Fix-First Recommendation List
The specific system, record, reporting, and workaround issues to address before AI work begins, ranked by impact.
Proof
Gives the operations or IT team a clear fix sequence.
AI relies on the tools, platforms, apps, spreadsheets, reports, and records the business runs on. One month to identify what exists, what each system holds, where records conflict, who owns them, and what must change before AI work begins.
Your business runs on tools, platforms, apps, spreadsheets, reports, and workarounds that do not always agree. Your CRM tells one story, your project system tells another, and your reporting pack gives a third answer.
This service is a first sweep of the core systems and operational records AI would rely on inside the business. I identify what tools, platforms, apps, spreadsheets, reports, integrations, and workarounds are in play; what each system holds; where records conflict; who owns each system or record set; and which issues would make AI unreliable or risky in practice.
The output is a clear priority list: what to fix first, what source of truth to use, and what must be addressed before AI work proceeds. This is a diagnostic, not a migration, integration, database rebuild, data warehouse project, knowledge audit, or procurement exercise.
Every core tool, platform, app, report, spreadsheet, and workaround in scope is mapped. If AI would rely on it, I identify what it holds and whether the business can trust it.
This layout is for explaining a service as a repeatable operating shape: who it is for, how the work moves, and what the client leaves with.
CRM records, project platforms, reports, and spreadsheets disagree with each other. There is no single source of truth and nobody is sure which version is right.
Systems have grown over time without clear ownership. Nobody knows who to ask when a record, report, spreadsheet, or platform field is wrong, incomplete, or outdated.
You are planning AI work but know, or suspect, that the operating stack is not ready. You want to fix the system and record issues before they become expensive mid-project problems.
Identify the core tools, platforms, apps, spreadsheets, reports, integrations, and workarounds the business uses for operations, client delivery, and reporting.
Week 01For each system or record set, assess what it holds, whether it is current, where it conflicts with other records, and who is responsible for it.
Week 02Prioritise issues by how much they would affect AI reliability. Separate must-fix from nice-to-fix from irrelevant.
Week 03Present the fix-first list, the source-of-truth summary, and the ownership assignments the business needs to act on.
Week 04The specific system, record, reporting, and workaround issues to address before AI work begins, ranked by impact.
Gives the operations or IT team a clear fix sequence.
Which system or record set is authoritative for each important business record, and where that is contested.
Resolves the "which version is right" question.
What tools, platforms, apps, and reporting sources are in use, what they hold, and how they connect.
Shows the operating stack in one place.
Incomplete records, duplicated data, stale information, naming inconsistencies, and system conflicts.
Names the issues that would make AI unreliable.
Who is responsible for each important system, report, spreadsheet, or operational record.
Turns system reliability from a vague problem into an owned one.
For each key system or record set, a plain-English note on whether AI can safely rely on it and what would need to change.
Connects systems health directly to AI readiness.