know exactly where AI creates ROI — without wading through vendor sales material. It is especially valuable if you have evaluated AI tools but are unsure which workflows to prioritize first.
What deliverables come out of the AI readiness audit?
Code & Trust delivers three written outputs after every AI readiness audit: a workflow map identifying your top 5 automation candidates ranked by ROI, a technology recommendation specifying which AI tools or custom builds are the right fit for each workflow, and a 90-day implementation roadmap with effort estimates and cost projections. The report is written by a senior engineer, not a sales team.
How long does the AI readiness audit take?
The AI readiness audit session runs 90 minutes. Code & Trust sends the written deliverable — workflow map, technology recommendation, and implementation roadmap — within 5 business days of the session. No pre-work is required from your team beyond scheduling.
Is the AI readiness audit a sales pitch?
No. The AI readiness audit is a structured technical assessment conducted by Code & Trust engineers. The deliverable is a written report you own regardless of whether you proceed with Code & Trust for implementation. If there is no meaningful AI opportunity in your current workflows, the audit will say so.
Related services and industry pages
The AI readiness audit connects to Code & Trust's full service offering — from MVP development for startups to legacy modernization for established businesses, and industry-specific AI implementations in healthcare and fintech. The audit is the recommended first step before any of these engagements.
Ready to find out where AI creates ROI in your business?
The AI readiness audit gives you a written answer — specific workflows, specific savings, specific next steps. Schedule now and receive your written report within 5 business days of the session.