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WORK AX — COMPANY-WIDE & OFFICE AI TRANSFORMATION

Is your office data scattered too,while people still do all the repetitive work by hand?

This is consulting that centralizes scattered company-wide and office data, and automates work like sales, contracts, inquiries and reporting with AI on top of role- and rank-based access governance. WACE's edge is not a flashy demo but the depth of data governance and ontology proven in manufacturing.

DATA GOVERNANCE · ONTOLOGY · ACCESS GOVERNANCE · WORK AUTOMATION ROADMAP · L1 → L3
01PROBLEMSCATTERED OFFICE DATA · MANUAL REPEAT WORK

Office data is scattered too,
and people do all the repeat work.

Sales, contract, inquiry and reporting data is scattered across departments and files, so finding it, using it and processing it are all tied up in human hands.

P-01

Company-wide data works in separate silos

Sales, accounting, CS and documents are scattered across their own systems and spreadsheets, so each department manages the same fact differently.

P-02

Repetitive work is tied to human hands

Report compilation, contract review, inquiry sorting and other repetitive tasks eat up time every day.

P-03

Permissions are not organized

With no access system by role and rank, it's ambiguous whether to open data up or lock it down.

P-04

It's unclear where to start

It's hard to judge what to automate first for results, and what is possible now versus not yet.

02WHAT IT ISCENTRALIZE · GOVERN · AUTOMATE

Here's what Work AX Consulting does.

We centralize scattered company-wide and office data into one place, design access governance by role and rank on top of it, and then automate repetitive work with AI. AI transformation on the plant floor is handled by Manufacturing AX Consulting; this line extends that methodology into the office and company-wide domain — reaching into the non-production departments of manufacturing customers as well.

SOL-01

Company-wide data centralization

We find sales, contract, inquiry, reporting and document data, unify it in one place, and structure it as an ontology so AI can use it right away. The whole company works from the same source, the same standard.

BASESCATTERED → CENTRALIZED · CROSS-SOLUTION ONTOLOGY
SOL-02

Access governance by role and rank

We design who can access which data by role and rank. What should open, opens fast; what should be locked, stays locked for sure.

GOVERNROLE · RANK PERMISSION MATRIX · ACCESS CONTROL
SOL-03

AI automation of repetitive work

We derive use cases from repetitive work — sales reports, contract review, inquiry sorting — and automate them. We separate what can start now with current assets from what becomes possible after extension, and present it as a roadmap.

AUTOMATEUSE-CASE DERIVATION → PRIORITIZATION → PHASED BUILD
Honestly — what we can do now, and what not yet

Work AX is not an area where WACE has built up as many cases as in manufacturing. So we present office automation not as "already complete," but as a "feasible roadmap."

With our no-code data-workflow tool VEXPLOR DataFlows, data analysis, aggregation and automation can be built today. However, the large language model (LLM) nodes — three of them (OpenAI, Claude, Gemini) — that handle documents and natural language are not yet implemented, so use cases that rely on them (contract review, inquiry sorting, and so on) are marked as feasible after that extension. We do not blur this boundary.

03USE CASESFEASIBLE ROADMAP · NOW vs AFTER EXTENSION

These are the tasks
we automate with AI.

Below are work-automation use cases. Each is marked as either available now with current assets, or feasible after the LLM-node extension — we do not present them as complete.

U-01 · DATA AUTOMATION

Auto-compiled sales and performance reports

AI automatically compiles scattered sales, revenue and inventory data, adds a summary, and sends it at a set time.

AVAILABLE NOW · DATAFLOWS
U-02 · INVENTORY · DEMAND

Inventory and demand analysis workflow

We build a workflow that analyzes sales and inventory data to forecast reorder timing and demand.

AVAILABLE NOW · DATAFLOWS
U-03 · DOCUMENTS · ROADMAP

Automated contract and document review

Uploaded contracts and documents are checked against standard clauses to flag risk items.

FEASIBLE AFTER LLM-NODE EXTENSION
U-04 · INQUIRIES · ROADMAP

Automated inquiry and review triage

Incoming inquiries and reviews are sorted by type and owning team, and summarized.

FEASIBLE AFTER LLM-NODE EXTENSION
U-05 · WORKFLOW

Automated ordering and approval workflow

Repetitive ordering and approval procedures are automated as rule-based workflows.

AVAILABLE NOW · DATAFLOWS
U-06 · DOCUMENTS · ROADMAP

Internal document summary and search

Internal documents are summarized and made searchable in natural language.

FEASIBLE AFTER LLM-NODE EXTENSION
"Available now" is the scope we build today with VEXPLOR DataFlows · "Feasible after extension" is the scope after the LLM nodes (not yet implemented) are complete — the diagnosis fixes the roadmap to your priorities

What you can build today — VEXPLOR DataFlows

Below are the three use cases available now with current assets (U-01 · U-02 · U-05), built as actual screens on VEXPLOR DataFlows. Summaries are produced by rule-based aggregation, not natural-language generation, and features that require the LLM-node extension are not included.

Auto-compiled sales report screen — weekly sales report preview, auto-send schedule, rule-based aggregation highlights
U-01 · Data Automation

Auto-compiled sales reports

Bookings, revenue and receivables are compiled by rules, summarized, and sent at a set time.

Inventory and demand analysis workflow screen — no-code data flow canvas from sales history through demand forecast, reorder-point calculation and API deployment
U-02 · Inventory · Demand

Inventory and demand workflow

Sales and inventory data is chained in a no-code flow to forecast reorder timing and feed the ordering screen.

Automated ordering and approval workflow screen — approval queue, amount-rule-based automatic routing stages, anomalous-amount flag
U-05 · Workflow

Ordering and approval automation

Approval paths are routed automatically by amount and budget rules, with anomalous amounts flagged.

Screen data and figures are operational examples · actual screens are configured to your data and access model
04NEXT STEPSIBLING SERVICE LINES

On the plant floor,
there's a different entry point.

Work AX covers the office and company-wide domain. AI transformation on the plant floor and full-plant lights-off operation are handled by sibling lines, and manufacturing customers can run both tracks together.

PLANT FLOOR · L1 → L3

Manufacturing AX Consulting

AI adoption and results for the manufacturing floor — equipment, processes, quality and more. Short-term results from use cases proven in the manufacturing domain.

SCOPEDATA STANDARDIZATION · PREDICTIVE MAINTENANCE · ANOMALY DETECTION · QUALITY PREDICTIONSee Manufacturing AX Consulting →
LONG-TERM · L3 → L4

Dark Factory Consulting

The long-term strategy to turn a whole plant into a lights-off factory run by AI. Designed with autonomous-control governance and wave-separated investment.

JOURNEYFOUNDATION → INTEGRATION → INTELLIGENCE → AUTONOMYSee Dark Factory Consulting →
05DIAGNOSIS4 STEPS · WEEKLY REVIEW · ENGINEERS ON-SITE

Diagnose → centralize & design access →
build automation → closeout report.

We run the plant-diagnosis method, adapted to the office and company-wide domain, in four steps. WACE engineers go in with you, and share progress every week in a fixed format. The timeline is fixed in the diagnosis, according to scope.

01

Diagnosis

We identify company-wide and office data, and diagnose silo and permission gaps and the data AI can use.

02

Data centralization & access design

We design company-wide data centralization, access governance by role and rank, and the ontology.

03

Work automation build

We automate the high-priority use cases first — separating what's available now with current assets from the extension roadmap.

04

Closeout report

We compile and report the diagnosis and design results, the execution roadmap, and the performance baseline.

DIAGNOSIS → CENTRALIZE · ACCESS DESIGN → WORK AUTOMATION BUILD → CLOSEOUT REPORTWHAT YOU RECEIVE — DIAGNOSIS REPORT · DATA/ACCESS DESIGN · WORK AUTOMATION ROADMAP · PERFORMANCE BASELINE / DELIVERY: WORK DIAGNOSIS & AUTOMATION PLAYBOOK (LIGHTWEIGHT v0.1)
06HOW WE WORKQUALITY PROMISE ×4 · PAY AFTER PROOF

How we work — you pay after
you've seen the result.

We work by predictable rules. Four quality promises we keep, and the roles we ask of you to make the project succeed.

Q-01

Every number has a source

Any figure in a report can be traced in a footnote to which data it came from, and how.

Q-02

We separate what we can do from what we can't

We distinguish what's feasible now from what becomes possible after extension, from the very start. We do not inflate it into "complete."

Q-03

No surprises

The substance of interim and final reports is shared individually before the meeting. The worse the news, the earlier it arrives — and in writing.

Q-04

Three honest options when a gate is missed

Remediate and re-judge, proceed with only what passed, or stop and settle — agreed with you and put on paper.

GATE PASSED = STAGE ACCEPTED = INVESTMENT RELEASED — YOU PAY AFTER YOU'VE SEEN THE RESULTSTAGE COMPLETION IS JUDGED JOINTLY AGAINST PRE-AGREED CRITERIA · INVOICING IS TIED TO GATE PASSAGE
YOUR TEAM · R-01

Executive sponsor

One executive to join the monthly steering meeting and approve the stage gates.

R-02

Project owner

One working-level lead to attend the weekly reviews and coordinate internally.

R-03

Data authority

Someone to approve the provision and release of company-wide data.

R-04

Department liaison

Someone to arrange interviews and work-review schedules.

07METHODLIGHTWEIGHT PLAYBOOK · GOVERNANCE-FIRST

A work diagnosis and automation
playbook built for the office.

The manufacturing-floor standards are specialized to the floor, so we don't apply them to the office as-is. Work AX runs on a separate lightweight playbook (v0.1), porting the data-governance and ontology methodology proven in manufacturing into the office.

M-01

Work diagnosis check

We diagnose the company-wide data inventory and silo/permission gaps against a fixed set of items.

SCOPEDATA INVENTORY · PERMISSION GAP DIAGNOSIS
M-02

Access governance matrix

We design access levels across role/rank × data domain as a matrix.

GOVERNROLE · RANK × DOMAIN ACCESS LEVEL
M-03

Use-case catalog

We derive work-automation candidates as a catalog, separating current assets from the extension roadmap.

ROADMAPAVAILABLE NOW vs FEASIBLE AFTER EXTENSION
M-04

Honesty-guard check

For every deliverable, we check the "feasible roadmap" labeling and the boundary of what is not yet implemented.

GUARDNO COMPLETENESS CLAIMS · BOUNDARY STATED
The playbook is a lightweight draft (v0.1) that formalizes as it goes through projects — we state its current status exactly as it is
08FIT & ESTIMATE3 PROFILES · 3-AXIS · NO LIST PRICE

It fits companies like these —
and here is how we price it.

T-01

General companies with scattered office data

Companies where sales, accounting, CS and documents are managed separately by department.

T-02

Non-production departments of manufacturers

Extension into the sales, admin and CS departments of manufacturing customers who adopted Manufacturing AX.

T-03

Repetitive work automation

Organizations looking to cut repetitive work like reports, contracts and inquiries with AI.

SCOPE

What's included

Company-wide and office data diagnosis · centralization & access design · work automation build · closeout report.

TEAMWACE ENGINEERS · TIMELINE SCOPED TO YOU
FORMULA

Three pricing axes

Data scale and integration breadth / scope of access and governance design / number of work-automation use cases and build depth.

3-AXISDATA SCALE · GOVERNANCE · USE CASES
PACKAGE

Bundled discount

We scope an exact quote after a meeting. Adopting it together with Manufacturing AX earns a bundled discount.

OPTIONMANUFACTURING AX BUNDLE · TRAINING BUNDLE — GROWS AS YOU BUNDLE
Pricing page — see the full basis →
09WHY WACEGOVERNANCE DEPTH × ONTOLOGY × HONESTY

What makes us different
from generalist AI consulting.

Office AI automation is handled by many vendors. WACE's difference is not a flashy demo, but the depth of data governance and ontology actually proven in manufacturing, and the honesty of separating what we can do from what we can't.

W-01

Data-governance and ontology depth

We port the methodology that has tied complex plant-floor data into one ontology into the office and company-wide domain. Gathering data is one thing; governing it is another.

DEPTHCROSS-SOLUTION ONTOLOGY · ACCESS GOVERNANCE
W-02

No-code data-workflow asset

With VEXPLOR DataFlows, we compose data analysis, aggregation and automation without coding, and deploy them as a REST API. The scope that's feasible now is clear.

ASSETDATAFLOWS NO-CODE WORKFLOW · API DEPLOY
W-03

Honesty that doesn't blur the boundary

We say "feasible roadmap," not "already complete." We tell you the limits first — like the not-yet-implemented LLM nodes — so you're not disappointed after adoption.

HONESTYFEASIBLE ROADMAP · NOT-YET-IMPLEMENTED BOUNDARY STATED
Any manufacturing track record and figures on this page are grounds for the company's capability, not presented as verified results in the office domain — our Work AX verification assets are shallower than in manufacturing, and we state that fact
Resources — get the consulting brochure →

From scattered office data to work automation.

We diagnose honestly, with your own data, what's possible now and what comes after extension.

Request a Diagnosis
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