Home / AI Workflow Automation / Data Readiness Diagnostic
Phase 1 — 2–4 Weeks
Find out what’s actually ready to automate — before you spend on a build.
Clients often don’t know which manual processes are good candidates for automation, or whether the data behind them is structured enough for a language model to read reliably. This diagnostic answers both questions in writing, with a prioritized roadmap you can act on.
What You Get
A written roadmap, not a slide deck pitch.
Over 2 to 4 weeks, we map your manual workflows end to end, audit the data those workflows depend on, and quantify what automating specific bottlenecks would actually be worth. You walk away with a document, not a proposal.
- Workflow map of your current manual processes
- Data-readiness assessment for AI/LLM use
- ROI estimate for automating specific bottlenecks
- Prioritized, ranked automation roadmap
- Yours to keep, whether or not you build with us
What We Actually Do
Four things, in order.
Workflow Mapping
We document how a process actually runs today — who touches it, where it slows down, and where it’s a reasonable candidate for automation versus something that needs to stay manual.
Data-Readiness Audit
We check whether the data behind that process is structured, current, and unified enough for a language model to read and act on — or whether it’s scattered across siloed, legacy systems first.
ROI Calculation
For each bottleneck we identify, we estimate what automating it is actually worth in time or cost — so the roadmap is ranked by return, not by what sounds impressive.
Prioritized Roadmap
A written, ranked plan for what to automate first, what to fix before automating, and what isn’t worth touching yet — the exact scope needed to plan an implementation accurately.
Timeline
A 2–4 week engagement, not an open-ended discovery phase.
Workflow & Stakeholder Mapping
We walk through the manual processes in scope with the people who run them day to day.
Data-Readiness Assessment
We review the systems and records behind those workflows for structure, duplication, and gaps.
ROI Modeling & Prioritization
We rank candidate automations by expected return against effort and data readiness.
Roadmap Delivery & Walkthrough
We present the written roadmap and walk through what we’d recommend building first.
Frequently asked questions
Answers to common diagnostic questions
What do I get if I don’t move forward with implementation?
You keep the workflow map, the data-readiness assessment, and the prioritized roadmap regardless. They’re yours to use, whether that’s with us or another partner.
What if the audit finds our data isn’t ready for AI?
That’s a valid outcome, not a failure. The roadmap will say so directly and lay out what needs to happen first — consolidating siloed systems, cleaning specific fields, or fixing a data pipeline — before an automation project would be worth funding.
How is this different from a free consultation?
A free consultation is a conversation. This is a structured, multi-week engagement that produces a written workflow map, a data-readiness assessment, and a prioritized roadmap with ROI estimates — a deliverable you own, not a sales pitch.
Do you specialize in Master Data Management?
Yes. The data-readiness portion of the diagnostic draws directly on Master Data Management and enterprise systems experience — identifying siloed, duplicated, or unstructured data before it becomes the reason an AI workflow produces unreliable output.
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