Eighty years of delivery experience.
Now AI-enabled at every step, reasoning live against your operation.
Proudfoot AI reasons against the methodology, the benchmark set, and 20,000+ engagements to read the operation, find the prize, and surface the action the supervisor needs before the shift starts. It reasons against the work.
What we build for our own delivery, we deploy for our clients.
Start your diagnostic →What Proudfoot AI does.
Know the size of your prize before you spend
Proudfoot AI reads your own operating data against The Proudfoot System, the benchmark set, and 20,000+ engagements across 105 countries, and sizes the opportunity in days, remotely. AI diagnostics built this way have sized the prize at global miners, energy majors, building-materials producers and manufacturers.
See the problem before the shift starts
AFOR turns your operating data into the report a supervisor reads before every shift: the variance against plan, and the action to take before a two-hour loss becomes an eight-hour one.
MOS Critic
Reads the operating cadence in real time and surfaces the gaps in supervisory behavior, planning cadence, and accountability structure, with the action to close each one.
Patterns no single engagement can see
Behind every read sits the codified record: findings from across engagements classified into recurring archetypes, a hypothesis library covering every pattern of underperformance the firm has met, and 86 methodology steps. Your operation is read against everything we have ever seen.
The AFOR family.
AFOR: the Agentic AI Frontline Operating Report. One part of the Proudfoot MOS, not a separate service. The family: AFOR Forecast forecasts what moving from a manual operating report to an AI-enabled one would free up, the supervisory time recovered and the value it unlocks, sized before you commit. AFOR Field is how our consultants capture what is actually happening at the point of work during the diagnostic, recorded where the work happens and pulled from the systems you already run. Every observation is tied to its cause, the value lever it affects, and the money at stake, so the findings are evidenced, not asserted. AFOR Daily turns the operating data into the report a supervisor reads before every shift: takt by takt, variance against plan, the action to take before a two-hour loss becomes an eight-hour one. It replaces the manual daily operating report, the spreadsheet takt board, and the end-of-shift handover email. Across an engagement it appears at each stage: forecasting the AFOR opportunity before you commit, capturing the frontline data in the diagnostic, running live through implementation, and staying with your team as the operating layer after we leave.
The AI pipeline.
Data ingestion
Operating data, system landscape, and the client organization's existing cadence are ingested and mapped against the methodology corpus. The read runs inside a Proudfoot restricted, self contained data environment; no data is sent outside Proudfoot's environment and the data is not used to train any models.
Benchmark matching
The model matches the live operation against the relevant benchmark set from 20,000+ prior engagements. Gaps are sized and prioritized. Findings from across engagements are classified into recurring archetypes, so the read starts from pattern recognition, not from a blank page.
Hypothesis generation
The value-driver tree and opportunity hypothesis are generated. The consulting team reviews, adjusts, and validates against frontline observation. The output is the value-driver tree you can leaf through in the sample findings pack.
Action surfacing
AFOR delivers the prioritized action to the supervisor before each shift. The cadence is daily and weekly. This is AFOR Daily, the working surface shown in the AFOR sample.
Closed-loop learning
Results are fed back into the model. The benchmark set and hypothesis library improve with every engagement. This is the compounding asset: every engagement makes the next read sharper, and no entrant can shortcut it.
What a Proudfoot AI diagnostic looks like.
You provide data: the historian, the CMMS, the planning system, the shift logs, whatever your operation already produces. No new instrumentation, no integration project. Proudfoot AI maps what it finds against the methodology corpus and flags the gaps worth a conversation.
The model reads. Variance patterns against the benchmark set, the operating cadence reconstructed from your own records, the hypothesis library run against the evidence. A senior operator, someone who has stood on frontlines like yours for decades, challenges every finding: the model proposes, the operator disposes, and what does not survive thirty years of operating experience is struck.
You hold the findings: a value-driver tree where every branch traces to your own data, a maturity baseline for your operating system, a sized prize in three bands, and the prioritized moves. Signed by the operator, not the model. That is the discipline behind every Proudfoot AI output, and it is why the deliverable is decision-grade rather than interesting.
Architecture and operating system.
The Proudfoot AI platform is built on the codified residue of every engagement the firm has run since 1946. The methodology corpus covers 5 phases and 86 steps. The benchmark set covers 20,000+ engagements across 105 countries. The hypothesis library covers every pattern of operational underperformance the firm has encountered.
The platform operates inside the client's data environment. No operational data is retained beyond the engagement. The AI model reasons against the methodology corpus and the benchmark set, reading the operation through the practice Proudfoot has installed. And every output carries a signature: a senior operator challenges each finding before it reaches you, every figure traces to a source in your own data, and nothing ships on the model's word alone.
Start with the AI Diagnostic.
Remote, in days, $20,000, credited against the Five-Day Diagnostic if you proceed within 90 days. When you want senior operators standing on your site, the Five-Day Diagnostic follows: five days on the frontline, one decision at the end.
Start your diagnostic → See the sample pack