Mufasa Labs
Sample report · illustrative dataExample output

Prepared for

Acme Manufacturing Co.

420 employees · Manufacturing · Assessed across 4 dimensions

Maturity stage: Builder — stage 2 of 4

The foundations are forming. Time to ship one real win — then compound it.

This is illustrative. Take the 3-minute assessment

54
/ 100 readiness

Executive summary

Acme Manufacturing scores 54/100 — Builder stage. The organization is ahead of manufacturing peers on AI adoption (one live pilot with early results) but behind on automation, where an estimated 120 hours per week of manual re-keying sits in the order desk alone. Governance is written but not enforced, and shadow AI usage was detected in four departments.

The highest-leverage move is concentrating effort on one production win — order-intake automation — while standing up the two foundations everything else needs: permission-aware search and a governed AI gateway. The 90-day plan below sequences this with measurable checkpoints at each phase.

Dimension breakdown

Data Readiness

50%

Peer median: 45%

Core systems exist but data is duplicated between ERP and spreadsheets. A governed warehouse with one agreed definition per metric would unlock search, agents, and forecasting.

Data Engineering

Automation

33%

Peer median: 41%

Order intake and reporting are heavily manual — entire roles spend most of the week re-keying between systems. This is the largest and most measurable near-term opportunity.

Workflow Automation

AI Adoption

67%

Peer median: 38%

One sanctioned pilot is live with promising early numbers — ahead of peers. The risk is pilot sprawl; the plan below concentrates effort on graduating one workflow to production.

AI Agents

Governance

67%

Peer median: 52%

A written AI policy exists but isn't technically enforced, and permissions vary by system. A governed gateway would turn the policy from a PDF into infrastructure.

AI Governance

Maturity stage

Explorer
0–34
Builder
35–59
You are here
Operator
60–84
Leader
85–100

Ranked opportunities

Sized by value and feasibility, sequenced so each win funds the next.

1

Automate order intake from email to ERP

High impactMedium effort

≈120 hrs/week of re-keying across the order desk. Document AI plus validation into the ERP, with exceptions routed to a human queue.

Workflow Automation
2

Permission-aware search over top 3 content systems

High impactLow effort

SharePoint, the shared drive, and the wiki hold most answers. One cited search surface ends the 'ask around' culture and feeds every later AI initiative.

Enterprise Search & RAG
3

Governed AI gateway with logging and redaction

Medium impactLow effort

Shadow AI usage was detected in 4 departments. A single governed entry point makes the existing policy enforceable and unblocks faster approvals.

AI Governance
4

After-hours voice agent for order status calls

Medium impactMedium effort

31% of inbound calls arrive outside staffed hours and hit voicemail. An agent grounded in the ERP can answer status questions and book callbacks.

AI Voice Agents

Your first 90 days

01Days 0–30

Foundations

  • Stand up governed AI gateway; publish enforceable usage policy
  • Index top 3 content systems for permission-aware search
  • Document the order-intake process end to end with the ops team
02Days 31–60

First production win

  • Order-intake automation built and parallel-running against the manual baseline
  • Search pilot live with one department; answer quality measured weekly
  • Data warehouse modeling for the two metrics leadership disputes most
03Days 61–90

Prove & expand

  • Automation cutover with exception queue; hours-saved dashboard live
  • Company-wide search rollout with adoption tracking
  • Scope wave two: voice agent pilot and underwriting-style triage

Risk flags

Shadow AI in 4 departments

High

Employees paste customer data into unsanctioned public chatbots. Governance gateway closes this within 30 days.

Permission drift across systems

Medium

Access rules differ between SharePoint and the file server — any AI connected today could over-share. Fix before search rollout.

Tribal knowledge concentration

Medium

Two veterans hold most process knowledge and retire within 24 months. Knowledge capture is scheduled in wave one.

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