IMPROVEMENT · AS A SERVICE

Your new website tool, let's get started.

X is built on a decade of process-mining science and runs as a team of agentic specialists. They connect to your enterprise data, find waste, ship fixes, and prove ROI continuously — and you can hire more agents, designed for your processes, whenever you need them.

Improvement Team · Today LIVE
A
Andy · Scout
Scanning P2P event log · 1.2M events
14 leads
A
Aki · Analyst
Quantified bottleneck at 3-way match
€480k/yr
N
Noor · Architect
Drafted 3 countermeasures · ranked by ROI
A3 ready
T
Toma · Doer
Implementing approval-rule fix
62% done
Outcomes the team — and the agents you build — deliver across deployments
34% Cycle time across order-to-cash
46% Throughput in manufacturing lines
52% Manual rework hours per month
8.4× Improvement velocity vs. consultancy
[ The foundation · process mining ]

Every agent stands on a decade of process mining science.

Before any agent can improve a process, it has to see the process — exactly as it runs, not as a flow chart on the wall. X's engine ingests transactional events from your line-of-business systems, reconstructs the true end-to-end flow, and measures conformance, variants and rework continuously.

This is the substrate. Every agent — ours or yours — queries the same event log, which means they reason from the same ground truth instead of opinions.

  • End-to-end discovery Reconstruct the real process from raw events — not interviews.
  • Conformance & variants Measure deviation against the standard, surface workarounds.
  • Quantified bottlenecks Cycle time, rework cost and SLA risk attached to every variant.
  • Drift detection Continuous monitoring catches regressions in hours, not quarters.
Connected sources · live 3.4M events / day
SAP
SAP S/4HANAP2P · O2C event tables
1.2M /d
SF
SalesforceCases & opportunity stages
340k /d
SN
ServiceNowIncident & change events
580k /d
D365
Dynamics 365Order & fulfilment lifecycle
410k /d
IoT
Shop-floor MES & IoTRun, downtime, changeover signals
820k /d
process-mining engine
X Process Graphconformance · variants · cost-per-path
14,283
variants tracked
[ The starter team · 04 pre-built specialists ]

Your core improvement team, ready on day one.

Four agentic specialists, each with a clear job in the lean improvement cycle. They work together the way a real continuous-improvement office does — only they never sleep, never lose context, and never need a slide deck to explain their findings. Hire them as-is, or extend them with agents you design yourself.

/01 — SCOUT
A

Andy

Process Scout

Connects to your ERP, CRM, ITSM and IoT logs. Reconstructs the real process — variants, loops, and the routes nobody documented.

  • SAP · Dynamics · ServiceNow · Salesforce
  • Variant discovery
  • Conformance checking
/02 — ANALYST
A

Aki

Quantitative Analyst

Turns variants into euros. Sizes every bottleneck by lost margin, SLA penalty and working-capital drag — so you know what to fix first.

  • Bottleneck quantification
  • ROI & payback modelling
  • Statistical significance testing
/03 — ARCHITECT
N

Noor

Improvement Architect

Designs countermeasures rooted in Lean & Six Sigma. Writes the A3, picks the owners, sets the leading indicators — all reviewable before anything ships.

  • Root-cause analysis
  • A3 & PDCA generation
  • Countermeasure ranking
/04 — DOER
T

Toma

Execution Doer

Pushes the change. Files the ticket, updates the workflow rule, nudges the owner. Closes the loop and proves the impact in the same dashboard.

  • Workflow automation
  • Owner orchestration
  • Impact verification
[ Build your own · HR for operational efficiency ]

Hire more agents. Designed by you, for your processes.

The four core specialists handle the lean improvement cycle. But every operation has its own jobs that need doing — a Maverick Spend Watcher, a Claims Triage Auditor, a Bottleneck Sentinel for Line 7. X is the workspace where you design those agents, connect them to your line-of-business sources, and put them on the roster.

Think of X as an HR system for an agentic workforce. You set the job description, pick the data the agent can see, define when it should escalate to a human — and the process-mining engine gives every agent the same trustworthy view of how work actually flows.

Line-of-business sources 12
  • SAP SAP S/4HANA ● live
  • SF Salesforce ● live
  • SN ServiceNow ● live
  • CB Coupa ● live
  • JR Jira ● live
  • D Dynamics 365 ● live
  • HS HubSpot + connect
  • SH Shopify + connect
Agent designer DRAFT
S
Sigrid
Maverick Spend Sentinel
EDITING
Job: Watch all PO-less invoices over NOK 50k. When a department exceeds its monthly off-contract spend by 15%, draft a Slack message to the category manager with the top 5 vendors and a proposed contract route.
Sees · sources
SAP · invoice events Coupa · contracts D365 · GL postings
Acts · permissions
Slack · category-mgr DM Coupa · suggest contract (human approval)
Escalates to
Aki · for ROI sizing Noor · for countermeasure design
Your roster 11 agents
CORE TEAM
  • A
    Andy
    Process Scout
  • A
    Aki
    Quant Analyst
  • N
    Noor
    Architect
  • T
    Toma
    Doer
YOUR SPECIALISTS
  • S
    Sigrid
    Maverick Spend
  • L
    Liva
    Claims Triage
  • K
    Kåre
    OEE Sentinel
  • E
    Eira
    KYC Refer-Back

Example specialists customers have built

Each one is a few hundred words of prompt, the right LoB sources, and the boundaries of what it can act on without a human.

S
Sigrid
Maverick Spend Sentinel
Watches off-contract spend, surfaces vendors that should be under category contracts, drafts the case for procurement.
SAPCoupaD365 GL
L
Liva
Claims Triage Auditor
Audits FNOL routing decisions overnight, flags claims sent down the wrong path, calculates LAE impact.
GuidewireSalesforceDocMgmt
K
Kåre
OEE Sentinel · Line 7
Watches changeover and downtime events on a single bottleneck cell, escalates pattern shifts within the shift.
MESIoT eventsMaintenance
E
Eira
KYC Refer-Back Watcher
Catches onboarding cases bouncing between compliance and front-office more than twice, proposes the missing artefact.
CRMKYC stackDocMgmt
R
Runa
DSO Watch · Top 50 Accounts
Tracks payment behaviour drift on largest accounts, warns AR before it hits the aging report.
SAP ARSalesforceBank feed
O
Odin
Change Failure Auditor
Correlates ServiceNow incidents with recent deployments, flags change records that statistically caused the regressions.
ServiceNowGitHubPagerDuty
[ Self-healing processes ]

Self-healing processes that auto-quantify ROI are now a reality.

Every fix X proposes carries a price tag — and every fix X ships is measured against that price tag in the same event stream it found the problem in.

When a process drifts back, the team detects it within hours, re-opens the countermeasure, and patches itself. ROI compounds instead of decaying.

  • 01
    Continuous detection New bottlenecks surfaced as they emerge — not at the next quarterly review.
  • 02
    Auto-quantified business case Every finding shipped with a euro figure, a confidence interval, and the data trail.
  • 03
    Closed-loop verification Impact tracked in the same event log — no separate KPI dashboard to maintain.
  • 04
    Drift detection & re-healing If the process regresses, the team re-opens the case and ships the fix again.

Improvement loop · Procure-to-Pay

SELF-HEALING
1
Detected — duplicate invoice path
ANDY · 14:02 · 1,283 cases affected
+ €112k
2
Quantified — leakage & rework
AKI · 14:04 · 95% confidence
€480k/yr
3
Designed — 3-way match rule v2
NOOR · 14:06 · A3 #2294
A3 ✓
4
Shipped & verified in SAP
TOMA · 14:18 · −68% duplicates
✓ live
Net annualised impact · YTD
€ 4.27 M
+ €312k since last week
41 cases
shipped
[ Proof · Across industries ]

Different processes. Same playbook.

From a procurement desk in Oslo to a claims floor in Helsinki, the team adapts to your data and your terminology. Below are representative outcomes from improvement-as-a-service deployments.

Procurement

Procure-to-Pay

3-way match · invoice exceptions · maverick spend
P
42%
Invoice exceptions
28%
Maverick spend
3.1×
Early-payment discounts captured
Insurance

Claims handling

FNOL → settlement · leakage detection · SLA
I
31%
Time to settle
19%
Claims leakage
17pt
NPS, post-claim
Banking

Onboarding & KYC

application → activation · review queue · refer-back loops
B
46%
Onboarding lead time
52%
Refer-back loops
23%
Activated accounts / FTE
Industrial

Manufacturing flow

order → ship · changeovers · WIP & bottlenecks
M
21%
OEE on bottleneck cells
34%
Order-to-ship cycle time
27%
Work-in-progress inventory
[ How it works · 03 phases ]

From signed contract to first quantified win — in weeks, not quarters.

Improvement-as-a-Service replaces the consulting engagement with a working team that ships from week one.

Connect

We plug into your transactional systems. The Scout reconstructs the real process from your event data — not from interviews. You get a baseline within days.

WEEK 1 · DATA · BASELINE

Quantify

The Analyst sizes every variant in money. The Architect drafts countermeasures with owners and target metrics. You approve the ones that pay back.

WEEK 2–3 · A3 · APPROVAL

Heal & track

The Doer ships. The team measures impact in the same event log it discovered the problem in. If the process drifts back, the loop re-opens automatically.

WEEK 4 → ∞ · CONTINUOUS
[ In production · Glamox AS ]
“Namuda gives us the helicopter view no other system managed to offer — and the team behind it does the work we used to outsource to consultants.”
Tuan Viet Vo Head of Core Business Operations · Glamox

Hire the team.
Then build your own.

Start with the four core specialists. Add the agents your operation needs. All grounded in the same process-mining engine, all paid for in proven impact.

Download now →